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Introduction Blog To TestComplete

With modern businesses becoming bigger and better, competition is getting higher than ever before. Hence, it’s incredibly important to assure that a company is offering quality products to its consumers to keep up with its competitors. So how a company can deliver a quality product? One particular way is through TestComplete. So, what is TestComplete? TestComplete is an Automated UI Testing Tool developed by SmartBear Software that lets you create, maintain, and execute functional tests across desktop, web and mobile applications. TestComplete helps testers develop their test cases in various scripting languages like JavaScript, Python, etc. It is the only test automation tool you will ever need. TestComplete Components: TestComplete Platform TestComplete Desktop Module TestComplete Web Module TestComplete Mobile Module 1. TestComplete Platform: It powers TestCompleteDesktop, Mobile automated testing tools, and Web which will help you build solid automated tests across multiple devices, platforms, and environment smoothly and instantly. The TestComplete platform is a prerequisite either to use TestCompleteDesktop, Web or Mobile. 2. TestCompleteDesktop Module It imparts support for testing a variety of desktop applications which are created by various languages. TestCompleteDesktop comes with many functional testing capabilities and automated testing  tools, and has everything you need in an automated testing tool. Watch the video about TestCompleteMobile Module here 3. TestCompleteWeb Module: The TestCompleteWeb Module helps you create functional tests for websites and automated Graphical User Interface (GUI), web apps and mobile applications. You can also create robust web tests within a short span of time. TestCompleteWeb comes with diverse features that make automating web testing effective and productive. 4. TestCompleteMobile Module: It allows you to create robust automated tests for web, native, web or hybrid mobile Android applications. There is no need to root your devices since it provides full device control. TestComplete License Types and License Cost: TestComplete licenses include the following information: The names of the product modules and add-ons you can use The number of product instances that can work concurrently TestComplete licenses are of two types: Node-Locked License Floating User License 1.Node-Locked License:This is a license for a software application which is assigned to one computer or dongle. This license is also referred to as Single Use License, Device License, Machine Based License, etc. This can’t be activated on virtual computers, and you can use other licenses like Floating User license or TestExecute if you need to run tests on virtual computers. 2. Floating User License:Floating User License is often used for high-value applications in corporate environments such as engineering tools and electronic design automation. Floating User License is a common way for a company to share a limited number of licenses among its FME users. 3. TestComplete Prices: The prices for TestComplete cover 12  months of support and maintenance: For Node Locked: LicensePrice (USD)TestComplete Platform988TestComplete Mobile Module1295TestComplete Web Module995TestComplete Desktop Module995For Floating Users:LicensePrice (USD)TestComplete Platform2498TestComplete Mobile Module2595TestComplete Web Module1995TestComplete Desktop Module1995Features of TestComplete TestComplete is an automated testing tool which is easy to create automated tests. It provides special features for creating tests, automating test actions, running tests, etc. It helps you improve your test coverage and assures a high-quality software. Let’s dive deeper and understand the features of TestComplete.  1. Distributed testing:TestComplete can run several automated tests across separate workstations.  2. Test of record and playback:It records the key actions required to replay the test and rejects the unnecessary actions.  3. Test Visualizer:TestComplete help you capture screenshots automatically during test execution and playback. This allows you to do a quick comparison between expected and actual screens during test.  4. Scripted testing:TestComplete has a built-in code editor which helps testers write scripts manually. You can write test scripts from scratch or modify the recorded ones.  5. Access to methods and properties of internal objects:TestComplete reads the names of the many internal elements of .NET, Java, Visual basic applications, Delphi, etc,, and also other visible elements. Benefits of TestComplete TestComplete is benefited in many ways. It has an open flexible architecture that enables users to automate applications across various browser and platforms. It also has built-in test samples to help you to get started with the tool. TestComplete is the most stable tool. Let’s discuss the top reasons to use or learn TestComplete.  1. Simple and easy to use:With its simplistic continuous integration feature, it turns out to be easily accessible and usable. People who don’t know any code can also use this.  2. Swift execution:TesComplete help you to create precise and repetitive automated testing quickly on different devices. Test Visualizer helps in saving time for developers while debugging.  3. Customization:In TestComplete, you will have an option to write or edit script manually if you find the editor tool insufficient.  4. Timely updates: With TestComplete you can always expect immeasurable customer support, high levels of maintenance, and regular updates. Cons of TestComplete:- TestCompleteLicense cost is a bit high, but it is still cheaper than QTP Only supports Windows It doesn’t support Mac There is not enough support available through open communities It is not easy to start with official documentation Career in TestComplete TestComplete is one of the best automation tools available in the market. With the increase in demand and changes in technology. TestComplete is highly popular nowadays. As the leader in the Gartner report for Test Automation tools in 2018,  there are plenty of opportunities available for professionals with skills in TestComplete. Are you considering making the switch to TestComplete? Then develop the essential skills to transform into a TestComplete professional. Taking up the TestComplete training will help you learn the fundamentals of the TestComplete tool and also provides in-depth knowledge on advanced level concepts. Carey Payette says “Training comes in handy to get a jump on new technologies and become more comfortable with them”.For software professionals, it is a must-have qualification to stay relevant and updated with advancements in the current market industry. The more technical and automated skills you have, the more marketable you will be as a tester. A survey conducted by ZipRecruiter says that the average annual pay for an Automation QA Tester in the United States is $87,521 a year. So, make the right decision to skill up withTestComplete, and step into the world of Automation testing! 
Introduction Blog To TestComplete
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KnowledgeHut is a fast growing Management Consulting and Training firm that is a source of Intelligent Information support for businesses and professionals across the globe.

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Introduction Blog To TestComplete

With modern businesses becoming bigger and better, competition is getting higher than ever before. Hence, it’s incredibly important to assure that a company is offering quality products to its consumers to keep up with its competitors. So how a company can deliver a quality product? One particular way is through TestComplete. So, what is TestComplete? TestComplete is an Automated UI Testing Tool developed by SmartBear Software that lets you create, maintain, and execute functional tests across desktop, web and mobile applications. TestComplete helps testers develop their test cases in various scripting languages like JavaScript, Python, etc. It is the only test automation tool you will ever need. TestComplete Components: TestComplete Platform TestComplete Desktop Module TestComplete Web Module TestComplete Mobile Module 1. TestComplete Platform: It powers TestCompleteDesktop, Mobile automated testing tools, and Web which will help you build solid automated tests across multiple devices, platforms, and environment smoothly and instantly. The TestComplete platform is a prerequisite either to use TestCompleteDesktop, Web or Mobile. 2. TestCompleteDesktop Module It imparts support for testing a variety of desktop applications which are created by various languages. TestCompleteDesktop comes with many functional testing capabilities and automated testing  tools, and has everything you need in an automated testing tool. Watch the video about TestCompleteMobile Module here 3. TestCompleteWeb Module: The TestCompleteWeb Module helps you create functional tests for websites and automated Graphical User Interface (GUI), web apps and mobile applications. You can also create robust web tests within a short span of time. TestCompleteWeb comes with diverse features that make automating web testing effective and productive. 4. TestCompleteMobile Module: It allows you to create robust automated tests for web, native, web or hybrid mobile Android applications. There is no need to root your devices since it provides full device control. TestComplete License Types and License Cost: TestComplete licenses include the following information: The names of the product modules and add-ons you can use The number of product instances that can work concurrently TestComplete licenses are of two types: Node-Locked License Floating User License 1.Node-Locked License:This is a license for a software application which is assigned to one computer or dongle. This license is also referred to as Single Use License, Device License, Machine Based License, etc. This can’t be activated on virtual computers, and you can use other licenses like Floating User license or TestExecute if you need to run tests on virtual computers. 2. Floating User License:Floating User License is often used for high-value applications in corporate environments such as engineering tools and electronic design automation. Floating User License is a common way for a company to share a limited number of licenses among its FME users. 3. TestComplete Prices: The prices for TestComplete cover 12  months of support and maintenance: For Node Locked: LicensePrice (USD)TestComplete Platform988TestComplete Mobile Module1295TestComplete Web Module995TestComplete Desktop Module995For Floating Users:LicensePrice (USD)TestComplete Platform2498TestComplete Mobile Module2595TestComplete Web Module1995TestComplete Desktop Module1995Features of TestComplete TestComplete is an automated testing tool which is easy to create automated tests. It provides special features for creating tests, automating test actions, running tests, etc. It helps you improve your test coverage and assures a high-quality software. Let’s dive deeper and understand the features of TestComplete.  1. Distributed testing:TestComplete can run several automated tests across separate workstations.  2. Test of record and playback:It records the key actions required to replay the test and rejects the unnecessary actions.  3. Test Visualizer:TestComplete help you capture screenshots automatically during test execution and playback. This allows you to do a quick comparison between expected and actual screens during test.  4. Scripted testing:TestComplete has a built-in code editor which helps testers write scripts manually. You can write test scripts from scratch or modify the recorded ones.  5. Access to methods and properties of internal objects:TestComplete reads the names of the many internal elements of .NET, Java, Visual basic applications, Delphi, etc,, and also other visible elements. Benefits of TestComplete TestComplete is benefited in many ways. It has an open flexible architecture that enables users to automate applications across various browser and platforms. It also has built-in test samples to help you to get started with the tool. TestComplete is the most stable tool. Let’s discuss the top reasons to use or learn TestComplete.  1. Simple and easy to use:With its simplistic continuous integration feature, it turns out to be easily accessible and usable. People who don’t know any code can also use this.  2. Swift execution:TesComplete help you to create precise and repetitive automated testing quickly on different devices. Test Visualizer helps in saving time for developers while debugging.  3. Customization:In TestComplete, you will have an option to write or edit script manually if you find the editor tool insufficient.  4. Timely updates: With TestComplete you can always expect immeasurable customer support, high levels of maintenance, and regular updates. Cons of TestComplete:- TestCompleteLicense cost is a bit high, but it is still cheaper than QTP Only supports Windows It doesn’t support Mac There is not enough support available through open communities It is not easy to start with official documentation Career in TestComplete TestComplete is one of the best automation tools available in the market. With the increase in demand and changes in technology. TestComplete is highly popular nowadays. As the leader in the Gartner report for Test Automation tools in 2018,  there are plenty of opportunities available for professionals with skills in TestComplete. Are you considering making the switch to TestComplete? Then develop the essential skills to transform into a TestComplete professional. Taking up the TestComplete training will help you learn the fundamentals of the TestComplete tool and also provides in-depth knowledge on advanced level concepts. Carey Payette says “Training comes in handy to get a jump on new technologies and become more comfortable with them”.For software professionals, it is a must-have qualification to stay relevant and updated with advancements in the current market industry. The more technical and automated skills you have, the more marketable you will be as a tester. A survey conducted by ZipRecruiter says that the average annual pay for an Automation QA Tester in the United States is $87,521 a year. So, make the right decision to skill up withTestComplete, and step into the world of Automation testing! 
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Introduction Blog To TestComplete
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Top 6 Tips To Learn Tableau

If you deal with a significant amount of data at work, then Tableau is surely a must-have tool for you. It is not only a data visualization software but it is also considered to be among the best tools available for business intelligence.  So, is it easy to learn? Well, learning Tableau requires the same amount of time, effort and dedication that you need to learn any of the statistics tools. Here are a few tips to help you to pace up your learning process of Tableau.Tip 1: Download and install Tableau Begin your data visualization journey by downloading and installing Tableau. It offers five main products that cater to diverse visualization needs for professionals as well as organizations. They are: Tableau Desktop: Created for individual use Tableau Server:  It enables collaboration for any organization Tableau Online: For Business Intelligence in the Cloud Tableau Reader: Allows you to read files saved in Tableau Desktop Tableau Public: Enables you to publish interactive data online. You can start by downloading the trial version of Tableau Desktop that’s free for 14 days. Just follow the steps to install it into your system. Once your free trial is over after 14 days, you can continue with your data visualization journey with Tableau public which comes with its own limitations of sharing your data publicly. Tip 2: Enroll for a Tableau training Confused about how to begin your Tableau journey? You can always enroll for training with a reputed training institute like KnowledgeHut to learn Tableau at a rapid pace. These courses are created by practitioners and enable you to learnin depth about each of the steps needed to complete tasks . Moreover, you will get guidance from industry experts.  Enrolling for training further gives you real-world experience while exposing you to the practical ways of solving business problems. Tip 3: Learn Tableau with large and clean data    Increase your pace of learning Tableau by diving deep into the data, using large and clean data sets for producing incredible visualization.  Tableau provides a public gallery where you can find Tableau workbooks.  The Tableau workbooks consist of various data visualization sheets and data extracts. You can quickly mimic the filters, formulas as well as graphs in order to improve your skills. You can also look for trends, relationships, and insights by using the fresh datasets available. Tip 4: Visualization and Analysis So, how does Tableau help you? Its primary motive is to build fantastic visuals, and the platforms are specially designed in order to communicate data insights through visuals.  But why do you need analytics skills in Tableau? Well, it is essential for you to develop analytical skills in order to master Tableau, as it is one of the core skills you need for your visualization career. Further, you need to use the charts and diagrams in order to make effective use of Tableau. You can expect to find yourself lost while trying many things at one time, but be sure that you will soon gain proficiency in the tools you need.  Tableau restricts the user from selecting charts that are not in line with the visual best practices. Tip 5: Be a part of the community Got stuck while working with Tableau? Fret not! You can choose from hundreds of Tableau communities to make your learning more effective. These communities are filled with data scientists, hobbyists, as well as visual data artists whom you can approach in order to learn Tableau as a beginner or even as a professional. Tip 6: Get introduced to Tableau Server and Online It is very essential for you to learn to schedule the tasks as well as provide authorization in order to enable data security by using Tableau server and online. Although this should be taken care of by Tableau administrator, having the knowledge of these concepts helps you in dashboard development.  On a concluding note Data analytics plays a crucial role in terms of business analytics and Tableau is one of the fastest evolving Business Intelligence (BI) and data visualization tools. One of the other reasons for its popularity is that it’s fast to deploy, easy to learn, and very intuitive to use for a customer. This blog introduces you to a few tips to simplify your Tableau learning process. Moreover, these tips will provide you with a structured approach in order to pace up your learning of Tableau. Wish you all the best for your Tableau journey! 
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Swift Vs Python

Programming Languages: Their popularity Every passing year witnesses changes in the preferences of programming languages. Some of them get knocked off the perch, while others continue growing. In recent years, two programming languages stand out from the rest and are rapidly growing in popularity. Those two are Swift and Python. In this article, we will talk about the attributes of Swift and Python, their pros and cons and how they are similar to each other. Read along to know more. What they are  Swift and Python. One is a general-purpose, multi-paradigm, object-oriented, functional, imperative and block-structured language while the latter is a widely-used general-purpose, high-level programming language.  Python was originally designed by Guido van Rossum in 1991 and further developed by Python Software Foundation. It was developed to stress code readability along with its syntax enables programmers to code less to express their concepts. It helps coders to speed up the workflow and integrate systems more efficiently. In a survey by Stack Overflow in 2017, Python was the fastest-growing programming language. This resulted in numerous companies prominently using Python as their programming language, the list including Quora, Netflix, Dropbox, Reddit, Facebook, Spotify, Instagram, etc.  In terms of Python’s usability shown above, Data analysis goes first, followed by web development, machine learning, and DevOps. However, Python is less used for educational purposes, prototyping, and Quality Assurance Services. Now talking about Swift, it was designed and released in 2014 after conducting fresh research on programming languages and by using a modern approach to safety, software design patterns by Apple Inc. It is a completely new programming language for the iOS application, macOS application, watchOS application, tvOS application. Needless to say, it quickly grew to be one of the top 5 programming languages and became the most used programming language among the Apple developer community within a short span of than 5 years, also effectively replacing the previously used Objective C. Let us share an important piece of information with you. According to a survey done on the most popular programming languages, Python takes the first spot with overwhelming popularity with a share of 25.36%, whereas Swift is climbing up the ladder at the 9th spot with 2.69% share. The table is mentioned below:Advantages and disadvantages of using Python  Advantages In this section, we will focus on the criteria that make Python a truly developer-friendly language. As we learnt that Python has its uses in numerous lines of work, we will find out how it ticks the checkboxes of the required criteria. Simplicity and readability One of the prime benefits of using Python is that it is simple to code and read. Of course, it is not a repetitive language to follow but is very similar to English and hence is easy to follow. Moreover, Python is a good choice for beginners in programming Multi-paradigm It is a programming language that is object-oriented as well as procedural. Its procedural paradigm allows reuse code and object-oriented methodology allows varied inheritances and summarising data and functions as one Open-source As Python is open source, you can download and modify its source code. This versatile feature led to the formation of a strong community that keeps growing stronger Integration with other languages Being an extensible and embeddable language, programmers can easily integrate Python to Java applications, C, and C++ Portability and compatibility Python is compatible with various platforms. If required, users do not require to change the code before moving the project. to be moved to another platform Vast collection of libraries Being in the game for a long time, Python boasts having a strong community with a vast range of libraries and frameworks for different purposes. providing programmers with a wide spectrum of opportunities. Additionally, libraries like Pandas, Plotly, NumPy, Pipenv, and others and are included as well. Django, Flask, CherryPy, and PyTorch are.among the most famous frameworks. Disadvantages With the pros come the cons. There is also the other side of a coin that needs attention. In spite of having a long history in the programming world, Python still has several weak sides. Not ideal for Mobile development Python is not a good solution for mobile developers. However, a come-around solution with a few challenges is Kivy - a cross-platform Python framework for developing mobile apps Design restrictions There are specific design limitations in Python. Being dynamically typed language using duck typing, Python automatically identifies a type of a variable and can cause runtime errors Although it is not frequent, it does make errors at times.  Memory consumption Python consumes high memory and is definitely not a good option to run intensive memory tasks. Swift pros and cons Being a relatively new programming language, Swift was launched at the WWDC conference in 2014. According to Apple, the primary features of Swift is that it is fast, modern and interactive. Swift's creator Chris Lattner his creation was a result of ideas inspired by different languages such as C#, Ruby, and especially by Python. That's why we can easily find a couple of similarities between Swift and Python. Nevertheless, let’s see what the pros and cons of Swift are. Advantages Easy to read and maintain The Swift program codes are based on English as it acquired syntaxes from other programming languages, thus making the language more expressive Scalable More features to Swift, so it is a scalable programming language. Swift has already replaced Objective C and Swift is what Apple is relying on Concise Swift does not include long lines of code and that favours the developers who want a concise syntax, thus increasing the development and testing rate of the program Safety and improved performance Almost 40% better than the Objective-C, Swift is handier to tackle the bugs that lead to safer programming when speed and performance is concerned Cross-device support This language can handle a wide range of Apple platforms such as iOS, iOS X, macOS, tvOS, and watchOS Automatic Memory Management This feature prevents memory leaks and helps in optimising the application’s performance that is done by using Automatic Reference Counting. Disadvantages Compatibility issues The updated versions Swift is observed to be a bit unstable with the newer versions of Apple leading to a few issues. Switching to a newer version of Swift is the fix but that is costly Speed Issues This is relevant to the earlier versions of the Swift programming language Less in number: The number of Swift developers is limited as Swift is a new programming language Delay in uploading apps Developers will be facing delays over their apps written in Swift to be uploaded to the App Store only after iOS 8 and Xcode 6 are released. The estimated time for release is reported to be September-October, 2014. Common attributes of Swift and Python Swift and Python are predominantly contrasting languages. Despite that, the do possess some common traits. Let’s see what they are. Both Swift and Python have a distinct syntax and are very similar to the English language. Missing semicolons while coding in either Swift or Python will not result in errors. Both languages have a REPL environment that aids in detecting errors in code and debugging Both are multi-paradigm programming languages They have additional tools to facilitate learning. What makes Swift and Python different from each other? From the previous discussions in this article, it is crystal clear that Swift and Python are fundamentally different from each other. Apple’s Swift is ideal for developing software for the Apple ecosystem while Python can be utilised for use cases but is mainly applied in back-end development. Moreover, as Apple claims, Swift is 8.4x faster than Python in terms of performance. Choosing between Swift and Python depends on the intent of the programmer. If the purpose is developing mobile applications that need to work flawlessly in the Apple platforms, then Swift is the ultimate choice. However, if the intentions are to develop artificial intelligence, design a prototype or build the backend, then Python is the one. In the end, what matters is the intent So now we see that in fact choosing Python or Swift for coding mostly depends on your purpose. If you are fond of developing mobile applications that will work seamlessly on Apple operating systems, you should definitely choose Swift. Python is good in case you want to develop your own artificial intelligence, build the backend or create a prototype. There is no hiding the fact that both Swift and Python are good at what they do. While Python has been a game-changer for years, Swift has been rapidly rising up the ranks. Comparing the two directly is a bit unjust as each one of the two has their own uses. The best person to select the right programming language is you! So be the judge of your decision. Good luck! 
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Xcode vs Swift

Xcode and Swift are two different products developed by Apple for macOS, iOS, iPadOS, watchOS, and tvOS. While Xcode is an integrated development environment (IDE) for macOS containing a suite of software development tools to develop software for macOS, iOS, iPadOS, watchOS, and tvOS, Swift is a general-purpose, multi-paradigm, compiled programming language developed iOS, macOS, watchOS, tvOS, Linux, and z/OS. So it is clear that they can not be compared with each other. On the contrary, Swift is compatible with Xcode as Swift v 5.1, the default version of Swift is included in Xcode v 11. In this article, we will go through what Xcode and Swift are in general and cover their features strengths and weaknesses followed by how Swift is compatible with Xcode. XcodeIt was first released in 2003 as version 1 with the latest stable one being version 10.2.1 released on 17 April 2019. It can be downloaded from the Mac App Store and is free to use for macOS Mojave users. Registered developers may download the preview releases and previous versions of the suite using via the Apple Developer website.  Overview of the major featuresSupport: Programming languages such as C, C++, Objective-C, Objective-C++, Java, AppleScript, Python, Ruby, ResEdit (Rez), and Swift are supported by Xcode with source code along with support for a variety of programming models including Cocoa, Carbo, and Java. Not only that, there is additional support via third parties for GNU Pascal, Free Pascal, Ada, C#, Perl, and D Capability: Xcode can build fat binary files that include the code for various architectures in the Mach-O executable format. Known as universal binary files, these allow the application to run on both PowerPC and Intel-based (x86) platforms including both 32-bit and 64-bit codes Compiling and debugging: Xcode uses the iOS SDK to compile and debug applications for iOS that run on ARM architecture processors GUI tool: Xcode comprises of the GUI tool, Instruments that runs dynamic tracing framework on the top of DTrace, a dynamic tracing framework designed by Sun Microsystems and released as a part of OpenSolaris. Advantages and disadvantages of Xcode: Xcode is designed by Apple and will only work with Apple operating systems: macOS, iOS, iPadOS, watchOS, and tvOS. Since its release in 2003, Xcode has made significant improvements and the latest version, Xcode 10.2.1 has all the features that are needed to perform continuous integration. Let us have a look at the pros of using Xcode: Equipped with a well designed and easy to use UI creator Excellent for code completion Using Xcode, a developer can learn profiling and heap analysis in a natural way Xcode’s simulator lets you easily test your app while you build it in an environment that simulates your iPhone The app store has a wide range of audience who are willing to pay for apps. Now, the cons: Clunky and outdated Objective C makes it more frustrating if you are habituated to use a modern language No support for tabbed work environments makes it difficult to work with multiple windows Hardly any information can be found online to solve problems due to a previous Apple NDA on Xcode development It is a complicated process to export your app onto a device Will only work with Apple operating systems The App Store approval process can be annoyingly lengthy.SwiftSwift was launched at Apple's 2014 Worldwide Developers Conference as a general-purpose, multi-paradigm, compiled programming language for iOS, macOS, watchOS, tvOS, Linux, and z/OS Being a new entry these operating systems, Swift accelerates on the best parts of C and Objective C without being held back by its compatibility. It utilises safe patterns for programming, adding more features to it, thus making programming easier and more flexible. By developing their existing debugger, compiler and framework infrastructure, it took quite some time to create the base for Swift. Furthermore, Automatic Reference Counting was used to simplify the memory management part. The framework stack which was once built upon a solid framework of Cocoa and Foundation has undergone significant changes and is now completely regulated and refurbished. Developers who have worked with Objective-C do find Swift quite similar. Objective-C’s dynamic object model and its comprehensively named parameters provide a lot of control to Swift.  Developers can use Swift to have access to the existing Cocoa framework in addition to the mix and match interoperability with an objective C code. Swift uses this common rule to offer multiple new features in combination with object-oriented and procedural portions of the language. The idea is to create the best possible language for a wide range of uses, varying from desktop and mobile apps, systems programming, and scaling up to cloud services. The designing of Swift was done to make sure that developers find it easy to maintain and write correct programs. Coding done in Xcode is safe, fast and expressive. Swift offers a host of features that give developers the control needed to make the code easy to read and write. Furthermore, Apple made Swift to be easily understandable to help developers avoid making mistakes while coding and make the code look organised, along with the modules that give namespaces and eliminate headers. Since Swift uses some features present in other languages, one of them being named parameters written with clean syntax that makes the APIs much easier to maintain and read. Here are some of the additional features of Swift: Multiple return values and Tuples Generics Short and quick iterations over a collection or range Structs that support extensions, methods and protocols Functional programming patterns Advanced control flow Powerful error handling. These features are systematically designed to make them work together resulting in creating a powerful but fun-to-use language. Advantages and disadvantages of Swift: Pros of using the Swift Programming language: Easy to read and maintain: The Swift program codes are based on natural English as it has borrowed syntaxes from other programming languages. This makes the language more expressive Scalable: Users can add more features to Swift, making it a scalable programming language. In the future, Swift is what Apple is relying on and not Objective C Concise: Swift does not include long lines of code and that favours the developers who want a concise syntax, thus increasing the development and testing rate of the program Safety and improved performance: It is almost 40% better than the Objective-C when speed and performance are taken into consideration as it is easy to tackle the bugs which lead to safer programming Cross-device support: This language is capable of handling a wide range of Apple platforms such as iOS, iOS X, macOS, tvOS, and watchOS. Automatic Memory Management: This feature present in Swift prevents memory leaks and helps in optimizing the application’s performance that is done by using Automatic Reference Counting. Cons of Swift: Compatibility issues: The updated versions Swift is found to a bit unstable with the newer versions of Apple leading to a few issues. Switching to a newer version of Swift is the fix but that is costly Speed Issues: This is relevant to the earlier versions of the Swift programming language Less in number: The number of Swift developers is limited as Swift is a new programming language Delay in uploading apps: Developers will be facing delays over their apps written in Swift to be uploaded to the App Store only after iOS 8 and Xcode 6 are released. The estimated time for release is reported to be September-October, 2014. Conclusion So as we discussed both Xcode and Swift, it is clear that they cannot be compared to each other. In fact, they both complement each other to deliver impressive results without any headaches. Apple relies on both quite a lot and it is certain to have Swift and Xcode the perfect combination of a robust application and a user-friendly programming language.
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Scala Vs Kotlin

Ever-changing requirements in coding have always been happening, ones that cause programmers to change their minds about using the appropriate programming language and tools to code. Java has been there for a long time, a really long time, 24 years ago. It is relatively easy to use, write, compile, debug, and learn than other programming languages. However, its certain inhibitions like slow performance, unavailability of any support for low-level programming, possessing poor features in GUI 4, and having no control over garbage collection is putting Java developers in a dilemma on choosing an alternative to Java, such as JetBrains’ programming language, Kotlin, presently an officially supported language for Android development or Scala, an all-purpose programming language supporting functional programming and a strong static type system. Today, we will discuss how developers can decide to choose Scala or Kotlin as an alternative to Java. We will briefly talk about Scala and Kotlin separately and talk about their application before moving forward to looking at the differences, advantages, and disadvantages of both and finally have you decide which one of these two suits your requirements. User’s requirement Before we begin, here is a question for the readers, ‘What are you looking for in the next programming language that you will use?’ It is an obvious question because the programming purposes drive the actual basis and need of developing a language. Do you need a language that strives to better Java or use a language that lets you do things that aren’t possible in Java? If it is the first reason, then Scala might be the best one for you, otherwise, it is a simplified programming language like Kotlin. Now let us first briefly discuss Scala and Kotlin individually. ScalaDeveloped by Martin Odersky, the first version of Scala was launched in the year 2003 and is a classic example of a  general-purpose, object-oriented computer language, offering a wide range of functional programming language features and a strong static type system. Inspired from Java itself, Scala, as the name suggests, is highly scalable and this very feature sets Scala apart from other programming languages. When we say that Scala is inspired from Java, that means developers can code Scala in the same way they do for Java. Additionally, Scala makes it possible to use numerous Java and libraries within itself as well. It is designed to be able to use an elegant, concise and type-safe method to express common programming patterns. Scala is a very popular programming language amongst developers and rising up its ranks in the world of technology. Although Scala comes with a number of plus points, there are some which make it a bit ineffective. Here are the strengths and weaknesses of Scala. Strengths: Full Support for Pattern Matching, Macros, and Higher-Kinded Types Has a very flexible code syntax Gets a bigger Community Support Enables overloading operators Weaknesses: Slow in compilation Challenging Binary Compilation Not so proficient in the Management of Null SafetyKotlin Developed by JetBrains, Kotlin was released on February 2012 as an open-source language. Until now, there have been two released versions with the latest one being Kotlin 1.2, the most stable version that was released on November 28, 2017. Since Kotlin is extremely compatible with Java 6 the latest version of Java on Android, it has gained critical acclaim on Android worldwide and additionally, it offers various key features that are prepared only for Java 8 and not even Java 6 developers have access to that. Kotlin provides seamless and flawless interoperability with Java. That means, developers can easily call Java codes from Kotlin and same goes the other way around. The built-in null safety feature avoids showing the NullPointerException (NPE) that makes developing android apps easy and joyful, something every android programmer wants. Below mentioned are the key pointers on the strengths and weaknesses of Kotlin. Strengths Takes a Functional Programming Approach and Object-Oriented Programming style(OOP) Style  Has Higher-Order Functions Short, Neat, and Verbose-Free Expression  Supported by JetBrains and Google. Weaknesses: More limited Pattern Matching Additional Runtime Size Initial Readability of Code Shortage of Official Support Smaller Support Community. Ease of learning: Scala vs Kotlin Scala is a powerful programming language packed with superior features and possesses a flexible syntax. It is not an easy language to learn and is a nightmare for newcomers. Kotlin, on the other hand, has been reported to have been an easy-to-learn language for many Java developers as getting started with Kotlin is relatively easy and so is writing codes. Even though it is a comparatively easier language to learn and code with, Kotlin lacks the solid set of features that is common in Scala. It might take less time to learn a programming language, but the most important thing to look for is a comprehensive array of features. Scala, even though a very difficult language to learn, is cherished by the developers as it lets them do things that cannot be done in Kotlin Here are the major differences between Scala and Kotlin: ScalaKotlinType inferenceEfficientImmutabilityExtension FunctionsSingleton objectMassive InteroperabilityConcurrency controlLessens Crashes at RuntimeString interpolationSmart Cast FunctionHigher-order functionSafe and ReliableCase classes and Pattern matching Lazy computationLow adoption costRich collection setMaking the appropriate choice of languageNow, whether you may like a programming language or not, if that very language helps you get the best out of your job, then you will have to live with it. These are the facts about getting the best results. The outcome is the main factor in you deciding the appropriate language for your job. Kotlin is the only option for Android development as Android doesn’t use JVM, so any old JVM-compatible language will not work in Android. Kotlin has it all what it takes to compile, debug, and run the software on Android because of which it is in-built into Android Studio. However, Kotlin is not so usable outside Android development. If you are one of the developers who like working with Eclipse for your IDE, then Scala IDE is better than the Kotlin Plugin even if you can make Eclipse work with both the languages with limitations. Scala IDE is more advanced than the Kotlin plugin and is easier to set up. Some developers found it quite difficult to make the Kotlin plugin work. This case is quite the same with NetBeans. Kotlin is still getting there but is already popular amongst Java developers as it offers an easier transition than Scala. Kotlin is still maturing, but many Java people find adopting it is an easier transition than Scala is.  Scala, however, is for developers who are focused more on discovering new ideas while Kotlin is for those who want to get results. Kotlin stresses fast compilation but is more restrictive while Scala gives a lot of flexibility. Go for Scala if you breathe functional programming! It has more appropriate features for this type of programming than Kotlin does. Scala supports currying and partial application, the methods of breaking down functions requiring multiple arguments offering more flexibility. Go for the one that is the most appropriate one for your work, style of working and what you are aiming at. Think before you leap. The Outcome At the end of the day, all that matters is what you want to use the language for. While Scala goes well for the projects that require a combination of functional, OOP style programming languages, and where programmers need to handle lots of data or complex modelling, Kotlin becomes the best choice when you want something less frustrating than Java while developing apps because using Kotlin makes app development less cumbersome and a great thing to work on. It is just like a better-looking version of Java with less lengthy codes. 
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Top 5 Automation Testing Tools used in Software Industry

Automation Testing is a buzz word in the Software Industry. The trend is to automate every repetitive and similar kind of work. Time has gone when testing software used to take a lot of time and resources.  As Agile methodologies globally opted for Software development, Automation testing plays a vital role to deliver products within time without compromising quality.To perform automation testing, we have so many Automation tools available in the market. Automation tools help you to do most of the automation testing effectively and efficiently. In this blog post, we will see the topmost 5 Automation testing tools used in the software industry. They are:SeleniumRanorexSilk TestTestCompleteQTP (UFT)Let’s see each of them in detail:SeleniumSelenium is a set of tools to automate web applications across different browsers and platforms. Selenium WebDriver is a mostly used tool currently. Selenium WebDriver can be used with multiple language bindings to create robust, browser-based regression automation suites and tests. It can not be used for Desktop based applications. It is a free set of tools to automate web browser or web-based applications.It consists of Selenium IDE, Selenium RC, Selenium WebDriver and Selenium GRIDSelenium IDE provides Record and Play GUI tests only for Web-based applications on Chrome and Firefox browsers only.WebDriver based tool called Appium can be used for mobile applications.Supports cross-browser testing.Supports major operating systems:- Windows, Linux, and Mac.Can use Selenium API with programming languages like Java, C#, Ruby, Python, Perl PHP , Javascript, R, etc.Supports IE, Firefox, Chrome, Safari, Opera, Headless browsersSelenium IDE provides Record and Play GUI tests only for Web-based application on Chrome and Firefox browsers onlyEasy integration with various reporting toolsSupport integration with CICDRanorexRanorex is a set of paid and free tools to build sophisticated tests for desktop, web, and mobile applications. They provide three tools:-Ranorex Studio:It is an IDE based set of tools that provides codeless automation.It provides End-to-end testing of desktop, web and mobile applications in a single license.We can automate tests on a Windows desktop, and then execute them locally or remotely, on real iOS or Android mobile devices or simulators/emulators. It supports the parallel running of tests.It has built-in Selenium WebDriver.Supports Cross-browser testingRanorex Webtestit:A lightweight IDE optimized for building UI web tests with Selenium or ProtractorIt generates native Selenium and Protractor code in Java and Typescript respectively.Follows Page Object Model design pattern.Supports Cross-browser testing on platforms like Windows, macOS, Linux, and Android mobile devices. Built-in reporting.Easy integration with JIRA and TestRailSupports a headless browser. We can distribute tests on Selenium grid and cloud-based providers like Saucelabs.Easy setup of tests framework.Downloads browser drivers automatically.Ranorex Selocity:-It is a free Chrome browser extension to generate Selenium CSS selectors as well as XPath selectorsIt generates smart selector by ignoring dynamically generated IDs.Auto-detects the selector type, highlights it, and then displays the number of matching DOM elements. Silk TestSilk Test is an automation paid tool provided by Micro Focus for web, mobile, rich-client, and Enterprise applications. We can run existing selenium scripts faster using Silk Test. It can be easily integrated with CICD for continuous testing. Suitable for web, mobile, rich-client, and Enterprise applications.Supports both Web and mobile browsersSupports Running and adding new tests to existing Selenium scriptsThe built-in Synchronization mechanism helps you to remove unnecessary wait statements. Supports regression, cross-platform, and localization testing of all mobile application types such as mobile web, native and hybrid applications.It has embedded back end service virtualization to simulate service behavior in order to save time and effort.Supports running tests as performance tests and for synthetic monitoring purposes as well.Easy to integrate with CICD and DockerCustomized graphical reportTestCompleteIt is a paid automation testing tool to create automated functional tests for desktop, web, and mobile applications. This tool is developed by SmartBear software. It uses Artificial Intelligence (AI) which makes it a robust tool.It can be used to create automated functional tests for desktop, web, and mobile applications.It is a Windows-based tool. TestComplete is essentially Windows-based application and thus cannot run on Linux/Unix systems. It also has native support for Behavioral Driven Development (BDD). This tool is said to be very easy to use with Artificial Intelligence (AI).Its object recognition combines property-based and AI-powered visual recognition to find dynamic UI elements quickly, easily, and accurately. It makes fast and easy to create, maintain, and execute functional tests which will increase test coverage and ensure you ship high-quality, battle-tested software. It has an unmatched hybrid object recognition engine with artificial intelligence. It is also called a Script or Scriptless tool. The reason behind this is that if you want to script, you can use as of now seven different languages (JavaScript, Python, VBScript, Jscript, DelphiScript, C#, and C+). If you do not want to script, you can use a record and play feature of it.   It is a paid tool by SmartBear. You can bundle options or customize your order. You can see pricing here. It supports seven different languages including JavaScript, Python, VBScript, Jscript, DelphiScript, C#, and C+.You can test web applications developed with any programming language, server-side technology, and frameworks including HTML, DHTML, CSS, JavaScript, HTML5, etc.With TestComplete, you can get real-time information on the progress and status of your desktop, mobile, or web functional GUI tests from a single interface. The tool enables you to share images, videos, or detailed logs that you captured during test execution, or even export your logs in multiple formats such as JUnit, HTML or MHT, to easily share details with other team members.QTP (UFT)UFT is formerly known as QTP. UFT is a paid desktop-based automation tool for web, desktop, mobile, API, hybrid, RPA, and enterprise apps provided by Micro Focus. It is a very old and powerful automation tool. It can be used to automate all three layers of an application. With very less knowledge of programming, you can use this tool easily.It is a paid desktop-based Intelligent test automation tool for web, mobile, API, hybrid, RPA, and enterprise apps provided by Micro Focus.UFT provides functional, regression and API test automation for software applications and environments for enterprise quality assurance. We can test all three layers of an application interface, the service layer and the database layer from a single console of UFT as it provides a graphical user interface. We can automation actions performed by an end-user on a web-based or desktop application using UFT. We can simulate user’s actions like clicking on GUI elements of applications, entering keyboard inputs and much more. In fact, UFT can do it much faster than human if scripted efficiently.It supports the VBS (Visual Basic Script) programming language.It supports Chrome, Firefox, Safari, IE, and Edge web browsers.A major disadvantage of UFT is that it supports only Microsoft Windows operating systems. It supports nearly every major software application and environment, including SAP, Oracle, Salesforce, mainframes, embedded frameworks, headless browsers, and much more.We can deploy UFT on provisioned Citrix, AWS, and Azure virtual environments, or run web and mobile tests from Docker containers.You required less knowledge of programming as it offers keyword-driven testing that simplifies test creation and maintenance. Capture flows directly from the application screens and leverage UFT’s robust record/replay capturing technology.It comes with a built-in Object Repository and Provides built-in support for Data-driven Testing by Data tables.Comparison of the above toolsBasisSeleniumQTPTestCompleteRanorexSilk TestSuitable ForWeb, mobile (Appium) applicationsDesktop, web and mobile applicationsDesktop, web and mobile applicationsDesktop, web and mobile applicationsWeb and mobile applicationsCostFreePaidPaidPaidPaidSupported OSWindows, Linux, MacWindowsWindowsWindowsWindowsSupported LanguagesJava, C#, Ruby, Python, Perl PHP, Javascript, RVisual Basic ScriptJavaScript, Python, VBScript, Jscript, DelphiScript, C#, and C+Java, TypeScript4TestFeaturesNeed to integrate other tools for better utilizationAll required tools are inbuiltAll required tools are inbuiltAll required tools are inbuiltAll required tools are inbuiltCICDYesYesYesYesYesProgramming KnowledgeMoreLessLessLessLessCareerMore opportunitiesLessLessLessLessSelecting a ToolThere are many tools available in the market who does a similar kind of things. So it becomes very difficult to select an appropriate tool for your project requirement. You need to select tool based on the below criteria:-Budget of projectROI from AutomationScope and roadmap of the projectResources availableLevel of maintenance and programming skillsIf you do not want any paid tool, then Selenium is the best tool for you. If you want to go for a paid tool, all four tools are good. You can select based on your budget and criteria given above.Selenium and UFT tools are better to learn from career aspects. Selenium is an open-source tool that makes it famous to use for automation across different organisations. Selenium is a widely used automation tool as of now. Since UFT is an old and powerful automation tool, and many organisations have their automation suite in UFT.
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Top 5 Automation Testing Tools used in Software Industry
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Top 5 Automation Testing Tools used in Software In...

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