Search

Adopt TDD for a smooth Scrum experience for your teams

As you might already be aware, TDD stands for Test Driven Development. Adoption of TDD is a key factor for the success of your Scrum teams and in turn for your success as a Scrum Master. I will explain the why and how of TDD and how it helps smoothen Scrum experience in this article. As you might be already doing, with Scrum approach, there are no grandiose design sessions/detailed designs done up-front but the focus is getting working pieces of code out and fail fast if there are any issues. The key reason being – designs change as you progress with the development of code and your code should be flexible enough to absorb major or minor changes until towards end of the development. If complete designs are done up-front to the detailed level, code is written assuming the designs are concrete and becomes rigid. This type of code can’t accept changes easily and as every developer is aware, changes to requirements are very common during implementation cycle.  A framework that can help the Scrum teams accept the changes easily, make the changes and quickly assess the effects of these changes can help alleviate these issues. Once the impacts are clear, it doesn’t take too long to get the implementation back to stable state. TDD provides one such framework for Agile development.  TDD (Test Driven Development) Following is the broad outline of adopting TDD during development. I will take developing APIs for a product as an example, which can be easily extended to other use cases. Do a high-level design of the components and APIs you are going to have. Prepare the interfaces against which you can write tests. Adopt a framework like JUnits for writing your test cases. Get the developers up-to-speed on writing these unit tests. For whatever components you are developing APIs, create a skeleton of tests and test cases. Normally, you would write a set of positive and negative test cases. This is the first step even before you write a single piece of implantation code. Make sure majority of the unit test cases are covered in this round of skeletal test cases. Implement the APIs with no code, i.e. now they can be called but will not yet return proper values. For example, they may return nulls where an object is expected. Since implementation of APIs is not yet ready, all of your tests will fail. That’s ok to start with. Now as development of APIs progresses, test cases will start to succeed. At the end of, say, sprint #1, you may have 20% of your test cases working. In parallel, add more or update your test cases to handle more complex usages of the APIs. The goal is to get 100% success rate of test cases, which should happen as the development is completed and more code is added. For example, this is how your tests may look to begin with:     @Test     public void testSingleObjectCreate() throws Exception     {       Object a = createObject(...);         Assert.assertNotNull(a);     }     @Test     public void testMultipleObjectsCreate() throws Exception     {       Object [] objs = createObjects(...);         Assert.assertNotNull(objs);     }     @Test     public void testSingleObjectReplace() throws Exception     {       Object replacedA = replaceObject(a);         Assert.assertNotNull(replacedA);     }     @Test     public void testMultipleObjectsReplace() throws Exception     {       Object[] updatedObjs = replaceObject(objs);         Assert.assertNotNull(updatedObjs);     }          @Test     public void testSingleObjectDelete() throws Exception     {       boolean deleted = deleteObject(a);         Assert.assertTrue(deleted);     }     Note that all of these tests will fail to begin since APIs are not yet implemented. Your goal is to get all of the tests passing incrementally, by implementing the underlying functionality. Once this set of test suites are built, they can become part of a continuous integration setup and are run as soon as changes are submitted to the source code system, giving an immediate feedback on whether there are test cases failing because of new code that is delivered. Following diagram summarizes this approach:   How does this help your Scrum team? TDD can augment Scrum processes in 3 ways: Ability to absorb changes to code on a continuous basis. Fail fast: Failures happen sooner than later. Reduce technical debt Let me cover details of each of these points. Ability to absorb changes to code on a continuous basis: As a Scrum Master, your job is to make sure that the working code gets produced at the end of each sprint and minimize the technical debt for going forward. At the same time, you want the code to be flexible so that changes can be accepted on a continual basis to improve the existing code or be able to absorb new changes, based on product owner or stakeholder feedback. This is especially important since you don’t get into detailed designs up-front and absorb changes as you progress to make implementation better. Having the suite of unit tests is one of your weapons in the war chest to make this happen – after all, code which is delivered at the end of release but doesn’t address the key requirements is of not of much use. Take this case – in the midst of development, one of the developers changes the inner workings of one of the APIs and now it fails for a given set of inputs (which used to work before the change). Now your unit test which depended on the success status of API starts to fail, giving you an immediate indication of the change. However, developer can take the risk of the change, knowing that the test framework will catch any side effects of such a change. As a second case, say half-way through the development cycle, there is a need for major change that impacts majority of the components. Unless you have a suite of test cases backing you, you just don’t know the impact and how much additional work is possibly required. (Knowing your developers, you know how hard it is to get a proper estimate of additional work!). Instead, now you can depend on your test suites and see how many are failing when the changes are put in place – if there are a large set of test cases failing, you are most likely looking at a larger impact change to the whole sprint and need to re-access the scope and priorities. Additionally, it makes everybody in the team aware of the impacts.  Fail fast - Failures happen sooner than later: Adopting TDD facilitates one of the key principles of Scrum – fail fast. With TDD, you start with failing tests, make them work as you progress and make sure they won’t fail again due to some unexpected changes. If there are such failures, your TDD set of tests alert you immediately. Knowing there is such a framework, developers will be more open to changes – since failures are caught immediately. Overall, this becomes a mechanism which gives a quick feedback on the impacts of a change and makes developers open for adopting the changes rather than shying away from taking the risk of late changes to the system. Reduce creation of Technical Debt: If developers can’t absorb changes fast enough, you will run out of time during sprint to do further changes. Pushing required changes out of sprint and eventually out of a release leads to the technical debt of future changes and re-work, which is not a desired outcome for any Scrum Master. Having a framework to facilitate quick changes avoids creation of technical debt. Key is to start with TDD from day one One of the key factors is to start with TDD from day 1 – it must not be an afterthought to be added after the code implementation. For any new code, tests should be written first, let them fail and implement code to make the tests work. For a Scrum Master, it is a key that developers are creating tasks to add unit tests for a given user story and have mechanisms in-place to continuously validate the code using build frameworks. Combining TDD with Code coverage can be very powerful TDD approach when used along with code coverage tools provides a very powerful combination to make sure your code base is stable all the time and all parts of the code are being tested. Greater the code coverage, better confidence you have to do drastic changes to your implementation code. For example, the following screenshot of code coverage shows which parts of the code are being exercised (green) versus which are not (in red). More unit tests need to get added to provide coverage for the code paths not being tested. Adopting TDD for existing products TDD can be adopted for existing product code as well, which lacks unit test coverage. It is not usually productive to add tests for existing code unless major changes are planned. Tests can be added to the incremental functionality that is being added, being aware that you may impact the existing code and may not know if you have caused failures in the already existing code. TDD Tools There are several tools that are available in the market, which help in TDD adoption. For unit testing of Java code, JUnit framework is the best choice. For continuous build and test, frameworks like Cruise Control or tools like Jenkins can be used. Code Coverage can be analyzed using tools like Emma and Clover. These have Eclipse plugins available as well. In conclusion, adopting TDD goes a long way in ensuring code quality is maintained in the long run and changes can be done to the codebase ensuring continuously working software. This essentially gives control for your Scrum teams to manage the software better and address the end user needs quickly.
Rated 4.5/5 based on 20 customer reviews

Adopt TDD for a smooth Scrum experience for your teams

7K
Adopt TDD for a smooth Scrum experience for your teams

As you might already be aware, TDD stands for Test Driven Development. Adoption of TDD is a key factor for the success of your Scrum teams and in turn for your success as a Scrum Master. I will explain the why and how of TDD and how it helps smoothen Scrum experience in this article.

As you might be already doing, with Scrum approach, there are no grandiose design sessions/detailed designs done up-front but the focus is getting working pieces of code out and fail fast if there are any issues. The key reason being – designs change as you progress with the development of code and your code should be flexible enough to absorb major or minor changes until towards end of the development. If complete designs are done up-front to the detailed level, code is written assuming the designs are concrete and becomes rigid. This type of code can’t accept changes easily and as every developer is aware, changes to requirements are very common during implementation cycle. 

A framework that can help the Scrum teams accept the changes easily, make the changes and quickly assess the effects of these changes can help alleviate these issues. Once the impacts are clear, it doesn’t take too long to get the implementation back to stable state. TDD provides one such framework for Agile development. 

TDD (Test Driven Development)

Following is the broad outline of adopting TDD during development. I will take developing APIs for a product as an example, which can be easily extended to other use cases.

  • Do a high-level design of the components and APIs you are going to have. Prepare the interfaces against which you can write tests.
  • Adopt a framework like JUnits for writing your test cases. Get the developers up-to-speed on writing these unit tests.
  • For whatever components you are developing APIs, create a skeleton of tests and test cases. Normally, you would write a set of positive and negative test cases. This is the first step even before you write a single piece of implantation code. Make sure majority of the unit test cases are covered in this round of skeletal test cases.
  • Implement the APIs with no code, i.e. now they can be called but will not yet return proper values. For example, they may return nulls where an object is expected.
  • Since implementation of APIs is not yet ready, all of your tests will fail. That’s ok to start with.
  • Now as development of APIs progresses, test cases will start to succeed. At the end of, say, sprint #1, you may have 20% of your test cases working. In parallel, add more or update your test cases to handle more complex usages of the APIs.
  • The goal is to get 100% success rate of test cases, which should happen as the development is completed and more code is added.

For example, this is how your tests may look to begin with:

    @Test
    public void testSingleObjectCreate() throws Exception
    {
      Object a = createObject(...);
        Assert.assertNotNull(a);
    }

    @Test
    public void testMultipleObjectsCreate() throws Exception
    {
      Object [] objs = createObjects(...);
        Assert.assertNotNull(objs);
    }

    @Test
    public void testSingleObjectReplace() throws Exception
    {
      Object replacedA = replaceObject(a);
        Assert.assertNotNull(replacedA);
    }

    @Test
    public void testMultipleObjectsReplace() throws Exception
    {
      Object[] updatedObjs = replaceObject(objs);
        Assert.assertNotNull(updatedObjs);
    }
    
    @Test
    public void testSingleObjectDelete() throws Exception
    {
      boolean deleted = deleteObject(a);
        Assert.assertTrue(deleted);
    }    

Note that all of these tests will fail to begin since APIs are not yet implemented. Your goal is to get all of the tests passing incrementally, by implementing the underlying functionality.

Once this set of test suites are built, they can become part of a continuous integration setup and are run as soon as changes are submitted to the source code system, giving an immediate feedback on whether there are test cases failing because of new code that is delivered.

Following diagram summarizes this approach:


 

How does this help your Scrum team?
TDD can augment Scrum processes in 3 ways:

  • Ability to absorb changes to code on a continuous basis.
  • Fail fast: Failures happen sooner than later.
  • Reduce technical debt

Let me cover details of each of these points.

Ability to absorb changes to code on a continuous basis: As a Scrum Master, your job is to make sure that the working code gets produced at the end of each sprint and minimize the technical debt for going forward. At the same time, you want the code to be flexible so that changes can be accepted on a continual basis to improve the existing code or be able to absorb new changes, based on product owner or stakeholder feedback. This is especially important since you don’t get into detailed designs up-front and absorb changes as you progress to make implementation better. Having the suite of unit tests is one of your weapons in the war chest to make this happen – after all, code which is delivered at the end of release but doesn’t address the key requirements is of not of much use.

Take this case – in the midst of development, one of the developers changes the inner workings of one of the APIs and now it fails for a given set of inputs (which used to work before the change). Now your unit test which depended on the success status of API starts to fail, giving you an immediate indication of the change. However, developer can take the risk of the change, knowing that the test framework will catch any side effects of such a change.

As a second case, say half-way through the development cycle, there is a need for major change that impacts majority of the components. Unless you have a suite of test cases backing you, you just don’t know the impact and how much additional work is possibly required. (Knowing your developers, you know how hard it is to get a proper estimate of additional work!). Instead, now you can depend on your test suites and see how many are failing when the changes are put in place – if there are a large set of test cases failing, you are most likely looking at a larger impact change to the whole sprint and need to re-access the scope and priorities. Additionally, it makes everybody in the team aware of the impacts. 

Fail fast - Failures happen sooner than later: Adopting TDD facilitates one of the key principles of Scrum – fail fast. With TDD, you start with failing tests, make them work as you progress and make sure they won’t fail again due to some unexpected changes. If there are such failures, your TDD set of tests alert you immediately. Knowing there is such a framework, developers will be more open to changes – since failures are caught immediately. Overall, this becomes a mechanism which gives a quick feedback on the impacts of a change and makes developers open for adopting the changes rather than shying away from taking the risk of late changes to the system.

Reduce creation of Technical Debt: If developers can’t absorb changes fast enough, you will run out of time during sprint to do further changes. Pushing required changes out of sprint and eventually out of a release leads to the technical debt of future changes and re-work, which is not a desired outcome for any Scrum Master. Having a framework to facilitate quick changes avoids creation of technical debt.

Key is to start with TDD from day one
One of the key factors is to start with TDD from day 1 – it must not be an afterthought to be added after the code implementation. For any new code, tests should be written first, let them fail and implement code to make the tests work. For a Scrum Master, it is a key that developers are creating tasks to add unit tests for a given user story and have mechanisms in-place to continuously validate the code using build frameworks.

Combining TDD with Code coverage can be very powerful
TDD approach when used along with code coverage tools provides a very powerful combination to make sure your code base is stable all the time and all parts of the code are being tested. Greater the code coverage, better confidence you have to do drastic changes to your implementation code.
For example, the following screenshot of code coverage shows which parts of the code are being exercised (green) versus which are not (in red). More unit tests need to get added to provide coverage for the code paths not being tested.



Adopting TDD for existing products
TDD can be adopted for existing product code as well, which lacks unit test coverage. It is not usually productive to add tests for existing code unless major changes are planned. Tests can be added to the incremental functionality that is being added, being aware that you may impact the existing code and may not know if you have caused failures in the already existing code.

TDD Tools

  • There are several tools that are available in the market, which help in TDD adoption.
  • For unit testing of Java code, JUnit framework is the best choice.
  • For continuous build and test, frameworks like Cruise Control or tools like Jenkins can be used.
  • Code Coverage can be analyzed using tools like Emma and Clover. These have Eclipse plugins available as well.

In conclusion, adopting TDD goes a long way in ensuring code quality is maintained in the long run and changes can be done to the codebase ensuring continuously working software. This essentially gives control for your Scrum teams to manage the software better and address the end user needs quickly.

Mohana

Mohana Kera

Blog Author

Mohana Kera is Senior technical leader with strong hands-on technology experience and in-depth experience in building Scrum teams and doing multiple product releases using Scrum. He has more than 10 years of experience in Agile methodologies and has worked with large cross-geo teams for product deliveries. He has effectively employed Agile(Scrum) method to build cohesive development teams, address efficiency issues and deliver projects on time and effectively, from a startup to multinational corporation, working with small to large teams.
 

Join the Discussion

Your email address will not be published. Required fields are marked *

Suggested Blogs

Top Trends in Agile You Can’t Miss in 2020

Technology is evolving at breakneck speed and the information we consume every day continues to grow exponentially with every passing day. Analysing this complex mountain of data to make the right decisions informed by this data has become ever more challenging.Traditional models of project management like the waterfall method and hierarchical team structures are too rigid to respond to the fast-paced change organizations are facing today. The old ways of a rigidly structured workforce and work rules are not sustainable anymore.In such a rapidly evolving context, Agile is making the headlines everywhere. Companies of all sizes, including the likes of Amazon and Google are embracing the much talked about project management methodology.While Agile is commonly known for management of software projects, its usage has spread to all types of projects and there is a lot of buzz around how organizations, as a whole, should become Agile.Agile is said to be the new way businesses are building their competitive advantage.Top 3 Trends in AgileReduced project costs have always been a primary driver for Agile adoption. According to the 13th Annual State of Agile Report, reduced project costs continue to be the primary reason for Agile adoption.1. DevOps is a higher organizational priority in 2020According to recent research from the DevOps Institute, over 50% of organizations surveyed preferred to hire their DevOps teams from within the firm. Companies who wish to stay ahead of the curve must make drastic improvements in training and improving skills essential to DevOps. We can expect to see an aggressive pursuit of this in 2020.2. Upskilling and cross-skilling will be on the riseThe strained talent market has led to organizations and individuals investing heavily in upskilling and cross-skilling to meet the fast-growing demands for new skills. While IT professionals would need to become more competent across domains, developers would need to add new breadth to their portfolio of skills.3. Value Stream Management has come to the foreValue Stream Mapping helps change the way teams think about the Definition of Done (DoD) from an ‘I-did-my-job' to ‘the-value-is-realized' result. This is an effective way of changing behaviours and getting teams to think about the end-to-end lifecycle of what they’re working on. Teams who adopt Value Stream Management in 2020 will be able to base their next improvement experiments on data-driven decisions and prioritizations.
Rated 4.5/5 based on 2 customer reviews
8024
Top Trends in Agile You Can’t Miss in 2020

Technology is evolving at breakneck speed and the ... Read More

Agile Project Management Vs. Traditional Project Management

In this fast-moving world, project management has become one of the most important pillars that are helping businesses run without any glitch in their processes. Both small and large scale organizations around the world are exploiting technology and depending on project management systems to deliver the software development project successfully. Whether it is team workflow management or timing, these tools help to ensure that everything is going well without any obstacles. While there are tens of different project management approaches, Agile is considered one of the most practical and flexible software development mechanism that exist today. It is capable of executing a variety of tasks, but what sets it apart from others? Let’s find it out. Here’s a brief comparison of Agile management and traditional project management software:                                                                                                                    Traditional vs Agile Project Management Overview of Agile and Traditional Project Management What is Traditional Project Management? The traditional Project Management (waterfall) approach is linear where all the phases of a process occur in sequence. Its concept depends on predictable tools and predictable experience. Each and every project follows the same life cycle which includes the stages such as feasibility, plan, design, build, test, production, support, as shown in the figure above. The entire project is planned upfront without any scope for changing requirements. This approach assumes that time and cost are variables and requirements are fixed. This is the reason why traditional project management faces budget and timeline issues. What is Agile Project Management? When a traditional system focuses on upfront planning where factors like cost, scope, and time are given importance, Agile management gives prominence to teamwork, customer collaboration, and flexibility. It is an iterative approach that focuses more on incorporating customer feedback and continuous releases with every iteration of software development project. The basic concept behind Agile software development is that it delves into evolving changes and collaborative effort to bring out results rather than a predefined process. Adaptive planning is perhaps the biggest feature of Agile and one that makes it a crowd favorite among project managers. Scrum and Kanban are two of the most widely used Agile frameworks. They are very well known for encouraging decision-making and preventing time consumption on variables that are bound to change. It stresses customer satisfaction and uses available teams to fast-track software development at every stage. The table below shows the major differences between Agile project management and traditional project management.                                                                                Table: Agile project management vs traditional project management   Why is Agile Preferred and why not the traditional project management? Agile is preferred by most developers and managers because of a variety of reasons. Let’s have a look at the most common ones: 1. Project complexity Traditional: This method is the best fit for small or less complex projects as it follows linear approach. Sudden changes in the project or any other complexities can block the entire process and make the team go back to step one and start all over again. Agile: This is the best methodology to follow in case of complex projects. A complex project may have various interconnected phases and each stage may be dependent on many others rather than a single one as in simple projects. So, Agile methods are preferred for large complex projects, as they can respond better to such structures. 2. Adaptability Traditional: This approach works with a belief that once a phase is done, it will not be reviewed again. So, it is not adaptable to rapid changes in the work plan. In case if any sudden situation arises or any change in the requirements from the client’s side, traditional approach fails to adapt to the new change. The only choice is to start from the very beginning once again. This wastes a lot of effort and time in the process. Agile: The adaptability factor is very high in this methodology since it is not linear. Complex projects consist of several interconnected stages, where a change in one stage can cause an effect on another. And the project managers can take calculated risks in such scenario, as there is a chance of high adaptability.  3. Scope for feedback and changes Traditional Each and every process is clearly detailed and defined at the start of the project in the traditional approach. It cannot deal with any big change or feedback that might require a change in the process. Mostly, the project delivery time and budget are fixed, allows change very rarely. Agile There is a high acceptance for feedback and change in this method. The process is very flexible and allows constant feedback that can help to provide better output within the fixed project delivery time. The main reason that managers or developers choose agile direction is for the flexibility it offers. Developers working with Agile management are able to respond to customer requests quickly as they are only addressing small parts of the project at a time and the customer validates each iteration or sprint before finalizing.   Some of the important characteristics of Agile development Breaks project into parts Agile divides a project into parts (called iterations) where the release is sent to the customer after every single iteration. Additionally, the success of the project can be easily foreseen through the success of these iterations. This removes the need for upfront planning completely. Self-organized As mentioned above, Agile uses a parallel mode of management. Employees of a company are not managed by a central line of control, but by groups. For example, in Agile, there may be eight teams working on a single project. Each team is managed by itself without external guidance. The teams only interact with each other for project discussion and process linking as they are otherwise not self-sufficient. Generally speaking, an Agile project consists of three parts: The product owner – the expert on the project (for which the product is being developed) and is the main person who oversees the projects The scrum master – this person manages the process involved in Agile. He/she looks after the iterations and its completion The team – individuals who play significant and minor roles in the software development process Customer Engagement In Agile, customer engagement is at the very top. The customer is regarded highly in its frameworks as after every iteration, feedback is generated and acted upon. Overall, Agile is clearly the winner among project management systems. When compared with other traditional approaches, Agile’s features come to the fore and reiterate why it is one of the top software used by companies globally. Can Agile Coexist with Other Approaches? This is a question asked by many project managers, and opinions of experts seem to be divided. While some say it is possible for Agile to coexist with traditional project management systems, they suggest being cautious and using them for different terms. For example, using two different approaches on the same project can be counter-productive and highly explosive. As Agile and most other frameworks are totally contrasting to each other, the projects may go for a toss. On the other hand, some experts believe that it is not possible for Agile and other tools to co-exist because of their contrast. Using them together can cause disorder in the entire company system, making the productivity to go for a toss. Agile vs Traditional- Adoption Growth According to a recent online survey of 601 IT and development professionals, it is proved that Agile is the new typical formula for project success. The majority of projects and development teams are now adopting this methodology, while the traditional waterfall approaches have many flaws.    Traditional organizations vs. #Agile organizations #SALC16 pic.twitter.com/bBgxkQB1fI — Scrum Alliance (@ScrumAlliance) January 20, 2016 Agile was first introduced about 15 years ago as a substitute for traditional software development approaches. Many people considered it as challenging to implement traditional approach practices and Agile adopters stated that this new style of software development improves team collaboration and is more customer-centric.  Though Agile method was present more than a decade ago, the vast majority of organizations have adopted the practice in the last 5 years. Moreover, the survey reported that agile adoption saw an inflection point between the year 2009-2010. As shown in the above figure, agile adoption seems to have slow incremental growth till 2008 and then its growth was accelerated after gaining traction in the market. Reasons for the transition to Agile Most of the organizations who transitioned from traditional to agile project management have listed the following reasons: Improves collaboration between teams- 54% Enhances the quality level of software in organizations- 52% Results in enhanced customer satisfaction- 49% Speeds time to market- 43% Reduces development cost- 42% The Verdict In traditional software development, the customer involves only before the start of the development process. So, there might be a number of mistakes and a large amount of money needs to be spent to rework on them. Since in the Agile software development, the customer involves at each stage, the corrections can be made once the defects are detected. This helps us in saving cost. As we can see, Agile project management is really in-demand for teams. It helps the team to work on the top priority ones at the right time and allows them to walk through the risks much faster than they would with traditional project management tools.
Rated 4.0/5 based on 5 customer reviews
8962
Agile Project Management Vs. Traditional Project M...

In this fast-moving world, project management has ... Read More

Difference Between Agile and Scrum

Agile describes a set of guiding principles that uses iterative approach for software development, while Scrum is a specific set of rules that are to be followed while practicing the Agile software development. Agile Agile management represents various o software-development methodologies that have been influenced by iterative and incremental development, which includes Extreme Programming (XP), Rational Unified Process (RUP), Scrum, and others. Agile process or methods provide an environment where there is constant evolution in requirements and evolution as a result of collaboration between self-organising cross-functional teams. Agile methodologies foster a disciplined project-management approach that encourages a set of best practices, allowing a rapid delivery of high-quality software and enhancing a business approach, which aligns development with the customer needs. The Agile methodologies stand in contrast to the traditional waterfall methodology, where all the requirements are initially analysed and documented before the development begins. While in Agile approach, requirements are like the actual software-development advances within each iteration. This approach provides flexibility in accommodating changes in the requirements and priorities of the business. The Agile development process aligns with the concepts of Agile Manifesto. Also known as Manifesto for Agile Software Development, the Agile Manifesto is a formal declaration of 4 key values and 12 principles supporting an iterative approach to software development. The Agile development methodology enables assessment of project direction throughout the development lifecycle. This is achieved through regular iterations, and when revaluation is done at every iteration, it greatly reduces the development costs and time. Agile helps the companies to build the right product. Benefits of Agile include as follows: Benefits the Customers In the traditional waterfall model, the high-value features are developed and delivered in longer cycles compared to the Agile approach, which enables delivery within short cycles. This enables the vendors to be more responsive to the development requests of the customers. Benefits the Vendors Adopting Agile benefits the vendors by having an improved customer satisfaction and customer retention, leading to more customer contacts through positive references. The Agile allows the vendor’s focus to be on the development effort of high-value features, decrease the overheads, and improve efficiency. Quality With Agile development, there is a regular inspection of the working product, with testing integrated at every iteration, as it develops throughout the lifecycle. This in turn retains the quality of the product and also allows the product owner to make necessary adjustments whenever a quality issue arises. Visibility Agile methodology is a collaborative approach that encourages active user participation throughout the product development. This gives an exceptional and clear visibility of the project’s progress and product development to the stakeholders. Cost Control Agile development process has fixed timescale where the requirements emerge and evolve as the project progresses and the product is developed. This enables a fixed budget. Risk Management In Agile methodology, small incremental releases are made visible to the product owner throughout the development cycle, which helps identify issues at an early stage, and it makes easier to respond to change, if any. Agile development ensures clear visibility, which allows necessary decisions to be taken at the earliest possible opportunity. Scrum Scrum, on the other hand, is a subset of Agile. A Scrum is a simple and flexible Agile methodology for software development. The Scrum is not a technique or a process but a lightweight and simple framework to address complex problems of a project and deliver a high-value product creatively. The major distinguishing attributes of Scrum are as follows: Simplicity The development in Scrum is done in sprints, which are 1, 2, and 3 weeks in length. The Scrum team consists of: Product Owner: The major responsibility of the product owner is to maximize the value of the product and work of the development team. Additional duties include managing the product catalogue. Scrum Master: The development team consists of self-organising professionals who turn the product catalogue into product increment at the end of each sprint. Development Team: The Scrum Masters make sure that the Scrum team is abiding by the Scrum theory and its rules. Flexibility In the traditional waterfall model, when the business and technical requirements are documented and detailed, it results in endless documentation. The Scrum makes use of user stories to describe the functions needed to be developed. A tool called Pivotal Tracker is used to store these user stories in a backlog. If a change needs to be made or a need arises to add to the user stories, in that case the team can adjust as early as the next sprint. This allows the business to change their minds and the development team to be flexible enough to adjust to those changes. The ability to accommodate change is a powerful attribute of the Scrum methodology. Communication and Collaboration In Scrum methodology, the communication between business users takes place on a daily/weekly basis according to the sprint schedule. This close communication and collaboration is a crucial factor, promoting the success of the Scrum methodology. The Scrum team achieves collaboration in following ways: The Product Owner, the Scrum Master, and the development team work closely on a daily basis. Sprint-planning meetings are conducted, which allows the development team to organise its work based on the knowledge gathered from the business priorities. Conducting daily scrum meetings where the development team can account for the work completed, its future prospects, and deal with issues if any. Conducting sprint reviews allows the team members to evaluate their former work by recommending better practices with every sprint. There are more details on Agile & scum differences
Rated 4.0/5 based on 8 customer reviews
2794
Difference Between Agile and Scrum

Agile describes a set of guiding principles that u... Read More

Useful links