Agile Testing Principles
Agile testing principles align with iterative Development Methodology and get started at the beginning of the project. Agile testing is a software testing process that follows the principles of agile software development. It follows a continuous testing process.
The agile model refers to a software development approach based on iterative development and testing throughout the lifecycle. Both development and testing activities go parallel side by side in this methodology.
The project scope, requirements, and tasks are break down at the beginning of the development process and plans regarding the number of iterations, the duration and the scope of each iteration are also defined in advance. The breakdown of the scope into iterations reduces the project risk and overall project delivery time requirements.
Each iteration includes planning, requirements analysis, design, coding, and testing and release.
Agile Testing Principle
The objective of agile development and testing is to achieve high product quality. Testing begins before the development is finished. Test cases are prioritized the same as user stories to get executed iteration wise.
Continuous feedback: Agile team tests continuously to trace the ongoing progress of the product. Continuous feedback is provided about the quality of the product and whether the product satisfies the business needs and requirements, which ultimately would be very supportive to make effective decisions about the product.
Welcoming late requirement: This is one of the main principles of agile testing to welcome the change even in the late phase of the testing. Agile processes harness change for the customer’s competitive advantage. Better collaboration is needed to assess the change and determine the impact on the cost and risk of the deliverables.
Verification is done by the whole team: In a traditional software development life cycle, only the test team is responsible for the testing of the product but in agile testing, the developers and the business analysts also participate in product verification. This ensures better quality and coverage of the test.
Decrease time of feedback response: The business team is involved in each iteration in agile testing & continuous feedback shortens the time of feedback response. At early stage feedback on features is received from customers and stakeholders which improves the usability of the software and on the same side, the use cases are validated.
Simple and clean code: All the defects which are raised by the agile team are fixed mostly within the same iteration which ensures the code is clean and simplified. Constant testing the feature exposes more issues and vulnerabilities which also gets fixed in the same iteration as they are developed.
Less documentation: Agile teams use a reusable checklist, It focusses on meeting the customer needs through testing rather than comprehensive, documented incidental details. Thus, more time is given to perform testing rather than documentation.
Test-Driven: In agile methods, testing is performed at the time of implementation whereas, in the traditional process, the testing is performed after implementation. Also, the unit test is performed from the developer end to ensure the feature implemented meets acceptance criteria.
Guidelines to make the agile testing process effective
To make agile testing effective, it is necessary to follow the below guidelines:
1. Ensure adequate and understood acceptance criteria is applied to features.
2. Include estimates for writing unit tests built off acceptance criteria.
3. Include estimates for writing automation for each delivered story.
4. Include buffer for defects to occur and be corrected within your timebox (this should be included in the sizing of your story).
5. Doing enough to meet the immediate need and take time to build on more later (if customer needs dictate).
6. Everyone is responsible for quality. Quality is not a “phase” or a single person/title, it is a collective and shared activity that any person on the team can undertake to meet the predictability commitments.