When to stop testing?

Free Coding Questions Catalog
Boost your coding skills with our essential coding questions catalog. Take a step towards a better tech career now!

Determining when to stop testing is a critical decision in the software development lifecycle. While testing aims to find and fix defects, it is often impractical to continue testing indefinitely due to time, budget, and resource constraints. Here are some key factors to consider when deciding to stop testing:

1. Meeting Exit Criteria

  • The exit criteria or test completion criteria are pre-defined conditions that need to be met before testing can be considered complete. These are often defined in the test plan and can include:
    • Test coverage: A certain percentage of test cases (e.g., 95%) have been executed.
    • Defect count: The number of critical or high-priority defects has been reduced to an acceptable level.
    • Pass rate: A specific percentage of test cases have passed (e.g., 90% of tests pass).
    • Risk acceptance: Any remaining defects are low-risk and do not significantly impact the core functionality of the system.

2. Test Completion Milestones

  • Testing can stop once the predefined milestones are achieved, such as:
    • All planned test cases have been executed.
    • All critical and high-severity defects have been identified and resolved.
    • Regression testing has been successfully completed after defect fixes.

3. No High-Severity Defects

  • Testing may stop when there are no high-severity or critical defects left unresolved. This means that the product is stable, and any remaining defects are minor and not critical to the system’s functionality.
  • The decision to stop testing can be made once it’s clear that no critical bugs are present that would block a release.

4. Deadlines and Release Dates

  • Sometimes testing is stopped due to project deadlines or release schedules. In Agile environments, this can mean testing stops when the sprint or release cycle ends, regardless of whether all tests have been completed.
  • In such cases, a risk-based approach is used to prioritize the most important tests before the deadline.

5. Diminishing Returns

  • Testing can be stopped when additional tests are no longer uncovering new defects, a concept known as the pesticide paradox. Running the same set of tests repeatedly may not reveal new defects, and the return on investment for further testing becomes minimal.
  • If no new significant defects are found after a set number of test cycles, it might be time to stop testing.

6. Test Coverage

  • Testing can be considered complete if test coverage has reached an acceptable level. This includes:
    • All functional requirements have been tested.
    • Important non-functional requirements (e.g., performance, security) have been validated.
    • All critical user paths have been covered in testing.
  • Although it’s nearly impossible to achieve 100% coverage, stopping testing when the most critical features have been thoroughly tested is reasonable.

7. Risk Assessment

  • After a thorough risk assessment, testing may stop if the remaining risks are acceptable to the business. Risk-based testing prioritizes tests that address the highest risks to the project.
  • If all high-risk areas have been tested, testing can stop even if low-risk areas remain untested.

8. Budget or Resource Constraints

  • Testing may be stopped due to budget or resource limitations. If the costs of continuing testing outweigh the benefits, the project may decide to stop testing even if the process isn’t fully complete.
  • In such cases, the remaining defects and risks should be documented, and the decision to release should be carefully considered.

9. User Acceptance Testing (UAT) Completed

  • If user acceptance testing (UAT) is completed successfully, and end users or stakeholders are satisfied with the software, testing may stop. UAT ensures that the software meets the business needs and is ready for production.

10. Stable Performance

  • Testing may be stopped if the system shows consistent and stable performance during performance testing and meets the required non-functional criteria such as speed, scalability, and reliability.
  • If stress, load, and performance testing indicate the system is ready, this is a good indicator that testing can stop.

Conclusion:

Testing should stop when the exit criteria have been met, defect levels are acceptable, test coverage is sufficient, and the remaining risks are minimal or acceptable. While testing cannot guarantee a completely defect-free product, it should ensure that the product meets quality standards, business requirements, and end-user expectations before release. Balancing the need for thorough testing with deadlines, resources, and risk is key to determining when to stop testing.

TAGS
Coding Interview
CONTRIBUTOR
Design Gurus Team

GET YOUR FREE

Coding Questions Catalog

Design Gurus Newsletter - Latest from our Blog
Boost your coding skills with our essential coding questions catalog.
Take a step towards a better tech career now!
Explore Answers
Coding under resource constraints for realistic interview conditions
Do data engineers need C++?
Is 40 too old for coding bootcamp?
Related Courses
Image
Grokking the Coding Interview: Patterns for Coding Questions
Grokking the Coding Interview Patterns in Java, Python, JS, C++, C#, and Go. The most comprehensive course with 476 Lessons.
Image
Grokking Data Structures & Algorithms for Coding Interviews
Unlock Coding Interview Success: Dive Deep into Data Structures and Algorithms.
Image
Grokking Advanced Coding Patterns for Interviews
Master advanced coding patterns for interviews: Unlock the key to acing MAANG-level coding questions.
Image
One-Stop Portal For Tech Interviews.
Copyright © 2024 Designgurus, Inc. All rights reserved.