Automated Evaluation vs Manual Testing
Developers should learn and use automated evaluation to ensure code reliability, catch bugs early, and maintain consistent quality in fast-paced development cycles meets developers should learn manual testing to gain a user-centric perspective on software quality, catch edge cases early in development, and perform exploratory testing where automation is impractical. Here's our take.
Automated Evaluation
Developers should learn and use automated evaluation to ensure code reliability, catch bugs early, and maintain consistent quality in fast-paced development cycles
Automated Evaluation
Nice PickDevelopers should learn and use automated evaluation to ensure code reliability, catch bugs early, and maintain consistent quality in fast-paced development cycles
Pros
- +It is essential for implementing continuous integration/continuous deployment (CI/CD) pipelines, validating machine learning models against datasets, and automating regression testing in large codebases
- +Related to: unit-testing, continuous-integration
Cons
- -Specific tradeoffs depend on your use case
Manual Testing
Developers should learn manual testing to gain a user-centric perspective on software quality, catch edge cases early in development, and perform exploratory testing where automation is impractical
Pros
- +It's particularly valuable for usability testing, ad-hoc bug hunting, and validating new features before investing in automation scripts, helping ensure software meets real-world expectations and reducing post-release issues
- +Related to: test-planning, bug-reporting
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Automated Evaluation if: You want it is essential for implementing continuous integration/continuous deployment (ci/cd) pipelines, validating machine learning models against datasets, and automating regression testing in large codebases and can live with specific tradeoffs depend on your use case.
Use Manual Testing if: You prioritize it's particularly valuable for usability testing, ad-hoc bug hunting, and validating new features before investing in automation scripts, helping ensure software meets real-world expectations and reducing post-release issues over what Automated Evaluation offers.
Developers should learn and use automated evaluation to ensure code reliability, catch bugs early, and maintain consistent quality in fast-paced development cycles
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