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Week 17th of 2022
Research
- Read “Evaluating Features for Machine Learning Detection of Order- and Non-Order-Dependent Flaky Tests” (to appear in ICST 2022).
- The paper describes a framework to run experiments regarding flaky tests for Python projects. Three tools were built for that purpose: the framework, ShowFlakes, and TestInspect.
- Sixteen features were used to classify OD and NOD test cases.
- Test rerun is not enough to detect flaky tests? For OD, indeed, plain reruns maybe not be enough, as they will not pollute the running context. However, if the running configuration is stable, is that a problem?
- Update my personal library of papers on flaky tests (backward snowballing).
- Skimmed through the latest issues of Journal of Computing Sciences in Colleges.
- Read “Teaching data representation using real-world applications” and used it as inspiration to create the concept map on data representation. It was a nice touch that the paper used bit flippers (“Flippy Do“, from Code.org) to teach binary encoding of decimal and fractional numbers, and the Mars 2020 Lander parachute to teach encoding of textual data.