JavaScript testing #15. Interpreting the code coverage metricCode coverage measures the percentage of code run with tests.High code coverage can sometimes mislead about code thoroughness.
PyCoder's Weekly | Issue #642Using coverage tools to check code execution in tests is crucial for managing 100s of deployments daily and handling errors efficiently.
Visual Studio Code 1.94 improves file searchDevelopers can now run Python tests with coverage directly in the editor for improved coding efficiency.
Making Use of Code CoverageCode coverage measures how much of the tested system is run, but it can be misleading if only focusing on percentages.
JavaScript testing #15. Interpreting the code coverage metricCode coverage measures the percentage of code run with tests.High code coverage can sometimes mislead about code thoroughness.
PyCoder's Weekly | Issue #642Using coverage tools to check code execution in tests is crucial for managing 100s of deployments daily and handling errors efficiently.
Visual Studio Code 1.94 improves file searchDevelopers can now run Python tests with coverage directly in the editor for improved coding efficiency.
Making Use of Code CoverageCode coverage measures how much of the tested system is run, but it can be misleading if only focusing on percentages.
Experimenting with LLMs for Developer ProductivityAn experiment tested LLMs' ability to improve code coverage through unit tests, no-cost tools like ChatGPT were used but required human intervention for success.
Mutation Testing in C#.NET with StrykerCode coverage is important for measuring test thoroughness but may not guarantee test quality.Mutation score is a valuable KPI to assess test effectiveness by measuring how well tests detect and eliminate mutations.
Experimenting with LLMs for Developer ProductivityAn experiment tested LLMs' ability to improve code coverage through unit tests, no-cost tools like ChatGPT were used but required human intervention for success.
Mutation Testing in C#.NET with StrykerCode coverage is important for measuring test thoroughness but may not guarantee test quality.Mutation score is a valuable KPI to assess test effectiveness by measuring how well tests detect and eliminate mutations.
Python Test | 218: Balancing test coverage with test costs - Nicole Tietz-SokolskayaBalancing schedule and testing is crucial in decision-making.Deciding what and how much to test impacts coverage and effectiveness.Refactoring can affect code coverage; focusing on key features is essential for effective testing.
Coverage at a crossroadsCoverage.py is undergoing changes to reduce execution-time overhead, causing complexity in maintaining coverage accuracy.