#code-coverage

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#testing

JavaScript testing #15. Interpreting the code coverage metric

Code coverage measures the percentage of code run with tests.
High code coverage can sometimes mislead about code thoroughness.

PyCoder's Weekly | Issue #642

Using 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 search

Developers can now run Python tests with coverage directly in the editor for improved coding efficiency.

Making Use of Code Coverage

Code 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 metric

Code coverage measures the percentage of code run with tests.
High code coverage can sometimes mislead about code thoroughness.

PyCoder's Weekly | Issue #642

Using 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 search

Developers can now run Python tests with coverage directly in the editor for improved coding efficiency.

Making Use of Code Coverage

Code coverage measures how much of the tested system is run, but it can be misleading if only focusing on percentages.
moretesting
#unit-testing

Experimenting with LLMs for Developer Productivity

An 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 Stryker

Code 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 Productivity

An 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 Stryker

Code 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.
moreunit-testing

Python Test | 218: Balancing test coverage with test costs - Nicole Tietz-Sokolskaya

Balancing 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.

New version of Publish Code Coverage Results task - Azure DevOps Blog

The V2 version of the publish code coverage results task in Azure Pipelines offers support for more formats of code coverage results and programming languages.
Users are encouraged to migrate from the V1 task to the V2 task to take advantage of new features and support for additional code coverage result formats.

Looking beyond code coverage with Amazon CodeWhisperer | Amazon Web Services

Code coverage is a code quality metric that often focuses on meeting a coverage threshold rather than improving code quality.
Using tools like Amazon CodeWhisperer can help generate test cases, including boundary conditions, to improve code quality and productivity.

Coverage at a crossroads

Coverage.py is undergoing changes to reduce execution-time overhead, causing complexity in maintaining coverage accuracy.
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