Giovanni Tangredi
Weighted code coverage: a tool to combine code metrics and code coverage into new metrics.
Rel. Luca Ardito, Maurizio Morisio, Michele Valsesia. Politecnico di Torino, Master of science program in Computer Engineering, 2022
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Abstract
Context: The usage of Software metrics is well consolidated in software development. Code metrics are software metrics that define methods to measure source code properties. Using these measures, programmers can have a picture of the status of a source code, identify potentially problematic parts, and improve the code during its maintenance. Code Coverage metrics are used to measure the percentage of code covered by a test suite. Knowing the coverage value, a developer can improve the code by adding tests to parts of code not covered since these parts may contain bugs or unwanted changes. Code metrics and coverage are the foundations for creating the metrics proposed in this thesis, which aim to combine these two aspects.
Objectives: This thesis has three main objectives
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