🔎 Software bug predictor based on machine learning algorithm
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Updated
Dec 2, 2019 - Java
🔎 Software bug predictor based on machine learning algorithm
Project for Software Engineering 2 exam that uses Weka to perform evaluations via cross-validation on CSV datasets containing information about bugs raised in software project commits.
Project for the Software Engineering 2 exam that extracts static and on-commit metrics from Git repositories, integrating them with JIRA data, to generate CSV datasets containing information on bugs that emerged in production in the various commits of two software projects.
A machine learning-aided bug prediction framework for Java projects combining static code analysis and evolutionary context modeling.
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