Change Impact using Dynamic History Analysis: (Abstract Only)
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- Change Impact using Dynamic History Analysis: (Abstract Only)
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What are the effects of history length and age on mining software change impact?
The goal of Software Change Impact Analysis is to identify artifacts (typically source-code files or individual methods therein) potentially affected by a change. Recently, there has been increased interest in mining software change impact based on ...
Aggregating Association Rules to Improve Change Recommendation
As the complexity of software systems grows, it becomes increasingly difficult for developers to be aware of all the dependencies that exist between artifacts (e.g., files or methods) of a system. Change recommendation has been proposed as a technique ...
Practical guidelines for change recommendation using association rule mining
ASE '16: Proceedings of the 31st IEEE/ACM International Conference on Automated Software EngineeringAssociation rule mining is an unsupervised learning technique that infers relationships among items in a data set. This technique has been successfully used to analyze a system's change history and uncover evolutionary coupling between system artifacts. ...
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- General Chairs:
- Tiffany Barnes,
- Daniel Garcia,
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- Elizabeth K. Hawthorne,
- Manuel A. Pérez-Quiñones
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Association for Computing Machinery
New York, NY, United States
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