Weighted Multi-Factor Multi-Layer Identification of Potential Causes for Events of Interest in Software Repositories

Abstract

Change labeling is a fundamental challenge in software evolution. Certain kinds of changes can be labeled based on directly measurable characteristics. Labels for other kinds of changes, such as changes causing subsequent fixes, need to be estimated retrospectively. In this article we present a weight-based approach for identifying potential causes for events of interest based on a cause-fix graph supporting multiple factors, such as causing a fix or a refactoring, and multiple layers reflecting different levels of granularity, such as project, file, class, method. We outline different strategies that can be employed to refine the weights distribution across the different layers in order to obtain more specific labelling at finer levels of granularity.
Document Type: 
Articles in Conference Proceedings
Booktitle: 
Proceedings of the Seminar Series on Advanced Techniques & Tools for Software Evolution
Series: 
SATToSE 2015
Month: 
7
Year: 
2015

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