Studying Fine-Grained Co-Evolution Patterns of Production and Test Code

Master thesis (2014)

Authors

Contributors

A. Zaidman (mentor)
D. Romano (mentor)
Programme
Software Technology (EEMCS) (TU Delft)
Copyright: © 2014 Marsavina, C.
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Published Date

26-08-2014

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Programme

Software Technology

Abstract

In this thesis we perform a study that, following a mixed methods approach, investigates fine-grained co-evolution patterns of production and test code. First, we mine fine-grained changes from the evolution of 5 open-source systems. Then, we use an association rule mining algorithm to generate the co-evolution patterns. Finally, we interpret the obtained patterns by performing a qualitative analysis. The results show 6 co-evolution patterns and provide insights into their appearance along the history of the analyzed software systems.