Studying Fine-Grained Co-Evolution Patterns of Production and Test Code
More Info
expand_more
expand_more
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.
Files
CmarsavinaThesis.pdf
(pdf | 1.19 Mb)