Print Email Facebook Twitter Studying Fine-Grained Co-Evolution Patterns of Production and Test Code Title Studying Fine-Grained Co-Evolution Patterns of Production and Test Code Author Marsavina, C. Contributor Zaidman, A. (mentor) Romano, D. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Software Engineering Programme Software Technology Date 2014-08-26 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. Subject fine-grainedco-evolutionco-evolution patternsproduction and test code To reference this document use: http://resolver.tudelft.nl/uuid:c2a06ef1-f000-427f-b8f8-d7cba2c4d9a4 Part of collection Student theses Document type master thesis Rights (c) 2014 Marsavina, C. Files PDF cmarsavinaThesis.pdf 1.19 MB Close viewer /islandora/object/uuid:c2a06ef1-f000-427f-b8f8-d7cba2c4d9a4/datastream/OBJ/view