NDLI: MIMANSA : process mining software repositories from student projects in an undergraduate software engineering course

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MIMANSA : process mining software repositories from student projects in an undergraduate software engineering course

Content Provider	Indraprastha Institute of Information Technology, Delhi
Author	Mittal, Megha
Abstract	An undergraduate level Software Engineering course generally consists of a team-based semester long project and emphasizes on both technical and managerial skills. Software Engineering is a practice-oriented and applied discipline and hence there is an emphasis on hands-on de- velopment, process, usage of tools in addition to theory and basic concepts. We present an approach for mining the process data (process mining) from software repositories archiving data generated as a result of constructing software by student teams in an educational setting. We present an application of mining three software repositories: team wiki (used during require- ment engineering), version control system (development and maintenance) and issue tracking system (corrective and adaptive maintenance) in the context of an undergraduate Software En- gineering course. We propose visualizations, metrics and algorithms to provide an insight into practices and procedures followed during various phases of a software development life-cycle. The proposed visualizations and metrics (learning analytics) provide a multi-faceted view to the instructor serving as a feedback tool on development process and quality by students. We mine the event logs produced by software repositories and derive insights such as degree of individual contributions in a team, quality of commit messages, intensity and consistency of commit activi- ties, bug xing process trend and quality, component and developer entropy, process compliance and veri cation. We present our empirical analysis on a software repository dataset consisting of 19 teams of 5 members each and discuss challenges, limitations and recommendations.
File Format	PDF
Language	English
Access Restriction	Open
Subject Keyword	Mining Software Repositories Process Mining Education Data Mining Learning Analytic Software Engineering Education
Content Type	Text
Educational Degree	Master of Technology (M.Tech.)
Resource Type	Thesis
Subject	Data processing & computer science

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