Capturing and analyzing low-level events from the code editor
Proceedings of the 3rd ACM SIGPLAN workshop on Evaluation and usability of programming languages and tools
Proceedings of the 34th International Conference on Software Engineering
Slicing and replaying code change history
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
CoExist: overcoming aversion to change
Proceedings of the 8th symposium on Dynamic languages
Answering software evolution questions: An empirical evaluation
Information and Software Technology
Clustering navigation sequences to create contexts for guiding code navigation
Journal of Systems and Software
Evaluating a query framework for software evolution data
ACM Transactions on Software Engineering and Methodology (TOSEM) - Testing, debugging, and error handling, formal methods, lifecycle concerns, evolution and maintenance
Evolutionary and collaborative software architecture recovery with Softwarenaut
Science of Computer Programming
| Hi-index | 0.00 |
Developers often need to find answers to questions regarding the evolution of a system when working on its code base. While their information needs require data analysis spanning over different repository types, the source code repository has a pivotal role for program comprehension tasks. However, the coarse-grained nature of the data stored by commit-based software configuration management systems often makes it challenging for a developer to search for an answer. We present Replay, an Eclipse plug-in that allows one to explore the change history of a system by capturing the changes at a finer granularity level than commits, and by replaying the past changes chronologically inside the integrated development environment with the source code at hand. We conducted a controlled experiment to empirically assess whether Replay outperforms a baseline (SVN client in Eclipse) on helping developers to answer common questions related to software evolution. The experiment shows that Replay leads to a decrease in completion time with respect to a set of software evolution comprehension tasks.