ConcernLines: A timeline view of co-occurring concerns
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Distributed and Collaborative Software Evolution Analysis with Churrasco
Science of Computer Programming
Achievements and challenges in software reverse engineering
Communications of the ACM
Information and Software Technology
Connectivity of co-changed method groups: a case study on open source systems
CASCON '12 Proceedings of the 2012 Conference of the Center for Advanced Studies on Collaborative Research
Consensus Development Support System for Opinion Convergence by Visualizing Input History
International Journal of Organizational and Collective Intelligence
Proceedings of the 10th Working Conference on Mining Software Repositories
Sales strategy mining system with visualization of action history
HCI'13 Proceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction for learning, culture, collaboration and business - Volume Part III
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The understanding of the structure of a software system can be improved by analyzing the system's evolution during development. Visualizations of software history that provide only static views do not capture the dynamic nature of software evolution. We present a new visualization technique, the Evolution Storyboard, which provides dynamic views of the evolution of a software's structure. An evolution storyboard consists of a sequence of animated panels, which highlight the structural changes in the system; one panel for each considered time period. Using storyboards, engineers can spot good design, signs of structural decay, or the spread of cross cutting concerns in the code. We implemented our concepts in a tool, which automatically extracts software dependency graphs from version control repositories and computes storyboards based on panels for different time periods. For applying our approach in practice, we provide a step by step guide that others can follow along the storyboard visualizations, in order to study the evolution of large systems. We have applied our method to several large open source software systems. In this paper, we demonstrate that our method provides additional information (compared to static views) on the ArgoUML project, an open source UML modeling tool.