Estimating the Size of Changes for Evolving Object Oriented Systems: A Case Study
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
Towards a taxonomy of software change: Research Articles
Journal of Software Maintenance and Evolution: Research and Practice - Unanticipated Software Evolution
Supporting Predictive Change Impact Analysis: A Control Call Graph Based Technique
APSEC '05 Proceedings of the 12th Asia-Pacific Software Engineering Conference
Package Fingerprints: A visual summary of package interface usage
Information and Software Technology
Supporting simultaneous versions for software evolution assessment
Science of Computer Programming
| Hi-index | 0.00 |
When reengineering large systems, software developers would like to assess and compare the impact of multiple change scenarios without actually performing these changes. A change can be effected by applying a tool to the source code, or by a manual refactoring. In addition, tools run over a model are costly to redevelop. It raises an interesting challenge for tools implementors: how to support modification of large source code models to enable comparison of multiple versions. One naive approach is to copy the entire model after each modification. However, such an approach is too expensive in memory and execution time. In this paper we explore different implementations that source code metamodels support multiple versions of a system. We propose a solution based on dynamic binding of entities between multiple versions, providing good access performance while minimizing memory consumption.