The evolution matrix: recovering software evolution using software visualization techniques
IWPSE '01 Proceedings of the 4th International Workshop on Principles of Software Evolution
Initial recommendations for improving maintenance strategy
Systems engineering for business process change
Visualizing multiple evolution metrics
SoftVis '05 Proceedings of the 2005 ACM symposium on Software visualization
Modeling history to analyze software evolution: Research Articles
Journal of Software Maintenance and Evolution: Research and Practice
Framework for evolving systems
SEPADS'06 Proceedings of the 5th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems
| Hi-index | 0.00 |
This paper proposes a number of metrics to assess the maintainability of code. Dominance relations are used to express the complexity of call relations and an assumption is made that when more complex relations are present within a source code module it is harder for an application to be maintained. The paper describes a case study whereby the changes in dominance relations are investigated over versions of the software. Based on the changes to the relations, assumptions are made regarding the maintainability of the software. These assumptions are later verified by investigating change documentation and interviewing the maintainers. These results of this study seem to indicate that the dominance relations do reflect some principles of code maintainability.