On the analysis of evolution of software artefacts and programs

• Authors: Fehmi Jaafar
• Venue: Proceedings of the 34th International Conference on Software Engineering
• Year: 2012

The literature describes several approaches to identify the artefacts of programs that evolve together to reveal the (hidden) dependencies among these artefacts and to infer and describe their evolution trends. We propose the use of biological methods to group artefacts, to detect co-evolution among them, and to construct their phylogenic trees to express their evolution trends. First, we introduced the novel concepts of macro co-changes (MCCs), i.e., of artefacts that co-change within a large time interval and of dephase macro co-changes (DMCCs), i.e., macro co-changes that always happen with the same shifts in time. We developped an approach, Macocha, to identify these new patterns of artefacts co-evolution in large programs. Now, we are analysing the evolution of classes playing roles in design pattern and–or anti-patterns. In parallel to previous work, we are detecting what classes are in macro co-change or in dephase macro co-change with the design motifs. Results trend to show that classes plying roles in design motifs have specifics evolution trends. Finally, we are implementing an approach, Profilo, to achieve the analysis of the evolution of artefacts and versions of large object-oriented programs. Profilo create a phylogenic tree of different versions of program that describes versions evolution and the relation among versions and programs. We will also evaluate the usefulness of our tools using lab and field studies.