Deriving high-level abstractions from legacy software using example-driven clustering
Proceedings of the 2011 Conference of the Center for Advanced Studies on Collaborative Research
Search-based software engineering: Trends, techniques and applications
ACM Computing Surveys (CSUR)
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Maintenance is undoubtedly the most effort-consuming activity in software production whereby the entropy of legacy systems is a major challenge. Migration of legacy systems to object-oriented technology is considered by many organizations as a suitable way out, however, the cost and the complexity of the task may dissuade the decision-makers. As a contribution to the automation, complete or partial, of the migration process, our paper presents two algorithms for identifying objects in procedural code, a task which is crucial within the entire process. The suggested algorithms are experimentally evaluated, using the examples of three existing systems.