Title :
Scenario-driven dynamic analysis for comprehending large software systems
Author :
Salah, Maher ; Mancoridis, Spiros ; Antoniol, Giuliano ; Di Penta, Massimiliano
Author_Institution :
Dept. of Comput. Sci., Drexel Univ., Philadelphia, PA
Abstract :
Understanding large software systems is simplified when a combination of techniques for static and dynamic analysis is employed. Effective dynamic analysis requires that execution traces be generated by executing scenarios that are representative of the system´s typical usage. This paper presents an approach that uses dynamic analysis to extract views of a software system at different levels, namely (1) use cases views, (2) module interaction views, and (3) class interaction views. The proposed views can be used to help maintainers locate features to be changed. The proposed approach is evaluated against a large software system, the Mozilla Web browser
Keywords :
reverse engineering; software maintenance; system monitoring; Mozilla Web browser; class interaction views; large software system comprehension; module interaction views; scenario-driven dynamic analysis; use cases views; Computer science; Costs; Graphical user interfaces; Instruments; Programming; Runtime; Software maintenance; Software performance; Software systems; Yarn;
Conference_Titel :
Software Maintenance and Reengineering, 2006. CSMR 2006. Proceedings of the 10th European Conference on
Conference_Location :
Bari
Print_ISBN :
0-7695-2536-9
DOI :
10.1109/CSMR.2006.47
