Liu, Cong, van Dongen, Boudewijn, Assy, Nour & van der Aalst, Wil M.P. (2018). Component interface identification and behavioral model discovery from software execution data. Proceedings – 2018 ACM/IEEE 26th International Conference on Program Comprehension, ICPC 2018 (pp. 97-107). New York: Association for Computing Machinery, Inc

Abstract

Restructuring an object-oriented software system into a component-based one allows for a better understanding of the system and facilitates its future maintenance. A component-based architecture structures a software system in terms of its components and interactions where each component refers to a set of classes. To represent the architectural interaction, each component provides a set of interfaces. Existing interface identification approaches are mostly structure-oriented rather than function-oriented. In this paper, we propose an approach to identify interfaces of a component according to the functional interaction information that is recorded in the software execution data. In addition, we also discover the contract (represented as a behavioral model) for each identified interface by using process mining techniques to help understand how each interface actually works. All proposed approaches have been implemented in the open source process mining toolkit ProM. Using a set of software execution data containing more than 650.000 method calls generated from three software systems, we evaluate our approach against three existing interface identification approaches. The empirical evaluation demonstrates that our approach can discover more functionally consistent interfaces which facilitate the reconstruction of architectural models with higher quality.