Résumé
Anas Shatnawi, Hudhaifa Shatnawi, Mohamed Aymen Saied, Zakarea Al
Shara, Houari Sahraoui, and Abdelhak Seriai. 2018. Identifying Software
Components from Object-Oriented APIs Based on Dynamic Analysis. In ICPC18,
2018, Gothenburg, Sweden The reuse at the component level is generally more effective than the one at
the object-oriented class level. This is due to the granularity level where
components expose their functionalities at an abstract level compared to the
fine-grained object-oriented classes. Moreover, components clearly define their
dependencies through their provided and required interfaces in an explicit way
that facilitates the understanding of how to reuse these components. Therefore,
several component identification approaches have been proposed to identify
components based on the analysis object-oriented software applications.
Nevertheless, most of the existing component identification approaches did not
consider co-usage dependencies between API classes to identify classes/methods
that can be reused to implement a specific scenario. In this paper, we propose
an approach to identify reusable software components in object-oriented APIs,
based on the interactions between client applications and the targeted API. As
we are dealing with actual clients using the API, dynamic analysis allows to
better capture the instances of API usage. Approaches using static analysis are
usually limited by the difficulty of handling dynamic features such as
polymorphism and class loading. We evaluate our approach by applying it to
three Java APIs with eight client applications from the DaCapo benchmark.
DaCapo provides a set of pre-defined usage scenarios. The results show that our
component identification approach has a very high precision.