Abstract
Evolving system architectures can be complex and difficult to understand, leading to problems such as poor maintainability. Automated reverse engineering of system structure models from source code can mitigate these problems and facilitate architectural decisions. However, identifying components with their interfaces can be challenging because components are often implemented in different frameworks and interconnected in complex ways. Our approach aims to create software models using reusable concept descriptions for reverse engineering. We use structural-level mapping rules to reconstruct the static system structure from source code, assuming that the technology used can determine the components with their interfaces and deployment. We evaluate our approach on four public reference systems. The analyses show that technology-specific rules already provide good results, but the addition of project-specific rules further improves reverse engineering.
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References
Bettini, L.: Implementing Domain-specific Languages with Xtext and Xtend. Packt Publishing Ltd., Birmingham (2016)
Bruneliere, H., Cabot, J., Jouault, F., Madiot, F.: MoDisco: a generic and extensible framework for model driven reverse engineering. In: Proceedings of the 25th IEEE/ACM International Conference on Automated Software Engineering (2010)
Cai, Y., Wang, H., Wong, S., Wang, L.: Leveraging design rules to improve software architecture recovery. In: Proceedings of the 9th International ACM Sigsoft Conference on Quality of Software Architectures, QoSA 2013. ACM (2013)
Canfora, G., Di Penta, M.: New frontiers of reverse engineering. In: 2007 Future of Software Engineering, FOSE 2007. IEEE Computer Society (2007)
Canfora, G., Di Penta, M., Cerulo, L.: Achievements and challenges in software reverse engineering. Commun. ACM 54, 142–151 (2011)
Favre, J.M.: Foundations of model (driven) (reverse) engineering. In: Language Engineering for Model-Driven Software Development (2005)
Garcia, J., Ivkovic, I., Medvidovic, N.: A comparative analysis of software architecture recovery techniques. In: ASE 2013 (2013)
Garzón, M.A., Lethbridge, T.C., Aljamaan, H.I., Badreddin, O.: Reverse engineering of object-oriented code into Umple using an incremental and rule-based approach. In: CASCON 2014 (2014)
Kazman, R., Woods, S., Carriere, S.: Requirements for integrating software architecture and reengineering models: CORUM II. In: Proceedings Fifth Working Conference on Reverse Engineering (Cat. No.98TB100261) (1998)
Pautasso, C., Wilde, E.: RESTful web services: principles, patterns, emerging technologies. In: Proceedings of the 19th International Conference on World Wide Web, WWW 2010. ACM (2010)
Raibulet, C., Fontana, F.A., Zanoni, M.: Model-driven reverse engineering approaches: a systematic literature review. IEEE Access 5, 14516–14542 (2017)
Reussner, R.H., Becker, S., Happe, J., Koziolek, A., Koziolek, H.: Modeling and Simulating Software Architectures - The Palladio Approach. MIT Press, Cambridge (2016)
Roy, J., Ramanujan, A.: Understanding web services. IT Prof. 3, 69–73 (2001)
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Kirschner, Y.R., Keim, J., Peter, N., Koziolek, A. (2023). Automated Reverse Engineering of the Technology-Induced Software System Structure. In: Tekinerdogan, B., Trubiani, C., Tibermacine, C., Scandurra, P., Cuesta, C.E. (eds) Software Architecture. ECSA 2023. Lecture Notes in Computer Science, vol 14212. Springer, Cham. https://doi.org/10.1007/978-3-031-42592-9_19
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DOI: https://doi.org/10.1007/978-3-031-42592-9_19
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