Substitutability-Based Version Propagation to Manage the Evolution of Three-Level Component-Based Architectures

Alexandre Le Borgne 1 David Delahaye 2 Marianne Huchard 2 Christelle Urtado 1 Sylvain Vauttier 1
1 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production
2 MAREL - Models And Reuse Engineering, Languages
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : An important issue of software architecture evolution is the capability for architects to keep a trace of the evolution of their work. This paper states that existing research on versioning does not cope well with software architectures. Indeed, it does not propose any adapted solutions to manage the co-evolution of the different architecture representations produced during the development process. We base our work on a three-level architecture description language (ADL) named Dedal, which represents architectures at three abstraction levels. Moreover, Dedal provides a formal base for managing version propagation. It is based on component substitutability that generalizes Liskov's substitutability principle. We propose a set of rules to support the prediction of version compatibility in terms of impact on the different architecture levels.
Keywords : Component-Based Software Engineering Architecture evolution Architecture versioning Component substitutability Version propagation
Type de document :
Communication dans un congrès
Xudong He. SEKE: Software Engineering and Knowledge Engineering, Jul 2017, Pittsburgh, PA, United States. KSI Research Inc. and Knowledge Systems Institute Graduate School, 29th International Conference on Software Engineering and Knowledge Engineering, 2017, pp.18-23, 2017, 〈https://ksiresearchorg.ipage.com/seke/seke17.html〉. 〈10.18293/SEKE2017-118〉
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Alexandre Le Borgne, David Delahaye, Marianne Huchard, Christelle Urtado, Sylvain Vauttier. Substitutability-Based Version Propagation to Manage the Evolution of Three-Level Component-Based Architectures. Xudong He. SEKE: Software Engineering and Knowledge Engineering, Jul 2017, Pittsburgh, PA, United States. KSI Research Inc. and Knowledge Systems Institute Graduate School, 29th International Conference on Software Engineering and Knowledge Engineering, 2017, pp.18-23, 2017, 〈https://ksiresearchorg.ipage.com/seke/seke17.html〉. 〈10.18293/SEKE2017-118〉. 〈lirmm-01580889〉

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