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Communication Dans Un Congrès Année : 2020

Evolution style Mining in software architecture

Résumé

Sequential pattern extraction techniques are applied to the evolution styles of an evolving software architecture in order to plan and predict future evolution paths for the architecture. We present in this paper, a formalism to express the evolution styles in a more practical way. Then, we analyze these collected styles from the formalism introduced by the techniques of sequential patterns extraction to discover the sequential patterns of software architecture evolution. Finaly, from the analysis results, we develop a learning base and prediction rules to predict future evolution paths.

Dates et versions

hal-02477641 , version 1 (13-02-2020)

Identifiants

Citer

Djibo Kadidiatou, Mourad Oussalah, Jacqueline Konate. Evolution style Mining in software architecture. 15th ENASE (Evaluation of Novel Approaches to Software Engineering), springer ed, May 2020, Prague, Slovakia. pp.313-322, ⟨10.5220/0009349203130322⟩. ⟨hal-02477641⟩
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