Modelling and Planning Evolution Styles in Software Architecture

Autor: Jacqueline Konate, Mourad Chabane Oussalah, Kadidiatou Djibo
Přispěvatelé: Laboratoire des Sciences du Numérique de Nantes (LS2N), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), FST-USTTB, University of Science, Techniques and Technology, Bamako
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Modelling—International Open Access Journal of Modelling in Engineering Science
Volume 1
Issue 1
Pages 4-76
Modelling
Modelling, MDPI, 2020, 1 (1)
ISSN: 2673-3951
DOI: 10.3390/modelling1010004
Popis: The purpose of this study is to find the right model to plan and predict future evolution paths of an evolving software architecture based on past evolution data. Thus, in this paper, a model to represent the software architecture evolution process is defined. In order to collect evolution data, a simple formalism allowing to easily express software architecture evolution data is introduced. The sequential pattern extraction technique is applied to the collected evolution styles of an evolving software architecture in order to predict and plan the future evolution paths. A learning and prediction model is defined to generate the software architecture possible future evolution paths. A method for evaluating the generated paths is presented. In addition, we explain and validate our approach through a study on two examples of evolution of component-oriented software architecture.
Databáze: OpenAIRE