Modelling and Planning Evolution Styles in Software Architecture

被引：2
|
作者：
Djibo, Kadidiatou [1 ,2 ]
Oussalah, Mourad Chabane [1 ]
Konate, Jacqueline [2 ]
机构：
[1] UMR CNRS 6004, LS2N, F-44300 Nantes, France
[2] Univ Sci Tech & Technol, FST USTTB, BPE 3206, Bamako, Mali
来源：
MODELLING | 2020年 / 1卷 / 01期
关键词：
software architecture; evolution style; mining; pattern; sequence; process; data mining;
D O I：
10.3390/modelling1010004
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：53 / 76
页数：24
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