Evolution Style Mining in Software Architecture

Kadidiatou Djibo, Mourad Oussalah, Jacqueline Konate

Abstract

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.

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Paper Citation


in Harvard Style

Djibo K., Oussalah M. and Konate J. (2020). Evolution Style Mining in Software Architecture.In Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-421-3, pages 313-322. DOI: 10.5220/0009349203130322


in Bibtex Style

@conference{enase20,
author={Kadidiatou Djibo and Mourad Oussalah and Jacqueline Konate},
title={Evolution Style Mining in Software Architecture},
booktitle={Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2020},
pages={313-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009349203130322},
isbn={978-989-758-421-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Evolution Style Mining in Software Architecture
SN - 978-989-758-421-3
AU - Djibo K.
AU - Oussalah M.
AU - Konate J.
PY - 2020
SP - 313
EP - 322
DO - 10.5220/0009349203130322