loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Kadidiatou Djibo 1 ; Mourad Oussalah 2 and Jacqueline Konate 3

Affiliations: 1 LS2N - UMR CNRS 6004, Nantes University, 110 Bd Michelet, Nantes, France, Faculty of Sciences and Techniques, USTTB University, Bamako, Mali ; 2 LS2N - UMR CNRS 6004, Nantes University, 110 Bd Michelet, Nantes, France ; 3 Faculty of Sciences and Techniques, USTTB University, Bamako, Mali

Keyword(s): Software Architecture, Evolution Style, Mining, Pattern, Sequence, Process, Data Mining.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.169.230

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 - ENASE; ISBN 978-989-758-421-3; ISSN 2184-4895, SciTePress, pages 313-322. DOI: 10.5220/0009349203130322

@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 - ENASE},
year={2020},
pages={313-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009349203130322},
isbn={978-989-758-421-3},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Evolution Style Mining in Software Architecture
SN - 978-989-758-421-3
IS - 2184-4895
AU - Djibo, K.
AU - Oussalah, M.
AU - Konate, J.
PY - 2020
SP - 313
EP - 322
DO - 10.5220/0009349203130322
PB - SciTePress