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Authors: Noureddine Gasmallah 1 ; Abdelkrim Amirat 2 and Mourad Oussalah 3

Affiliations: 1 University of Annaba, University of Souk-Ahras and University of Nantes, Algeria ; 2 University of Souk-Ahras, Algeria ; 3 University of Nantes, France

Keyword(s): Software Architecture, Software Evolution, Evolution Taxonomy, Quality Criteria.

Related Ontology Subjects/Areas/Topics: Service-Oriented Software Engineering and Management ; Software Change and Configuration Management ; Software Engineering

Abstract: Nowadays, architects are facing the challenge of proliferation of stakeholder requirements for preserving and ensuring the effectiveness of the software, by using software evolution as a key solution. Hence, in terms of landscaping evolution space there is a great need to define the thinking on which efforts to deal with this issue have been based. In this paper, we propose a framework for software architecture evolution taxonomy based on four structural dimensions. This framework could both position existing evolution models in the field and highlight gray areas for the future. Mapping over framework dimensions, a set of quality factors and an investigation including 67 studies are performed to assess the proposals. The results contain a number of relevant findings, including the need to improve software architecture evolution by accommodating predictable changes as well as promoting the emergence of operating mechanisms.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Gasmallah, N.; Amirat, A. and Oussalah, M. (2016). Evolution Taxonomy for Software Architecture Evolution. In Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering - ENASE; ISBN 978-989-758-189-2; ISSN 2184-4895, SciTePress, pages 124-131. DOI: 10.5220/0005775701240131

@conference{enase16,
author={Noureddine Gasmallah. and Abdelkrim Amirat. and Mourad Oussalah.},
title={Evolution Taxonomy for Software Architecture Evolution},
booktitle={Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering - ENASE},
year={2016},
pages={124-131},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005775701240131},
isbn={978-989-758-189-2},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering - ENASE
TI - Evolution Taxonomy for Software Architecture Evolution
SN - 978-989-758-189-2
IS - 2184-4895
AU - Gasmallah, N.
AU - Amirat, A.
AU - Oussalah, M.
PY - 2016
SP - 124
EP - 131
DO - 10.5220/0005775701240131
PB - SciTePress