Software Architecture Evaluation: A Systematic Mapping Study

Sofia Ouhbi

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Paper

Software Architecture Evaluation: A Systematic Mapping Study

Topics: Architectural Design and Frameworks

In Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering ENASE - Volume 1, 447-454, 2018 , Funchal, Madeira, Portugal

Author: Sofia Ouhbi

Affiliation: International University of Rabat, Morocco

Keyword(s): Systematic Mapping Study, Software Architecture, Evaluation, Assessment.

Abstract: Software architecture provides the big picture of software systems, hence the need to evaluate its quality before further software engineering work. In this paper, a systematic mapping study was performed to summarize the existing software architecture evaluation approaches in literature and to organize the selected studies according to six classification criteria: research types, empirical types, contribution types, software quality models, quality attributes and software architecture models. Publication channels and trends were also identified. 60 studies were selected from digital libraries.

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Paper citation in several formats:

Ouhbi and S. (2018). Software Architecture Evaluation: A Systematic Mapping Study. In Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-758-300-1; ISSN 2184-4895, SciTePress, pages 447-454. DOI: 10.5220/0006808604470454

@conference{enase18,
author={Sofia Ouhbi},
title={Software Architecture Evaluation: A Systematic Mapping Study},
booktitle={Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2018},
pages={447-454},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006808604470454},
isbn={978-989-758-300-1},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Software Architecture Evaluation: A Systematic Mapping Study
SN - 978-989-758-300-1
IS - 2184-4895
AU - Ouhbi, S.
PY - 2018
SP - 447
EP - 454
DO - 10.5220/0006808604470454
PB - SciTePress