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Authors: Nicola Boffoli ; Pasquale Ardimento and Alessandro Rana

Affiliation: Department of Informatics, University of Bari, Via Orabona 4, Bari, Italy

Keyword(s): Software Product Lines, Product Derivation, Domain Analysis, Decision Tables, Verification, Validation.

Abstract: This paper proposes an approach to managing domain analysis in Software Product Lines (SPLs) using Deci- sion Tables (DTs) that are adapted to the unique characteristics of SPLs. The adapted DTs enable clear and explicit representation of the intricate decisions involved in deriving each software product. Additionally, a method is presented for detecting and resolving anomalies that may disrupt proper product derivation. The effectiveness of the approach is evaluated through a case study, which suggests that it has the potential to significantly reduce development time and costs for SPLs. Future research directions include investigating the integration of SAT solvers or other methods to improve specific cases of scalability and conducting empirical validation to further assess the effectiveness of the proposed approach.

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Paper citation in several formats:
Boffoli, N.; Ardimento, P. and Rana, A. (2023). Managing Domain Analysis in Software Product Lines with Decision Tables: An Approach for Decision Representation, Anomaly Detection and Resolution. In Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-758-647-7; ISSN 2184-4895, SciTePress, pages 182-192. DOI: 10.5220/0011975700003464

@conference{enase23,
author={Nicola Boffoli. and Pasquale Ardimento. and Alessandro Rana.},
title={Managing Domain Analysis in Software Product Lines with Decision Tables: An Approach for Decision Representation, Anomaly Detection and Resolution},
booktitle={Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2023},
pages={182-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011975700003464},
isbn={978-989-758-647-7},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Managing Domain Analysis in Software Product Lines with Decision Tables: An Approach for Decision Representation, Anomaly Detection and Resolution
SN - 978-989-758-647-7
IS - 2184-4895
AU - Boffoli, N.
AU - Ardimento, P.
AU - Rana, A.
PY - 2023
SP - 182
EP - 192
DO - 10.5220/0011975700003464
PB - SciTePress

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