Managing Domain Analysis in Software Product Lines with Decision Tables: An Approach for Decision Representation, Anomaly Detection and Resolution

Nicola Boffoli, Pasquale Ardimento, Alessandro Rana

2023

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.

Paper Citation

in Harvard Style

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 - Volume 1: ENASE, ISBN 978-989-758-647-7, SciTePress, pages 182-192. DOI: 10.5220/0011975700003464

in Bibtex Style

@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 - Volume 1: ENASE,},
year={2023},
pages={182-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011975700003464},
isbn={978-989-758-647-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: 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
AU - Boffoli N.
AU - Ardimento P.
AU - Rana A.
PY - 2023
SP - 182
EP - 192
DO - 10.5220/0011975700003464
PB - SciTePress