loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Amal Khtira ; Anissa Benlarabi and Bouchra El Asri

Affiliation: Mohammed V University, Morocco

Keyword(s): Natural Language Requirements, Software Product Line, Feature Duplication, Natural Language Processing.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Requirements Engineering ; Symbolic Systems

Abstract: Software product lines are dynamic systems that need to evolve continuously to meet new customer requirements. This evolution impacts both the core platform of the product line and its derived products. For several reasons, the most common way to express requirements by customers is natural language. However, the experience has shown that this communication channel does not give the possibility to detect system defects such as inconsistency and duplication. The objective of this paper is to propose a method to transform textual requirements into the XML format used by some Feature-oriented software development tools, in order to facilitate the detection of features duplication.

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 18.227.0.57

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:
Khtira, A.; Benlarabi, A. and El Asri, B. (2015). Detecting Feature Duplication in Natural Language Specifications when Evolving Software Product Lines. In Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-758-100-7; ISSN 2184-4895, SciTePress, pages 257-262. DOI: 10.5220/0005459802570262

@conference{enase15,
author={Amal Khtira. and Anissa Benlarabi. and Bouchra {El Asri}.},
title={Detecting Feature Duplication in Natural Language Specifications when Evolving Software Product Lines},
booktitle={Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2015},
pages={257-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005459802570262},
isbn={978-989-758-100-7},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Detecting Feature Duplication in Natural Language Specifications when Evolving Software Product Lines
SN - 978-989-758-100-7
IS - 2184-4895
AU - Khtira, A.
AU - Benlarabi, A.
AU - El Asri, B.
PY - 2015
SP - 257
EP - 262
DO - 10.5220/0005459802570262
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic