Title :
Detecting feature duplication in natural language specifications when evolving software product lines
Author :
Amal Khtira;Anissa Benlarabi;Bouchra El Asri
Author_Institution :
IMS Team, SIME Laboratory, ENSIAS, Mohammed V University, Rabat, Morocco
fDate :
4/1/2015 12:00:00 AM
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.
Keywords :
"Natural languages","XML","Feature extraction","Software product lines","Transforms","Software","Context modeling"
Conference_Titel :
Evaluation of Novel Approaches to Software Engineering (ENASE), 2015 International Conference on