Open AccessMultiple software product lines to configure applications of internet of things
Author(s) -
Trujillo-Tzanahua Guadalupe-Isaura,
Juárez-Martínez Ulises,
Aguilar-Lasserre Alberto-Alfonso,
Cortés-Verdín María-Karen,
Azzaro-Pantel Catherine
Publication year - 2020
Publication title -
iet software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.305
H-Index - 43
eISSN - 1751-8814
pISSN - 1751-8806
DOI - 10.1049/iet-sen.2019.0032
Subject(s) - reuse , reusability , feature model , computer science , software product line , software , software engineering , domain engineering , feature (linguistics) , distributed computing , systems engineering , software development , component based software engineering , engineering , programming language , linguistics , philosophy , waste management
Software product lines (SPL) emulate the industrial production lines that are capable of generating large volumes of products through reuse schemes and mass production. A multi product line (MPL) aims to reuse of several SPL. Feature models are often used to manage the existing resources of SPLs and define valid products through notations and relationships such as mandatory, optional, and alternative features. The main contribution of this study is a method to manage the variability of multiple SPL and generate a new portfolio of products for Internet of Things (IoT). For this, the problem of developing a universal feature model (FM) for an MPL from merging the FMs of the individual SPLs with a Search‐Based Software Engineering (SBSE) technique is addressed. In addition, the authors propose a multi‐objective optimisation model to maximise the reusability and compatibility between features and minimise the development cost. The model facilitates the design of an MPL‐feature model. Authors’ empirical results show that the proposed model solved by genetic algorithms allows to configure a variety of software products and to determine the scope of the MPL.