An Interaction Strategy for Testing Software Product Lines using the Bat-inspired Algorithm

Alsariera, Yazan A. and Mazlina, Abdul Majid and Kamal Z., Zamli (2015) An Interaction Strategy for Testing Software Product Lines using the Bat-inspired Algorithm. In: 4th International Conference on Software Engineering & Computer Systems (ICSECS 2015) , 19-21 August 2015 , Kuantan, Pahang. pp. 148-153.. ISBN 978-1-4673-6722-6

	PDF An interaction strategy for testing software product lines using the Bat-inspired algorithm.pdf Restricted to Registered users only Download (1MB) | Request a copy
Preview	PDF SPLBA- An Interaction Strategy for Testing Software Product Lines using the Bat-inspired Algorithm.pdf - Published Version Download (36kB) | Preview

Abstract

Software product lines (SPLs) represent an engineering method for creating a portfolio of similar software systems for a shared set of software product assets. Owing to the significant growth of SPLs, there is a need for systematic approach for ensuring the quality of the resulting product derivatives. Combinatorial t-way testing (where t indicates the interaction strength) has been known to be effective especially when the number of product's features and constraints in the SPLs of interest are huge. In line with the recent emergence of Search based Software Engineering (SBSE), this article presents a novel strategy for SPLs tests reduction using Bat-inspired algorithm (BA), called SPLBA. Our experience with SPLBA has been promising as the strategy performed well against existing strategies in the literature.

Item Type:	Conference or Workshop Item (Speech)
Uncontrolled Keywords:	software testing; bat algorithm; constrained testing; nature inspired meta-heuristic algorithms
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Faculty of Computer System And Software Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	19 Feb 2016 07:04
Last Modified:	15 Jan 2018 07:28
URI:	http://umpir.ump.edu.my/id/eprint/11896
Download Statistic:	View Download Statistics

Actions (login required)

View Item