Paper Info
Title
Towards a fault-detection benchmark for evaluating software product line testing approaches.
Abstract
Software Product Lines (SPLs) are families of related software systems distinguished by the set of features each one provides. The commonly large number of variants that can be derived from an SPL poses a unique set of challenges, because it is not feasible to test all the individual variants. Over the last few years many approaches for SPL testing have been devised. They usually select a set of variants to test based on some covering criterion. A problem when evaluating these testing approaches is properly comparing them to one another. Even though some benchmarks have been proposed, they focus on covering criteria and do not consider fault data in their analysis. Considering the dire lack of publicly available fault data, in this paper we present the first results of our ongoing project to introduce simulated faults into SPLs along with using evolutionary techniques for synthesizing unit test cases for SPL examples.
Year
DOI
Venue
2018
10.1145/3167132.3167350
SAC 2018: Symposium on Applied Computing Pau France April, 2018
Keywords
Field
DocType
Software Product Lines, Mutation Testing
Data mining,Fault detection and isolation,Computer science,Unit testing,Software system,Software,Software product line
Conference
ISBN
Citations 
PageRank 
978-1-4503-5191-1
1
0.35
References 
Authors
23
3
Name
Order
Citations
PageRank
Stefan Fischer11156.19
Roberto Erick Lopez-Herrejon21638.71
Alexander Egyed32434178.98