NDLI: Testing variability-intensive systems using automated analysis: an application to Android

Content Provider	Springer Nature Link
Author	Galindo, José A. Turner, Hamilton Benavides, David White, Jules
Copyright Year	2014
Abstract	Software product lines are used to develop a set of software products that, while being different, share a common set of features. Feature models are used as a compact representation of all the products (e.g., possible configurations) of the product line. The number of products that a feature model encodes may grow exponentially with the number of features. This increases the cost of testing the products within a product line. Some proposals deal with this problem by reducing the testing space using different techniques. However, a daunting challenge is to explore how the cost and value of test cases can be modeled and optimized in order to have lower-cost testing processes. In this paper, we present TESting vAriAbiLity Intensive Systems (TESALIA), an approach that uses automated analysis of feature models to optimize the testing of variability-intensive systems. We model test value and cost as feature attributes, and then we use a constraint satisfaction solver to prune, prioritize and package product line tests complementing prior work in the software product line testing literature. A prototype implementation of TESALIA is used for validation in an Android example showing the benefits of maximizing the mobile market share (the value function) while meeting a budgetary constraint.
Starting Page	365
Ending Page	405
Page Count	41
File Format	PDF
ISSN	09639314
Journal	Software Quality Journal
Volume Number	24
Issue Number	2
e-ISSN	15731367
Language	English
Publisher	Springer US
Publisher Date	2014-11-12
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Testing Software product lines Automated analysis Feature models Android Software Engineering/Programming and Operating Systems Programming Languages, Compilers, Interpreters Data Structures, Cryptology and Information Theory Operating Systems
Content Type	Text
Resource Type	Article
Subject	Safety, Risk, Reliability and Quality Media Technology Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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