DocumentCode :
3169811
Title :
Feature interaction testing of variability intensive systems
Author :
Patel, Surabhi ; Gupta, Puneet ; Shah, Virali
Author_Institution :
TCS Innovation Labs. - Software Eng., Tata Consultancy Services, Pune, India
fYear :
2013
fDate :
20-20 May 2013
Firstpage :
53
Lastpage :
56
Abstract :
Testing variability intensive systems is a formidable task due to the combinatorial explosion of feature interactions that result from all variations. We developed and validated an approach of combinatorial test generation using Multi-Perspective Feature Models (MPFM). MPFMs are a set of feature models created to achieve Separation of Concerns within the model. This approach improves test coverage of variability. Results from an experiment on a real-life case show that up to 37% of the test effort could be reduced and up to 79% defects from the live system could be detected. We discuss the learning from this experiment and further research potential in testing variability intensive systems.
Keywords :
business data processing; combinatorial mathematics; program testing; MPFM; combinatorial explosion; feature interaction testing; feature interactions; multiperspective feature models; testing variability intensive systems; Analytical models; Manuals; Portals; Software; Solid modeling; Testing; Unified modeling language; combinatorial testing; feature interaction testing; feature models; product line testing; separation of concerns; variability modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Product Line Approaches in Software Engineering (PLEASE), 2013 4th International Workshop on
Conference_Location :
San Francisco, CA
Type :
conf
DOI :
10.1109/PLEASE.2013.6608666
Filename :
6608666
Link To Document :
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