NDLI: Social coverage for customized test adequacy and selection criteria

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Social coverage for customized test adequacy and selection criteria

Content Provider	ACM Digital Library
Author	Miranda, Breno Bertolino, Antonia
Abstract	Test coverage information can be very useful for guiding testers in enhancing their test suites to exercise possible uncovered entities and in deciding when to stop testing. However, for complex applications that are reused in different contexts and for emerging paradigms (e.g., component-based development, service-oriented architecture, and cloud computing), traditional coverage metrics may no longer provide meaningful information to help testers on these tasks. Various proposals are advocating to leverage information that come from the testing community in a collaborative testing approach. In this work we introduce a coverage metric, the Social Coverage, that customizes coverage information in a given context based on coverage data collected from similar users. To evaluate the potential of our proposed approach, we instantiated the social coverage metric in the context of a real world service oriented application. In this exploratory study, we were able to predict the entities that would be of interest for a given user with an average precision of 97% and average recall of 75%. Our results suggest that, in similar environments, social coverage can provide a better support to testers than traditional coverage. .
Starting Page	22
Ending Page	28
Page Count	7
File Format	PDF
ISBN	9781450328586
DOI	10.1145/2593501.2593505
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-05-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Coverage testing Service-oriented application Relative coverage User similarity
Content Type	Text
Resource Type	Article

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