By Topic

An Empirical Study of Test Case Filtering Techniques Based on Exercising Information Flows

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Wes Masri ; IEEE Computer Society ; Andy Podgurski ; David Leon

Some software defects trigger failures only when certain local or nonlocal program interactions occur. Such interactions are modeled by the closely related concepts of information flows, program dependences, and program slices. The latter concepts underlie a 78 variety of proposed test data adequacy criteria, and they form a potentially important basis for filtering existing test cases. We report the results of an empirical study of several test case filtering techniques that are based on exercising information flows. Both coverage-based and profile-distribution-based filtering techniques are considered. They are compared to filtering techniques based on exercising simpler program elements, such as basic blocks, branches, function calls, and call pairs, with respect to their effectiveness for revealing defects.

Published in:

IEEE Transactions on Software Engineering  (Volume:33 ,  Issue: 7 )