NDLI: Repairing GUI Test Suites Using a Genetic Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Si Huang Cohen, M.B. Memon, A.M.
Copyright Year	2010
Abstract	Recent advances in automated functional testing of Graphical User Interfaces (GUIs) rely on deriving graph models that approximate all possible sequences of events that may be executed on the GUI, and then use the graphs to generate test cases (event sequences) that achieve a specified coverage goal. However, because these models are only approximations of the actual event flows, the generated test cases may suffer from problems of infeasibility, i.e., some events may not be available for execution causing the test case to terminate prematurely. In this paper we develop a method to automatically repair GUI test suites, generating new test cases that are feasible. We use a genetic algorithm to evolve new test cases that increase our test suite's coverage while avoiding infeasible sequences. We experiment with this algorithm on a set of synthetic programs containing different types of constraints and for test sequences of varying lengths. Our results suggest that we can generate new test cases to cover most of the feasible coverage and that the genetic algorithm outperforms a random algorithm trying to achieve the same goal in almost all cases.
Starting Page	245
Ending Page	254
File Size	484689
Page Count	10
File Format	PDF
ISBN	9781424464357
e-ISBN	9781424464364
DOI	10.1109/ICST.2010.39
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software testing Computer interfaces GUI Testing Automated Test Case Generation Combinatorial Interaction Testing Educational institutions Logic testing Genetic algorithms Computer science Automatic testing Sampling methods Genetic engineering Genetic Algorithms Graphical user interfaces
Content Type	Text
Resource Type	Article

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