NDLI: A Max-Min Multiobjective Technique to Optimize Model Based Test Suite

Content Provider	IEEE Xplore Digital Library
Author	Farooq, U. Lam, C.P.
Copyright Year	2009
Abstract	Generally, quality software production seeks timely delivery with higher productivity at lower cost. Redundancy in a test suite raises the execution cost and wastes scarce project resources. In model-based testing, the testing process starts with earlier software developmental phases and enables fault detection in earlier phases. The redundancy in the test suites generated from models can be detected earlier as well and removed prior to its execution. The paper presents a novel max-min multiobjective technique incorporated into a test suite optimization framework to find a better trade-off between the intrinsically conflicting goals. For illustration two objectives i.e. coverage and size of a test suite were used however it can be extended to more objectives. The study is associated with model based testing and reports the results of the empirical analysis on four UML based synthetic as well as industrial Activity Diagram models.
Starting Page	569
Ending Page	574
File Size	366837
Page Count	6
File Format	PDF
ISBN	9780769536422
DOI	10.1109/SNPD.2009.33
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-27
Publisher Place	Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software testing Productivity Algorithm design and analysis Costs Model Based Testing Redundancy Unified modeling language Distributed computing Multiobjective Evolutionary Algorithm Automatic testing Fault detection UML Test Suite Optimization Software engineering
Content Type	Text
Resource Type	Article

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