DocumentCode
525612
Title
Fundamentals of test case selection: Diversity, diversity, diversity
Author
Chen, Tsong Yueh
Author_Institution
Centre for Software Anal. & Testing, Swinburne Univ. of Technol., Hawthorn, VIC, Australia
fYear
2010
fDate
23-25 June 2010
Firstpage
723
Lastpage
724
Abstract
Our recent investigations in software testing reveal that diversity constitutes the underlying foundation in many test case selection strategies. This talk attempts to provide an overview of the concept of diversity in test case selection through two families of test case selection strategies, namely, random testing and partition testing. We also present some areas of software testing where the application of data mining techniques shows great potential in identifying key aspects of diversity in various forms.
Keywords
data mining; program testing; data mining techniques; diversity concept; partition testing; random testing; software testing; test case selection strategy; Counting circuits; Data analysis; Decision theory; Entropy; Fuzzy sets; Fuzzy systems; Game theory; Mechatronics; Testing; Uncertainty; Adaptive Random Testing; Partition Testing; Proportional Sampling Strategy; Software Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-7324-3
Electronic_ISBN
978-89-88678-22-0
Type
conf
Filename
5542825
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