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
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;
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
