DocumentCode :
625531
Title :
Test Case Prioritization Using Requirements-Based Clustering
Author :
Arafeen, Md Junaid ; Hyunsook Do
Author_Institution :
Dept. of Comput. Sci., North Dakota State Univ., Fargo, ND, USA
fYear :
2013
fDate :
18-22 March 2013
Firstpage :
312
Lastpage :
321
Abstract :
The importance of using requirements information in the testing phase has been well recognized by the requirements engineering community, but to date, a vast majority of regression testing techniques have primarily relied on software code information. Incorporating requirements information into the current testing practice could help software engineers identify the source of defects more easily, validate the product against requirements, and maintain software products in a holistic way. In this paper, we investigate whether the requirements-based clustering approach that incorporates traditional code analysis information can improve the effectiveness of test case prioritization techniques. To investigate the effectiveness of our approach, we performed an empirical study using two Java programs with multiple versions and requirements documents. Our results indicate that the use of requirements information during the test case prioritization process can be beneficial.
Keywords :
Java; formal specification; pattern clustering; program testing; Java programs; defects source identification; regression testing techniques; requirements documents; requirements engineering; requirements information; requirements-based clustering; software engineers; test case prioritization process; test case prioritization techniques; traditional code analysis information; Complexity theory; Educational institutions; Fault detection; Java; Measurement; Software; Testing; empirical study; regression testing; requirements-based clustering; test case prioritization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Testing, Verification and Validation (ICST), 2013 IEEE Sixth International Conference on
Conference_Location :
Luembourg
Print_ISBN :
978-1-4673-5961-0
Type :
conf
DOI :
10.1109/ICST.2013.12
Filename :
6569743
Link To Document :
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