DocumentCode :
2587484
Title :
Classification of Software Defect Detected by Black-Box Testing: An Empirical Study
Author :
Li, Ning ; Li, Zhanhuai ; Sun, Xiling
Author_Institution :
Sch. of Comput. Sci. & Technol., Northwestern Polytech. Univ., Xi´´an, China
Volume :
2
fYear :
2010
fDate :
19-20 Dec. 2010
Firstpage :
234
Lastpage :
240
Abstract :
Software defects which are detected by black box testing (called black-box defect) are very large due to the wide use of black-box testing, but we could not find a defect classification which is specifically applicable to them in existing defect classifications. In this paper, we present a new defect classification scheme named ODC-BD (Orthogonal Defect Classification for Black-box Defect), and we list the detailed values of every attribute in ODC-BD, especially the 300 detailed black-box defect type. We aim to help black-box defect analyzers and black-box testers improve their analysis and testing efficiency. The classification study is based on 1860 black-box defects collected from 39 industry projects and 2 open source projects. Furthermore, two empirical studies are included to validate the use of our ODC-BD. The results show that our ODC-BD can improve the efficiency of black-box testing and black-box defect analysis.
Keywords :
pattern classification; program testing; software maintenance; ODC-BD; black-box testing; industry project; open source project; orthogonal defect classification; software defect detection; testing efficiency; Data mining; Inspection; Software engineering; Testing; Unified modeling language; Usability; Orthogonal Defect Classification (ODC); black-box testing; defect analysis; defect category; defect classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering (WCSE), 2010 Second World Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9287-9
Type :
conf
DOI :
10.1109/WCSE.2010.28
Filename :
5718384
Link To Document :
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