DocumentCode
1954656
Title
Considering the Dependency of Fault Detection and Correction in Software Reliability Modeling
Author
Shu, Yanjun ; Wu, Zhibo ; Liu, Hongwei ; Yang, Xiaozong
Author_Institution
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin
Volume
2
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
672
Lastpage
675
Abstract
Most existing software reliability growth models (SRGMs) focused on the fault detection process, while the fault correction process was ignored by assuming that the detected faults can be removed immediately and perfectly. However, these assumptions are not realistic. The fault correction process is a critical part in software testing. In this paper, we studied the dependency of the fault detection and correction processes in view of the number of faults. The ratio of corrected fault number to detected fault number is used to describe the dependency of the two processes, which appears S-shaped. Therefore, we adopt the logistical function to represent the ratio function. Based on this function, both fault correction and detection processes are modeled. The proposed models are evaluated by a data set of software testing. The experimental results show that the new models fit the data set of fault detection and correction processes very well.
Keywords
program testing; software reliability; fault correction process; fault detection dependency; fault detection process; logistical function; ratio function; software reliability growth models; software reliability modeling; software testing; Computer science; Delay effects; Fault detection; Parameter estimation; Personnel; Predictive models; Software engineering; Software reliability; Software systems; Software testing; fault correction process; fault detection process; software reliability growth models; testing process;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.1325
Filename
4722140
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