DocumentCode :
3193208
Title :
Forecasting time-between-failures of software using fuzzy time series approach
Author :
Yadav, Dilip Kumar ; Chaturvedi, S.K. ; Misra, R.B.
Author_Institution :
Dept. of Comput. Applic., Nat. Inst. of Technol. Jamshedpur, Jamshedpur, India
fYear :
2012
fDate :
6-8 Aug. 2012
Firstpage :
1
Lastpage :
8
Abstract :
The problem with many of the software reliability models is that they cannot deal with the situations where the time-between-failures information during software testing phase is associated with uncertainty due to fuzzy nature of software testing and debugging. Therefore, in this paper, a procedure is proposed to forecast times-between-failures of software during its testing phase by employing fuzzy time series approach, where time-between-failures of software is represented by a fuzzy set having trapezoidal membership function. The forecasting capability of the proposed approach is examined using software failure data of two real software development projects.
Keywords :
forecasting theory; fuzzy set theory; program debugging; program testing; project management; software reliability; system recovery; time series; forecasting capability; fuzzy nature; fuzzy set; fuzzy time series; software debugging; software development project; software failure data; software reliability model; software testing phase; time-between-failures information; trapezoidal membership function; fuzzy logical relation; fuzzy set; fuzzy time series; software reliability; time between failures; trapezoidal membership function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American
Conference_Location :
Berkeley, CA
ISSN :
pending
Print_ISBN :
978-1-4673-2336-9
Electronic_ISBN :
pending
Type :
conf
DOI :
10.1109/NAFIPS.2012.6291059
Filename :
6291059
Link To Document :
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