DocumentCode :
1862143
Title :
Who solved the optimal software release problems based on Markovian software reliability model?
Author :
Rinsaka, K. ; Dohi, T.
Author_Institution :
Dept. of Inf. Eng., Hiroshima Univ., Japan
Volume :
3
fYear :
2004
fDate :
25-28 July 2004
Abstract :
In this paper, we answer the titled question for the typical software release problems based on a Markovian software reliability model. Under the assumption that the software fault-detection process is described by a Markovian birth process with absorption, like Jelinski and Moranda model (1972), we formulate the total expected software costs with two different release policies, and compare them in terms of the cost minimization. Also, we consider the other software cost model taking account of gain in reliability. It can be concluded throughout numerical examples that the existing optimal software release policy underestimates and overestimates the real optimal software release time and its associated cost function, respectively.
Keywords :
Markov processes; minimisation; software cost estimation; software fault tolerance; software reliability; Markovian birth process; Markovian software reliability model; cost minimization; optimal software release problems; software cost model; software fault detection process; Absorption; Cost function; Fault detection; Reliability engineering; Software reliability; Software systems; Software testing; System testing; Time measurement; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2004. MWSCAS '04. The 2004 47th Midwest Symposium on
Print_ISBN :
0-7803-8346-X
Type :
conf
DOI :
10.1109/MWSCAS.2004.1354398
Filename :
1354398
Link To Document :
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