DocumentCode :
1315879
Title :
Optimal release policy for hyper-geometric distribution software-reliability growth model
Author :
Rong-Huei Bou ; Kuo, Sy-Yen ; Chang, Yi-Ping
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume :
45
Issue :
4
fYear :
1996
fDate :
12/1/1996 12:00:00 AM
Firstpage :
646
Lastpage :
651
Abstract :
The hyper-geometric distribution software-reliability growth model (HGDM) can estimate the number of initial faults in a software program. An important problem in software development is to determine when to stop testing and then release the software. This paper mainly investigates the optimal software release policies which minimize the mean total software cost and satisfy the software-reliability requirement based on the HGDM. The optimal software release times are determined and shown to be finite. A numerical example illustrates these optimal software release policies
Keywords :
program testing; software reliability; hyper-geometric distribution software-reliability growth model; initial faults estimation; mean total software cost; optimal release policy; optimal software release policies; optimal software release times; software development; software program; Constraint optimization; Cost function; Lead; Logistics; Product development; Programming; Software standards; Software systems; Software testing; Solid modeling;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/24.556588
Filename :
556588
Link To Document :
بازگشت