DocumentCode
2166684
Title
Hyper-geometric distribution model to estimate the number of residual software faults
Author
Tohma, Yoshihiro ; Jacoby, Raymond ; Murata, Yukihisa ; Yamamoto, Moriki
Author_Institution
Dept. of Comput. Sci., Tokyo Inst. of Technol., Japan
fYear
1989
fDate
20-22 Sep 1989
Firstpage
610
Lastpage
617
Abstract
It is shown that the hyper-geometric distribution model can be applied to different types of test-and-debug data to estimate the number of initial software faults. Examples show that the fitness of the estimated growth curves of the model to real data is satisfactory. The relationship of the model to those proposed earlier is clarified. Some of them can be expressed as a special case of the proposed model. The S-shaped characteristic of the growth curve can also be introduced using this model
Keywords
curve fitting; program testing; software engineering; statistical analysis; S-shaped characteristic; estimate; estimated growth curves; fitness; hyper-geometric distribution model; initial software faults; real data; residual software faults; test-and-debug data; Computer science; Fault detection; Jacobian matrices; Logistics; Programming profession; Software design; Software measurement; Software quality; Software testing; Terminology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference, 1989. COMPSAC 89., Proceedings of the 13th Annual International
Conference_Location
Orlando, FL
Print_ISBN
0-8186-1964-3
Type
conf
DOI
10.1109/CMPSAC.1989.65155
Filename
65155
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