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
Link To Document :
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