Structural approach to the estimation of the number of residual software faults based on the hyper-geometric distribution

Author

Tohma, Yoshihiro ; Tokunaga, Kenshin ; Nagase, Shinji ; Murata, Yukihisa

Author_Institution

Dept. of Comput. Sci., Tokyo Inst. of Technol., Japan

Volume

15

Issue

3

fYear

1989

fDate

3/1/1989 12:00:00 AM

Firstpage

345

Lastpage

355

Abstract

Models based on the hyper-geometric distribution for estimating the number of residual software faults are proposed. The application of the basic model shows that its fit to real data is good. Two ways of improving the model, using a segmentation technique and composite estimation, respectively, are shown. The segmentation technique appears quite effective, particularly when the growth curve of the cumulative number of detected faults bends sharply. The applications of these models to real data are demonstrated

Keywords

program debugging; programming theory; software reliability; statistical analysis; composite estimation; debugging; growth curve; hyper-geometric distribution; hypergeometric distribution; residual software faults; segmentation technique; software reliability; Application software; Computer applications; Costs; Fault detection; Hardware; Helium; Redundancy; Software debugging; Software testing; Solid modeling;

fLanguage

English

Journal_Title

Software Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0098-5589

Type

jour

DOI

10.1109/32.21762

Filename

21762