Quantifying the Effectiveness of Testing Efforts on Software Fault Detection with a Logit Software Reliability Growth Model

Author

Okamura, Hiroyuki ; Etani, Yusuke ; Dohi, Tadashi

Author_Institution

Dept. of Inf. Eng. Grad. Sch. of Eng., Hiroshima Univ., Higashi-Hiroshima, Japan

fYear

2011

fDate

3-4 Nov. 2011

Firstpage

62

Lastpage

68

Abstract

Quantifying the effects of software testing metrics such as the number of test runs on the fault detection ability is quite important to design and manage effective software testing. This paper focuses on the regression model which represents the causal relationship between the software testing metrics and the fault detection probability. In a numerical experiment, we perform the quantitative estimation of the causal relationship through the quantization of software testing metrics.

Keywords

probability; program testing; regression analysis; software fault tolerance; software metrics; causal relationship; fault detection probability; logit software reliability growth model; numerical experiment; regression model; software fault detection; software testing metrics; Estimation; Fault detection; Logistics; Measurement; Quantization; Software reliability; Testing; logit model; software reliability growth model; testing metrics;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Measurement, 2011 Joint Conference of the 21st Int'l Workshop on and 6th Int'l Conference on Software Process and Product Measurement (IWSM-MENSURA)

Conference_Location

Nara

Print_ISBN

978-1-4577-1930-1

Type

conf

DOI

10.1109/IWSM-MENSURA.2011.26

Filename

6113045