Title :
SRATS: Software reliability assessment tool on spreadsheet (Experience report)
Author :
Okamura, Hiroyuki ; Dohi, Tadashi
Author_Institution :
Dept. of Inf. Eng., Hiroshima Univ., Higashi-Hiroshima, Japan
Abstract :
This paper presents a software reliability assessment tool which is built as a Microsoft Excel AddIn. The tool handles 11 types of software reliability growth models (SRGMs) and easily provides the maximum likelihood estimates (MLEs) from input data on spreadsheets. The tool consists of two components: the user interface written by Visual Basic for Application (VBA) and the dynamic link library (DLL) written by C language. In the DLL, the state-of-the-art parameter estimation algorithms for SRGMs are implemented, which are developed from the EM (expectation-maximization) algorithm. These algorithms enable us to derive the MLEs for any patterns of data.
Keywords :
C language; Visual BASIC; expectation-maximisation algorithm; maximum likelihood estimation; parameter estimation; software reliability; software tools; spreadsheet programs; user interfaces; C language; DLL; EM algorithm; MLE; Microsoft Excel AddIn; SRATS; SRGM; VBA; Visual Basic for Application; dynamic link library; expectation-maximization algorithm; maximum likelihood estimates; parameter estimation algorithms; software reliability assessment tool; software reliability growth models; spreadsheet; user interface; Computational modeling; Fault detection; Maximum likelihood estimation; Parameter estimation; Software reliability;
Conference_Titel :
Software Reliability Engineering (ISSRE), 2013 IEEE 24th International Symposium on
Conference_Location :
Pasadena, CA
DOI :
10.1109/ISSRE.2013.6698909
