Title :
A Note on Static Software Reliability Models by GMDH: Comparison with a Multiple Regression Model
Author :
Kimura, M. ; Shimada, R.
Author_Institution :
Dept. of Ind. & Syst. Eng., Hosei Univ., Koganei, Japan
Abstract :
This paper provides a new approach to estimate the software reliability by the data sets obtained from the upper process of software development. The approach employs the group method of data handling (GMDH) which can be considered as an extension of a multiple regression analysis in this study. We first explain the concept of GMDH approach briefly and then, we discuss how the better model is constructed. By using the actual data sets from the upper process of the real software development, we try to estimate the number of inherent software faults. We compare two proposed models with a traditional multiple regression model in terms of the goodness-of-fit to the data sets.
Keywords :
regression analysis; software fault tolerance; GMDH approach; group method-of-data handling; multiple regression model; software development; software fault; software reliability estimation; static software reliability model; GMDH; Regression analysis; Software project data; Software quality management; Software reliability;
Conference_Titel :
Dependable Transportation Systems/Recent Advances in Software Dependability (WDTS-RASD), 2012 Workshop on
Conference_Location :
Niigata
Print_ISBN :
978-1-4799-0315-3
DOI :
10.1109/WDTS-RASD.2012.15