DocumentCode
3699164
Title
Software reliability growth model with fault detection effort and removing effort modeling separately
Author
Wu Caihua;Ma Jianchao;Wang Xiaowei;Liu Juntao
Author_Institution
Huang Pi NCO School Air Force Early-warning Academy, Wuhan, hubei province, China
fYear
2015
Firstpage
441
Lastpage
444
Abstract
Constructing software reliability growth model (SRGM) is an important method to evaluate software reliability. The common SRGMs usually assume that software faults are removed immediately when are detected. And new faults aren´t introduced. It is not the truth. In this paper, a new SRGM is presented. The correlation of software faults detection process and the removing process are considered, and testing effort is divided into detection effort and removing effort, and modeled separately. Compared with other models, it is showed the presented model has best fitting capability and predicting capability by the fitting and predicting experiments on the two data sets.
Keywords
"Data models","Predictive models","Software","Software reliability","Testing","Mathematical model","Fitting"
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
ISSN
2327-0586
Print_ISBN
978-1-4799-8352-0
Electronic_ISBN
2327-0594
Type
conf
DOI
10.1109/ICSESS.2015.7339092
Filename
7339092
Link To Document