DocumentCode
3333216
Title
Usage of Weibull and other models for software faults prediction in AXE
Author
Hribar, Lovre
Author_Institution
Ericsson Nikola Tesla, Split
fYear
2008
fDate
25-27 Sept. 2008
Firstpage
157
Lastpage
162
Abstract
There are several families for software quality prediction techniques in development projects. All of them can be classified in several subfamilies. Each of these techniques has its own distinctive feature and it may not give correct prediction of quality for a scenario different from the one for which the technique was designed. All these techniques for software quality prediction are dispersed. One of them is statistical and probabilistic technique. The paper deals with software quality prediction techniques in development projects. Four different models based on statistical and probabilistic approach is presented and evaluated for prediction of software faults in very large development projects.
Keywords
software fault tolerance; software quality; Weibull; distinctive feature; software faults prediction; software quality prediction; Aerospace industry; Artificial intelligence; Automotive engineering; Costs; Information technology; Predictive models; Software maintenance; Software performance; Software quality; Weibull distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Software, Telecommunications and Computer Networks, 2008. SoftCOM 2008. 16th International Conference on
Conference_Location
Split
Print_ISBN
978-953-6114-97-9
Electronic_ISBN
978-953-290-009-5
Type
conf
DOI
10.1109/SOFTCOM.2008.4669471
Filename
4669471
Link To Document