DocumentCode
130808
Title
Methodology on qualitative simulation modeling of software reliability based on chaos theory
Author
Li Qian
Author_Institution
Inst. of Inf. Eng., Anhui Xinhua Univ., Hefei, China
fYear
2014
fDate
27-29 June 2014
Firstpage
99
Lastpage
104
Abstract
The qualitative simulation of software reliability modeling approach based on chaos theory is an improvement to the traditional software reliability modeling, focusing on the introduction of quantitative prediction based on the analysis of qualitative simulation modeling and forecasting. The new proposed approach gives further validation and reasoning to quantitative predictions, digging the inherent laws of building software reliability chaos modeling and improving the feasibility and prediction accuracy of software reliability modeling analysis, which also makes the predictable results be more convincing. The new modeling approach provides new methods and ideas to the software reliability modeling which has broader applicability. This paper carries on qualitative modeling analysis to various factors affecting software reliability, which can be fully applied in the software industry business development practice, to help companies be targeted to cope with the various factors affecting software reliability, helping enterprises to improve their software quality and reasonably predict the software evolution.
Keywords
chaos; software maintenance; software quality; software reliability; chaos theory; qualitative simulation forecasting; qualitative simulation modeling; quantitative predictions; software evolution prediction; software industry business development practice; software quality; software reliability chaos modeling; software reliability modeling approach; Analytical models; Chaos; Data models; Predictive models; Software reliability; Software systems; chaos theory; complex system; modeling; qualitative simulation; software reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location
Beijing
ISSN
2327-0586
Print_ISBN
978-1-4799-3278-8
Type
conf
DOI
10.1109/ICSESS.2014.6933522
Filename
6933522
Link To Document