Title :
Methodology on qualitative simulation modeling of software reliability based on chaos theory
Author_Institution :
Inst. of Inf. Eng., Anhui Xinhua Univ., Hefei, China
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;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3278-8
DOI :
10.1109/ICSESS.2014.6933522