원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.7 No.6
2013.11
pp.111-126
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, we critically analyze the success of the traditional reliability models built to measure and estimate software reliability. We further propose that a Finite State Automata (FSA) based reliability model can serve as a befitting solution to all existing software reliability challenges. The proposed model estimates actual system reliability at runtime. The main advantage of this model is that it allows authentic or real-time reliability estimation, prediction and can also be trained towards dynamic learning of the evolving behavior of software, and fault tolerance.
목차
Abstract
1. Introduction
2. Software Reliability Problems
2.1. Limitations of Reliability Estimation Models
3. Software is a Finite State Machine
3.1. Advantages of Finite State Machine Based Software Representation
3.2. Finite State Machine Applications
4. Traditional Approaches for Software Reliability Estimation
5. Reliable Computing: Present State of Affairs
5.1. Reliable Autonomous Computing
6. Automata-Based versus Traditional Approaches: A Comparison
7. Automata-Based Reliability Model
8. Conclusion and Future Scope
References
1. Introduction
2. Software Reliability Problems
2.1. Limitations of Reliability Estimation Models
3. Software is a Finite State Machine
3.1. Advantages of Finite State Machine Based Software Representation
3.2. Finite State Machine Applications
4. Traditional Approaches for Software Reliability Estimation
5. Reliable Computing: Present State of Affairs
5.1. Reliable Autonomous Computing
6. Automata-Based versus Traditional Approaches: A Comparison
7. Automata-Based Reliability Model
8. Conclusion and Future Scope
References
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자료제공 : 네이버학술정보