Evaluation method of software reliability based on SPN model

As a significant measure of software security evaluation, software reliability evaluation is also the basis of software safe operation. Traditional software system security evaluation methods are qualitative evaluation based on the functional and structural measurements, and it often ignores quantitative research based on invalidity and fault. This paper propose a stochastic transition function as a measure parameters of the reliability of stochastic Petri nets (SPN) theory. By calculating the probability of stability of the system, failure and mean time to first failure, it establishes an evaluation and measurement method for software reliability. With example analysis, the method can conduct effective evaluation on the software reliability index quickly and accurately, and meanwhile provides a new method for the software security evaluation.

[1]  Shao Lili Research on Evaluation Method of Software Reliability Based on Agile Development with Intuitionistic Trapezoidal Fuzzy Information , 2012 .

[2]  Anas N. Al-Rabadi,et al.  A comparison of modified reconstructability analysis and Ashenhurst‐Curtis decomposition of Boolean functions , 2004 .

[3]  Huang Can,et al.  Investigation on relationship between cost and software reliability , 2008, Wuhan University Journal of Natural Sciences.

[4]  Mohd Afizi Mohd Shukran,et al.  The New Design of Computer Controlled Braille , 2012 .

[5]  Wu Cai-hu Research on early evaluation of software reliability based on Markov chain , 2014 .

[6]  Ma Li Reliability Estimation on Reconfigurable Routing Platform Components , 2013 .

[7]  Wlodzimierz M. Zuberek,et al.  Performance evaluation using unbounded timed Petri nets , 1989, Proceedings of the Third International Workshop on Petri Nets and Performance Models, PNPM89.

[8]  刘宏伟,et al.  Analysis on testing and operational reliability of software , 2008 .

[9]  Kishor S. Trivedi,et al.  Extended Stochastic Petri Nets: Applications and Analysis , 1984, Performance.

[10]  John D. Musa,et al.  Application of Basic and Logarithmic Poisson Execution Time Models in Software Reliability Measurement , 1987, Software Reliability Modelling and Identification.

[11]  Dmitry A. Maevsky,et al.  A METHOD OF A PRIORI SOFTWARE RELIABILITY EVALUATION , 2014 .

[12]  XURen-zuo,et al.  Investigation on Relationship between Cost and Software Reliability , 2005 .