Software Reliability Assessment Based on Fuzzy Evaluation

Abstract:

Software reliability assessment plays an important role in the software reliability engineering, but the traditional software assessment method mostly focuses on evaluation by use of failure data which is gained only after testing or usage in the late phase of the software life cycle. Thus people hope to get every stage’s information about the software’s reliability which is taken as the reference or accordance to guide the software’s design, analysis and testing and so on. The correlative factors of various products, processes and resources in the whole software life cycle have a very important effect on software reliability and, uncertainty exists in the software reliability evaluation to some extent. Fuzzy evaluation has a strong applicability for solving the fuzzy problem and an approach for software reliability qualitative evaluation based on fuzzy evaluation was proposed in this paper. Firstly the rationale and process of this method were described in detail, then a case study was implemented. The experimental results showed that the approach was feasible and effective.

• Periodical: Applied Mechanics and Materials (Volumes 268-270)
• Pages: 1877-1881
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.268-270.1877
• Online since: December 2012
• Authors: Li Xin Liu, Qiu Ying Li
• Keywords: Comprehensive Evaluation, Fuzzy Evaluation, Software Reliability Assessment

References

[1] R.Z. Xu, M. Xie, R.J Zheng. Software reliability model and its application.Tsinghua University Publishing House, Bei Jing. (1994).

[2] Q.Y Li, M.Y Lu, H.F Li. The research for software reliability qualitative evaluation based on environmental factors. Reliability, safety, maintenance and airworthiness topics. 01-08-03. (2007)( in chinese).

[3] H.F. Li , M.Y. Lu , Z. Wang, Z. Li: Framework for software reliability comprehensive evaluation based on grey system theory. Journal of Beijing University of Aeronautics and Astronautics 34(11) (2008), p.1261–1265(in chinese).

[4] B. Liu, M.Y. Lu, L. Ruan. Early Software Reliability Prediction: an Approach Based on Fuzzy Neural Network. Journal of Beijing University of Aeronautics and Astronautics 27(2) (2001) p.237–240.

[5] Y.L Zhang, Y. Hua. Method of Software Quality Evaluation Based on Rough Set Theory. 2011 Academic and Teaching Seminar on Electronic Information Sciences of Higher Vocational Education. (2011).

[6] P. Hoang. Software reliability. Singapore: New York Springer, (2000).

[7] T.J Wang, M. Li. A fuzzy comprehensive evaluation model for software reliability. Computer Engineering and Applications, (2002), 20: 23 – 26.（in chinese）.

[8] A. Bendell and so on. Software reliability: The report of current technology development. the tenth compiled material of the quality and reliability. Translated by Hu Changshou Shen Jianan. Editorial department of << quality and reliability>>. (1990).