Quantitative software reliability evaluation method depends on the failure data of software. And most evaluation work is started only after obtaining the failure data in the later period of software development, which leads to a problem that people could not obtain the information of software reliability level in the early stage of software development, which could be used for guiding the work of software reliability design, analysis and testing. Therefore, the qualitative software reliability evaluation methods based on the reliability corresponding factors in each stage of the software development are studied recently. In this paper, a qualitative software reliability evaluation method based on rough set is proposed, which takes use of the data mining technology based on rough set to analyze the data related to the software reliability, and finds the factors and the correlation rules which have an important influence on the software reliability. Then it could be used to evaluate the software reliability.
[1]
Li Haifeng,et al.
Framework for software reliability comprehensive evaluation based on grey system theory
,
2008
.
[2]
Liu Bin,et al.
Early Software Reliability Prediction: an Approach Based on Fuzzy Neural Network
,
2001
.
[3]
Haifeng Li,et al.
Software Reliability Metrics Selecting Method Based on Analytic Hierarchy Process
,
2006,
2006 Sixth International Conference on Quality Software (QSIC'06).
[4]
Chang Li-yun,et al.
An Approach for Attribute Reduction and Rule Generation Based on Rough Set Theory
,
1999
.
[5]
Hoang Pham,et al.
An analysis of factors affecting software reliability
,
2000,
J. Syst. Softw..
[6]
Hoang Pham.
Software Reliability
,
1999
.