Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Li, H., Lu, M., Wang, Z., Li, Z.: Framework for software reliability comprehensive evaluation based on grey system theory. Journal of Beijing University of Aeronautics and Astronautics 34(11), 1261–1265 (2008) (in Chinese)
Wang, T., Li, M.: A Fuzzy Comprehensive Evaluation Model for Software Reliability. Computer Engineering and Applications 38(20), 23–26 (2002) (in Chinese)
Liu, B., Lu, M.-Y., Ruan, L.: Early Software Reliability Prediction: an Approach Based on Fuzzy Neural Network. Journal of Beijing University of Aeronautics and Astronautics 27(2), 237–240 (2001) (in Chinese)
Li, H., Lu, M., Li, Q.: Software Reliability Metrics Selecting Method Based on Analytic Hierarchy Process. In: Proceedings of QSIC, pp. 337–346 (2006)
IEEE Std 982.1-1988: IEEE Standard Dictionary of Measures to Produce Reliable Software, IEEE (1988)
Zhang, X., Hoang, P.: An analysis of factors affecting software reliability. The Journal of Systems and Software 50, 43–56 (2000)
Wang, G.: Rough set theory and knowledge acquisition. Xi’an Jiao tong University Press, Xi’an (2001)
Pham, H.: Software Reliability. Springer, Singapore (2000)
Chang, L., Wang, G., Wu, Y.: An Approach for Attribute Reduction and Rule Generation Based on Rough Set Theory. Journal of Software 10(11), 1206–1211 (1999)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Li, Q., Wang, J. (2012). A Software Reliability Evaluation Method Based on Rough Set. In: Zhang, T. (eds) Mechanical Engineering and Technology. Advances in Intelligent and Soft Computing, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27329-2_49
Download citation
DOI: https://doi.org/10.1007/978-3-642-27329-2_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27328-5
Online ISBN: 978-3-642-27329-2
eBook Packages: EngineeringEngineering (R0)