Estimate reliability of component-based software sys-tem using modified neuro fuzzy model

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    There are many algorithms and techniques for estimating the reliability of Component Based Software Systems (CBSSs). Accurate esti-mation depends on two factors: component reliability and glue code reliability. Still much more research is expected to estimate reliability in a better way. A number of soft computing approaches for estimating CBSS reliability has been proposed. These techniques learnt from the past and capture existing patterns in data. In this paper, we proposed new model for estimating CBSS reliability known as Modified Neuro Fuzzy Inference System (MNFIS). This model is based on four factors Reusability, Operational, Component dependency, Fault Density. We analyze the proposed model for diffent data sets and also compare its performance with that of plain Fuzzy Inference System. Our experimental results show that, the proposed model gives better reliability as compare to FIS.

  • Keywords

    Component-Based Software Systems (CBSS); Fuzzy; Modified Neuro Fuzzy Inference System (MNFIS); Neuro Fuzzy; Reliability.

  • References

      [1] Ashish Seth, Himanshu Agarwal and Ashim Raj Singla, 2014. Reliability Estimation of Services Oriented Systems Using Adaptive Neuro Fuzzy Inference System. Journal of Software Engineering and Applications, 2014, 7, 581-591.

      [2] Charu Singh, Amrendra Pratap and Abhishek Singhal, 2014 .Estimation of Software Reusability for Component based System using Soft Computing Techniques, 2014 5th International Conference- Confluence The Next Generation Information Technology Summit (Confluence) 793.

      [3] Gopal Prasad Jaiswal and Ram Nivas Giri, 2015. Software Reliability Estimation of Component based Software System using Fuzzy Logic. International Journal of Computer Applications (0975 – 8887).

      [4] Jyoti Agarwal , Renuka Nagpal and Rajni Sehgal, 2014 Reliability of Component based Software System using Soft Computing Techniques – A Review, International Journal of Computer Applications (0975 – 8887) Volume 94 – No 2, May 2014.

      [5] Kirti Tyagi and Arun Sharma, 2014. An adaptive neuro fuzzy model for estimating the reliability of component-based software system. Applied Computing and Informatics (2014) 10, 38–51.

      [6] Kuldeep Singh Kaswan, Sunita Choudhary and Kapil Sharma, 2015. Software Reliability Modeling using Soft Computing Techniques: Critical Review, I.J. Information Technology and Computer Science, 2015, 07, 90-101.

      [7] Parul Gandhi, 2016. Assessment of Components Generality Using Fuzzy Approach to Optimize Software Development Cost. International Journal of Computer Science and Information Technology, PP. 647-654.

      [8] Shalini Goel, 2014. Neuro Fuzzy based Approach to Predict Component’s Reusability. International Journal of Computer Applications, PP. 0975-8887.

      [9] Yogesh singh, pradeep kumar bhatia and omprakash sangwan, 2011. Software reusability assessment using soft computing techniques, ACM SIGSOFT Software Engineering Notes Page 1.




Article ID: 7722
DOI: 10.14419/ijet.v6i2.7722

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.