Table of Contents
ISRN Software Engineering
Volume 2012, Article ID 202980, 10 pages
http://dx.doi.org/10.5402/2012/202980
Research Article

Bayesian and Fuzzy Approach to Assess and Predict the Maintainability of Software: A Comparative Study

1Department of Computer Science, DAV College, Jalandhar 144008, India
2Department of Computer Science & Engineering, NIT, Jalandhar 144011, India

Received 31 August 2011; Accepted 27 September 2011

Academic Editor: D. Testi

Copyright © 2012 Kawal Jeet and Renu Dhir. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. The Standish Group Report Chaos—Project Smart, http://www.projectsmart.co.uk/docs/chaos-report.pdf.
  2. C. G. O'Regan, A Practical Approach to Software Quality, Springer, New York, NY, USA, 2002.
  3. H. W. Jung, S. G. Kim, and C. S. Chung, “Measuring software product quality: a survey of ISO/IEC 9126,” IEEE Software, vol. 21, no. 5, pp. 88–92, 2004. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Moses, “Should we try to measure software quality attributes directly?” Software Quality Journal, vol. 17, no. 2, pp. 203–213, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. M. A. Côté, W. Suryn, and E. Georgiadou, “In search for a widely applicable and accepted software quality model for software quality engineering,” Software Quality Journal, vol. 15, no. 4, pp. 401–416, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. F. Deissenboeck, S. Wagner, M. Pizka, S. Teuchert, and J. F. Girard, “An activity-based quality model for maintainability,” in Proceedings of the 23rd IEEE International Conference on Software Maintenance (ICSM '07), pp. 184–193, IEEE Computer Society Press, 2007. View at Publisher · View at Google Scholar
  7. S. Wagner, “A Bayesian network approach to assess and predict software quality using activity-based quality models,” in Proceedings of the ACM International Conference on Predictor Models in Software Engineering (PROMISE '09), ACM, New York, NY, USA, 2009. View at Publisher · View at Google Scholar
  8. NASA IV&V Facility. Metrics data program, http://promisedata.org/repository/data/cm1/cm1_bn.arff.
  9. L. A. Zadeh, “Fuzzy sets,” Information and Control, vol. 8, no. 3, pp. 338–353, 1965. View at Google Scholar · View at Scopus
  10. Fuzzy Logic Toolbox for MATLAB and Simulink, http://www.mathworks.com/products/fuzzylogic.