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A method based on fuzzy system for assessing the reliability of software based aspects

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Języki publikacji
EN
Abstrakty
EN
In fact, reliability as the qualities metric is the probability success or the probability that a system or a set of tasks will work without failure for a specified constraints of time and space, as specified in the design and operating conditions specified temperature, humidity, vibration and action. A relatively new methodologies for developing complex software systems engineering is an aspect oriented software systems, that provides the new methods for the separation of concerns multiple module configuration or intervention and automatic integration them with a system. In this paper, a method using fuzzy logic to measure software reliability based on the above aspects is presented. The proposed approach regarding the use of appropriate metrics and low errors in the estimation of reliability has a better performance than other methods.
Twórcy
autor
  • Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran
autor
  • Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran
Bibliografia
  • 1. Seyster J., et al. Aspect-oriented instrumentation with GCC. In: Runtime Verification, Springer, 2010.
  • 2. Chiu K.-C., Huang Y.-S., Lee T.-Z., A study of software reliability growth from the perspective of learning effects. Reliability Engineering & System Safety, 93(10), 2008, 1410–1421.
  • 3. Kiran N.R. and Ravi V., Software reliability prediction by soft computing techniques. Journal of Systems and Software, 81(4), 2008, 576–583.
  • 4. Figueiredo E., et al, Assessing aspect-oriented artifacts: Towards a tool-supported quantitative method. 2005.
  • 5. Sant’Anna C., et al. On the reuse and maintenance of aspect-oriented software: An assessment framework. In: Proceedings of Brazilian Symposium on Software Engineering, 2003.
  • 6. Reena Dadhich B.M., Measuring reliability of an aspect oriented software using fuzzy logic approach. International Journal of Engineering and Advanced Technology (IJEAT), June 2012.
  • 7. Zadeh L.A., Fu K.-S., Tanaka K., Fuzzy sets and their applications to cognitive and decision processes. Proceedings of the US–Japan Seminar on Fuzzy Sets and Their Applications. Academic Press University of California, Berkeley, California, July 1-4, 2014.
  • 8. Ross T.J., Fuzzy logic with engineering applications. Wiley, Vol. 761, 2013.
  • 9. Ceccato M. and Tonell P., Measuring the effects of software aspectization. Workshop on Aspect Reverse Engineering, 2004.
  • 10. Kemerer S.R.C.A.C.F., Suite for object oriented design. IEEE Trans. on Software Engineering, 20, 1994.
  • 11. Chai T. and Draxler R., Root mean square error (RMSE) or mean absolute error (MAE)? Geoscientific Model Development Discussions, 7, 2014, 1525–1534.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-20f37d48-66fe-470d-8d8b-817a7131317b
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