New Software Testing Method Based on Evolutionary Algorithm

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Software Testing is an important part of software development which is performed to support and enhance reliability and quality of software. It consists of estimating testing effort, selecting suitable test team, designing test cases, executing the software with those test cases and examining the results produced by these methods. This paper proposes Fuzzy Based approach for finding out the complexity weight based on requirement. Based on the weight, this paper computes the software complexity point. Fuzzy logic uses membership functions to include linguistic variables and quantifiers. Fuzzy Logic could be used in project estimation purposes efficiently by gathering size data on previously developed programs. The advantage of this model is that it is able to estimate the software complexity which in turn predicts the software requirement stability during the software development cycle.

     

     

     

  • Keywords


    Software Reliability, Evolutionary Algorithms, Fuzzy Logic Algorithm.

  • References


      [1] Zhitao He, Haihua Yan, Chao Liu and Huacan He, “A formal definition of software testing based on fuzzy measure,” Fourth World Congress on Software Engineering, 2013.

      [2] Manoj Kumar, Arun Sharma and Rajesh Kumar, “Fuzzy entropy- based framework for multi-faceted test case classification and selection: an empirical study,” IET software,vol. 8, Iss. 3, 2014, pp. 103-112.

      [3] Xiaojing Wang, Angel F. Garcia and Martine Ceberio, “Interval-based Algorithms to extract Fuzzy Measures for Software Quality Assessment,”,IEEE Trans., 2012.

      [4] Aleksander Dimov and Sasikumar Punnekkat, “Fuzzy reliability model for component-based software system,” EUROMICRO Conference on Software engineering and Advanced Applications, 2010.

      [5] Mahdi Sharifi, Azizah Abdul Manaf, Ali Memariani, Homa Movahednejad and Amir Vahid Dastjerdi, “Consensus-based service selection using crowdsourcing under fuzzy preferences of users,” IEEE International Conference on Services Computing. 2014

      [6] IEEE Standard Glossary of Software Engineering Terminology, IEEE, 1990.

      [7] Voas Jeffrey M., Miller Keith W., “Improving the Software Development Process using Testability Research,” at NASA-Langley Research Center, pp. 114- 121, IEEE Software, 1992.

      [8] ISO 9126, International Organization for standardization


 

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Article ID: 17747
 
DOI: 10.14419/ijet.v7i3.27.17747




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