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文章基本信息

  • 标题:Soft Computing Based Approaches for Software Testing: A Survey
  • 本地全文:下载
  • 作者:Bipin Pandey ; Rituraj Jain
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2014
  • 卷号:4
  • 期号:2
  • 页码:4-8
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:Software testing is the process of validation and verification of the software product which in turn deliver the reliable and quality oriented software product to users with lower maintenance cost, and more accurate and reliable results. Software testing effectiveness always depends on issues like generated test cases, prioritization of test cases etc. These issues demands on effort, time and cost of the testing. Many academicians and researchers are using soft computing based approached for better accuracy in testing. The aim of this research paper is to evaluate and compare soft computing approaches to do software testing and determine their usability and effectiveness.
  • 关键词:Black Box Testing; Fuzzy Logic; Genetic;Algorithms; Neural Network; Soft Computing; Software Testing;Tabu Search; White Box testing
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