首页    期刊浏览 2024年07月03日 星期三
登录注册

文章基本信息

  • 标题:Study of Predicting Fault Prone Software Modules
  • 本地全文:下载
  • 作者:Ritika Sharma ; Neha Budhija ; Bhupinder singh
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 出版社:S.S. Mishra
  • 摘要:Most of the current project management software's are utilizing resources on developing areas in software projects. This is considerably essential in view of the meaningful impact towards time and co st -effective dev elopment. One of the major areas is the fault proneness prediction, which is used to find out the impact areas by using several approaches, techniques and applications. Software fault proneness application is an application based on computer aided approach to predict the probability that the software contains faults. The majority of software faults are present in small number of modules, therefore accurate prediction of fault-prone modules helps to improve software quality by focusing testing efforts on a subset of modules. This paper will discuss the detail design of software fault proneness application using the object oriented appro ach. Prediction of fault-prone modules provides one way to support software quality engineering through improved scheduling and project control. The primary goal of our research is to develop and refine techniques for early prediction of fault-prone modules
  • 关键词:Software module; Fault-prone module; Fault detection; Software Metric; software ;quality
国家哲学社会科学文献中心版权所有