An application of learning effects for assessing work performance using a software reliability growth model with multiple change-points

Kuei Chen Chiu, Shulan Hsieh

研究成果: Conference contribution

摘要

Learning effects exist with regard to various behaviors, and especially work-related processes. This study measures the performance of a software testing project with time-varying effects using a software reliability growth model (SRGM), and discusses the changes in learning effects parameters with change-points in the model. We employ Chiu's [2] model to construct the time-varying learning effects and measure the performance of the software testing project using the data set in Huang and Hung [10]. This paper also discusses the time-lag between error-detected and error-removed that exists with different learning concepts. The results indicate that error-removed requires more cognitive learning process time, and this information can be used to help project managers mastering the staff and the process of software testing, efficiently.

原文English
主出版物標題IEEE International Conference on Industrial Engineering and Engineering Management
發行者IEEE Computer Society
頁面1711-1715
頁數5
ISBN(電子)9781479909865
DOIs
出版狀態Published - 2014 十一月 18
事件2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 - Bangkok, Thailand
持續時間: 2013 十二月 102013 十二月 13

出版系列

名字IEEE International Conference on Industrial Engineering and Engineering Management
ISSN(列印)2157-3611
ISSN(電子)2157-362X

Other

Other2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
國家Thailand
城市Bangkok
期間13-12-1013-12-13

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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