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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages1711-1715
Number of pages5
ISBN (Electronic)9781479909865
DOIs
Publication statusPublished - 2014 Nov 18
Event2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 - Bangkok, Thailand
Duration: 2013 Dec 102013 Dec 13

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Other

Other2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
CountryThailand
CityBangkok
Period13-12-1013-12-13

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All Science Journal Classification (ASJC) codes

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

Cite this

Chiu, K. C., & Hsieh, S. (2014). An application of learning effects for assessing work performance using a software reliability growth model with multiple change-points. In IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1711-1715). [6962702] (IEEE International Conference on Industrial Engineering and Engineering Management). IEEE Computer Society. https://doi.org/10.1109/IEEM.2013.6962702