TY - GEN
T1 - An application of learning effects for assessing work performance using a software reliability growth model with multiple change-points
AU - Chiu, Kuei Chen
AU - Hsieh, Shulan
PY - 2014/11/18
Y1 - 2014/11/18
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84914171070&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84914171070&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2013.6962702
DO - 10.1109/IEEM.2013.6962702
M3 - Conference contribution
AN - SCOPUS:84914171070
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1711
EP - 1715
BT - IEEE International Conference on Industrial Engineering and Engineering Management
PB - IEEE Computer Society
T2 - 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
Y2 - 10 December 2013 through 13 December 2013
ER -