TY - GEN
T1 - Applied cognitive psychology in software debugging process to predict software reliability growth
AU - Chiu, Kuei Chen
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - This study applied cognitive psychology in software testing/debugging process to predict software reliability by the time lag between error-detection and error-renovation. This paper integrates the SRGMs of Chiù et al. using the time-varying learning effects [2] to measure the performance of error-detection and error-renovation in a software testing/debugging project for the datasets in Huang and Hung [8], this study also figure out the time lag between error-detection and error-renovation with time-varying learning effects and predict software reliability growth by the time lag. According to the results, the software testing/debugging managers can master the remaining time to remove errors and lift software reliability to the goal ahead of time based on errors-detection rate by improve learning effects. The results will help software system testing/debugging managers to shorten software testing time, save testing time, dominate the market by releasing software system ahead of time, and manage the software testing/debugging process more efficiently.
AB - This study applied cognitive psychology in software testing/debugging process to predict software reliability by the time lag between error-detection and error-renovation. This paper integrates the SRGMs of Chiù et al. using the time-varying learning effects [2] to measure the performance of error-detection and error-renovation in a software testing/debugging project for the datasets in Huang and Hung [8], this study also figure out the time lag between error-detection and error-renovation with time-varying learning effects and predict software reliability growth by the time lag. According to the results, the software testing/debugging managers can master the remaining time to remove errors and lift software reliability to the goal ahead of time based on errors-detection rate by improve learning effects. The results will help software system testing/debugging managers to shorten software testing time, save testing time, dominate the market by releasing software system ahead of time, and manage the software testing/debugging process more efficiently.
UR - http://www.scopus.com/inward/record.url?scp=84988264999&partnerID=8YFLogxK
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U2 - 10.1109/IEEM.2014.7058868
DO - 10.1109/IEEM.2014.7058868
M3 - Conference contribution
AN - SCOPUS:84988264999
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1399
EP - 1403
BT - IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management
PB - IEEE Computer Society
T2 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014
Y2 - 9 December 2014 through 12 December 2014
ER -