Applied cognitive psychology in software debugging process to predict software reliability growth

摘要

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 & 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.