Trigger and Impact Profiles Enable Outcome Focused Defect Discovery to Manage Software Quality

摘要

Late life failures in software occur primarily due to certain Triggers that are inadequately present in the development and test processes. Triggers surface faults that are otherwise dormant driven by workloads, configurations, traffic, etc. This case study presents Trigger and Impact distributions across five stages of testing in development and early customer trials. These distribution changes and their implications enable the study, design and prediction of an outcome focused method to gain high quality. The insight from the data sheds light on the possibilities for late life failures and their consequences.