Customer-Perceived Software Reliability Predictions: Beyond Defect Prediction Models
In this paper we propose a procedure for implementing customer-perceived software reliability predictions, which address customers concern about serviceimpacting outages and system stability. Data requirements are clearly defined in terms of test defects and field outages to ensure a good data collection process. We incorporate the effect of operational profile to demonstrate the changes in defect find rate from internal test through precutover test and in-service operation. A software reliability growth model is a necessary key step, but not sufficient for addressing customer-perceived reliability measures. The proposed approach is a result from in-depth investigations of test defect data and field outage data over many years. It has been successfully demonstrated with actual field data and implemented in a variety of software development projects.
KAZU OKUMOTO
Alcatel-Lucent Technologies, Naperville, IL 60563
国际会议
北京
英文
627-633
2011-06-20（万方平台首次上网日期，不代表论文的发表时间）