This paper presents data on the effectiveness of software fault insertion, discusses the advantages and risks of fault insertion, provides tips on gaining cultural acceptance for fault insertion and suggests high payback areas for fault insertion which have proven themselves over multiple products. In a typical software development cycle, defect detection starts to trail off once the mainline code stabilizes. With software fault insertion, it was found that the defect detection rate does not level off and the hardest task becomes not one of finding defects but one of prioritizing the stream of defects.

The Quality Management System (QMS) aims at automating the Quality Processes in a Software Industry. The system is built having Adaptive Quality System (AQS) as its reference.

Customers are requiring frequent and feature-rich releases of software products to support Lucent Hardware. The fundamental problem is that the time required to develop and test features often exceeds the release interval. One option to meet the needs of our customers is to use concurrent development and testing; however, the use of concurrent development has several potential pitfalls. The primary problems associated with concurrent development are: 1) How to isolate the long lead features from the features that fit within a development cycle, 2) How to manage the propagation of bugs fixed between releases that are in the field and releases that are still being developed, and 3) Developers must be trained to work in the concurrent paradigm. This paper describes a unique approach, using existing Configuration Management tools, to managing the development load lines in support of concurrent Fixed Interval Feature Delivery (FIFD). Software load line management is the infrastructure and p

It is often necessary or advantageous to examine differences between processes (or technologies), for the purpose of making business decisions. Statistical thinking is needed to evaluate the impact of process of other changes on organizational performance. In statistical thinking, past experience is summarized or generalized. Statistical thinking allows us to make predictions and reach conclusions.