STATISTICAL MODELING APPLIED TO MANAGING GLOBAL 5ESS(R)-2000 SWITCH SOFTWARE-DEVELOPMENT

In the development of new releases of large software systems, the soft ware is evaluated by various development and testing organizations. To ensure that software faults causing customer-affecting failures are m inimized at each stage of the development cycle, we use developer-orie nted and customer-oriented metrics to measure software quality. Develo per-oriented metrics focus on faults and fault densities during testin g to monitor development process capabilities and software quality. th ese metrics are expressed as the number of faults per thousand of non- commentary source lines of code (KNCSL). Customer-oriented metrics foc us on failure intensity during software execution, thus providing a us er's view of the software quality, These metrics are expressed as fire number of failures per unit of time. This paper describes the use of: empirical software tracking models and software reliability models, a s well as reports derived from these models, in managing the 5ESS(R)-2 000 switch development resources and product quality.