Comprehensive forecasting of software integrity in C3I systems
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Abstract
The purpose of this project is to forecast the incidence of failures to be encountered by a software package for C3I systems over and throughout its life cycle. It will be assumed that a data base of software previously developed for C3I systems will be used to forecast the software integrity of a software package under initial development. "Software integrity" is defined as a projection of the stream of failures that will be experienced by the new software. The failure history of the mature C3I systems software will be statistically quantified parametrically and by experimental design techniques (ANOVA) to gather information which will be used to forecast what C3I software with similar characteristics--length, language, debugging effort, etc.--will experience.
Then, as the new C3I system software matures, statistical techniques for software systems engineering will be addressed for testing appropriateness of the initial projections; and eventually the new software will be parametrically modeled on its own merits to forecast the failures to be encountered over the remainder of its life cycle.
Lastly, the data base history of software for mature C3I systems software will be updated and amended as needed to facilitate reliable forecasting of software integrity for a new round of C3I systems software.
The attention to C3I implied by the title of the project will reflect itself in the classes of software considered and development conditions, schedules and complexities of the software.