Proceedings of the 25th International Conference on Software Engineering
Intelligent generation of candidate sets for genetic algorithms in very large search spaces
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
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The objective is to use cost-benefit analyses to identify, for a given project, optimal sets of software assurance activities. Towards this end we have incorporated cost-benefit calculations into a risk management framework. The net result is the capability to rapidly explore the costs and benefits of sets of assurance decisions.We describe the cost-benefit aspects of our framework , and demonstrate them on a small illustrative example. We then address the issues raised by seeking to apply this approach to software assurance planning for large-scale software development efforts.