Modeling the cost of software quality
Digital Technical Journal
Economics of software verification
PASTE '01 Proceedings of the 2001 ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
Software quality economics for defect-detection techniques using failure prediction
3-WoSQ Proceedings of the third workshop on Software quality
Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
"Not my bug!" and other reasons for software bug report reassignments
Proceedings of the ACM 2011 conference on Computer supported cooperative work
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Static analysis tools have experienced a dichotomy over the span of the last decade. They have proven themselves to be useful in many domains, but at the same time have not (in general) experienced any notable concrete integration into a development environment. This is partly due to the inherent complexity of the tools themselves, as well as due to other intangible factors. Such factors usually tend to include questions about the return on investment of the tool and the value the tool provides in a development environment. In this paper, we present an empirical model for evaluating static analysis tools from the perspective of the economic value they provide. We further apply this model to a case study of the Static Driver Verier (SDV) tool that ships with the Windows Driver Kit and show the usefulness of the model and the tool.