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The promise of search-driven development is that developers will save timeand resources by reusing external code in their local projects. To efficientlyintegrate this code, users must be able to trust it, thus trustability of codesearch results is just as important as their relevance. In this paper, weintroduce a trustability metric to help users assess the quality of code searchresults and therefore ease the cost-benefit analysis they undertake trying tofind suitable integration candidates. The proposed trustability metricincorporates both user votes and cross-project activity of developers tocalculate a "karma" value for each developer. Through the karma value of allits developers a project is ranked on a trustability scale. We present JBender,a proof-of-concept code search engine which implements our trustability metricand we discuss preliminary results from an evaluation of the prototype.

A Trustability Metric for Code Search based on Developer Karma