The promise of search-driven development is that developers will save time
and resources by reusing external code in their local projects. To efficiently
integrate this code, users must be able to trust it, thus trustability of code
search results is just as important as their relevance. In this paper, we
introduce a trustability metric to help users assess the quality of code search
results and therefore ease the cost-benefit analysis they undertake trying to
find suitable integration candidates.