Community help: discovering tools and locating experts in a dynamic environment
CHI '95 Conference Companion on Human Factors in Computing Systems
Hipikat: recommending pertinent software development artifacts
Proceedings of the 25th International Conference on Software Engineering
Mining Version Histories to Guide Software Changes
Proceedings of the 26th International Conference on Software Engineering
Using structural context to recommend source code examples
Proceedings of the 27th international conference on Software engineering
To talk or not to talk: factors that influence communication around changesets
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
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Many recommendation systems have been built to aid software developers. Few have been evaluated using human-based evaluation strategies. In studying situations where recommendation systems have been used or might be used, we have observed that issues related to trust are important to a developer's acceptance of recommendations. In this position paper, we outline the trust issues that we have identified and suggest some mechanisms for promoting trust in recommendation systems aimed at software developers.