What works for whom, where, when, and why?: on the role of context in empirical software engineering
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
Legibility and predictability of robot motion
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
Communication of intent in assistive free flyers
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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The skills of software developers are important to the success of software projects. Also, when studying the general effect of a tool or method, it is important to control for individual differences in skill. However, the way skill is assessed is often ad hoc, or based on unvalidated methods. According to established test theory, validated tests of skill should infer skill levels from well-defined performance measures on multiple, small, representative tasks. In this respect, we show how time and quality, which are often analyzed separately, can be combined as task performance and subsequently be aggregated as an approximation of skill. Our results show significant positive correlations between our proposed measures of skill and other variables, such as seniority, lines of code written, and self-evaluated expertise. The method for combining time and quality is a promising first step to measuring programming skill in both industry and research settings.