Intelligent aids, mental models, and the theory of machines
International Journal of Man-Machine Studies - Special Issue: Cognitive Engineering in Dynamic Worlds
Communications of the ACM - Special issue on analysis and modeling in software development
Mental models: concepts for human-computer interaction research
International Journal of Man-Machine Studies
CAiSE '99 Proceedings of the 11th International Conference on Advanced Information Systems Engineering
Multi-View Modelling of Software Processes
EWSPT '94 Proceedings of the Third European Workshop on Software Process Technology
A Systematic, View-Based Approach to Eliciting Process Models
EWSPT '96 Proceedings of the 5th European Workshop on Software Process Technology
Towards Systematic Knowledge Elicitation for Descriptive Software Process Modeling
PROFES '01 Proceedings of the Third International Conference on Product Focused Software Process Improvement
Eliciting formal models of software engineering processes
CASCON '94 Proceedings of the 1994 conference of the Centre for Advanced Studies on Collaborative research
Exploring language in software process elicitation: A grounded theory approach
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
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Process models are often the basis for demonstrating compliance and recommending improvement in software engineering organizations. A descriptive model is a type of process model describing the human activities in software development that actually occur. The purpose of a descriptive model is to provide a baseline for further process improvement and analysis. Ideally, a descriptive model provides an explicit representation. However, if the descriptive model does not represent how a process is actually performed, subsequent recommendations for improvement may be based upon information that is depicted in the model but that does not actually take place. Similarly, a descriptive model may omit important information that is centrally relevant for an organization's process improvement goals. The accuracy of software process elicitation is an important measure and is the degree a descriptive model reflects an actual process in the real world. This study, informed by a synthesis of arguments from related literature, characterizes the accuracy of software process elicitation as the perception of error for a descriptive model. We collected data from 48 users in professional training settings using a between subjects design. The results suggest that users in the treatment group perceived significantly higher error.