A Simulation Tool for Efficient Analogy Based Cost Estimation
Empirical Software Engineering
Regression Models of Software Development Effort Estimation Accuracy and Bias
Empirical Software Engineering
Journal of Systems and Software
IEEE Transactions on Software Engineering
Evidence-Based Guidelines for Assessment of Software Development Cost Uncertainty
IEEE Transactions on Software Engineering
A framework for the analysis of software cost estimation accuracy
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
The Future of Empirical Methods in Software Engineering Research
FOSE '07 2007 Future of Software Engineering
Information and Management
Characteristics of software engineers with optimistic predictions
Journal of Systems and Software
Software test effort estimation
ACM SIGSOFT Software Engineering Notes
Any other cost estimation inhibitors?
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
The effects of request formats on judgment-based effort estimation
Journal of Systems and Software
Software effort estimation terminology: The tower of Babel
Information and Software Technology
Project delay variability simulation in software product line development
ICSP'07 Proceedings of the 2007 international conference on Software process
Analogy-based software effort estimation using Fuzzy numbers
Journal of Systems and Software
Project cost overrun simulation in software product line development
PROFES'07 Proceedings of the 8th international conference on Product-Focused Software Process Improvement
ACM Transactions on Software Engineering and Methodology (TOSEM)
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Traditionally, software professionals are requested to provide minimum-maximum intervals to indicate the uncertainty of their effort estimates. In this paper, we claim that the traditional request is not optimal and leads to overoptimistic views about the level of estimation uncertainty. Instead, we propose that it is better to frame the request for uncertainty assessment: "How likely is it that the actual effort will be more than/less than X?驴 Our claim is based on the results of a previously reported experiment and field studies in two companies. The two software companies were instructed to apply the traditional and our alternative, framing on random samples of their projects. In total, we collected information about 47 projects applying the traditional framing and 23 projects applying the alternative framing.