and found that about 30% of the projects had applied effort prediction intervals on the activity level. However, only 3 of these projects had logged the actual effort applying the same work break-down structure as used when estimating the effort. In fact, even these three projects had to split and combine some of the logged effort data to enable an analysis of the accuracy of the effort of PIs. (tn: PI = prediction interval, a minimum - maximum effort).” M. Jørgensen, K. Teigen, K. J. Moløkken-Østvold Better Sure Than Safe? Overconfidence in Judgment Based Software Development Effort Prediction Intervals
40% Designers 1260h 53% Engagement Managers 1550h 65% M. Jørgensen, K. Teigen, K. J. Moløkken-Østvold Better Sure Than Safe? Overconfidence in Judgment Based Software Development Effort Prediction Intervals
effort PIs, only to more confidence in the estimates. This is in line with the distinction between an “inside” versus an “outside” view in predictions (Kahneman and Lovallo 1993).” M. Jørgensen, K. Teigen, K. J. Moløkken-Østvold Better Sure Than Safe? Overconfidence in Judgment Based Software Development Effort Prediction Intervals
case at hand, by considering the plan and the obstacles to its completion, by constructing scenarios of future progress, and by extrapolating current trends. The outside view is the one that the curriculum expert was encouraged to adopt. It essentially ignores the details of the case at hand, and involves no attempt at detailed forecasting of the future history of the project. Instead, it focuses on the statistics of a class of cases chosen to be similar in relevant respects to the present one.” Kahneman and Lovallo Timid Choices and Bold Forecasts: A Cognitive Perspective on Risk Taking
with a high degree of accuracy. ... To improve the algorithmic models, there is a great need for the industry to collect project data on a wider scale.” Hareton Leung Software Cost Estimation
no one method or model should be preferred over all others. The key to arriving at sound estimates is to use a variety of methods and tools and then investigating the reasons why the estimates provided by one might differ significantly from those provided by another.” B.Boehm and C. Abt Software Development Cost Estimation Approaches – A Survey