Why is Software Late? An Empirical Study of Reasons for Delay in Software Development
IEEE Transactions on Software Engineering
Fuzzy integral in multicriteria decision making
Fuzzy Sets and Systems - Special issue on fuzzy information processing
k-order additive discrete fuzzy measures and their representation
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
Alternative representations of discrete fuzzy measures for decision making
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Special issue on fuzzy measures and integrals in subjective evaluation
Optimization issues for fuzzy measures
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - A special issue on fuzzy measures
IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
An empirical study of maintenance and development estimation accuracy
Journal of Systems and Software
Combining techniques to optimize effort predictions in software project management
Journal of Systems and Software
Group Processes in Software Effort Estimation
Empirical Software Engineering
A Comparison of Software Project Overruns-Flexible versus Sequential Development Models
IEEE Transactions on Software Engineering
A Guide To The Project Management Body Of Knowledge (PMBOK Guides)
A Guide To The Project Management Body Of Knowledge (PMBOK Guides)
Infotopia: How Many Minds Produce Knowledge
Infotopia: How Many Minds Produce Knowledge
Towards an aggregation performance measurement system model in a supply chain context
Computers in Industry
Aggregation Functions (Encyclopedia of Mathematics and its Applications)
Aggregation Functions (Encyclopedia of Mathematics and its Applications)
Prediction of overoptimistic predictions
EASE'06 Proceedings of the 10th international conference on Evaluation and Assessment in Software Engineering
A characterization of the 2-additive Choquet integral through cardinal information
Fuzzy Sets and Systems
A review of studies on expert estimation of software development effort
Journal of Systems and Software
Hi-index | 12.05 |
We investigate the group processes involved in effort estimation in the context of project management. The groups considered are formed by ''experts'' (people with specific technical competence) and ''non-experts'' (people with less specific technical competence, usually experts in related fields), because the typically complementary bias of the two classes contribute to a more balanced estimate. In this paper we exploit further the synergies between experts and non-experts in an MCDM framework, aggregating the individual estimates by means of non-additive Choquet integration, and representing the complementary bias by the multiagent interaction structure underlying the capacity. We present some examples and computer simulations whose aggregation results outperform those of the classical weighted mean (additive case), showing lower MMRE (mean magnitude of the relative error between the central estimate and the actual value) and higher HitRate (at which the interval estimate contains the actual value).