Software engineering metrics and models
Software engineering metrics and models
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Machine Learning Approaches to Estimating Software Development Effort
IEEE Transactions on Software Engineering
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Calibrating the COCOMO II post-architecture model
Proceedings of the 20th international conference on Software engineering
Software cost estimation with fuzzy models
ACM SIGAPP Applied Computing Review
Software Cost Estimation with Incomplete Data
IEEE Transactions on Software Engineering
Software Engineering Economics
Software Engineering Economics
Combination of software development effort prediction intervals: why, when and how?
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
A Function Point-Like Measure for Object-Oriented Software
Empirical Software Engineering
Search Heuristics, Case-based Reasoning And Software Project Effort Prediction
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Building A Software Cost Estimation Model Based On Categorical Data
METRICS '01 Proceedings of the 7th International Symposium on Software Metrics
Bayesian analysis of software cost and quality models
Bayesian analysis of software cost and quality models
A Simulation Study of the Model Evaluation Criterion MMRE
IEEE Transactions on Software Engineering
Class Point: An Approach for the Size Estimation of Object-Oriented Systems
IEEE Transactions on Software Engineering
A General Empirical Solution to the Macro Software Sizing and Estimating Problem
IEEE Transactions on Software Engineering
Can Cohesion Predict Fault Density?
AICCSA '06 Proceedings of the IEEE International Conference on Computer Systems and Applications
A method of programming measurement and estimation
IBM Systems Journal
Information and Software Technology
Fuzzy Emotional COCOMO II Software Cost Estimation (FECSCE) using Multi-Agent Systems
Applied Soft Computing
Assessment of uncertainty in the projective tree test using an ANFIS learning approach
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Computational intelligence in software cost estimation: an emerging paradigm
ACM SIGSOFT Software Engineering Notes
Probabilistic size proxy for software effort prediction: A framework
Information and Software Technology
A model to detect problems on scrum-based software development projects
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Information and Software Technology
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Traditional approaches for software projects effort prediction such as the use of mathematical formulae derived from historical data, or the use of experts judgments are plagued with issues pertaining to effectiveness and robustness in their results. These issues are more pronounced when these effort prediction approaches are used during the early phases of the software development lifecycle, for example requirements development, whose effort predictors along with their relationships to effort are characterized as being even more imprecise and uncertain than those of later development phases, for example design. Recent works have demonstrated promising results using approaches based on fuzzy logic. Effort prediction systems that use fuzzy logic can deal with imprecision; they, however, can not deal with uncertainty. This paper presents an effort prediction framework that is based on type-2 fuzzy logic to allow handling imprecision and uncertainty inherent in the information available for effort prediction. Evaluation experiments have shown the framework to be promising.