Robust regression for developing software estimation models
Journal of Systems and Software
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
An assessment and comparison of common software cost estimation modeling techniques
Proceedings of the 21st international conference on Software engineering
A replicated assessment and comparison of common software cost modeling techniques
Proceedings of the 22nd international conference on Software engineering
Empirical Data Modeling in Software Engineering Using Radial Basis Functions
IEEE Transactions on Software Engineering
Comparing Software Prediction Techniques Using Simulation
IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Software Engineering Economics
Software Engineering Economics
Estimating Software Project Effort by Analogy Based on Linguistic Values
METRICS '02 Proceedings of the 8th International Symposium on Software Metrics
Five Core Metrics: Intelligence behind Successful Software Management
Five Core Metrics: Intelligence behind Successful Software Management
Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems
A software project dynamics model for process cost, schedule and risk assessment
A software project dynamics model for process cost, schedule and risk assessment
Combining techniques to optimize effort predictions in software project management
Journal of Systems and Software
Class Point: An Approach for the Size Estimation of Object-Oriented Systems
IEEE Transactions on Software Engineering
Investigating Web size metrics for early Web cost estimation
Journal of Systems and Software
Optimal Project Feature Weights in Analogy-Based Cost Estimation: Improvement and Limitations
IEEE Transactions on Software Engineering
Improving the COCOMO model using a neuro-fuzzy approach
Applied Soft Computing
Is there a need for fuzzy logic?
Information Sciences: an International Journal
The IT Measurement Compendium: Estimating and Benchmarking Success with Functional Size Measurement
The IT Measurement Compendium: Estimating and Benchmarking Success with Functional Size Measurement
Information and Software Technology
A study of project selection and feature weighting for analogy based software cost estimation
Journal of Systems and Software
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction
Generalized theory of uncertainty (GTU)-principal concepts and ideas
Computational Statistics & Data Analysis
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
A successful interdisciplinary course on computational intelligence
IEEE Computational Intelligence Magazine
Research frontier: memetic computation-past, present & future
IEEE Computational Intelligence Magazine
ICST '10 Proceedings of the 2010 Third International Conference on Software Testing, Verification and Validation
A review of studies on expert estimation of software development effort
Journal of Systems and Software
The work breakdown structure in software project management
Journal of Systems and Software
A survey of computational intelligence approaches for software reliability prediction
ACM SIGSOFT Software Engineering Notes
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One of the key features for the failure of project estimation techniques is the selection of inappropriate estimation models. Further, noisy data poses a challenge to build accurate estimation models. Therefore, the software cost estimation (SCE) is a challenging problem that has attracted many researchers over the past few decades. In the recent times,the use of computational intelligence methodologies for software cost estimation have gained prominence. This paper reviews some of the commonly used computational intelligence (CI) techniques and analyzes their application in software cost estimation and outlines the emerging trends in this area