Robust regression for developing software estimation models

Function Points Analysis: An Empirical Study of Its Measurement Processes

IEEE Transactions on Software Engineering

Issues in calibrating effort estimation models

ACM SIGSOFT Software Engineering Notes

Software Cost Estimation with Incomplete Data

IEEE Transactions on Software Engineering

Software Metrics Data Analysis—Exploring the RelativePerformance of Some Commonly Used Modeling Techniques

Empirical Software Engineering

A Simulation Study of the Model Evaluation Criterion MMRE

IEEE Transactions on Software Engineering

Regression Models of Software Development Effort Estimation Accuracy and Bias

Empirical Software Engineering

Reliability and Validity in Comparative Studies of Software Prediction Models

IEEE Transactions on Software Engineering

Using industry based data sets in software engineering research

Proceedings of the 2006 international workshop on Summit on software engineering education

Outlier elimination in construction of software metric models

Proceedings of the 2007 ACM symposium on Applied computing

Software project economics: a roadmap

FOSE '07 2007 Future of Software Engineering

A study of project selection and feature weighting for analogy based software cost estimation

Journal of Systems and Software

Selection of strategies in judgment-based effort estimation

Journal of Systems and Software

Adaptive ridge regression system for software cost estimating on multi-collinear datasets

Journal of Systems and Software

Modeling the relationship between software effort and size using deming regression

Proceedings of the 6th International Conference on Predictive Models in Software Engineering

A comparative study for estimating software development effort intervals

Software Quality Control

An empirical evaluation of outlier deletion methods for analogy-based cost estimation

Proceedings of the 7th International Conference on Predictive Models in Software Engineering

Validity and reliability of evaluation procedures in comparative studies of effort prediction models

Empirical Software Engineering

A permutation test based on regression error characteristic curves for software cost estimation models

Empirical Software Engineering

Computational intelligence in software cost estimation: an emerging paradigm

ACM SIGSOFT Software Engineering Notes

Single and Multi Objective Genetic Programming for software development effort estimation

Proceedings of the 27th Annual ACM Symposium on Applied Computing

Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach

Applied Soft Computing

Knowledge transfer in system modeling and its realization through an optimal allocation of information granularity

Applied Soft Computing

Better sure than safe? Over-confidence in judgement based software development effort prediction intervals

Journal of Systems and Software

Interpretation problems related to the use of regression models to decide on economy of scale in software development

Journal of Systems and Software

Handling categorical variables in effort estimation

Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement

Functional Link Artificial Neural Networks for Software Cost Estimation

International Journal of Applied Evolutionary Computation

How to treat timing information for software effort estimation?

Proceedings of the 2013 International Conference on Software and System Process

Software effort models should be assessed via leave-one-out validation

Journal of Systems and Software

Revisiting software development effort estimation based on early phase development activities

Proceedings of the 10th Working Conference on Mining Software Repositories

Linear combination of multiple case-based reasoning with optimized weight for software effort estimation

The Journal of Supercomputing

On the value of outlier elimination on software effort estimation research

Empirical Software Engineering

AREION: Software effort estimation based on multiple regressions with adaptive recursive data partitioning

Information and Software Technology

Finding conclusion stability for selecting the best effort predictor in software effort estimation

Automated Software Engineering