An empirical validation of software cost estimation models
Communications of the ACM
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
Software Engineering Economics
Software Engineering Economics
An Enhanced Neural Network Technique for Software Risk Analysis
IEEE Transactions on Software Engineering
A Comparative Study of Cost Estimation Models for Web Hypermedia Applications
Empirical Software Engineering
Multi-Block PCA Method for Image Change Detection
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
ISESE '04 Proceedings of the 2004 International Symposium on Empirical Software Engineering
Finding the Right Data for Software Cost Modeling
IEEE Software
Optimal Project Feature Weights in Analogy-Based Cost Estimation: Improvement and Limitations
IEEE Transactions on Software Engineering
Effort estimation modeling techniques: a case study for web applications
ICWE '06 Proceedings of the 6th international conference on Web engineering
A comparative study of attribute weighting heuristics for effort estimation by analogy
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
The adjusted analogy-based software effort estimation based on similarity distances
Journal of Systems and Software
A flexible method for software effort estimation by analogy
Empirical Software Engineering
Selecting Best Practices for Effort Estimation
IEEE Transactions on Software Engineering
Decision Support Analysis for Software Effort Estimation by Analogy
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
Evaluation of Feature Extraction Methods on Software Cost Estimation
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
IEEE Transactions on Software Engineering
Improving analogy software effort estimation using fuzzy feature subset selection algorithm
Proceedings of the 4th international workshop on Predictor models in software engineering
A review of studies on expert estimation of software development effort
Journal of Systems and Software
Tuning metaheuristics: A data mining based approach for particle swarm optimization
Expert Systems with Applications: An International Journal
An empirical evaluation of outlier deletion methods for analogy-based cost estimation
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
Functional Link Artificial Neural Networks for Software Cost Estimation
International Journal of Applied Evolutionary Computation
Hi-index | 12.05 |
Software cost estimation is one of the critical tasks in project management. In a highly demanding and competitive market environment, software project managers need robust models and methodologies to accurately predict the cost of a new project. Analogy-based cost estimation is one of the widely used models that rely on historical project data. It checks the similarity of features between past and current projects, and it approximates current project cost from past ones. One shortcoming of analogy-based cost estimation is that it assumes all project features as equal. However, these features may have different impacts on project cost based on their relevance. In this research, we present two feature weight assignment heuristics for cost estimation. We assign weights to the project features by benefiting from a statistical technique, namely principal components analysis (PCA) that is used for extracting optimal linear patterns of high dimensional data. We test our proposed heuristics on public datasets and conclude that the prediction performance in terms of MMRE and Pred(25) increases with a statistical-based assignment technique rather than random assignment approach.