An empirical validation of software cost estimation models
Communications of the ACM
Calibrating the COCOMO II post-architecture model
Proceedings of the 20th international conference on Software engineering
Bayesian Analysis of Empirical Software Engineering Cost Models
IEEE Transactions on Software Engineering
Software cost estimation with fuzzy models
ACM SIGAPP Applied Computing Review
Software Engineering Economics
Software Engineering Economics
A meta-model for software development resource expenditures
ICSE '81 Proceedings of the 5th international conference on Software engineering
Software Cost Estimation: an experimental study of model performances
Software Cost Estimation: an experimental study of model performances
COCOMO-Based Effort Estimation for Iterative and Incremental Software Development
Software Quality Control
Validation methods for calibrating software effort models
Proceedings of the 27th international conference on Software engineering
Software Measurement and Estimation: A Practical Approach (Quantitative Software Engineering Series)
Software Measurement and Estimation: A Practical Approach (Quantitative Software Engineering Series)
Handbook of Research on Fuzzy Information Processing in Databases
Handbook of Research on Fuzzy Information Processing in Databases
Software maintainability assessment based on fuzzy logic technique
ACM SIGSOFT Software Engineering Notes
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Hi-index | 0.00 |
Effective Software cost estimation is one of the most challenging and important activities in Software development. The software industry does not estimate projects well. In this paper we have represented size in KLOC as a Fuzzy number. A new model is presented using fuzzy logic to estimate effort required in software development. We use MATLAB for tuning the parameters of famous COCOMO model. The performance of model is evaluated on published software projects data. Comparison of results from our model with existing prevalent models is done.