Comparing Software Prediction Techniques Using Simulation
IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
Effort estimation for corrective software maintenance
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
Integrating Outsourcing in the Maintenance Process
Information Technology and Management
Issues on the Effective Use of CBR Technology for Software Project Prediction
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Perspectives on Improving Software Maintenance
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
Assessing Massive Maintenance Processes: An Empirical Study
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
Journal of Systems and Software
Surveying the factors that influence maintainability: research design
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
Time-line based model for software project scheduling with genetic algorithms
Information and Software Technology
Software testing sizing in incremental development: A case study
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Selection of strategies in judgment-based effort estimation
Journal of Systems and Software
Rank-based refactoring decision support: two studies
Innovations in Systems and Software Engineering
A review of studies on expert estimation of software development effort
Journal of Systems and Software
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Function Point Analysis (FPA) is a well-known method to measure the functionality of a system, from the user's point of view. Both Albrecht's original model and a local variant we studied assume that effort is primarily related to the size of a change. Analysis of data gathered on a major system over a period of 18 months does not confirm this relation. Rather, our data suggests that the size of the component to be changed has a much larger impact on effort than the size of the change itself. Furthermore, the various corrective factors of the function point model do not help to improve effort estimates in the environment we studied. Finally, we found that expert estimates outperform the function point estimates, while analogy-based estimates slightly outperform the expert estimates.