An empirical validation of software cost estimation models
Communications of the ACM
Software engineering metrics and models
Software engineering metrics and models
Calibrating estimation tools for software development
Software Engineering Journal
Structural analysis of hypertexts: identifying hierarchies and useful metrics
ACM Transactions on Information Systems (TOIS)
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
The Unified Modeling Language user guide
The Unified Modeling Language user guide
An assessment and comparison of common software cost estimation modeling techniques
Proceedings of the 21st international conference on Software engineering
A Controlled Experiment to Assess the Benefits of Estimating with Analogy and Regression Models
IEEE Transactions on Software Engineering
A replicated assessment and comparison of common software cost modeling techniques
Proceedings of the 22nd international conference on Software engineering
Comparing Software Prediction Techniques Using Simulation
IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
A comparison of case-based reasoning approaches
Proceedings of the 11th international conference on World Wide Web
A Discipline for Software Engineering
A Discipline for Software Engineering
Software Engineering Economics
Software Engineering Economics
An Empirical Study of Analogy-based Software Effort Estimation
Empirical Software Engineering
A Simulation Tool for Efficient Analogy Based Cost Estimation
Empirical Software Engineering
Web Metrics Estimating Design and Authoring Effort
IEEE MultiMedia
IEEE Software
Web Development: Estimating Quick-to-Market Software
IEEE Software
Lessons in Agility From Internet-Based Development
IEEE Software
A Further Empirical Investigation of the Relationship Between MRE and Project Size
Empirical Software Engineering
A Comparative Study of Cost Estimation Models for Web Hypermedia Applications
Empirical Software Engineering
An Average-Case Analysis of k-Nearest Neighbor Classifier
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Measurement and Effort Prediction for Web Applications
Web Engineering, Software Engineering and Web Application Development
A Metrics Framework for Multimedia Creation
METRICS '98 Proceedings of the 5th International Symposium on Software Metrics
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
Using Public Domain Metrics To Estimate Software Development Effort
METRICS '01 Proceedings of the 7th International Symposium on Software Metrics
A General Empirical Solution to the Macro Software Sizing and Estimating Problem
IEEE Transactions on Software Engineering
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Over the last 16 years, and particularly over the last 8 years, Analogy-based effort estimation has been used to estimate effort for software projects and in several studies has presented comparable estimation accuracy to, or better than, algorithmic methods. The Analogy technique is also potentially easier to understand and apply by both researchers and practitioners. These two factors suggest that this technique has great potential as an effort estimation technique to be used within Companies. However, there are still several challenges, in particular regarding the type of effort adaptation to use in order to obtain the highest prediction accuracy, that need further investigation. Therefore this paper compares several methods of Analogy-based effort estimation and investigates the use of adaptation rules as a contributing factor to better estimation accuracy. Two datasets are used in the analysis; results show that the best predictions are obtained for the dataset that first, presents a continuous "cost" function, translated as a strong linear relationship between size and effort, and second, is more "intact" in terms of outliers and collinearity. Only one of the two types of adaptation rules employed generated good predictions.