Software engineering metrics and models
Software engineering metrics and models
The role of experimentation in software engineering: past, current, and future
Proceedings of the 18th international conference on Software engineering
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
A Validation of the Component-Based Method for Software Size Estimation
IEEE Transactions on Software Engineering - special section on current trends in exception handling—part II
Preliminary guidelines for empirical research in software engineering
IEEE Transactions on Software Engineering
A meta-model for software development resource expenditures
ICSE '81 Proceedings of the 5th international conference on Software engineering
A Simulation Study of the Model Evaluation Criterion MMRE
IEEE Transactions on Software Engineering
Metrics Are Fitness Functions Too
METRICS '04 Proceedings of the Software Metrics, 10th International Symposium
Further Comparison of Cross-Company and Within-Company Effort Estimation Models for Web Applications
METRICS '04 Proceedings of the Software Metrics, 10th International Symposium
Investigating Web size metrics for early Web cost estimation
Journal of Systems and Software
The adjusted analogy-based software effort estimation based on similarity distances
Journal of Systems and Software
The Current State and Future of Search Based Software Engineering
FOSE '07 2007 Future of Software Engineering
Systematic review: A systematic review of effect size in software engineering experiments
Information and Software Technology
Proceedings of the 2008 ACM symposium on Applied computing
A study of project selection and feature weighting for analogy based software cost estimation
Journal of Systems and Software
Software project effort estimation with voting rules
Decision Support Systems
Why comparative effort prediction studies may be invalid
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Using Tabu Search to Estimate Software Development Effort
IWSM '09 /Mensura '09 Proceedings of the International Conferences on Software Process and Product Measurement
Using genetic programming to improve software effort estimation based on general data sets
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
How effective is Tabu search to configure support vector regression for effort estimation?
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Investigating Tabu Search for Web Effort Estimation
SEAA '10 Proceedings of the 2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications
Genetic Programming for Effort Estimation: An Analysis of the Impact of Different Fitness Functions
SSBSE '10 Proceedings of the 2nd International Symposium on Search Based Software Engineering
Investigating the use of Support Vector Regression for web effort estimation
Empirical Software Engineering
Proceedings of the 33rd International Conference on Software Engineering
A review of studies on expert estimation of software development effort
Journal of Systems and Software
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In the last years the use of Search-Based techniques has been suggested to estimate software development effort. These techniques are meta-heuristics able to find optimal or near optimal solutions to problems characterized by large space. In the context of effort estimation Search-Based approaches can be exploited to build estimation models or to enhance the effectiveness of other methods. The preliminary investigations carried out so far have provided promising results. Nevertheless, the capabilities of these approaches have not been fully explored and the empirical analyses carried out so far have not considered the more recent recommendations on how to perform this kind of empirical assessment in the effort estimation context and in Search-Based Software Engineering. The main aim of the PhD dissertation is to provide an insight on the use of Search-Based techniques for effort estimation trying to highlight strengths and weaknesses.