Effort estimation using analogy
Proceedings of the 18th international conference on Software engineering
Software Engineering Economics
Software Engineering Economics
A Comparative Study of Cost Estimation Models for Web Hypermedia Applications
Empirical Software Engineering
Cross versus Within-Company Cost Estimation Studies: A Systematic Review
IEEE Transactions on Software Engineering
A study of project selection and feature weighting for analogy based software cost estimation
Journal of Systems and Software
On the relative value of cross-company and within-company data for defect prediction
Empirical Software Engineering
An investigation on the feasibility of cross-project defect prediction
Automated Software Engineering
On the dataset shift problem in software engineering prediction models
Empirical Software Engineering
Special issue on repeatable results in software engineering prediction
Empirical Software Engineering
Local vs. global models for effort estimation and defect prediction
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Privacy and utility for defect prediction: experiments with MORPH
Proceedings of the 34th International Conference on Software Engineering
Web effort estimation: the value of cross-company data set compared to single-company data set
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Can cross-company data improve performance in software effort estimation?
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Size doesn't matter?: on the value of software size features for effort estimation
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Automated trendline generation for accurate software effort estimation
Proceedings of the 3rd annual conference on Systems, programming, and applications: software for humanity
Better cross company defect prediction
Proceedings of the 10th Working Conference on Mining Software Repositories
Building a second opinion: learning cross-company data
Proceedings of the 9th International Conference on Predictive Models in Software Engineering
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Collecting the data required for quality prediction within a development team is time-consuming and expensive. An alternative to make predictions using data that crosses from other projects or even other companies. We show that with/without relevancy filtering, imported data performs the same/worse (respectively) than using local data. Therefore, we recommend the use of relevancy filtering whenever generating estimates using data from another project.