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12. PROMISE 2016: Ciudad Real, Spain

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Proceedings of the The 12th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2016, Ciudad Real, Spain, September 9, 2016. ACM 2016, ISBN 978-1-4503-4772-3
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Jil Klünder, Oliver Karras, Fabian Kortum, Kurt Schneider:
Forecasting Communication Behavior in Student Software Projects. 1:1-1:8
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Simone Porru, Alessandro Murgia, Serge Demeyer, Michele Marchesi, Roberto Tonelli:
Estimating Story Points from Issue Reports. 2:1-2:10
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Seyedrebvar Hosseini, Burak Turhan, Mika Mäntylä:
Search Based Training Data Selection For Cross Project Defect Prediction. 3:1-3:10
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Leandro L. Minku:
On the Terms Within- and Cross-Company in Software Effort Estimation. 4:1-4:4
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Qing Mi, Jacky Keung, Yang Yu:
Measuring the Stylistic Inconsistency in Software Projects using Hierarchical Agglomerative Clustering. 5:1-5:10
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Luigi Lavazza, Sandro Morasca:
An Empirical Evaluation of Distribution-based Thresholds for Internal Software Measures. 6:1-6:10
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Gernot Armin Liebchen, Martin J. Shepperd:
Data Sets and Data Quality in Software Engineering: Eight Years On. 7:1-7:4
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Verena Honsel, Steffen Herbold, Jens Grabowski:
Hidden Markov Models for the Prediction of Developer Involvement Dynamics and Workload. 8:1-8:10
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Hudson Borges, André C. Hora, Marco Túlio Valente:
Predicting the Popularity of GitHub Repositories. 9:1-9:10
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István Kádár, Péter Hegedüs, Rudolf Ferenc, Tibor Gyimóthy:
A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. 10:1-10:4

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