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ORCIDPROMISE 2015: Beijing, China
- Ayse Bener, Leandro L. Minku, Burak Turhan:
Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015, Beijing, China, October 21, 2015. ACM 2015, ISBN 978-1-4503-3715-1
Data Sets
- Marco Ortu
, Giuseppe Destefanis, Bram Adams, Alessandro Murgia, Michele Marchesi, Roberto Tonelli:
The JIRA Repository Dataset: Understanding Social Aspects of Software Development. 1:1-1:4 - Matteo Orrù, Ewan D. Tempero, Michele Marchesi, Roberto Tonelli, Giuseppe Destefanis:
A Curated Benchmark Collection of Python Systems for Empirical Studies on Software Engineering. 2:1-2:4
Defect- and Crash-Proneness Prediction
- David Bowes, Tracy Hall, Jean Petric:
Different Classifiers Find Different Defects Although With Different Level of Consistency. 3:1-3:10 - Zaheed Mahmood, David Bowes, Peter C. R. Lane, Tracy Hall:
What is the Impact of Imbalance on Software Defect Prediction Performance? 4:1-4:4 - Le An, Foutse Khomh:
An Empirical Study of Crash-inducing Commits in Mozilla Firefox. 5:1-5:10
Effort, Value and Code Smell Prediction
- Sousuke Amasaki, Chris Lokan:
A Replication of Comparative Study of Moving Windows on Linear Regression and Estimation by Analogy. 6:1-6:10 - Emilia Mendes, Burak Turhan, Pilar Rodríguez, Vitor Freitas:
Estimating the Value of Decisions Relating to Managing and Developing Software-intensive Products and Projects. 7:1-7:4 - Sofia Charalampidou, Apostolos Ampatzoglou, Paris Avgeriou:
Size and cohesion metrics as indicators of the long method bad smell: An empirical study. 8:1-8:10
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