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ORCIDPROMISE 2009: Vancouver, BC, Canada
- Thomas J. Ostrand:
Proceedings of the 5th International Workshop on Predictive Models in Software Engineering, PROMISE 2009, Vancouver, BC, Canada, May 18-19, 2009. ACM 2009, ISBN 978-1-60558-634-2
Keynote
- Barry W. Boehm:
Future challenges for software data collection and analysis. 1
Experimental process
- Tim Menzies, Oussama El-Rawas, Jairus Hihn, Barry W. Boehm:
Can we build software faster and better and cheaper? 2 - Yu Fu, Akif Günes Koru, Zhiyuan Chen, Khaled El Emam:
A tree-based approach to preserve the privacy of software engineering data and predictive models. 3 - Barbara A. Kitchenham
, Emilia Mendes:
Why comparative effort prediction studies may be invalid. 4
Defect prediction
- Ayse Tosun, Burak Turhan, Ayse Basar Bener:
Validation of network measures as indicators of defective modules in software systems. 5 - Stefan Wagner:
A Bayesian network approach to assess and predict software quality using activity-based quality models. 6 - Thilo Mende, Rainer Koschke:
Revisiting the evaluation of defect prediction models. 7
Effort estimation
- Mohammad Azzeh, Daniel Neagu, Peter I. Cowling:
Software effort estimation based on weighted fuzzy grey relational analysis. 8 - Luigi Lavazza:
Convertibility of functional size measurements: new insights and methodological issues. 9
Industry
- Ayse Tosun, Burak Turhan, Ayse Basar Bener:
Practical considerations in deploying AI for defect prediction: a case study within the Turkish telecommunication industry. 11
Machine learning
- Bernd Bruegge, Jörn David, Jonas Helming, Maximilian Koegel:
Classification of tasks using machine learning. 12 - James H. Andrews, Tim Menzies:
On the value of combining feature subset selection with genetic algorithms: faster learning of coverage models. 13
Invited presentation
- Gary D. Boetticher:
From software engineer to day trader in 3 easy steps: a comparison of software engineering (SE) data mining with financial data mining. 14
Repeatability and open source
- Gregory Gay, Tim Menzies, Bojan Cukic, Burak Turhan:
How to build repeatable experiments. 15 - Justin M. Beaver, Xiaohui Cui, Jesse St. Charles, Thomas E. Potok:
Modeling success in FLOSS project groups. 16 - Michael English, Chris Exton, Irene Rigon, Brendan Cleary:
Fault detection and prediction in an open-source software project. 17
Modeling
- Salvatore Alessandro Sarcià, Victor R. Basili, Giovanni Cantone:
Using uncertainty as a model selection and comparison criterion. 18 - Sandro Morasca:
Building statistically significant robust regression models in empirical software engineering. 19 - Yue Jiang, Bojan Cukic:
Misclassification cost-sensitive fault prediction models. 20
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