PROMISE 2010: Timisoara, Romania
Tim Menzies, Gunes Koru (Eds.): Proceedings of the 6th International Conference on Predictive Models in Software Engineering, PROMISE 2010, Timisoara, Romania, September 12-13, 2010. ACM 2010 ISBN 978-1-4503-0404-7
Keynote
- Mark Harman: The relationship between search based software engineering and predictive modeling. 1
Search-based software engineering
- Gregory Gay: A baseline method for search-based software engineering. 2
- Adam Brady, Tim Menzies: Case-based reasoning vs parametric models for software quality optimization. 3
Search-based software engineering & methodology
- Anna Corazza, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro, Emilia Mendes: How effective is Tabu search to configure support vector regression for effort estimation? 4
- Thilo Mende: Replication of defect prediction studies: problems, pitfalls and recommendations. 5
Effort estimation
- Luigi Lavazza, Gabriela Robiolo: The role of the measure of functional complexity in effort estimation. 6
- Nikolaos Mittas, Makrina Viola Kosti, Vasiliki Argyropoulou, Lefteris Angelis: Modeling the relationship between software effort and size using deming regression. 7
Categorization for defect prediction I
- Bora Caglayan, Ayse Tosun, Andriy V. Miranskyy, Ayse Basar Bener, Nuzio Ruffolo: Usage of multiple prediction models based on defect categories. 8
- Marian Jureczko, Lech Madeyski: Towards identifying software project clusters with regard to defect prediction. 9
Testing & quality
- Gul Calikli, Ayse Basar Bener: Empirical analyses of the factors affecting confirmation bias and the effects of confirmation bias on software developer/tester performance. 10
- Burak Turhan, Çetin Meriçli, Tekin Meriçli: Better, faster, and cheaper: what is better software? 11
Operational profile & data quality
- Rui Abreu, Alberto González-Sanchez, Arjan J. C. van Gemund: Exploiting count spectra for Bayesian fault localization. 12
- Marta Fernández-Diego, Mónica Martínez-Gómez, José-María Torralba-Martínez: Sensitivity of results to different data quality meta-data criteria in the sample selection of projects from the ISBSG dataset. 13
Categorization for defect prediction II
- Hongyu Zhang, Adam Nelson, Tim Menzies: On the value of learning from defect dense components for software defect prediction. 14
- Youngki Hong, Wondae Kim, Jeongsoo Joo: Prediction of defect distribution based on project characteristics for proactive project management. 15
Cost modeling
- Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wolfgang Rosenstiel: Defect cost flow model: a Bayesian network for predicting defect correction effort. 16
- Ralf Gitzel, Simone Krug, Manuel Brhel: Towards a software failure cost impact model for the customer: an analysis of an open source product. 17
Developer-based fault prediction
- Shinsuke Matsumoto, Yasutaka Kamei, Akito Monden, Ken-ichi Matsumoto, Masahide Nakamura: An analysis of developer metrics for fault prediction. 18
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last updated on 2013-06-18T211851 by the dblp team