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
Thomas J. Ostrand, Elaine J. Weyuker, Robert M. Bell:
Programmer-based fault prediction. 19

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