Program

Sunday

Keynote 9-10am

How SBSE can Support Construction and Analysis of Predictive Models
Prof. Mark Harman, Department of Computer Science at King's College London.

Session 1) 10:15 - 11:15am Search-Based Software Engineering
Session Chair: Mark Harman

• Rui Abreu and Arjan van Gemund. Exploiting Count Spectra for Bayesian Fault Localization
• Adam Brady and Tim Menzies. Case-Based Reasoning vs. Parametric Models for Software Quality Optimization

Session 2) 11:30 - 12:30 Search-Based Software Engineering & Methodology
Session Chair: Tim Menzies

• BEST PAPER AWARD: Anna Corazza, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro and Emilia Mendes. How Effective is Tabu Search to Configure Support Vector Regression for Effort Estimation?
• Thilo Mende. Replication of Defect Prediction Studies: Problems, Pitfalls and Recommendations

LUNCH

Session 3) 2:00 - 3:00 Methodology
Session Chair: Tom Ostrand

• Panel & Discussion: "Is Replication a Bad Idea?".
  • Panelists: Tim Menzies, Ayse Benar, Mark Harman>
  • Read their position statements

Session 4) 3:15 - 4:15 Effort Estimation
Session Chair: Ayse Bener

• Luigi Lavazza and Gabriela Robiolo. The Role of the Measure of Functional Complexity in Effort Estimation
• Nikolaos Mittas, Makrina Viola Kosti, Vasiliki Argyropoulou, and Lefteris Angelis. Modeling the Relationship between Software Effort and Size Using Deming Regression

Session 5) 4:30 - 5:30 Categorization for Defect Prediction
Session Chair: Burak Turhan

• Bora Caglayan, Ayse Tosun, Andriy Miranskyy, Ayse Bener and Nuzio Ruffolo. Usage of Multiple Prediction Models Based On Defect Categories
• Marian Jureczko and Lech Madeyski. Towards identifying software project categories with regard to defect prediction

CONFERENCE DINNER: TBD

Monday

Keynote 9-10am

Overcoming scale and privacy issues in industrial software studies and repositories
Dr. Judith Bishop, Director of Computer Science, External Research, Microsoft.

Session 6) 10:15 - 11:15am Testing & Quality
Session Chair: Tom Ostrand

• Gul Calikli and Ayse Bener. Empirical Analyses of the Factors Affecting Confirmation Bias and the Effects of Confirmation Bias on Software Developer/Tester Performance
• Burak Turhan, Cetin Mericli and Tekin Mericli. Better, Faster and Cheaper: What is Better Software?

Session 7) 11:30 - 12:30 SBSE & Data Quality
Session Chair: Tim Menzies

• Gregory Gay. A Baseline Method For Search-Based Software Engineering
• Marta Fernandez-Diego, Monica Martinez-Gomez and Jose-Maroa Torralba-Martinez. Sensitivity of results to different data quality meta-data criteria in the sample selection of projects from the ISBSG dataset

LUNCH

Session 8) 2:00 - 3:00 Categorization for Defect Prediction
Session Chair: Burak Turhan

• Hongyu Zhang, Adam Nelson and Tim Menzies. On the Value of Learning From Highly-Dense Components for Software Defect Prediction
• Youngki Hong, Wondae Kim, Jeongsoo Joo. Prediction of Defect Distribution based on Project Characteristics for Proactive Project Management

Session 9) 3:15 - 4:15 Cost modeling
Session Chair: Tim Menzies

• Thomas Schulz, Rukasz Radlinski, Thomas Gorges and Wolfgang Rosenstiel. Defect Cost Flow Model- A Bayesian Network for Predicting Defect Correction Costs
• Ralf Gitzel, Simone Krug and Manuel Brhel. Towards A Software Failure Cost Impact Model for the Custome

Session 10) 4:30 - 5:30 Developer-based Fault Prediction
Session Chair: Ayse Bener

• Shinsuke Matsumoto, Yasutaka Kamei, Akito Monden, Kenichi Matsumoto and Masahide Nakamura. An Analysis of Developer Metrics for Fault Prediction
• Thomas Ostrand, Robert Bell and Elaine Weyuker. Programmer-based fault prediction