Program
Download the program:
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Day 1 : Monday May 18, 2009
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09:00 : Welcome/Introduction
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09:30 : Keynote 1: Barry Boehm
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Future Challenges for Software Data Collection and Analysis
DOWNLOAD: [ppt
| pdf]
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Prof. Barry W. Boehm is the
TRW Professor of Software Engineering and Director, Center for Software Engineering, University of Southern California.
- His current research interests focus on value-based software engineering, including a method for integrating a software system's process models, product models,
and
success models.
His contributions to the field include the Constructive Cost Model (COCOMO), the Spiral Model of the software process, the Theory W (win-win) approach to software management and requirements determination and foundational work
in the area of software risk management and software quality factor analysis.
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10:30 : Break
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11:00 : Session 1: Experimental Process
- 11:00 : Can We Build Software Faster and Better and Cheaper?
[PDF]
Tim Menzies, Ousama Elwaras, Jairus Hihn and Barry Boehm
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11:30 : A Tree-Based Approach to Preserve Privacy of Software Engineering
Data and Predictive Models
[PDF]
Yu Fu, A. Gunes Koru, Zhiyuan Chen and Khaled El Emam
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12:00 : Why Data Mining Studies may be Invalid
[PDF]
Barbara Kitchenham and Emilia Mendes
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12:30 : Lunch
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14:00 : Session 2: Defect Prediction
- 14:00 : Validation of Network Measures as Indicators of Defective Modules
in Software Systems
[PDF]
Ayse Tosun, Burak Turhan and Ayse Bener
- 14:30 : A Bayesian Network Approach to Assess and Predict Software Quality
Using Activity-Based Quality Models
[PDF]
Stefan Wagner
- 15:00 : Revisiting the Evaluation of Defect Prediction Models
[PDF]
Thilo Mende and Rainer Koschke
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15:30 : Break
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16:00 : Session 3: Effort Estimation
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16:00 : Software Effort Estimation Based on Weighted Fuzzy Grey Relational
Analysis
[PDF]
Mohammad Azzeh, Daniel Neagu and Peter Cowling.
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16:30 : Making Functional Similarity Count for More Reliable Effort
Prediction Mode
Ozden Ozcan Top, Onur Demirors and Oktay Turetken
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17:00 : Convertibility of Functional Size Measurements: New Insights and
Methodological Issues
[PDF]
Luigi Lavazza
Dinner, Monday night
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when: 7:00 P.M. (in the name of Promises 09)
where: AQUA RIVA: 200 Granville Street, Vancouver, BC
Cost: free (with registration) and you can buy alcohol from a cash bar.
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Day 2 : Tuesday, May 19, 2009
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09:00 : Keynote 2: Brendan Murphy
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"Developing accurate risk models requires mathematics, domain
knowledge and common sense, although not necessarily in that order?"
Brendan Murphy is a
Senior Researcher at Microsoft Research Centre, Cambridge UK.
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Brendan works in the Empirical Software Engineering and Measurement (ESM) activities in Microsoft focusing on software reliability, dependability, quality and process issues.
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10:00 : Session 4: Industry
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10:00 : Practical Considerations of Deploying AI in Defect Prediction:
A Case Study within the Turkish Telecommunication Industry
[PDF]
Ayse Tosun, Ayse Bener, and Burak Turhan
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10:30 - Break
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11:00 - Session 5: Machine Learning
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11:00 : Classification of Software Engineering Artifacts Using Machine
Learning
[PDF]
Joern David, Jonas Helming, Maximilian Koegel and Bernd Bruegge
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11:30 : On the Value of Combining Feature Subset Selection with Genetic
Algorithms: Faster Learning of Coverage Models
[PDF]
Jamie Andrews and Tim Menzies
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12:00 - Invited Presentation: From Software Engineer to Day Trader in 3 Easy Steps:
- A Comparison of Software Engineering Data Mining with Financial Data Mining
[PDF]
Gary Boetticher
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12:30 Lunch
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14:00 - Session 6: Repeatability and Open Source
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14:00 : How to Build Repeatable Experiments
[PDF]
Gregory Gay, Tim Menzies, Bojan Cukic and Burak Turhan
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14:30 : Modeling Success in FLOSS Project Groups
[PDF]
Justin Beaver, Xiaohui Cui, Jesse St. Charles and Thomas Potok
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15:00 : Fault Detection and Prediction in an Open Source Project
[PDF]
Michael English, Chris Exton, Irene Rigon and Brendan Cleary
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15:30 Break
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16:00 - Session 7: Modeling
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16:00 : Using Uncertainty as a Model Selection and Comparison Criterion
[PDF]
Salvatore Alessandro Sarcia, Victor Robert Basili and Giovanni
Cantone
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16:30 : Building Statistically Significant Robust Regression Models in
Empirical Software Engineering
[PDF]
Sandro Morasca
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17:00 : Misclassification cost-sensitive fault prediction models
[PDF]
Yue Jiang and Bojan Cukic (Presented by Gregory Gay)
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17:30 Wrap-up
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