PROMISE'07 - May 20, 2007

The PROMISE workshop seeks to deliver to the software engineering community useful, usable, verifiable, and repeatable models. It builds upon the success of the previous workshops. Empirical data, which is the foundation for the modeling process, currently consists of more than 30 data sets. As such, the theme is "models and methods."

Open Questions

Software engineering is a decision intensive discipline. But do we really understand software engineering? Can we help software engineers by building models that reveal hidden patterns regarding software resource management? How well do these models predict? Can they be used without requiring domain expert intervention? Do these models lead to better decisions? How are we to validate these models? Is the model creation process repeatable? Are there better, faster, cheaper ways to build those models? How effective are these models for identifying causal relations?

8:30 - Welcome

• 8:30
  Introduction Meet and greet. Report of the state of Promise. Some plans for 2008

8:40 - Session 1: MODELS

• 8:40
  Adequate and Precise Evaluation of Predictive Models in Software Engineering Studies Yan Ma and Bojan Cukic.
  
• 9:05
  Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction Norman Fenton, Martin Neil, William Marsh, Peter Hearty, Lukasz Radlinski and Paul Krause.
  
• 9:30
  Global Sensitivity Analysis of Predictor Models in Software Engineering Stefan Wagner
  
• 9:55
  Make the Most of Your Time: How Should the Analyst Work with Automated Traceability Tools? Alexander Dekhtyar, Jane Hayes and Jody Larsen.
  

1030 - Break

11:00 - Session 2: EFFORT

• 11:00
  Assessing the Reliability of a Human Estimator Gary Boetticher and Nazim Lokhandwala.
  
• 11:25
  Decision Support Analysis for Software Effort Estimation by Analogy Jingzhou Li and Guenther Ruhe.
  
• 11:50
  Omid Jalali, Tim Menzies, Dan Baker and Jairus Hihn Column Pruning Beats Stratification in Effort Estimation
  

12:30 - Lunch

1:30 Invited Talk

• Prof. Norman Fenton
  • Professor of Computing at Queen Mary (London University)
  • Chief Executive Officer of Agena (specialists in risk management for critical systems)
• Norman's books and publications on software metrics, formal methods, and risk analysis are widely known in the software engineering community; his book Software Metrics: A Practical and Rigorous Approach has sold over 35,000 copies worldwide.
• Normans recent work has focused on causal models (Bayesian Nets) for risk assessment in a wide range of application domains.
• Norman is a Chartered Engineer, a Chartered Mathematician, a Fellow of the British Computer Society, and a member of the Editorial Board of the Software Quality Journal.

"... any software metrics program that depends on some extensive metrics collection is doomed to failure ..."

2:15 - Session 3: PREDICTION

• 2:15
  Using Developer Information as a Prediction Factor Elaine Weyuker, Thomas Ostrand and Robert Bell
  
• 2:40
  Predicting Defects for Eclipse Thomas Zimmermann, Rahul Premraj and Andreas Zeller.
  
• 3:05
  Modeling the Effect of Size on Defect Proneness for Open-Source Software Gunes Koru, Dongsong Zhang and Hongfang Liu.
  

3:30 - Break

4:00 - Session 4: Software Analysis

• 4:00
  Complexity Measures for Secure Service-Oriented Software Architectures Michael Yanguo Liu and Issa Traore.
  
• 4:25
  Experiments on Design Pattern Discovery Jing Dong and Yajing Zhao.
  
• 4:50
  Wrap-up Roundtable discussion

5:30: end