The PROMISE conference seeks verifiable and repeatable models that are useful for the implementation, evaluation, and management of software processes and projects. Such models relate to software development efforts (both in general or software development for specific domains such as telecom, finance, scientific applications, etc).

For statistics on number of submissions, acceptances, etc, and notes on our review processes, see stats.php.

Conference proceedings are available here for one week. Afterwards, papers will be available through the ACM portal.

Photos from the meeting

Tuesday, September 20

07:30 - 08.30: Breakfast

Location: Vista Dining Room

8:45: Welcome

Location: KCCI 101

Welcome and Best paper award.

9:00 Keynote #1

Location: KCCI 101
Chair: Stefan Wagner

Seven Habits of High Impactful Empirical Software Engineers
Laurie Williams
Department of Computer Science North Carolina State University

10:00 - 10:30: Coffee break

10:30 - 12:00: Session 1

Location: KCCI 101
Chair: Ayse Benar

• Does Measuring Code Change Improve Fault Prediction?
  Robert Bell, Thomas Ostrand and Elaine Weyuker.
  Promise 2011: "Does Measuring Code Change Improve Fault Prediction?"

  View more presentations from Tim Menzies.
  
  
• An Analysis of Trends in Productivity and Cost Drivers over Years
  Vu Nguyen, Liguo Huang and Barry Boehm.
  
  
• Handling missing data in software effort prediction with naive Bayes and EM
  Wen Zhang, Ye Yang and Qing Wang.
  
  

12:00 - 13:30 : Lunch

Location: Vista Dining Room

13:30 - 1500: Session 2

Location: KCCI 101
Chair: Jacky Keung

• Panel: Practical Software Project Improvements using Actionable Predictive Models and Solutions Chair: Jacky Keung.
  1. Introduction (Keung; 20mins): general notes, comments on effort estimation and actionable models.
     
     
  2. Paper (30 mins): Failure is a Four-Letter Word: A Satire in Empirical Research Andreas Zeller, Thomas Zimmermann and Christian Bird.
     
     
  3. Panelist discussion (40mins): by Emila Mendes, Wang Qing, Martin Shepperd
     
     
     
     
     

15:00 - 15:30: Coffee break

15:30 - 17:30: Session 3

Location: KCCI 101
Chair: Tom Ostrand

• Software Effort Estimation Based on Optimized Model Tree
  Mohammad Azzeh.
• Are Change Metrics Good Predictors for an Evolving Software Product Line?
  Sandeep Krishnan, Chris Strasburg, Robyn Lutz and Katerina Goseva-Popstojanova.
  
  
• Detecting Bug Duplicate Reports through Locality of Reference
  Tomi Prifti, Sean Banerjee and Bojan Cukic.
  
  
• A Principled Evaluation of Ensembles of Learning Machines for Software Effort Estimation
  Leandro Minku and Xin Yao.

7pm : Conference dinner

Location: ,Kinnear Centre, KC 201 (dinner + 2 drinks covered by registration fee).

Wednesday, September 21

07:30 - 08.30: Breakfast

Location: Vista Dining Room

9:00 - 10:00 : Keynote #2

Location: KCCI 101
Chair: Tim Menzies

Nothing else Matters: What Predictive Model should I use?
Massimiliano Di Penta
Dept. of Engineering, University of Sannio, Benevento, Italy

10:00 - 10:30 : Coffee break

10:30 - 12:00 : Session 4

Location: KCC1 101
Chair: Ye Yang

• Studying the Fix-Time for Bugs in Large Open Source Projects
  Lionel Marks, Ahmed E. Hassan and Ying Zou.
  
  
• Selecting Discriminating Terms for Bug Assignment: A Formal Analysis
  Ibrahim Aljarah, Shadi Banitaan, Sameer Abufardeh, Wei Jin and Saeed Salem.
  
  
• Empirical validation of human factors on predicting issue resolution time in open source projects
  Anh Nguyen Duc, Daniela Cruzes, Claudia Ayala and Reidar Conradi.
  
  

12:00 - 13:30 : Lunch

Location: Vista Dining Room

13:30 - 15:00 : Session 5

Location: KCCI 101
Chair: Tim Menzies

• Panel: The Road Ahead in Predictive Modeling Chair: Ayse Bener.
  1. Industry involvement and needs (15mins): report from iPromise, Toronto, July 2011;
  2. Panel discussion (75mins):
     • Panelists: Hakan Erdogmusm Mika Mantyla, Barbara Russo, Guenther Ruhe, Burak Turhan.
     • Topics: maturity of predictive models (generalization/ locality, policy making etc); repeatability; data analysis (the human side of modeling and metrics); tool support in wide usage of predictive models in the field
  
  

15:00 - 15:30 : Coffee break

15:30 - 17:30 : Session 6

Location: KCCI 101
Chair: Stefan Wagner

• BEST PAPER : Local Bias and its Impacts on the Performance of Parametric Estimation Models
  Ye Yang, Lang Xie, Zhimin He, Qi Li, Vu Nguyen, Barry Boehm and Ricardo Valerdi.
  
  
• An Iterative Semi-supervised Approach to Software Fault Prediction
  Huihua Lu, Bojan Cukic and Mark Culp.
  
  
• Customization Support for CBR-Based Defect Prediction
  Elham Paikari, Guenther Ruhe, Bo Sun and Emadoddin Livani.
  
  
• An Empirical Evaluation of Outlier Deletion Methods for Analogy-Based Cost Estimation
  Masateru Tsunoda, Akito Monden, Takeshi Kakimoto and Kenichi Matsumoto.