Conference: 09 Oct

CFP in pdf

The 9th International Conference on Predictive Models in Software Engineering

PROMISE conference is an annual forum for researchers and practitioners to present, discuss and exchange ideas, results, expertise and experiences in construction and/or application of prediction models in software engineering. Such models could be targeted at: planning, design, implementation, testing, maintenance, quality assurance, evaluation, process improvement, management, decision making, and risk assessment in software and systems development.

PROMISE is distinguished from similar forums with its public data repository and focus on methodological details, providing a unique interdisciplinary venue for software engineering and machine learning communities, and seeking for verifiable and repeatable prediction models that are useful in practice.


Proceedings

http://tinyurl.com/promise13

Program

[08.30-08.45]
Welcome, Introductions
[08.45-10.00]
Keynote: Thomas Zimmermann. “Software Analytics = Sharing Information” Slides
[10.00-10.30]
Coffee Break
[10.30-12.15]
Session 1: Software Quality (Chair: Leandro Minku)
Sarah Heckman and Laurie Williams. A Comparative Evaluation of Static Analysis Actionable Alert Identification Techniques Slides
Klaus Lochmann, Jasmin Ramadani and Stefan Wagner. Are Comprehensive Quality Models Necessary for Evaluating Software Quality? Slides
Neil Walkinshaw. Using Evidential Reasoning to Make Qualified Predictions of Software Quality Slides
Josee Tasse. Using code change types in an analogy-based classifier for short-term defect prediction (Short Paper) Slides
[12.15-13.30]
Lunch Break
[13.30-15.00]
Session 2: Predictions Under Concept Drift (Chair: Ayse Tosun Misirli)
Steffen Herbold. Training data selection for cross-project defect prediction Slides
Ekrem Kocaguneli, Bojan Cukic, Tim Menzies and Huihua Lu. Building a Second Opinion: Learning Cross-Company Data Slides
Liyan Song, Leandro Minku and Xin Yao. The Impact of Parameter Tuning on Software Effort Estimation Using Learning Machines Slides
[15.00-15.30]
Coffee Break
[15.30-17.15]
Session 3: Emerging Trends (Chair: Jacky Keung)
Ramin Moazeni, Barry Boehm and Daniel Link. Incremental Development Productivity Decline Slides
Gul Calikli and Ayse Bener. An Algorithmic Approach to Missing Data Problem in Modeling Human Aspects in Software Development Slides
Leandro Minku and Xin Yao. An Analysis of Multi-objective Evolutionary Algorithms for Training Ensemble Models Based on Different Performance Measures in Software Effort Estimation Slides
Tim Menzies. Beyond Data Mining; Towards “Idea Engineering” (Short Paper) Slides
[17.15-17.30]
Closing Session and Best Paper Award

GENERAL STATISTICS:

Special Theme

The special theme of PROMISE’13 is predictions across projects, contexts and organizations, where the predictions employ approaches (e.g. transfer learning, instance selection, data filtering) with an impact that is useful in practice, in order to solve the problem of learning under concept drift (across time and space).


Topics of Interest

  • (Application oriented): Predicting for cost, effort, quality, defects, business value; quantification and prediction of other intermediate or final properties of interest in software development regarding people, process or product aspects; using predictive models in policy and decision making; using predictive models in different settings, e.g. lean/agile, waterfall, distributed, community-based software development.
  • (Theory oriented): Interdisciplinary and novel approaches to predictive modeling that contribute to the theoretical body of knowledge in software engineering; verifying/refuting/challenging previous theory and results; the effectiveness of human experts vs. automated models in predictions.
  • (Data and model oriented): Data quality, sharing, and privacy; ethical issues related to data collection; metrics; contributions to the repository; model construction, evaluation, sharing and reusability; tools and frameworks to support researchers and practitioners to collect data and construct models to share/repeat experiments and results.

 

Keynote Speaker

 

Important Dates

  • Abstract submission: 05 April 2013 12 April 2013
  • Paper submission: 12 April 2013 21 April 2013
  • Notification of acceptance: 10 June 2013
  • Camera-ready papers: 28 June 2013
  • Conference date: 9 October 2013

Kinds of Papers

We invite all kinds of empirical studies on the topics of interest (e.g. case studies, meta-analysis, replications, experiments, simulations, surveys etc.), as well as industrial experience reports detailing the application of prediction technologies and their effectiveness in industrial settings. Both positive and negative results are welcome, though negative results should still be based on rigorous research and provide details on lessons learned.

Following the tradition, PROMISE'13 will give the highest priority to empirical studies based on publicly available datasets. It is therefore encouraged, but it is not mandatory, that conference attendees contribute the data used in their analysis to the on-line PROMISE data repository.

We solicit both full and short papers. Short papers are intended to disseminate new ideas, on-going work and preliminary results for early feedback, and do not necessarily require complete results as in full papers. The deadline for short papers is the same as full papers.

 

Submissions

  • Submissions must be original work, not published or under review elsewhere.
  • Submissions must conform to the ACM SIG proceedings templates from http://goo.gl/wE1k
  • Submissions must not exceed 10 (4) pages for full (short) papers including references.
  • Papers should be submitted via Easychair (please choose either “full” or “short” papers): http://www.easychair.org/conferences/?conf=promise2013
  • Accepted papers will be published in the ACM digital library.

Special Issue

The venue for the special issue is TBA. Previous PROMISE special issues have appeared in IEEE Software, Empirical Software Engineering Journal, Information and Software Technology Journal, and Automated Software Engineering Journal.


Programme Committee

Steering Committee

General Chair

PC Chair

Publicity Chair

  • Ye Yang, Chinese Academy of Sciences

Local Organization Chair

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