Conference: 17 Sep

CFP in pdf

The 10th International Conference on Predictive Models in Software Engineering

September 17, 2014, Turin, Italy

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.

CR Final Submission Instructions

Tutorial/ Keynote: Audris Mockus - Defect Prediction and Software Risk

Abstract: Defect prediction has always fascinated researchers and practitioners. The promise of being able to predict the future and act to improve it is hard to resist. However, the operational data used in predictions are treacherous and the prediction is usually done outside the context of the actual development project, making it impossible to employ it for software quality measurement or improvement. Contextualizing, imputing missing observations, and correcting operational data related to defects is essential to gauge software quality. Such augmented data can then be used with domain- and project-specific considerations to assess risk posed by code, organization, or activities and to suggest risk-specific remediation activities.

Bio: Audris Mockus wants to know how and why software development and other complicated systems work. He combines approaches from many disciplines to reconstruct reality from the prolific and varied digital traces these systems leave in the course of operation. Audris Mockus received a B.S. and an M.S. in Applied Mathematics from Moscow Institute of Physics and Technology in 1988. In 1991 he received an M.S. and in 1994 he received a Ph.D. in Statistics from Carnegie Mellon University. He is Harland Mills Chair Professor in the Department of Electrical Engineering and Computer Science of the University of Tennessee and is a consulting research scientist at Avaya Labs Research. Previously he worked at Software Production Research Department of Bell Labs.


Tutorial/ Keynote: Audris Mockus - Defect Prediction and Software Risk
Coffee Break
Session 1: Reviews and Benchmarks on Software Prediction (Chair: Leandro Minku)
Nikolaos Mittas, Vagia Karpenisi and Lefteris Angelis: Benchmarking Effort Estimation Models Using Archetypal Analysis
Igor Scaliante Wiese, Reginaldo Re, Filipe Roseiro Côgo, Igor Steinmacher and Marco Gerosa: Social Metrics included in Prediction Models on Software Engineering: A Mapping Study
Muhammad Usman, Emilia Mendes, Francila Neiva and Ricardo Britto: Effort Estimation in Agile Software Development: A Systematic Literature Review
Lunch Break
Session 2: Effort Estimation (Chair: Ayse Bener)
Boyce Sigweni and Martin Shepperd: Feature Weighting Techniques for CBR in Software Effort Estimation Studies: A Review and Empirical Evaluation
Filomena Ferrucci, Carmine Gravino and Federica Sarro: Exploiting Prior-phase Effort Data to Estimate the Effort for the Subsequent Phases: a Further Assessment
Liyan Song, Leandro Minku and Xin Yao: The Potential Benefit of Relevance Vector Machine to Software Effort Estimation
Coffee Break
Session 3: Defects and Issues (Chair: Massimiliano Di Penta)
Barbara Russo: A proposed method to evaluate and compare fault predictions across studies
Alessandro Murgia, Serge Demeyer, Marco Ortu, Roberto Tonelli, Giulio Concas and Michele Marchesi: On the influence of maintenance activity types on the issue resolution time
Rakesh Rana, Miroslaw Staron, Jorgen Hansson and Martin Nilsson: Analysing Defect Inflow Distribution of Automotive Software Projects

Social Event

The PROMISE 2014 social dinner will be held at Pastificio Defilippis - Via Lagrange 39 - Torino. Walking directions are available here

Special Theme

The special theme of PROMISE’14 is "Software analytics in 2020". In particular, we would like to see predicting models aimed at covering aspects of software engineering that were not fully covered, or were partially covered only, in the past. Examples include aspects related to licensing, security, energy consumption, etc. Note that while we encourage papers fitting the special theme, PROMISE 2014 welcomes any paper relevant to the conference topics.

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

  • Audris Mockus, University of Tennessee & Avaya Labs Research


Important Dates

  • Abstract submission: 09 May 2014 16 May 2014
  • Paper submission: 16 May 2014 23 May 2014
  • Notification of acceptance: 23 June 2014
  • Camera-ready papers: 05 July 2014
  • Conference date: 17 September 2014

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'14 will give the highest priority to empirical studies based on publicly available datasets. It is therefore encouraged, but 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.



PROMISE 2014 submissions must meet the following criteria:
  • be original work, not published or under review elsewhere.
  • conform to the ACM SIG proceedings templates from
  • not exceed 10 (4) pages for full (short) papers including references.
  • Papers should be submitted via EasyChair (please choose either “full” or “short” papers):
  • 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

  • Lefteris Angelis, Aristotle University of Thessaloniki, Greece
  • Gabriele Bavota, University of Sannio, Italy
  • Ayse Bener, Ryerson University, Canada
  • Daniela Da Cruz, University of Minho, Portugal
  • Davide Falessi, Fraunhofer CESE, USA
  • Thomas Fritz, University of Zurich, Switzerland
  • Tracy Hall, Brunel University, UK
  • Rachel Harrison, Oxford Brookes University, UK
  • Jacky Keung, City University of Hong Kong, China
  • Foutse Khomh, DGIGL, École Polytechnique de Montréal, Canada
  • Lech Madeyski, Wroclaw University of Technology, Poland
  • Kenichi Matsumoto, Nara Institute of Science and Technology (NAIST), Japan
  • Emilia Mendes, Blekinge Institue of Technology, Sweden
  • Leandro Minku, The University of Birmingham, UK
  • Thomas Ostrand, Rutgers Univ. Center for Discrete Mathematics & Computer Science, USA
  • Annibale Panichella, FBK, Trento, Italy
  • Daryl Posnett, UC Davis, USA
  • Rudolf Ramler, Software Competence Center Hagenberg, Austria
  • Daniel Rodriguez, The University of Alcalá, Spain
  • Federica Sarro, University College London, UK
  • Martin Shepperd, Brunel University, UK
  • Qinbao Song, Xi'an Jiaotong Unversity, China
  • Ayse Tosun Misirli, Oulu University, Finland
  • Burak Turhan, University of Oulu, Finland
  • Stefan Wagner, University of Stuttgart, Germany
  • Dietmar Winkler, Vienna University of Technology, Austria
  • Yang Ye, Institute of Software Chinese Academy of Sciences, China
  • Hongyu Zhang, Tsinghua University, China
  • Yuming Zhou, Nanjing University, China

Steering Committee

  • Ayse Bener, Ryerson University
  • Leandro Minku, University of Birmingham
  • Massimiliano Di Penta, University of Sannio
  • Burak Turhan, University of Oulu
  • Stefan Wagner, University of Stuttgart

General Chair

  • Stefan Wagner, University of Stuttgart

PC Chair

  • Massimiliano Di Penta, University of Sannio

Publication Chair

  • Leandro Minku, University of Birmingham

Publicity Chair

  • Burak Turhan, University of Oulu
  • Ayse Bener, Ryerson University

Local Organization Chair

  • Massimiliano Di Penta, University of Sannio


  • Burak Turhan, University of Oulu