posted by organizer: dfucci || 3438 views || tracked by 10 users: [display]

PROMISE 2015 : The 11th International Conference on Predictive Models and Data Analytics in Software Engineering


Conference Series : Predictive Models in Software Engineering
When Oct 21, 2015 - Oct 21, 2015
Where Beijing, China
Submission Deadline Jun 17, 2015
Notification Due Jul 20, 2015
Final Version Due Jul 27, 2015

Call For Papers

PROMISE 2015 - The 11th International Conference on Predictive Models and Data Analytics in Software Engineering
October 21, 2015, Beijing, China
Sponsored by Microsoft Research
Co-located with ESEM 2015 - 9th International Symposium on Empirical Software Engineering and Measurement

PROMISE is an annual forum for researchers and practitioners to present, discuss and exchange ideas, results, expertise and experiences in construction and/or application of predictive models and data analytics in software engineering. Such models and analyses 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 data mining communities, and seeking for verifiable and repeatable experiments that are useful in practice.

Topics of Interest

Topics of interest include, but are not limited to:

Application oriented:
- using predictive models and software data analytics in policy and decision-making;
- 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 and data analytics in different settings, e.g. lean/agile, waterfall, distributed, community-based software development;
- dealing with changing environments in software engineering tasks;
- dealing with multiple-objectives in software engineering tasks.

Theory oriented:
- model construction, evaluation, sharing and reusability;
- interdisciplinary and novel approaches to predictive modeling and data analytics that contribute to the theoretical body of knowledge in software engineering;
- verifying/refuting/challenging previous theory and results;
- combinations of predictive models and search-based software engineering;
- the effectiveness of human experts vs. automated models in predictions.

Data oriented:
- contributions to the repository;
- data quality, sharing, and privacy;
- ethical issues related to data collection;
- metrics;
- tools and frameworks to support researchers and practitioners to collect data and construct models to share/repeat experiments and results.

Student Poster Competition

This year we will also have a student poster competition open to short papers whose lead author is a student. The papers may have co-authors, but the student must be the lead author and present the poster at the conference. A letter confirming the enrolment of the student in a university will be required upon paper acceptance. Posters will be judged by a panel during the conference.

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 predictive modelling and data analytics 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 2015 will give the highest priority to 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 also encourage authors to submit their source codes to the repository.

Submissions can be of the following kinds:
- Full papers (oral presentation): papers with novel and complete results.
- Short papers (oral presentation): papers to disseminate on-going work and preliminary results for early feedback, or vision papers about the future of predictive modelling and data analytics in software engineering.
- Short paper (student poster competition): papers to disseminate on-going work and preliminary results for early feedback.


Keynote by Dr. Dongmei Zhang from Microsoft Research, China.

Important dates

Submission deadline: June 17th, 2015
Notification date: July 20th, 2015
Camera-ready copy: July 27th, 2015 (TBA)


PROMISE 2015 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 the paper category appropriately):

Accepted papers will be published in the ACM digital library.


Steering Committee:
Ayse Bener, Ryerson University, Canada
Leandro Minku, University of Birmingham, UK
Massimiliano Di Penta, University of Sannio, Italy
Burak Turhan, University of Oulu, Finland
Hongyu Zhang, Microsoft Research, China

General Chair:
Ayse Bener, Ryerson University, Canada

PC Chair:
Leandro Minku, University of Birmingham, UK

Publicity Chair:
Massimiliano Di Penta, University of Sannio, Italy

Publication Chair:
Burak Turhan, University of Oulu, Finland

Local Organization Chair:
Hongyu Zhang, Microsoft Research, China

Program Committee:

Lefteris Angelis, Aristotle University of Thessaloniki, Greece
Gabriele Bavota, Free University of Bozen-Bolzano, Italy
Olga Baysal, Montreal University, Canada
Ayse Bener, Ryerson University, Canada
Bora Caglayan, Ryerson University, Canada
Thomas Fritz, University of Zurich, Switzerland
Tracy Hall, Brunel University, UK
Mark Harman, University College London, UK
Rachel Harrison, Oxford Brookes University, UK
Jacky Keung, City University of Hong Kong, China
Foutse Khomh, DGIGL École Polytechnique de Montréal, Canada
Ekrem Kocaguneli, Microsoft, USA
Chris Lokan, University of New South Wales, Australia
Lech Madeyski, Wroclaw University of Technology, Poland
Emilia Mendes, Blekinge Institue of Technology, Sweden
Tim Menzies, North Carolina State University, USA
Leandro Minku, University of Birmingham, UK
Massimiliano Di Penta, University of Sannio, Italy
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, Istanbul Technical University, Turkey
Burak Turhan, University of Oulu, Finland
Stefan Wagner, University of Stuttgart, Germany
Hironori Washizaki, Waseda University, Japan
Dietmar Winkler, Vienna University of Technology, Austria
Yang Ye, Stevens Institute of Technology, USA
Hongyu Zhang, Microsoft Research, China
Yuming Zhou, Nanjing University, China

Related Resources

CCBD--Ei Compendex & Scopus 2021   2021 The 8th International Conference on Cloud Computing and Big Data (CCBD 2020)--Ei Compendex & Scopus
SOFSEM 2021   47th International Conference on Current Trends in Theory and Practice of Computer Science
AI, Data Analytics and Blockchain JIEM 2020   Emerging Trends and Impacts of the rise of AI, Data Analytics and Blockchain, Journal of Enterprise Information Management (JIEM, Q1)
SI-DAMLE 2020   Special Issue on Data Analytics and Machine Learning in Education
SoGood 2020   SoGood 2020 – 5th Workshop on Data Science for Social Good (ECML-PKDD 2020)
FDAE_AI_BDA 2020   Special Issue on Forensics Data Analytics Enhancement via Artificial Intelligences and Big Data Analytics
SEAMS 2021   Software Engineering for Adaptive and Self-Managing Systems
AEIS--Ei Compendex, Scopus 2021   2021 International Conference on Advanced Enterprise Information System (AEIS 2021)--Ei Compendex, Scopus
WSIM--Ei, Scopus 2021   2021 International Workshop on Information Management (WSIM 2021)--Ei Compendex, Scopus
CyberHunt 2020   International Workshop on Big Data Analytics for Cyber Threat Hunting