The objective of the ICSE 2017 Demonstrations Track is to excite the software engineering community about new advances in our field through compelling demonstrations that help advance research and practice. The track is a highly interactive venue where researchers and practitioners can demonstrate their tools and discuss them with attendees.
Tool-based demonstrations describe novel aspects of early prototypes or mature tools. The tool demonstrations must communicate clearly the following information to the audience:
- the envisioned users;
- the software engineering challenge it proposes to address;
- the methodology it implies for its users; and
- the results of validation studies already conducted for mature tools, or the design of planned studies for early prototypes.
Highlighting scientific contributions through concrete artifacts is a critical supplement to the traditional ICSE research papers. A demonstration provides the opportunity to communicate how the scientific approach has been implemented or how a specific hypothesis has been assessed, including details such as implementation and usage issues, data models and representations, APIs for tool and data access. Authors of regular research papers are thus also encouraged to submit an accompanying demonstration paper.
Each submission will be reviewed by at least three members of the demonstrations selection committee.
The evaluation criteria include:
- the relevance of the proposed demonstration for the ICSE audience;
- the technical soundness of the demonstrated tool (for a tool demo)
- the originality of its underlying ideas;
- the quality of its presentation in the associated video; and
- the degree to which it considers the relevant literature.
How to Submit
Submissions must conform to the ICSE 2017 formatting and submission instructions. In particular, submissions of demonstrations papers must meet the following criteria.
A demonstration submission may not exceed four pages (including all text, references and figures). Each submission MUST be accompanied by a short video (between three and five minutes long) illustrating the demonstration. The video should be made available online at the time of submission. Videos should (i) provide an overview of the tool’s capabilities and/or dataset characteristics; (ii) walk through (some of) the tool capabilities and/or data analysis process; (iii) where appropriate, provide clarifying voice-over and/or annotation highlights; and (iv) be engaging and exciting for the watcher! A submission may not have been previously published in a demonstration form. The paper submission must be in PDF. Papers must be submitted electronically through EasyChair by November 18, 2016. (The submission webpage will be opened 3 months before the submission deadline).
At the end of the abstract, please append the URL at which your demo video can be found. Please note that for consistency, we require that ALL videos be uploaded to YouTube and made accessible during the time of reviewing. Authors of successful submissions will have the opportunity to revise both the paper and the video (and its hosting location) by the camera-ready deadline.
For examples of previously successful short videos, please see the following: https://www.youtube.com/playlist?list=PLv2z5tdv5mKzXeyzegBq6YONhwBNqeeMY
For further information, please email email@example.com
- Submission deadline: November 18, 2016
- Notification deadline: January 18, 2017
- Camera ready copy deadline: February 13, 2017
Nicolás D’Ippolito, Buenos Aires University, Argentina
Aditya Kanade, Indian Institute of Science, India
Earl Barr, University College London, UK
Dirk Beyer, University of Passau, Germany
Javier Camara Moreno, Carnegie Mellon University, USA
Naeem Esfahani, Google Inc., USA
Rohit Gheyi, Department of Computing Systems - UFCG, Brazil
Christian Hammer, Saarland University, Germany
Jeff Huang, Texas A&M University, USA
Filip Krikava, Northeastern University, US
Ivo Krka, Google Inc, USA
Emmanuel Letier, University College London, UK
Ge Li, Peking University, China
Lionel Montrieux, Zalando SE, Germany
Tien Nguyen, Iowa State University, USA
Liliana Pasquale, Irish Software Research Centre, Ireland
Mukul Prasad, Fujitsu Laboratories of America, Japan
Rahul Purandare, Indraprastha Institute of Information Technology Delhi, India
Xiaokang Qiu, MIT, USA
Nicolas Rosner, Instituto Tecnologico Buenos Aires, Argentina
Diptikalyan Saha, IBM Research, India
Kenji Tei, National Institute of Informatics, Japan
Sira Vegas, Universidad Politecnica de Madrid, Spain