Tool Demonstration and Data ShowcaseICSE 2027

Call for Tool Demonstration and Data Showcase

The ICSE 2027 Tool Demonstration and Data Showcase Track aims to make the software engineering community aware of new advances in our field through compelling demonstrations and reusable datasets that help advance research and practice. The track is a highly interactive venue where researchers and practitioners can demonstrate their tools or share reusable datasets and discuss them with conference attendees.

Tool-based demonstrations describe novel aspects of early prototypes or mature tools, including exciting new features of established tools. The tool demonstrations must communicate clearly the following information to the audience:

• envisioned users
• software engineering challenge addressed
• methodology or workflow required of users
• results of validation studies for mature tools, or design of planned studies for early prototypes

Data showcases describe well-motivated and reusable datasets. The data showcases must communicate clearly the following information to the audience:

• relevance of the dataset to the ICSE community
• motivation for creating the dataset, including typical usage scenarios and envisioned target users
• detailed description of the data source and the methodology used to gather, curate, clean, and/or generate the data, including provenance and tools employed (if any)
• describe the data format, storage mechanism, schema (if applicable), and access procedure
• provide examples of use cases, analyses, or research questions the dataset enables, and, when available, reference prior studies that have used it
• discuss limitations, challenges, ethical considerations (when applicable), and potential improvements to the dataset

Highlighting scientific contributions through concrete artifacts is a critical supplement to the traditional ICSE research paper. 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, and APIs for tool and data access. A dataset showcase provides the opportunity to communicate how the data collection approach has been implemented, including details such as data source, data collection, and usage issues, data models and representations, and APIs for data access. Authors of regular research papers are thus also encouraged to submit an accompanying demonstration and/or data showcase paper. In such cases, the tool or dataset details must not have been previously discussed in the original paper, and the tool or dataset paper should offer a substantial contribution beyond what the original paper provides.

Evaluation

Each submission will be reviewed by at least three members of the Tool Demonstration and Data Showcase Track program committee. The evaluation criteria include:

• relevance of demonstration or dataset for an ICSE audience
• technical soundness of the submission
• novelty of underlying ideas and concepts
• quality of presentation in associated video
• potential applications and usefulness of the tool or the dataset
• appropriate consideration of relevant literature

Authors are encouraged to discuss the carbon footprint of their tool, where appropriate.

How to Submit

Paper

Submissions must conform to the IEEE conference submission and formatting instructions. Title should be 24pt font and main text in 10pt font. LaTeX users should use the class options \documentclass[10pt,conference]{IEEEtran}, without including the compsoc or compsocconf options.

• Submissions must be in PDF format and not exceed four pages for the main text, inclusive of all references, figures, tables, appendices, etc.

• Submissions must strictly conform to the IEEE conference proceedings formatting instructions specified above. Alterations of spacing, font size, and other changes that deviate from the instructions may result in desk rejection without further review.

• By submitting to the ICSE Demonstrations Track, authors acknowledge that they are aware of, and agree to be bound by, the ACM Policy and Procedures on Plagiarism and the IEEE Plagiarism FAQ. Papers submitted to the Demonstrations track must not have been published previously in demonstration form.

• By submitting your paper to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM’s Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.

• Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper.

• The Demonstration and Data Showcase track will use the single-anonymous reviewing model (the authors do not know who the reviewers are, but the reviewers do know the authors), so please include the authors’ identities in the submission materials.

• Upon acceptance, authors have the possibility to separately submit their supplementary material to the ICSE 2027 Artifact Evaluation track, for recognition of artifacts that are reusable, available, replicated or reproduced.

• Papers must be submitted electronically through the Demonstration and Data Showcase Track submission site https://icse27demos.hotcrp.com. At the end of the abstract, make sure to append the URL at which the demonstration or dataset video can be found.

• For tool demonstration, the submission must contain a link to the publicly available tool and its usage instructions. Optionally, if the tool is open source, the submission should link to the corresponding repository. For data showcase, the submission must include the URL to an online repository (e.g., Zenodo or Figshare) containing the dataset.

Video

Each submission must be accompanied by a short video (between three and five minutes long) describing the demonstration or dataset. The video should be made available online at the time of submission. Videos should:

• provide an overview of the tool capabilities or dataset usage

• Walk through of some of the tool capabilities or dataset usage

• provide clarifying voice-over and/or annotation highlights, where appropriate

• be engaging and exciting for the viewer!

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 examples from ICSE 2018: https://www.youtube.com/playlist?list=PL6g5MCGbJtUF1iW4RSPvUtbKkemrVYrkP

Tool

Authors must distribute their tool in an easy-to-use form, such as an active website that provides fast response time and will remain online indefinitely, a virtual machine image, a software container (e.g., Docker), or a system configuration (e.g., Puppet, Ansible, Salt, CFEngine). Do not expect reviewers to have to build your code!

Dataset

Authors must distribute their dataset in an easy-to-use form, such as an online repository (e.g., Zenodo or Figshare) containing the dataset.

Important Dates (AoE Time)

• Submission Deadline: Friday 23-Oct-2026
• Acceptance Notification: Friday 11-Dec-2026
• Camera Ready: Wednesday 20-Jan-2027