7th International Workshop on
Bots and Agents in Software Engineering

Rio De Janeiro, Brazil
In conjunction with ICSE 2026

April 12-18, 2026

Call for Papers
International Workshop on Bots and Agents in Software Engineering
(BoatSE)

Bots (short for software robots) are software applications that perform often repetitive or simple tasks. In particular, social and chat bots interacting with humans are a recent research topic. Similarly, bots can be used to automate many tasks that are performed by software practitioners and teams in their day-to-day work. Recent work argue that bots can save developers' time and significantly increase productivity. Therefore, the goal of this one-day workshop is to bring together software engineering researchers and practitioners to discuss the opportunities and challenges of bots in software engineering. We solicit 6-page work in progress papers, position papers, and experience reports. Work in progress papers are expected to describe new research results and make contributions to the body knowledge in the area. Position papers are expected to discuss controversial issues in the field, or describe interesting or thought provoking ideas that are not yet fully developed. Experience reports are expected to describe experiences with (amongst other things) the development, deployment, and maintenance of bot-based systems in the software engineering domain.We have also included 5-page extended abstract publications free of APC charges that will appear as extended abstracts in the proceedings. All submissions will be reviewed by at least three program committee members. Accepted submissions will be invited to give a talk to present their findings. Submissions may address issues along the general themes, including but not limited, to the following topics:

  • Using bots and agents to derive software requirements and documentation
  • Using bots and agents in the context of the reliability, quality, safety, security, privacy, and trustworthiness of software systems
  • Using bots and agents to support software continuous integration, deployment, and delivery
  • Using bots and agents to enhance and support software testing & maintenance
  • Supporting and answering developer questions using bots
  • Issues related to the use of, or research on, SE bots and agents (e.g., privacy, ethical, human-computer interaction)
  • Practical experiences in developing bots
  • Experiences on using bot frameworks in software systems

Important Dates

All deadlines are firm at the Anywhere on Earth (AoE):

  • Submission Deadline: 20 October 2025
  • Acceptance Notification: 24 November 2025
  • Camera Ready: 26 January 2026

How to Submit (adapted from ICSE)

Submissions should be made via HotCRP by the submission deadline.

All submissions must be in PDF format and conform, at the time of submission, to the official ACM Primary Article Template, which can be obtained from the ACM Proceedings Template page. LaTeX users should use the sigconf option and the review option to produce line numbers for reviewer reference. The following LaTeX code should be placed at the start of the document:

\documentclass[sigconf,review]{acmart}

Submissions must not exceed 6 pages, including all text, figures, tables, and appendices; one additional page containing only references is permitted.

By submitting to BoatSE 2026, authors acknowledge awareness and agreement with the ACM Policy and Procedures on Plagiarism and the IEEE Plagiarism FAQ. Papers must not have been published or be under review elsewhere during the BoatSE 2026 review process.

Authors should acknowledge that they conform to the authorship policy of the IEEE, submission policy of the IEEE, and the authorship policy of the ACM (and associated FAQ). This includes following these points related to the use of Generative AI:

  • "Generative AI tools and technologies, such as ChatGPT, may not be listed as authors of an ACM published Work. The use of generative AI tools and technologies to create content is permitted but must be fully disclosed in the Work. For example, the authors could include the following statement in the Acknowledgements section of the Work: ChatGPT was utilized to generate sections of this Work, including text, tables, graphs, code, data, citations, etc.). If you are uncertain about the need to disclose the use of a particular tool, err on the side of caution, and include a disclosure in the acknowledgements section of the Work." - ACM
  • "The use of artificial intelligence (AI)-generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text." - IEEE
  • "If you are using generative AI software tools to edit and improve the quality of your existing text in much the same way you would use a typing assistant like Grammarly to improve spelling, grammar, punctuation, clarity, engagement or to use a basic word processing system to correct spelling or grammar, it is not necessary to disclose such usage of these tools in your Work." - ACM

Organization

Steering Committee

  • Emad Shihab - Concordia University
  • Marco A. Gerosa - Northern Arizona University
  • Ahmad Abdellatif - University of Calgary

Organizing Committee

  • Diego Elias Damasceno Costa - Concordia University
  • Mairieli Wessel - Radboud University

Web Chair

  • Rachna Raj - Concordia University

Publicity Chair

  • Jonan Richards - Radboud University

Proceedings Chair

  • Diego Elias Damasceno Costa - Concordia University

Program Committee

  • Akhila Sri Manasa Venigalla, Product Labs, IIIT Hyderabad, India
  • Glaucia Melo, Toronto Metropolitan University, Canada
  • Pedro Henrique Dias Valle, University of São Paulo, Brazil
  • Igor Steinmacher, Northern Arizona University, United States
  • Nathan Cassee, University of Victoria, Canada
  • Ranim Khojah, Chalmers University of Technology, Sweden
  • Linda Marie Erlenhov, Chalmers University of Technology, Sweden
  • Philipp Leitner, Chalmers University of Technology, Sweden
  • Alexander Serebrenik, Eindhoven University of Technology, Netherlands
  • Tom Mens, University of Mons, Belgium
  • Qinghua Lu, Data61, CSIRO, Australia
  • Williamson Silva, Universidade Federal do Cariri, Brazil
  • Natarajan Chidambaram, Luxembourg Institute of Science and Technology, Luxembourg
  • Genevieve Caumartin, Concordia University, Canada