Software Engineering in Practices (SEIP)APSEC 2026

The Software Engineering in Practice (SEIP) track serves as a dedicated forum for sharing practical software engineering knowledge between industry and academia. The track emphasizes experience-driven contributions, enabling practitioners and researchers to exchange insights drawn from real-world projects, applied research, and industrial practice. This interaction aims to promote mutual learning and foster long-term collaboration between the two communities.

This year, the SEIP track focuses on contemporary topics reflecting current challenges in software engineering practice, including:

• AI-driven software engineering
• Mobile and cyber-physical systems
• Software safety
• Autonomous systems
• Systems of systems

Submissions are expected to highlight advancements in theoretical knowledge with clear relevance to practical implementation, including real-world experiences and lessons learned, while addressing emerging technologies and methodologies that shape modern software development.

Review Process

All submissions to the SEIP track undergo a rigorous peer-review process by the Program Committee.

Publication

Accepted papers will be published in the official conference proceedings and indexed in the CS Digital Library, ensuring broad visibility to both academic and industrial audiences.

Why Participate?

By participating in the SEIP track at APSEC 2026, contributors and attendees can:

• Engage with professionals from diverse backgrounds
• Explore innovative solutions grounded in practice
• Collectively advance the state of software engineering

The track warmly welcomes both industrial practitioners and academic researchers who are eager to share experiences, address real-world problems, and contribute to impactful software engineering practice.

Call for Papers

Software Engineering in Practice (SEIP)

The Software Engineering in Practice (SEIP) track offers a unique opportunity for practitioners from industry and academia to share their valuable experiences, insights, pragmatic research issues, and best practices in the software engineering community.

As part of the APSEC 2026 conference, the SEIP Track aims to foster collaboration and mutual learning between these two vital sectors. We welcome submissions from industrial practitioners and academic researchers that align with the general topics outlined in the Technical Track, as well as emerging technical topics such as AI, mobile systems, safety, autonomous systems and SoS (System of Systems).

Topics of Interest

The major topics of SEIP 2026 include the following, but are not limited to:

• Verification and validation of machine learning systems
• Software engineering in mobile systems such as Android, iOS, and OpenHarmony, etc.
• Software engineering in cyber-physical systems, such as SoS and autonomous vehicles
• Software safety in traditional software and intelligent software
• Generative AI and software engineering
• Emerging methodology in software engineering
• Difficulties, issues, and challenges from SE in practice
• Introduction of new standards in SE
• Best practices in traditional software engineering

Evaluation Criteria

Each submission will be meticulously reviewed by a minimum of three members of the SEIP Program Committee. The evaluation process will consider industry relevance, originality, soundness, empirical and/or practical validation, as well as the quality and coherence of the presentation.

Please note that, unlike the Technical Track, the SEIP track does NOT require double-anonymous reviews.

Submission Guidelines

Submitted papers must have been neither previously accepted for publication nor concurrently submitted for review in another journal, book, conference, or workshop.

All submissions must be in English, in A4 paper size PDF format, and conform to the IEEE Conference Proceedings Formatting Guidelines (title in 24pt font and full text in 10pt font; LaTeX users must use \documentclass[10pt,conference]{IEEEtran} without including the compsoc or compsocconf option). Papers must also comply with the IEEE Policy on Authorship.

An SEIP paper must not exceed 10 pages for the main text (including appendices, figures, tables, and references). Short papers around 5 pages are also welcome.

The Chairs reserve the right to reject submissions (without reviews) that are not in compliance or out of scope for the conference.

Important Dates

• Submission Deadline: August 17, 2026
• Author Notification: September 28, 2026
• Camera-Ready Deadline: October 19, 2026

Submission Link

Papers must be submitted through the EasyChair submission system:
https://easychair.org/conferences/?conf=apsec2026

Accepted Papers and Attendance Expectation

All accepted papers will be submitted to the CS Digital Library as part of the APSEC 2026 conference proceedings.

If a submission is accepted, at least one author of the paper is required to register for and attend the conference to present the paper. The presentation is expected to be delivered in person, unless this is impossible due to travel restrictions (related to health, visa, etc.). If an accepted paper is not presented, the paper will be removed from the proceedings.

Contacts

For more information, please contact the APSEC SEIP 2026 Co-Chairs:

• Anis Rahmawati Amna (anis.r.amna@ub.ac.id)
• Chetan Arora (Chetan.Arora@monash.edu)

This version maintains the original meaning and tone while improving readability and consistency with the previous tracks (Technical Track and ERA Track). The IEEE formatting guidelines have been properly linked.

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All submissions must be the original work of the listed authors.

The use of AI-based tools is permitted only for minor linguistic assistance, such as grammar correction, spelling correction, and improving clarity of writing. However, the use of generative AI tools to produce or substantially generate original research content, scientific claims, experimental results, analysis, or manuscript text is strictly prohibited.

By submitting a paper, authors confirm that:

• The submission is an original work created by the listed authors.
• The core intellectual contributions, including the research ideas, methodology, results, and conclusions, were developed by the authors.
• The paper is not generated (fully or partially) by generative AI tools in a way that replaces author originality.

Violations of this policy may result in desk rejection, removal from the proceedings, and reporting to the authors’ institutions or funding bodies where appropriate.