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4th Brazilian Workshop on Intelligent Software Engineering (ISE’25)
Co-located event with the 16th Brazilian Conference on Software (CBSoft 2025).
Recife, Pernambuco, September 22/23, 2025.
https://www.virtus.ufcg.edu.br/iseworkshop/
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AIMS AND SCOPE
In modern society, software is ubiquitous, being present in almost every aspect of life. However, developing software is costly. Therefore, there is a continuous effort for innovative designs to help make software more reliable, maintainable, and reduce its development cost. Further, there is an increase of AI-enabled software, bringing new software engineering challenges.

In recent years, Intelligent Software Engineering (ISE) has emerged as a promising means to address these challenges. ISE is ambidextrous, including solutions based on (i) applying Intelligent Techniques to Software Engineering problems, but also on (ii) applying Software Engineering to developing Intelligent Systems.

An Intelligent Technique is defined as a technique that explores data (from digital artifacts or domain experts) for knowledge discovery, reasoning, learning, planning, natural language processing, perception, or supporting decision-making. Examples of Intelligent Techniques are search and optimization (e.g., Genetic Algorithm), Machine Learning, Deep Learning, Data Mining, Recommender Systems, Reasoning Under Uncertainty (e.g., Bayesian Networks), Software Analytics, and Decision Analysis. An intelligent system is a system that applies an Intelligent Technique for a given domain, such as a bug prediction, code recommendation, code quality analysis, code refactoring, software testing automation, team formation, requirements analysis, software project management, risk management and continuous integration and deployment.

The goal of ISE’23 is to strengthen the Intelligent Software Engineering community by integrating researchers and professionals from different areas (Software Engineering, Artificial Intelligence, Analytics, etc) to discuss and advance the state of the art and practice of ISE, its use, and application in the industry.

TOPICS
Topics that are within the scope of this workshop include (but are not limited to):

Foundation Models for Software Engineering
Large Language Models for Software Engineering
Software Engineering for Artificial Intelligence (SE4AI)
Big Code
Software Analytics
Search-Based Software Engineering
Data Mining for Software Engineering
Recommender Systems for Software Engineering
Machine Learning for Software Engineering (ML4SE)
Reasoning Under Uncertainty for Software Engineering
Natural Language Processing for Software Engineering
Multiple Decision Criteria Analysis for Software Engineering
Soft Computing for Software Engineering
Expert Systems for Software Engineering
Knowledge-Based Systems for Software Engineering
Semantic Network for Software Engineering
Data Science for Software Engineering
Sentiment Analysis for Software Engineering
Ontology for Software Engineering
Requirements Engineering for Intelligent Systems
Testing and QA for Intelligent Systems
Design Patterns for Intelligent Systems
Architecture for Intelligent Systems
Software Engineering principles for building or maintaining Intelligent Systems
DevOps for Intelligent Systems such as Machine Learning-enabled Systems (MLOps)

As part of this year’s special theme on Intelligent Sensing Platforms, we also invite papers on the following topics:
Software architectures for integrating sensor-based applications and platforms.
Artificial Intelligence techniques for real-time sensor data analysis, including anomaly detection and event forecasting.
Federated learning and distributed models in sensor-rich environments.
Data observability, governance, and security in intelligent platforms.
Case studies and applications in fields such as smart cities, healthcare, agriculture, industrial automation, and smart grids.


SUBMISSION
ISE accepts papers in two formats.

(1) Technical Papers (6 pages)
- ISE accepts papers within the context of Intelligent Software Engineering. Both positive and negative results are welcome, though negative results should still be based on rigorous research and provide details on lessons learned.

(2) Industry papers / Emerging Results (2-4 pages)
- Results, challenges, lessons learned from industrial applications of Intelligent Software Engineering.
- New and inspiring ideas, as well as on ongoing research with preliminary and interesting results on applications of Intelligent Software Engineering.


INSTRUCTIONS FOR AUTHORS
Papers can be submitted in Portuguese or English. Submission in English is strongly encouraged. Accepting a paper implies that at least one of its authors will register at CBSoft 2025 to present it. All submissions must be in Adobe Portable Document Format (PDF) and must comply with the ACM 2-column conference format (ACM_SigConf) available at this link.

LaTeX users must use the acmart.cls class provided in the template with the conference format enabled at the document preamble: \documentclass[sigconf]{acmart}. Authors must use the ACM-Reference-Format.bst bibliography style also provided in the template: \bibliographystyle{ACM-Reference-Format}

Papers should be electronically submitted through JEMS-3. All other papers will be reviewed by at least three Program Committee members. We strongly encourage authors to submit their tools and data to Zenodo, which adheres to FAIR (findable, accessible, interoperable, and re-usable) principles and provides DOI versioning.


BEST PAPER AWARD
The ISE/CBSoft Steering Committee will appoint a committee to award the best papers of ISE Technical Papers. Awarded papers will be announced during the ISE/CBSoft.


IMPORTANT DATES
Paper Submission: July 04, 2025
Notification of Acceptance: August 08, 2025
Camera-Ready: August 20, 2025
Workshop Date: September 22, 2025


ORGANIZATION
Mirko Perkusich - VIRTUS/UFCG - mirko@virtus.ufcg.edu.br
Matheus Paixão - UECE - matheus.paixao@uece.br
Emanuel Dantas Filho - IFPE - emanuel.filho@jaboatao.ifpe.edu.br
Danyllo Albuquerque IFPB & VIRTUS/UFCG - danyllo.albuquerque@virtus.ufcg.edu.br



CONTACT
Mirko Perkusich - VIRTUS/UFCG - mirko@virtus.ufcg.edu.br

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