About ISE'25
The Fourth Brazilian Workshop on Intelligent Software Engineering (ISE'25) will be held in person. ISE'25 is co-located with the 16th Brazilian Conference on Software (CBSoft 2025).
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 Sensing Platforms.
- Case studies and applications in fields such as smart cities, healthcare, agriculture, industrial automation, and smart grids.
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 for helping make software more reliable, maintainable, and reduce its development cost. Further, there is an increase in AI-enabled software, bringing new software engineering challenges.
This year's edition of ISE will include a special focus on intelligent sensing platforms, particularly at the application level. With the increasing deployment of IoT and sensor-based systems across various domains, the software supporting these platforms faces new challenges in data integration, observability, real-time AI inference, and decision-making automation. We encourage contributions that explore how Intelligent Software Engineering can address these challenges, emphasizing scalable, secure, and efficient solutions for sensor-driven platforms.
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 and (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'25 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 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
- Artificial Intelligence for Software Engineering (AI4SE)
- Machine Learning for Software Engineering (ML4SE)
- Software Engineering for Artificial Intelligence (SE2AI)
- Big Code
- Software Analytics
- Search-Based Software Engineering
- Data Mining for Software Engineering
- Recommender Systems for Software Engineering
- 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)
- Intelligent Sensing Platforms and Applications
Submission Guidelines
Paper Format
ISE accepts papers in two formats.
Technical Papers (6 pages)
- ISE accepts papers within the context of "Intelligent Software Engineering" and "Intelligent Sensing Platforms". Positive and negative results are welcome, though negative results should still be based on rigorous research and provide details on lessons learned.
Industry papers / Emerging Results (2-4 pages)
- Results, challenges, lessons learned from industrial applications of "Intelligent Software Engineering" and "Intelligent Sensing Platforms".
- New and inspiring ideas, as well as ongoing research with preliminary and interesting results on applications of "Intelligent Software Engineering" and "Intelligent Sensing Platforms".
Instruction for Authors
Papers can be submitted in Portuguese or English. Submission in English is strongly encouraged. 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}
Submissions must be no longer than the limits defined in the Paper Format section, including all figures and references.
Papers should be electronically submitted through JEMS. Submissions that do not comply with the required submission format, are out of the scope of the symposium or were submitted or published in any other forum (conference or journal) will be rejected without review. At least two Program Committee members will review all other papers.
Open Science Policy
ISE'25 supports the principles of Open Science, aiming to increase transparency, reproducibility, and collaboration in research. Authors are encouraged to share data, code, and other research artifacts in an anonymized and curated format to help reviewers and readers validate results and reuse materials. We understand that in some contexts—such as qualitative or industrial studies—sharing data may not be possible due to privacy, confidentiality, or other restrictions. .
Policy on the Use of Generative AI Tools
Authors submitting to ISE'25 must follow ethical guidelines regarding the use of AI tools in research writing. It is not allowed to:
- List AI tools (e.g., ChatGPT) as co-authors;
- Submit sections written entirely by generative AI.
It is allowed, with proper acknowledgment in the paper, to:
- Use AI tools to help generate or revise parts of the content. The acknowledgments section should clearly state what was produced and which tool was used.
Example: "ChatGPT was used to revise Section 2 and generate the initial version of Table 1."
It is also acceptable (without the need to mention it) to:
- Use AI tools to enhance clarity, grammar, or image quality—similar to using grammar-checking or image-editing software.
At the time of submission, authors will be required to disclose whether AI tools were used during the preparation of the manuscript. This information is requested strictly for ethical transparency, and authors should not feel discouraged from using such tools when appropriate.
Double-Blind Submission
ISE'25 will follow a double-blind review process. All submitted papers should conceal the identity of the authors. Both author names and affiliations must be omitted. In addition, the following rules should be addressed:
- Citations to own related work must be written in the third person. For example, one must write "the previous work of Silva et al." as opposed to "our previous work." As a heuristic, occurrences of "we", "our", "ours", "github", "funding", etc. should be looked in the paper and removed before submitting.
- In the submitted paper, any artifact in a repository or website that allows identifying the authorship should not be mentioned. If any artifact needs to be made available, it should be anonymized in the repository/website.
- Reviewers will not be encouraged to look for references that identify the authors in other sources on the Internet. Searches in digital libraries or existing artifacts do not break the double-blind policy.
- If the submitted paper is a follow-up of a previous work, the reference may be anonymized in the submitted paper. For example, "the previous work of Silva et al." can be adapted to "based on the previous work [X]" and the reference at the end of the paper can be presented as "[X] Anonymous authors. Not presented due to double-blind review.".
After the paper's acceptance, all the paper information (without anonymization) can be included in the camera-ready version.
Any questions about the preparation of the paper following the double-blind rules can be sent to the Program Committee Chairs.
Organization, Chairs and Important Dates
Organization:
ISE is a workshop organized and promoted by UFCG, UECE, and supported by VIRTUS/UFCG.
Chairs:
- Mirko Perkusich (VIRTUS/UFCG)(mirko@virtus.ufcg.edu.br)
- Danyllo Albuquerque (VIRTUS/UFCG) (danyllo.albuquerque@virtus.ufcg.edu.br)
- Emanuel Dantas Filho (IFPE) (emanuel.filho@jaboatao.ifpe.edu.br)
- Matheus Henrique Esteves Paixao (UECE) (matheus.paixao@uece.br)
Publicity Chair:
- Mirko Perkusich (VIRTUS/UFCG)(mirko@virtus.ufcg.edu.br)
Important Dates:
Tentative plan
- Paper Submission: July 04, 2025
- Notification of Acceptance: August 08, 2025
- Camera-Ready: August 20, 2025
- Workshop Date: September 23, 2025
Keynote

Roberta Arcoverde
Software Engineering at Google
Title: Safe AI and AI-powered Safety
Description: Protecting AI systems, applications, and users at scale is a challenge that requires developers to have a deep understanding of both AI-specific privacy and security risks and established secure coding practices. The Secure AI Framework (SAIF) describes Google’s approach to managing AI risks, covering the security of data, models, infrastructure, and applications involved in AI development. This framework aligns with Google’s Responsible AI Practices to keep more people safe online. In this talk, we will explore SAIF and its application to mitigating AI-specific risks such as model exfiltration, data poisoning, malicious prompt injection, and the disclosure of sensitive data from training sets. We will also explain how Google leverages AI for making our products and services safer..
-->Short Bio: Roberta Arcoverde is a seasoned software engineer with extensive experience. She holds a degree in Computer Science from the Universidade Federal de Pernambuco (UFPE), and a master's degree in Informatics from the Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio). In 2013, Roberta joined Stack Overflow as a software developer, becoming the first Brazilian to be part of the site's team. Over her tenure, she contributed to various teams and projects, eventually becoming Director of Engineering. Currently, Roberta is an engineering manager at Google, where she continues applying her software engineering expertise. Beyond her professional roles, Roberta co-hosts the Hipsters.tech podcast, sharing insights on technology and software development. She has also participated in industry events and conferences, including as a keynote speaker at SBCARS 2023. Her career exemplifies a robust blend of professional practice and academic contribution to software engineering.

Rodrigo Vilar
VIRTUS
Title: Using LLMs to Drive Agile Project Intelligence at VIRTUS/UFCG
Description: In this keynote, we present a real-world application of Large Language Models in agile project monitoring at VIRTUS, a Research and Innovation Center at the Federal University of Campina Grande (UFCG). We developed an AI-powered prompt interface that enables users to ask natural language questions about project status. These queries are processed by a LLaMA-based LLM using a Retrieval-Augmented Generation architecture tailored to our BI tool, CubeJS. The LLM orchestrates workflows through LangGraph, coordinating agents for metadata retrieval, caching, refinement, and conversation history. A no-code approach was adopted to streamline workflow composition and foster accessibility. We will discuss the solution architecture, development journey and practical challenges faced throughout the project. The keynote also includes live examples and insights from its use in ongoing VIRTUS initiatives, demonstrating how LLMs can bring agility and intelligence to project management.
Short Bio: Rodrigo Vilar is a Full Stack Developer with a solid academic background in Computer Engineering from the Federal University of Campina Grande (UFCG). Currently, he serves as a Full Stack Developer at Lumenalta (formerly Clevertech), where he applies his software development skills to deliver innovative technological solutions. Rodrigo has accumulated diverse experiences throughout his career, including roles such as Founder, Assistant Professor, Technical Leader, and Senior Software Engineer. These positions have allowed him to comprehensively understand the software development lifecycle, from conception to implementation and maintenance. His professional journey is marked by his ability to lead teams, share knowledge, and adapt to different technological contexts. His robust academic training and practical experience highlight Rodrigo as a versatile professional committed to excellence in software engineering.
Awards
Distinguished Paper
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. The two best papers will be invited to submit an extended version in English to the Journal of Software Engineering Research and Development (JSERD).
Outstanding Reviewer
The ISE/CBSoft Steering Committee values the important role played by Program Committee members in ensuring the quality of the event. As a way to recognize their commitment, the organizing committee will present an Outstanding Reviewer certificate to individuals who demonstrate excellence in reviewing, through timely feedback, constructive and well-structured evaluations, and active engagement in committee discussions.
Program Committee
- Ademar de Sousa Neto - VIRTUS
- Adriano Santos - Ro-Main (Canada)
- Alexandre Costa - IFPB
- Allysson Allex Araújo - UFCA
- Álvaro Filho - UFAPE
- Anderson Uchoa - UFC
- Andres Diaz-Pace - INSISTAN/UNICEN (Argentina)
- Andressa Bezerra Ferreira - IFCE
- Angelo Perkusich - VIRTUS/UFCG
- Bruno Neiva - IFPB
- Carolyn Seaman - UMBC (USA)
- Carlos Solon Soares Guimarães Júnior - ISI-SIM
- Chrystinne Fernandes - MIT (USA)
- Danilo Freire - UFCG
- Ednaldo Dilorenzo - IFPB
- Elmano Ramalho Cavalcanti - IFPB
- Emanuel Dantas Filho - IFPE
- Emilia Mendes - Blekinge Institute of Technology (Sweden)
- Evandro Costa - UFAL
- Felipe Pontes - EDGE/UFAL
- Felipe Ramos - IFPB
- Fernanda Madeiral - UFPE
- Guilherme Horta Travassos - UFRJ
- Guillermo Rodriguez - INSISTAN/UNICEN (Argentina)
- Gutemberg Gonçalves dos Santos Júnior - UFCG
- Heremita Brazileiro Lira - IFPB
- Hernán Astudillo - UNAB (Chile)
- Hyggo Almeida - VIRTUS/UFCG
- Igor Barbosa - IFPB
- Igor Scaliante Wiese - UTFPR
- João Francisco Valiati - ISI-SIM
- Julierme Silva - IFPB
- Katysco Santos - IFPB
- Leandro Minku - University of Birmingham (United Kingdom)
- Lenardo Silva - UFERSA
- Lincoln Rocha - UFC
- Nabor Mendonça - UNIFOR
- Paulo Henrique Maia - UECE
- Rafael Serapilha Durelli - UFLA
- Rafael Fao de Moura - ISI-SIM
- Roberto Oliveira - UEG
- Ramon Nóbrega dos Santos - VIRTUS/UFCG
- Raul Herbster - Spotify (Sweden)
- Rohit Gheyi - UFCG
- Rossana Andrade - UFC
- Talles Brito - IFCE
- Thiago Ferreira - University of Michigan (USA)
- Tiago Brasileiro - IFPB
- Tayana Conte - UFAM
- Vinicius Humberto Serapilha Durelli - UFSJ
- Willian Oizumi - Google (Brazil)
Program
Presentation Format
Each accepted paper will be allocated 10 minutes for presentation, followed by 5 minutes for audience interaction (questions, suggestions, and comments). Authors are encouraged to use slides or any other presentation format they find suitable (such as prototype demonstrations or videos), as long as the 10-minute time limit for the presentation is respected.
Paper Publication
Accepted papers will be assigned a DOI and published in the event proceedings, which will be made available online through the SBC OpenLib, the SBC's content portal, in the Anais do ISE/CBSoft series, accessible at: https://sol.sbc.org.br/index.php/ise/index.
Pre-Event Timetable*
- 08:30 - 08:35 - Opening
- 08:35 - 09:10 - Keynote by Rodrigo Vilar Session: Accepted Technical Papers Presentation
- 10:25 - 10:30 - Break
- 10:30 - 11:10 - Keynote by Roberta Arcoverde Session: Accepted Industry/Emerging Results Papers Presentation
- 11:55 - 12:00 - Break
- 12:00 - 12:20 - Awards and closing
(*) The confirmation of the paper presentation schedule will depend on (i) submitting the final version of the paper and (ii) registering at least one of the authors for the workshop. Consequently, there is a possibility of modifications to this schedule.
Registration and Participation
At least one paying author of each accepted paper must register for the paper to be included in the event proceedings. Authors with more than one accepted paper, in any CBsoft event, may pay a single registration fee plus an “additional publication fee” for each extra paper. The ISE/CBSoft Steering Committee reserves the right to exclude from the proceedings any paper that is not presented during the event.