About ISE'22
The Second Brazilian Workshop on Intelligent Software Engineering (ISE'22) will be held in a virtual form. ISE'22 is is co-located with the 13th Brazilian Conference on Software: Theory and Practice (CBSoft 2022).
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 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 product recommender.
The goal of ISE’22 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):
- Artificial Intelligence for Software Engineering (AI4SE)
- 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 Criteria Decision 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)
Submission Guidelines
Paper Format
ISE accepts papers in two formats.
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.
Industry papers (2-4 pages)
Results, challenges, lessons learned from industrial applications of Intelligent Software Engineering.
Instruction for Authors
Papers can be submitted in Portuguese or English. Submission in English is strongly encouraged. The acceptance of a paper implies that at least one of its authors will register at CBSoft 2022 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}
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 are not in compliance 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. 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.
Double-Blind Submission
ISE’2022 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 prior to 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 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 USP and Insper, and supported by VIRTUS/UFCG (virtus.ufcg.edu.br).
Chairs:
- Alfredo Goldman (gold@ime.usp.br)
- Graziela Simone Tonin (grazielast@insper.edu.br)
Publicity Chair:
- Renato Cordeiro Ferreira (renatocordeiroferreira@gmail.com)
Important Dates:
- Paper Submission: August 08, 2022
- Notification of Acceptance: September 09, 2022
- Camera-Ready: September 27, 2022
- Workshop Date: October 04, 2022
Keynote
Damian Andrew Tamburri
Associate Professor at TU/e - JADS
Short Bio:
Damian is an Associate Professor at the Eindhoven Univ. of Technology and Jheronimus Academy of Data Science, in s'Hertogenbosch, The Netherlands. Damian completed his Ph.D. at VU University Amsterdam, The Netherlands in March 2014 "with mention" one year in advance of a standard Ph.D. Contract. His research interests lie mainly in Complex Software and Data Architectures (with a focus on Data-Intensive Architectures, Cloud & Microservices as well as Machine-Learning & Computational Intelligence Architectures), Complex Software Architecture Properties (with a focus on Privacy & Security), and Empirical Software Engineering (with a focus on Organisational, Social, and Societal aspects with Qualitative Methods, social-networks analysis as well as Machine-Learning). Damian has published over 100+ papers in either Journals such as the Transactions on Software Engineering (TSE) Journal, The ACM Computing Surveys (CSUR) Journal, the IEEE Software Magazine or top software engineering conferences (such as ICSE or FSE) and top software architecture conferences (such as ECSA or WICSA). Also, Damian is an active contributor and lead research in many EU FP6, FP7, and H2020 projects, such as S-Cube, MODAClouds, SeaClouds, DICE, ANITA, DossierCLOUD, ProTECT, RADON, SODALITE, and more. In addition, Damian is IEEE Software and ACM TOSEM editorial board member, secretary of the TOSCA TC as well as secretary of the IFIP TC2, TC6, and TC8 WG on “Service-Oriented Computing”.
Danilo Sato
Head of data & AI Services UK and Europe
Short Bio:
As the Data service line lead for Thoughtworks, Danilo is responsible for building high-performing teams to solve our client’s most complex data problems. He leads technical projects in many areas of architecture and engineering, including software, data, infrastructure, and machine learning.
As an acknowledged thought-leader in the data space, Danilo has published books such as Devops in Practice, and has spoken at conferences around the world on data architecture and machine learning.
As an acknowledged thought-leader in the data space, Danilo has published books such as Devops in Practice, and has spoken at conferences around the world on data architecture and machine learning.
Best Paper Award
The authors of the best paper award will receive a special gift.
Program Committee
- Alvaro Sobrinho - UFAPE
- Angelo Perkusich - UFCG
- Danyllo Albuquerque - IFPB
- Eduardo Felipe Zambom Santana - Universidade de São Paulo
- Everton Guimaraes - Pennsylvania State University
- Felipe Ramos - Universidade Federal de Campina Grande
- Guilherme Travassos - COPPE/UFRJ
- Kiev Gama - CIn-UFPE
- Mirko Perkusich - UFCG
Program
- 08:00 - 08:10 - Opening
- 08:10 - 08:55 - Session: Accepted Research Papers Presentation
- 08:10 - 08:25 - "A Data-driven Framework to Support Team Formation in Software Projects". Felipe Cunha, Thiago Rique, Mirko Perkusich, Kyller Gorgônio, Hyggo Almeida, Angelo Perkursich.
- 08:25 - 08:40 - “Shedding Light on How Intelligent Techniques can Support Technical Debt Management and Influence Software Quality Attributes”. Danyllo Albuquerque, Ferdinandy Chagas, Everton Guimarães, Graziela Tonin, Mirko Perkusich, Hyggo Almeida, Angelo Perkusich.
- 08:40 - 08:55 - “A recommender system-based approach to risk management in Scrum projects”. Ademar Souza Neto, Mirko Perkusich, Emanuel Dantas, Felipe Ramos, Alexandre Costa, Hyggo Almeida, Angelo Perkusich.
- 09:00 - 09:50 - Keynote by Damian
- 09:50 - 10:00 - Break
- 10:00 - 10:45 - Session: Accepted Industry Papers Presentation
- 10:00 - 10:15 - “Building an Intelligent System for Respiratory Insufficiency Detection.” Renato Cordeiro Ferreira, Dayanne Gomes, Vitor Tamae, Francisco Eugênio Wernke, Alfredo Goldman.
- 10:15 - 10:30 - “Unidade de Processamento Neural Extensível a Partir de um Dispositivo Lógico Programável”. Thiago Cruz, Jemerson Damásio, Danilo Santos, Mirko Perkusich, Danyllo Albuquerque, Hyggo Almeida.
- 10:30 - 10:45 - Break
- 10:45 - 11:45 - Keynote Danilo Sato - Title: Entrega Contínua para Machine Learning (CD4ML)
- 11:50 - 12:00 - Closing