| 2024 |
Trabalho em evento |
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems
Eduardo ZIMELEWICZ; Marcos KALINOWSKI; Daniel MENDEZ; Görkem GIRAY; Antonio Pedro Santos ALVES et al
Software Quality Days (SWQD)
|
PS
Software
|
| 2024 |
Trabalho em evento |
Emerging Results on Automated Support for Searching and Selecting Evidence for Systematic Literature Review Updates
Bianca Minetto NAPOLEÃO; Ritika SARKAR; Marcos KALINOWSKI; Sylvain HALLÉ; Fabio PETRILLO
International Workshop on Methodological Issues with Empirical Studies in Software Engineering (WSESE@ICSE)
|
PS
General Computer Science
|
| 2024 |
Trabalho em evento |
Investigating Predicting Voluntary Resignation Program Participation with Machine Learning
Ezequiel Mule JORGE; Lúcio Tales BARBIERI; Tatiana ESCOVEDO; Marcos KALINOWSKI
Simpósio Brasileiro de Sistemas de Informação (SBSI)
|
PS
General Computer Science
|
| 2024 |
Trabalho em evento |
Machine Learning Applied in the Construction of a Disability Retirement Entry Table of the General Social Security Regime (RGPS) of Brazil
Gustavo MORAIS; Tatiana ESCOVEDO; Marcos KALINOWSKI
Simpósio Brasileiro de Sistemas de Informação (SBSI)
|
PS
General Computer Science
|
| 2024 |
Trabalho em evento |
Professional Insights into Benefits and Limitations of Implementing MLOps Principles
Gabriel ARAUJO; Marcos KALINOWSKI; Markus ENDLER; Fabio CALEFATO
International Conference on Enterprise Information Systems (ICEIS)
|
PS
General Computer Science
|
| 2024 |
Trabalho em evento |
Caminhos do Interior: Connecting Information Systems; Tourism; and Regional Development in Brazil?s Inland
Allysson Allex ARAÚJO; Joel SOUSA; Vicente DUARTE; Thiago BESSA; Marcos KALINOWSKI
Simpósio Brasileiro de Sistemas de Informação (SBSI) - Trilha de Indústria e Inovação em SI
|
PS
Information Systems
|
| 2024 |
Trabalho em evento |
Implantando uma Metodologia de Ensino a Distância Baseada em MVPs e Integrada com as Necessidades do Mercado
Marcos KALINOWSKI; Tatiana ESCOVEDO; Hélio LOPES; Simone BARBOSA; Adriana VIDAL
Workshop sobre Educação em Computação (CSBC 2024 - WEI 2024)
|
SH
Accounting
|
| 2024 |
Trabalho em evento |
Understanding and measuring software engineer behavior: What can we learn from the behavioral sciences?
Allysson Allex ARAÚJO; Daniel GRAZIOTIN; Marcos KALINOWSKI
Workshop sobre Aspectos Sociais; Humanos e Econômicos de Software (CSBC 2024 - WASHES 2024)
|
PS
General Computer Science
|
| 2024 |
Trabalho em evento |
Trustworthy AI in Practice: An Analysis of Practitioners? Needs and Challenges
Maria Teresa BALDASSARRE; Domenico GIGANTE; Marcos KALINOWSKI; Azzurra RAGONE; Sara TIBIDÒ
International Conference on Evaluation and Assessment in Software Engineering (EASE)
|
PS
General Computer Science
|
| 2024 |
Trabalho em evento |
Enriquecimento de Dados com Base em Estatísticas de Grafo de Similaridade para Melhorar o Desempenho em Modelos de ML Supervisionados de Classificação
Barchilon NEY; Hélio LOPES; Marcos KALINOWSKI; Jefry Sastre PÉREZ
Brazilian Symposium on Databases (SBBD)
|
SH
Accounting
|
| 2024 |
Trabalho em evento |
Agile Minds; Innovative Solutions; and Industry-Academia Collaboration: Lean R&D Meets Problem-Based Learning in Software Engineering Education
Lucas ROMAO; Marcos KALINOWSKI; Clarissa BARBOSA; Allysson Allex ARAÚJO; Simone Diniz Junqueira BARBOSA et al
Brazilian Symposium on Software Engineering (SBES)
|
PS
Computer Science Applications
|
| 2024 |
Trabalho em evento |
Towards Effective Collaboration between Software Engineers and Data Scientists developing Machine Learning-Enabled Systems
Gabriel BUSQUIM; Allysson Allex ARAÚJO; Maria Júlia De LIMA; Marcos KALINOWSKI
Brazilian Symposium on Software Engineering (SBES)
|
PS
Software
|
| 2024 |
Trabalho em evento |
Investigating Benefits and Limitations of Migrating to a Micro-Frontends Architecture
Fábio ANTUNES; Maria Júlia De LIMA; Marco Antônio Pereira ARAÚJO; Davide TAIBI; Marcos KALINOWSKI
Brazilian Symposium on Software Engineering (SBES)
|
PS
Computer Science Applications
|
| 2024 |
Trabalho em evento |
Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil
Antonio Pedro Santos ALVES; Marcos KALINOWSKI; Daniel MENDEZ; Hugo VILLAMIZAR; Kelly AZEVEDO et al
Brazilian Symposium on Software Engineering (SBES)
|
PS
Computer Science Applications
|
| 2024 |
Trabalho em evento |
Impostor Phenomenon in Software Engineers
Paloma GUENES; Marcos KALINOWSKI; Maria Teresa BALDASSARRE
Concurso de Teses e Dissertações (CTD-ES) - Brazilian Symposium on Software Engineering (SBES)
|
PS
Computer Science Applications
|
| 2024 |
Trabalho em evento |
Identifying Concerns When Specifying Machine Learning-Enabled Systems: A Perspective-Based Approach
Hugo VILLAMIZAR; Marcos KALINOWSKI
Concurso de Teses e Dissertações (CTD-ES) - Brazilian Symposium on Software Engineering (SBES)
|
PS
Computer Science Applications
|
| 2024 |
Trabalho em evento |
Uma Análise da Necessidade de um Modelo de Referência MPS para Inteligência Artificial
Antonio Pedro Santos ALVES; Julia ARAUJO; Marina ARAUJO; Wallace ALBERTINI; Marcos KALINOWSKI
Workshop Anual de Melhoria de Processos de Software (WAMPS)
|
PS
Computer Science (miscellaneous)
|
| 2024 |
Trabalho em evento |
Requirements Engineering for ML-Enabled Systems: Status Quo and Problems
Antonio Pedro Santos ALVES; Marcos KALINOWSKI; Daniel MENDEZ
Concurso de Teses e Dissertações em Qualidade de Software (CTDQS) - Brazilian Symposium on Software Quality (SBQS)
|
PS
Computer Science Applications
|
| 2024 |
Trabalho em evento |
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding
Raphael CABRAL; Marcos KALINOWSKI
Concurso de Teses e Dissertações em Qualidade de Software (CTDQS) - Brazilian Symposium on Software Quality (SBQS)
|
PS
Computer Science Applications
|
| 2024 |
Trabalho em evento |
Identifying Concerns When Specifying Machine Learning-Enabled Systems: A Perspective-Based Approach
Hugo VILLAMIZAR; Marcos KALINOWSKI
Concurso de Teses e Dissertações em Qualidade de Software (CTDQS) - Brazilian Symposium on Software Quality (SBQS)
|
PS
Artificial Intelligence
|
| 2024 |
Artigo em periódico |
On the Usefulness of Automatically Generated Microservice Architectures
Carvalho LUIZ; Colanzi Thelma ELITA; Assunção Wesley K G; Garcia ALESSANDRO; Pereira Juliana ALVES et al
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
DOI 10.1109/tse.2024.3361209
ISSN 0098-5589
|
PS
Software
|
| 2024 |
Artigo em periódico |
Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach
Villamizar HUGO; Marcos KALINOWSKI; Lopes HÉLIO; Mendez DANIEL
JOURNAL OF SYSTEMS AND SOFTWARE
DOI 10.1016/j.jss.2024.112053
ISSN 0164-1212
|
PS
Software
|
| 2024 |
Artigo em periódico |
Guest editorial: special issue on empirical software engineering and measurement
Baldassarre Maria TERESA; Marcos KALINOWSKI
EMPIRICAL SOFTWARE ENGINEERING
DOI 10.1007/s10664-023-10357-0
ISSN 1382-3256
|
PS
Software
|
| 2024 |
Artigo em periódico |
Investigating the online recruitment and selection journey of novice software engineers: Anti-patterns and recommendations
Setúbal MIGUEL; Conte TAYANA; Marcos KALINOWSKI; Allex Araújo ALLYSSON
EMPIRICAL SOFTWARE ENGINEERING
DOI 10.1007/s10664-024-10498-w
ISSN 1382-3256
|
PS
General Computer Science
|
| 2023 |
Capítulo de livro |
Controlled Experimentation of Software Product Lines
Viviane FURTADO; Henrique VIGNANDO; Carlos D LUZ; Igor STEINMACHER; Marcos KALINOWSKI et al
UML-Based Software Product Line Engineering with SMarty
DOI 10.1007/978-3-031-18556-4_19
ISBN 9783031185557
|
PS
Computer Science Applications
|
