| 2023 |
Livro |
Engenharia de Software para Ciência de Dados: Um guia de boas práticas com ênfase na construção de sistemas de Machine Learning em Python
Marcos KALINOWSKI; Tatiana ESCOVEDO; Hugo VILLAMIZAR; Hélio LOPES
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ISBN 9788555193347
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PS
Computer Science (miscellaneous)
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| 2023 |
Trabalho em evento |
On the Perceived Relevance of Critical Internal Quality Attributes When Evolving Software Features
Eduardo FERNANDES; Marcos KALINOWSKI
International Conference on Human Aspects in Software Engineering (CHASE)
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PS
Computer Science Applications
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| 2023 |
Trabalho em evento |
Machine Learning Applied to Open Government Data for the Detection of Improprieties in the Application of Public Resources
Ramon Dantas VAQUEIRO; Ana Caroline Gomes VARGAS; Tatiana ESCOVEDO; Marcos KALINOWSKI
Brazilian Symposium on Information Systems (SBSI)
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PS
Computer Science (miscellaneous)
|
| 2023 |
Trabalho em evento |
Inference of Properties of a Natural Gas Processing Plant Through the Application of Machine Learning to Time Series
Luciana Cruz SILVA; Marcelo Cardoso MARQUES; Marcos Vinicius De Carvalho GOMES; Tatiana ESCOVEDO; Marcos KALINOWSKI
Inference of Properties of a Natural Gas Processing Plant Through the Application of Machine Learning to Time Series
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PS
Computer Science Applications
|
| 2023 |
Trabalho em evento |
Machine Learning Applied to the Classification of Technical Inspection Recommendations Regarding the Trend to Increase Criticality
André Luis Azevedo AMARAL; André Luiz Ribeiro De ARAÚJO; Bruno TOMAZELA; Tatiana ESCOVEDO; Marcos KALINOWSKI
Brazilian Symposium on Information Systems (SBSI)
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SH
Education
|
| 2023 |
Trabalho em evento |
Optimizing Wireline Formation Testing in Oil Wells: A Data Science Approach
Marcelo ABBEHUSEN; Rodolfo RODRIGUES; Lucas OLIVEIRA; Tatiana ESCOVEDO; Marcos KALINOWSKI
Brazilian Symposium on Information Systems
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PS
Engineering (miscellaneous)
|
| 2023 |
Trabalho em evento |
Training the Professionals that Industry Needs: The Digital Software Engineering Education Program at PUC-Rio
Marcos KALINOWSKI; Tatiana ESCOVEDO; Fernanda PINA; Adriana VIDAL; Ariane Pereira Da SILVA et al
Brazilian Symposium on Software Engineering (SBES)
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PS
Engineering (miscellaneous)
|
| 2023 |
Trabalho em evento |
Assessing the Use of AutoML for Data-driven Software Engineering
Fabio CALEFATO; Luigi QUARANTA; Filippo LANUBILE; Marcos KALINOWSKI
International Symposium on Empirical Software Engineering and Measurement (ESEM)
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PS
Computer Science (miscellaneous)
|
| 2023 |
Trabalho em evento |
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey
Antonio Pedro Santos ALVES; Marcos KALINOWSKI; Görkem GIRAY; Daniel MENDEZ; Niklas LAVESSON et al
International Conference on Product-Focused Software Process Improvement (PROFES)
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PS
Software
|
| 2023 |
Artigo em periódico |
Lessons learned to improve the UX practices in agile projects involving data science and process automation
Ferreira BRUNA; Marques SILVIO; Marcos KALINOWSKI; Lopes HÉLIO; Barbosa Simone D J
INFORMATION AND SOFTWARE TECHNOLOGY
DOI 10.1016/j.infsof.2022.107106
ISSN 0950-5849
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PS
Computer Science (miscellaneous)
|
| 2023 |
Artigo em periódico |
Negative effects of gamification in education software: Systematic mapping and practitioner perceptions
Almeida CLÁUVIN; Marcos KALINOWSKI; Uchôa ANDERSON; Feijó BRUNO
INFORMATION AND SOFTWARE TECHNOLOGY
DOI 10.1016/j.infsof.2022.107142
ISSN 0950-5849
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PS
Computer Science (miscellaneous)
|
| 2023 |
Artigo em periódico |
A systematic mapping study and practitioner insights on the use of software engineering practices to develop MVPs
Alonso SILVIO; Marcos KALINOWSKI; Ferreira BRUNA; Barbosa Simone D J; Lopes HÉLIO
INFORMATION AND SOFTWARE TECHNOLOGY
DOI 10.1016/j.infsof.2022.107144
ISSN 0950-5849
|
PS
Computer Science (miscellaneous)
|
| 2023 |
Artigo em periódico |
Psychometric instruments in software engineering research on personality: Status quo after fifty years
Felipe Danilo ALMEIDA; Marcos KALINOWSKI; Graziotin DANIEL; Natividade Jean CARLOS
JOURNAL OF SYSTEMS AND SOFTWARE
DOI 10.1016/j.jss.2023.111740
ISSN 0164-1212
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SH
Psychology (miscellaneous)
|
| 2023 |
Artigo em periódico |
A Framework for Enhancing Industrial Soft Sensor Learning Models
Mattos João GUILHERME; Happ Patrick NIGRI; Fernandes WILLIAM; Lopes Helio Côrtes VIEIRA; Barbosa Simone D J et al
Digital Chemical Engineering
DOI 10.1016/j.dche.2023.100112
ISSN 2772-5081
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PS
Computer Science Applications
|
| 2022 |
Trabalho em evento |
Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow
Anna Luiza GOMES; Getúlio VIANNA; Tatiana ESCOVEDO; Marcos KALINOWSKI
Simpósio Brasileiro de Sistemas de Informação (SBSI)
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SH
Psychology (miscellaneous)
|
| 2022 |
Trabalho em evento |
A Catalogue of Concerns for Specifying Machine Learning-Enabled Systems
Hugo VILLAMIZAR; Marcos KALINOWSKI; Hélio LOPES
Workshop on Requirements Engineering (WER)
|
PS
Computer Science (miscellaneous)
|
| 2022 |
Trabalho em evento |
Towards Perspective-Based Specification of Machine Learning-Enabled Systems
Hugo VILLAMIZAR; Marcos KALINOWSKI; Hélio LOPES
Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA)
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PS
Computer Science (miscellaneous)
|
| 2022 |
Trabalho em evento |
Towards Continuous Systematic Literature Review in Software Engineering
Bianca Minetto NAPOLEÃO; Fabio PETRILLO; Sylvain HALLÉ; Marcos KALINOWSKI
Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA)
|
PS
Computer Science (miscellaneous)
|
| 2022 |
Trabalho em evento |
Machine Learning Aplicado à Predição da Obrigação de Investimento em P;D&I
Flávia BRAVO; Luciana SOUSA; Tatiana ESCOVEDO; Hélio LOPES; Marcos KALINOWSKI
Simpósio Brasileiro de Banco de Dados (SBBD)
|
SH
Education
|
| 2022 |
Trabalho em evento |
Mineração de Processos Aplicada à Auditoria Interna na Marinha do Brasil
Marcos Alexandre CASTRO; Nelson Souza JR; Tatiana ESCOVEDO; Hélio LOPES; Marcos KALINOWSKI
Simpósio Brasileiro de Banco de Dados (SBBD)
|
PS
Information Systems
|
| 2022 |
Trabalho em evento |
Padronização da Descrição de Produtos Comerciais utilizando NER
Laércio LUCCHESI; Tatiana ESCOVEDO; Marcos KALINOWSKI
Simpósio Brasileiro de Banco de Dados (SBBD)
|
PS
Computer Science (miscellaneous)
|
| 2022 |
Artigo em periódico |
Cataloging dependency injection anti-patterns in software systems
Laigner RODRIGO; Mendonça DIOGO; Garcia ALESSANDRO; Marcos KALINOWSKI
JOURNAL OF SYSTEMS AND SOFTWARE
DOI 10.1016/j.jss.2021.111125
ISSN 0164-1212
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PS
Computer Science (miscellaneous)
|
| 2022 |
Artigo em periódico |
An empirical investigation on the challenges of creating custom static analysis rules for defect localization
Mendonça Diogo S; Marcos KALINOWSKI
SOFTWARE QUALITY JOURNAL
DOI 10.1007/s11219-021-09580-z
ISSN 0963-9314
|
PS
Computer Science (miscellaneous)
|
| 2022 |
Artigo em periódico |
Successful combination of database search and snowballing for identification of primary studies in systematic literature studies
Wohlin CLAES; Marcos KALINOWSKI; Romero Felizardo KATIA; Mendes EMILIA
INFORMATION AND SOFTWARE TECHNOLOGY
DOI 10.1016/j.infsof.2022.106908
ISSN 0950-5849
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SH
Education
|
| 2022 |
Artigo em periódico |
Machine Learning Aplicado ao Resultado de Pedido de Concessão de Benefícios do INSS - Análise Ampliada
Barchilon NEY; Escovedo TATIANA; Marcos KALINOWSKI
iSys - Revista Brasileira de Sistemas de Informação
DOI 10.5753/isys.2022.2224
ISSN 1984-2902
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SH
Education
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