Marcos Kalinowski

About Marcos Kalinowski

Marcos Kalinowski, With an exceptional h-index of 32 and a recent h-index of 24 (since 2020), a distinguished researcher at Pontifícia Universidade Católica do Rio de Janeiro, specializes in the field of Empirical Software Engineering, SE4AI, Human Factors in SE, Requirements Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Guest editorial: special issue on empirical software engineering and measurement

Can participation in a hackathon impact the motivation of software engineering students? A preliminary case study analysis

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems

On the Interaction Between Software Engineers and Data Scientists When Building Machine Learning-Enabled Systems

Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding

Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach

Emerging Results on Automated Support for Searching and Selecting Evidence for Systematic Literature Review Updates

On the Usefulness of Automatically Generated Microservice Architectures

Marcos Kalinowski Information

University

Position

Professor (PUC-Rio)

Citations(all)

3103

Citations(since 2020)

2213

Cited By

1463

hIndex(all)

32

hIndex(since 2020)

24

i10Index(all)

73

i10Index(since 2020)

44

Email

University Profile Page

Google Scholar

Marcos Kalinowski Skills & Research Interests

Empirical Software Engineering

SE4AI

Human Factors in SE

Requirements Engineering

Top articles of Marcos Kalinowski

Title

Journal

Author(s)

Publication Date

Guest editorial: special issue on empirical software engineering and measurement

Empirical Software Engineering

Maria Teresa Baldassarre

Marcos Kalinowski

2024/1

Can participation in a hackathon impact the motivation of software engineering students? A preliminary case study analysis

arXiv preprint arXiv:2402.05339

Allysson Allex Araújo

Marcos Kalinowski

Maria Teresa Baldassarre

2024/2/8

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems

arXiv preprint arXiv:2402.05333

Eduardo Zimelewicz

Marcos Kalinowski

Daniel Mendez

Görkem Giray

Antonio Pedro Santos Alves

...

2024/2/8

On the Interaction Between Software Engineers and Data Scientists When Building Machine Learning-Enabled Systems

Gabriel Busquim

Hugo Villamizar

Maria Julia Lima

Marcos Kalinowski

2024/4/12

Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding

arXiv preprint arXiv:2402.05337

Raphael Cabral

Marcos Kalinowski

Maria Teresa Baldassarre

Hugo Villamizar

Tatiana Escovedo

...

2024/2/8

Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach

Journal of Systems and Software

Hugo Villamizar

Marcos Kalinowski

Hélio Lopes

Daniel Mendez

2024/4/6

Emerging Results on Automated Support for Searching and Selecting Evidence for Systematic Literature Review Updates

Bianca Minetto Napoleão

Ritika Sarkar

Sylvain Hallé

Fabio Petrillo

Marcos Kalinowski

2024/2/7

On the Usefulness of Automatically Generated Microservice Architectures

IEEE Transactions on Software Engineering

Luiz Carvalho

Thelma Elita Colanzi

Wesley KG Assunção

Alessandro Garcia

Juliana Alves Pereira

...

2024/2/1

Professional Insights into Benefits and Limitations of Implementing MLOps Principles

arXiv preprint arXiv:2403.13115

Gabriel Araujo

Marcos Kalinowski

Markus Endler

Fabio Calefato

2024/3/19

A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools

Kelly Azevedo

Luigi Quaranta

Fabio Calefato

Marcos Kalinowski

2024/1/21

POLARIS: A framework to guide the development of Trustworthy AI systems

arXiv preprint arXiv:2402.05340

Maria Teresa Baldassarre

Domenico Gigante

Marcos Kalinowski

Azzurra Ragone

2024/2/8

Machine Learning Applied to Open Government Data for the Detection of Improprieties in the Application of Public Resources

Ramon Vaqueiro

Ana Vargas

Tatiana Escovedo

Marcos Kalinowski

2023/5/29

Negative effects of gamification in education software: Systematic mapping and practitioner perceptions

Information and Software Technology

Cláuvin Almeida

Marcos Kalinowski

Anderson Uchôa

Bruno Feijó

2023/4/1

A framework for enhancing industrial soft sensor learning models

Digital Chemical Engineering

João Guilherme Mattos

Patrick Nigri Happ

William Fernandes

Helio Côrtes Vieira Lopes

Simone DJ Barbosa

...

2023/7/21

Machine Learning Applied to the Classification of Technical Inspection Recommendations Regarding the Trend to Increase Criticality

Juan Pedro Carbonell-Rivera

Javier Estornell

Luis Ángel Ruiz

Jesús Torralba

Pablo Crespo-Peremarch

2021/6

Lessons learned to improve the UX practices in agile projects involving data science and process automation

Information and Software Technology

Bruna Ferreira

Silvio Marques

Marcos Kalinowski

Hélio Lopes

Simone DJ Barbosa

2023/3/1

Psychometric Instruments in Software Engineering Research on Personality: Status Quo After Fifty Years

Journal of Systems and Software

Danilo Almeida Felipe

Marcos Kalinowski

Daniel Graziotin

Jean Carlos Natividade

2023/9

Impostor Phenomenon in Software Engineers

arXiv preprint arXiv:2312.03966

Paloma Guenes

Rafael Tomaz

Marcos Kalinowski

Maria Teresa Baldassarre

Margaret-Anne Storey

2023/12/7

On the perceived relevance of critical internal quality attributes when evolving software features

Eduardo Fernandes

Marcos Kalinowski

2023/5/14

METHOD FOR DETECTING INACCURACIES AND GAPS AND FOR SUGGESTING DETERIORATION MECHANISMS AND ACTIONS IN INSPECTION REPORTS

2023/6/8

See List of Professors in Marcos Kalinowski University(Pontifícia Universidade Católica do Rio de Janeiro)

Co-Authors

academic-engine