Marcos Kalinowski

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 164

Top Venues

Publications

Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski, Azzurra Ragone, Sara Tibidò
Trustworthy AI in practice: an analysis of practitioners' needs and challenges. EASE (2024)
Eduardo Zimelewicz, Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Juergen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. CoRR (2024)
Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski, Azzurra Ragone, Sara Tibidò
Trustworthy AI in practice: an analysis of practitioners' needs and challenges. CoRR (2024)
Allysson Allex Araújo, Marcos Kalinowski, Maria Teresa Baldassarre
Can participation in a hackathon impact the motivation of software engineering students? A preliminary case study analysis. CHASE@ICSE (2024)
Miguel Setúbal, Tayana Conte, Marcos Kalinowski, Allysson Allex Araújo
Investigating the Online Recruitment and Selection Journey of Novice Software Engineers: Anti-patterns and Recommendations. CoRR (2024)
Gabriel Busquim, Allysson Allex Araújo, Maria Julia de Lima, Marcos Kalinowski
Towards Effective Collaboration between Software Engineers and Data Scientists developing Machine Learning-Enabled Systems. CoRR (2024)
Antonio Pedro Santos Alves, Marcos Kalinowski, Daniel Méndez, Hugo Villamizar, Kelly Azevedo, Tatiana Escovedo, Hélio Lopes
Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil. CoRR (2024)
Marcos Kalinowski, Allysson Allex Araújo, Daniel Méndez
Teaching Survey Research in Software Engineering. CoRR (2024)
Gabriel Araujo, Marcos Kalinowski, Markus Endler, Fabio Calefato
Professional Insights into Benefits and Limitations of Implementing MLOps Principles. CoRR (2024)
Gabriel Busquim, Hugo Villamizar, Maria Julia de Lima, Marcos Kalinowski
On the Interaction Between Software Engineers and Data Scientists When Building Machine Learning-Enabled Systems. SWQD (2024)
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes, Daniel Méndez
Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach. J. Syst. Softw. 213 (2024)
Gabriel Araujo, Marcos Kalinowski, Markus Endler, Fabio Calefato
Professional Insights into Benefits and Limitations of Implementing MLOps Principles. ICEIS (2) (2024)
Miguel Setúbal, Tayana Conte, Marcos Kalinowski, Allysson Allex Araújo
Investigating the online recruitment and selection journey of novice software engineers: Anti-patterns and recommendations. Empir. Softw. Eng. 29 (5) (2024)
Bianca Minetto Napoleão, Ritika Sarkar, Sylvain Hallé, Fábio Petrillo, Marcos Kalinowski
Emerging Results on Automated Support for Searching and Selecting Evidence for Systematic Literature Review Updates. CoRR (2024)
Fabio Antunes, Maria Julia Dias de Lima, Marco Antônio Pereira Araújo, Davide Taibi, Marcos Kalinowski
Investigating Benefits and Limitations of Migrating to a Micro-Frontends Architecture. CoRR (2024)
Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski, Azzurra Ragone
POLARIS: A framework to guide the development of Trustworthy AI systems. CoRR (2024)
Luiz Carvalho, Thelma Elita Colanzi, Wesley K. G. Assunção, Alessandro F. Garcia, Juliana Alves Pereira, Marcos Kalinowski, Rafael Maiani de Mello, Maria Julia de Lima, Carlos Lucena
On the Usefulness of Automatically Generated Microservice Architectures. IEEE Trans. Software Eng. 50 (3) (2024)
Lucas Romao, Marcos Kalinowski, Clarissa Barbosa, Allysson Allex Araújo, Simone D. J. Barbosa, Hélio Lopes
Agile Minds, Innovative Solutions, and Industry-Academia Collaboration: Lean R&D Meets Problem-Based Learning in Software Engineering Education. CoRR (2024)
Gabriel Busquim, Hugo Villamizar, Maria Julia Lima, Marcos Kalinowski
On the Interaction between Software Engineers and Data Scientists when building Machine Learning-Enabled Systems. CoRR (2024)
Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding. CAIN (2024)
Maria Teresa Baldassarre, Marcos Kalinowski
Guest editorial: special issue on empirical software engineering and measurement. Empir. Softw. Eng. 29 (1) (2024)
Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding. CoRR (2024)
Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Kelly Azevedo, Tatiana Escovedo, Hugo Villamizar, Hélio Lopes, Maria Teresa Baldassarre, Stefan Wagner, Stefan Biffl, Jürgen Musil, Michael Felderer, Niklas Lavesson, Tony Gorschek
Naming the Pain in Machine Learning-Enabled Systems Engineering. CoRR (2024)
Kelly Azevedo, Luigi Quaranta, Fabio Calefato, Marcos Kalinowski
A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools. CoRR (2024)
Allysson Allex Araújo, Marcos Kalinowski, Daniel Graziotin
Understanding and measuring software engineer behavior: What can we learn from the behavioral sciences? CoRR (2024)
Ezequiel Mule Jorge, Lúcio Tales Barbieri, Tatiana Escovedo, Marcos Kalinowski
Investigating Predicting Voluntary Resignation Program Participation with Machine Learning. SBSI (2024)
Paloma Guenes, Rafael Tomaz, Marcos Kalinowski, Maria Teresa Baldassarre, Margaret-Anne D. Storey
Impostor Phenomenon in Software Engineers. ICSE (SEIS) (2024)
Gustavo Morais, Tatiana Escovedo, Marcos Kalinowski
Machine Learning Applied in the Construction of a Disability Retirement Entry Table of the General Social Security Regime (RGPS) of Brazil. SBSI (2024)
Allysson Allex Araújo, Marcos Kalinowski, Maria Teresa Baldassarre
Can participation in a hackathon impact the motivation of software engineering students? A preliminary case study analysis. CoRR (2024)
Eduardo Zimelewicz, Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Juergen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. SWQD (2024)
Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski, Azzurra Ragone
POLARIS: A Framework to Guide the Development of Trustworthy AI Systems. CAIN (2024)
Eduardo Fernandes, Marcos Kalinowski
On the perceived relevance of critical internal quality attributes when evolving software features. CoRR (2023)
Ramon Vaqueiro, Ana Vargas, Tatiana Escovedo, Marcos Kalinowski
Machine Learning Applied to Open Government Data for the Detection of Improprieties in the Application of Public Resources. SBSI (2023)
Cláuvin Almeida, Marcos Kalinowski, Anderson Uchôa, Bruno Feijó
Negative Effects of Gamification in Education Software: Systematic Mapping and Practitioner Perceptions. CoRR (2023)
Eduardo Fernandes, Marcos Kalinowski
On the perceived relevance of critical internal quality attributes when evolving software features. CHASE (2023)
Silvio Alonso, Marcos Kalinowski, Bruna Ferreira, Simone D. J. Barbosa, Hélio Lopes
A Systematic Mapping Study and Practitioner Insights on the Use of Software Engineering Practices to Develop MVPs. CoRR (2023)
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes, Daniel Méndez
Identifying Concerns When Specifying Machine Learning-Enabled Systems: A Perspective-Based Approach. CoRR (2023)
Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray, Daniel Méndez, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Jürgen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. PROFES (1) (2023)
Claes Wohlin, Marcos Kalinowski, Katia Romero Felizardo, Emilia Mendes
Successful Combination of Database Search and Snowballing for Identification of Primary Studies in Systematic Literature Studies. CoRR (2023)
Luciana 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. SBSI (2023)
Marcelo Abbehusen, Rodolfo Rodrigues, Lucas Oliveira, Tatiana Escovedo, Marcos Kalinowski
Optimizing Wireline Formation Testing in Oil Wells: A Data Science approach. SBSI (2023)
Bruna Ferreira, Silvio Marques, Marcos Kalinowski, Hélio Lopes, Simone D. J. Barbosa
Lessons learned to improve the UX practices in agile projects involving data science and process automation. Inf. Softw. Technol. 155 (2023)
Marcos Kalinowski, Tatiana Escovedo, Fernanda Pina, Adriana Vidal, Ariane Pereira Da Silva, Ricardo Ponsirenas, Daiana Garibaldi Da Rocha
Training the Professionals that Industry Needs: The Digital Software Engineering Education Program at PUC-Rio. SBES (2023)
Fabio Calefato, Luigi Quaranta, Filippo Lanubile, Marcos Kalinowski
Assessing the Use of AutoML for Data-Driven Software Engineering. CoRR (2023)
Fabio Calefato, Luigi Quaranta, Filippo Lanubile, Marcos Kalinowski
Assessing the Use of AutoML for Data-Driven Software Engineering. ESEM (2023)
Paloma Guenes, Rafael Tomaz, Marcos Kalinowski, Maria Teresa Baldassarre, Margaret-Anne D. Storey
Impostor Phenomenon in Software Engineers. CoRR (2023)
Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray, Daniel Méndez, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Jürgen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. CoRR (2023)
Silvio Alonso, Marcos Kalinowski, Bruna Ferreira, Simone D. J. Barbosa, Hélio Lopes
A systematic mapping study and practitioner insights on the use of software engineering practices to develop MVPs. Inf. Softw. Technol. 156 (2023)
André Amaral, André Araújo, Bruno Tomazela, Tatiana Escovedo, Marcos Kalinowski
Machine Learning Applied to the Classification of Technical Inspection Recommendations Regarding the Trend to Increase Criticality. SBSI (2023)
Cláuvin Almeida, Marcos Kalinowski, Anderson Uchôa, Bruno Feijó
Negative effects of gamification in education software: Systematic mapping and practitioner perceptions. Inf. Softw. Technol. 156 (2023)
Danilo Almeida Felipe, Marcos Kalinowski, Daniel Graziotin, Jean Carlos Natividade
Psychometric instruments in software engineering research on personality: Status quo after fifty years. J. Syst. Softw. 203 (2023)
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes
Towards Perspective-Based Specification of Machine Learning-Enabled Systems. SEAA (2022)
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes
Towards Perspective-Based Specification of Machine Learning-Enabled Systems. CoRR (2022)
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes
A Catalogue of Concerns for Specifying Machine Learning-Enabled Systems. CoRR (2022)
Flávia Bravo, Luciana Sousa, Tatiana Escovedo, Hélio Lopes, Marcos Kalinowski
Machine Learning Aplicado à Predição da Obrigação do Investimento em P, D&I. SBBD (2022)
Claes Wohlin, Marcos Kalinowski, Katia Romero Felizardo, Emilia Mendes
Successful combination of database search and snowballing for identification of primary studies in systematic literature studies. Inf. Softw. Technol. 147 (2022)
Marcos Alexandre Castro, Nelson Souza Jr, Tatiana Escovedo, Hélio Lopes, Marcos Kalinowski
Mineração de Processos Aplicada à Auditoria Interna na Marinha do Brasil. SBBD (2022)
Ney Barchilon, Tatiana Escovedo, Marcos Kalinowski
Machine Learning Aplicado ao Resultado de Pedido de Concessão de Benefícios do INSS - Análise Ampliada. Braz. J. Inf. Syst. 15 (1) (2022)
Anna Luiza Gomes, Getúlio Vianna, Tatiana Escovedo, Marcos Kalinowski
Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow. CoRR (2022)
Anna Luiza Gomes, Getúlio Vianna, Tatiana Escovedo, Marcos Kalinowski
Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow. SBSI (2022)
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes
A Catalogue of Concerns for Specifying Machine Learning-Enabled Systems. WER 2022 (2022)
José Douglas Nascimento, Tatiana Escovedo, Marcos Kalinowski
Construção de Tábuas de Mortalidade com o uso de Redes Neurais LSTM Bidirectional para Predição das Probabilidades de Morte. Braz. J. Inf. Syst. 15 (1) (2022)
Diogo S. Mendonça, Marcos Kalinowski
An empirical investigation on the challenges of creating custom static analysis rules for defect localization. Softw. Qual. J. 30 (3) (2022)
Rodrigo Laigner, Diogo S. Mendonça, Alessandro F. Garcia, Marcos Kalinowski
Cataloging dependency injection anti-patterns in software systems. J. Syst. Softw. 184 (2022)
Danilo Almeida Felipe, Marcos Kalinowski, Daniel Graziotin, Jean Carlos Natividade
Psychometric Instruments in Software Engineering Research on Personality: Status Quo After Fifty Years. CoRR (2022)
Bruna Ferreira, Silvio Marques, Marcos Kalinowski, Hélio Lopes, Simone D. J. Barbosa
Lessons Learned to Improve the UX Practices in Agile Projects Involving Data Science and Process Automation. CoRR (2022)
Bianca Minetto Napoleão, Fábio Petrillo, Sylvain Hallé, Marcos Kalinowski
Towards Continuous Systematic Literature Review in Software Engineering. SEAA (2022)
Laércio Lucchesi, Tatiana Escovedo, Marcos Kalinowski
Padronização da Descrição de Produtos Comerciais utilizando NER. SBBD (2022)
Marco Kuhrmann, Paolo Tell, Regina Hebig, Jil Klünder, Jürgen Münch, Oliver Linssen, Dietmar Pfahl, Michael Felderer, Christian R. Prause, Stephen G. MacDonell, Joyce Nakatumba-Nabende, David Raffo, Sarah Beecham, Eray Tüzün, Gustavo López, Nicolás Paez, Diego Fontdevila, Sherlock A. Licorish, Steffen Küpper, Günther Ruhe, Eric Knauss, Özden Özcan-Top, Paul M. Clarke, Fergal McCaffery, Marcela Genero, Aurora Vizcaíno, Mario Piattini, Marcos Kalinowski, Tayana Conte, Rafael Prikladnicki, Stephan Krusche, Ahmet Coskunçay, Ezequiel Scott, Fabio Calefato, Svetlana Pimonova, Rolf-Helge Pfeiffer, Ulrik Pagh Schultz, Rogardt Heldal, Masud Fazal-Baqaie, Craig Anslow, Maleknaz Nayebi, Kurt Schneider, Stefan Sauer, Dietmar Winkler, Stefan Biffl, Maria Cecilia Bastarrica, Ita Richardson
What Makes Agile Software Development Agile? IEEE Trans. Software Eng. 48 (9) (2022)
Bianca Minetto Napoleão, Fábio Petrillo, Sylvain Hallé, Marcos Kalinowski
Towards Continuous Systematic Literature Review in Software Engineering. CoRR (2022)
Danilo Almeida Felipe, Marcos Kalinowski
On Psychometric Instruments in Software Engineering Research: An Ongoing Study. CoRR (2021)
Cláuvin Almeida, Marcos Kalinowski, Bruno Feijó
A Systematic Mapping of Negative Effects of Gamification in Education/Learning Systems. SEAA (2021)
Rodrigo Laigner, Diogo S. Mendonça, Alessandro F. Garcia, Marcos Kalinowski
Cataloging Dependency Injection Anti-patterns in Software Systems. CoRR (2021)
Marco Kuhrmann, Paolo Tell, Regina Hebig, Jil Klünder, Jürgen Münch, Oliver Linssen, Dietmar Pfahl, Michael Felderer, Christian R. Prause, Stephen G. MacDonell, Joyce Nakatumba-Nabende, David Raffo, Sarah Beecham, Eray Tüzün, Gustavo López, Nicolás Paez, Diego Fontdevila, Sherlock A. Licorish, Steffen Küpper, Günther Ruhe, Eric Knauss, Özden Özcan-Top, Paul M. Clarke, Fergal McCaffery, Marcela Genero, Aurora Vizcaíno, Mario Piattini, Marcos Kalinowski, Tayana Conte, Rafael Prikladnicki, Stephan Krusche, Ahmet Coskunçay, Ezequiel Scott, Fabio Calefato, Svetlana Pimonova, Rolf-Helge Pfeiffer, Ulrik Pagh Schultz, Rogardt Heldal, Masud Fazal-Baqaie, Craig Anslow, Maleknaz Nayebi, Kurt Schneider, Stefan Sauer, Dietmar Winkler, Stefan Biffl, Maria Cecilia Bastarrica, Ita Richardson
What Makes Agile Software Development Agile? CoRR (2021)
Stefan Wagner, Daniel Méndez Fernández, Michael Felderer, Antonio Vetrò, Marcos Kalinowski, Roel J. Wieringa, Dietmar Pfahl, Tayana Conte, Marie-Therese Christiansson, Desmond Greer, Casper Lassenius, Tomi Männistö, Maleknaz Nayebi, Markku Oivo, Birgit Penzenstadler, Rafael Prikladnicki, Guenther Ruhe, André Schekelmann, Sagar Sen, Rodrigo O. Spínola, Ahmet Tuzcu, Jose Luis de la Vara, Dietmar Winkler
Status Quo in Requirements Engineering: A Theory and a Global Family of Surveys. Software Engineering (2021)
Hugo Villamizar, Tatiana Escovedo, Marcos Kalinowski
Requirements Engineering for Machine Learning: A Systematic Mapping Study. SEAA (2021)
Silvio Alonso, Marcos Kalinowski, Marx L. Viana, Bruna Ferreira, Simone D. J. Barbosa
A Systematic Mapping Study on the Use of Software Engineering Practices to Develop MVPs. SEAA (2021)
Viviane R. Furtado, Edson OliveiraJr, Marcos Kalinowski
Guidelines for Promoting Software Product Line Experiments. SBCARS (2021)
Bruna Ferreira, Marcos Kalinowski, Marcos Vinicius de Carvalho Gomes, Marcelo Cardoso Marques, Hélio Lopes, Simone D. J. Barbosa
Investigating Problem Definition and End-User Involvement in Agile Projects that Use Lean Inceptions. SBQS (2021)
Rodrigo N. Laigner, Yongluan Zhou, Marcos Antonio Vaz Salles, Yijian Liu, Marcos Kalinowski
Data Management in Microservices: State of the Practice, Challenges, and Research Directions. Proc. VLDB Endow. 14 (13) (2021)
Pedro Torres, André Davys, Thuener Silva, Luiz José Schirmer Silva, André Kuramoto, Bruno Itagyba, Cristiane Salgado, Sidney Comandulli, Patricia Ventura, Leonardo Fialho, Marinho Fischer, Marcos Kalinowski, Simone D. J. Barbosa, Hélio Lopes
A Robust Real-time Component for Personal Protective Equipment Detection in an Industrial Setting. ICEIS (1) (2021)
Rodrigo Laigner, Yongluan Zhou, Marcos Antonio Vaz Salles, Yijian Liu, Marcos Kalinowski
Data Management in Microservices: State of the Practice, Challenges, and Research Directions. CoRR (2021)
Bianca Rodrigues Teixeira, Bruna Ferreira, André Luiz Brandão de Damasceno, Simone D. J. Barbosa, Cassia Novello, Hugo Villamizar, Marcos Kalinowski, Thuener Silva, Jacques Chueke, Hélio Lopes, André Kuramoto, Bruno Itagyba, Cristiane Salgado, Sidney Comandulli, Marinho Fischer, Leonardo Fialho
Lessons Learned from a Lean R&D Project. ICEIS (2) (2021)
Lorenzo Saraiva, Edward Hermann Haeusler, Vaston G. Costa, Marcos Kalinowski
Non-Functional Requirements for Quantum Programs. Q-SET@QCE (2021)
Diogo Silveira Mendonça, Marcos Kalinowski
Towards Practical Reuse of Custom Static Analysis Rules for Defect Localization. SBQS (2020)
Mário André de Freitas Farias, Manoel Gomes de Mendonça Neto, Marcos Kalinowski, Rodrigo Oliveira Spínola
Identifying self-admitted technical debt through code comment analysis with a contextualized vocabulary. Inf. Softw. Technol. 121 (2020)
Fabiola Moyon, Pamela Almeida, Daniel Riofrío, Daniel Méndez, Marcos Kalinowski
Security Compliance in Agile Software Development: A Systematic Mapping Study. SEAA (2020)
Emilia Mendes, Claes Wohlin, Katia Romero Felizardo, Marcos Kalinowski
When to Update Systematic Literature Reviews in Software Engineering. CoRR (2020)
Érica Mourão, João Felipe Pimentel, Leonardo Murta, Marcos Kalinowski, Emilia Mendes, Claes Wohlin
On the Performance of Hybrid Search Strategies for Systematic Literature Reviews in Software Engineering. CoRR (2020)
Emilia Mendes, Claes Wohlin, Katia Romero Felizardo, Marcos Kalinowski
When to update systematic literature reviews in software engineering. J. Syst. Softw. 167 (2020)
Rodrigo Laigner, Marcos Kalinowski, Pedro Diniz, Leonardo Barros, Carlos Cassino, Melissa Lemos, Darlan Arruda, Sérgio Lifschitz, Yongluan Zhou
From a Monolithic Big Data System to a Microservices Event-Driven Architecture. SEAA (2020)
Marcos Kalinowski, Solon Tarso Batista, Hélio Lopes, Simone D. J. Barbosa, Marcus Poggi, Thuener Silva, Hugo Villamizar, Jacques Chueke, Bianca Rodrigues Teixeira, Juliana Alves Pereira, Bruna Ferreira, Rodrigo Lima, Gabriel da Silva Cardoso, Alex Furtado Teixeira, Jorge Alam Warrak, Marinho Fischer, André Kuramoto, Bruno Itagyba, Cristiane Salgado, Carlos Pelizaro, Deborah Lemes, Marcelo Silva da Costa, Marcus Waltemberg, Odnei Lopes
Towards Lean R&D: An Agile Research and Development Approach for Digital Transformation. SEAA (2020)
Claes Wohlin, Emilia Mendes, Katia Romero Felizardo, Marcos Kalinowski
Guidelines for the Search Strategy to Update Systematic Literature Reviews in Software Engineering. CoRR (2020)
Hugo Villamizar, Marcos Kalinowski, Alessandro Garcia, Daniel Méndez Fernández
An Efficient Approach for Reviewing Security-Related Aspects in Agile Requirements Specifications of Web Applications. CoRR (2020)
Alessandreia Marta de Oliveira, Troy C. Kohwalter, Marcos Kalinowski, Leonardo Murta, Vanessa Braganholo
XChange: A semantic diff approach for XML documents. Inf. Syst. 94 (2020)
Luiz Carlos da Fonseca Lage, Daniela G. Trevisan, Marcos Kalinowski
Dívida Técnica de Usabilidade em Projetos de Software: Um Estudo de Casos Múltiplos. Braz. J. Inf. Syst. 13 (2) (2020)
Hugo Villamizar, Marcos Kalinowski, Alessandro F. Garcia, Daniel Méndez
An efficient approach for reviewing security-related aspects in agile requirements specifications of web applications. Requir. Eng. 25 (4) (2020)
Claes Wohlin, Emilia Mendes, Katia Romero Felizardo, Marcos Kalinowski
Guidelines for the search strategy to update systematic literature reviews in software engineering. Inf. Softw. Technol. 127 (2020)
Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard, Rana Alkadhi
Pandemic programming. Empir. Softw. Eng. 25 (6) (2020)
Érica Mourão, João Felipe Pimentel, Leonardo Murta, Marcos Kalinowski, Emilia Mendes, Claes Wohlin
On the performance of hybrid search strategies for systematic literature reviews in software engineering. Inf. Softw. Technol. 123 (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marcos Kalinowski