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ORCIDMarcos Kalinowski
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- affiliation: Pontifical Catholic University of Rio de Janeiro, Brazil
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2020 – today
- 2024
[j32]Maria Teresa Baldassarre, Marcos Kalinowski:
Guest editorial: special issue on empirical software engineering and measurement. Empir. Softw. Eng. 29(1): 3 (2024)- [j31]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): 125 (2024) - [j30]Hugo Villamizar, Marcos Kalinowski, Hélio Lopes, Daniel Méndez:
Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach. J. Syst. Softw. 213: 112053 (2024) - [j29]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): 651-667 (2024) - [c108]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: 7-17 - [c107]Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski, Azzurra Ragone:
POLARIS: A Framework to Guide the Development of Trustworthy AI Systems. CAIN 2024: 200-210 - [c106]Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski, Azzurra Ragone, Sara Tibidò:
Trustworthy AI in practice: an analysis of practitioners' needs and challenges. EASE 2024: 293-302 - [c105]Gabriel Araujo, Marcos Kalinowski, Markus Endler, Fabio Calefato:
Professional Insights into Benefits and Limitations of Implementing MLOps Principles. ICEIS (2) 2024: 305-312 - [c104]Paloma Guenes, Rafael Tomaz, Marcos Kalinowski, Maria Teresa Baldassarre, Margaret-Anne D. Storey:
Impostor Phenomenon in Software Engineers. ICSE (SEIS) 2024: 96-106 - [c103]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: 103-108 - [c102]Ezequiel Mule Jorge, Lúcio Tales Barbieri, Tatiana Escovedo, Marcos Kalinowski:
Investigating Predicting Voluntary Resignation Program Participation with Machine Learning. SBSI 2024: 54:1-54:10 - [c101]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: 55:1-55:10 - [c100]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: 55-75 - [c99]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: 112-131 - [i54]Kelly Azevedo, Luigi Quaranta, Fabio Calefato, Marcos Kalinowski:
A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools. CoRR abs/2401.11366 (2024) - [i53]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 abs/2402.05317 (2024) - [i52]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 abs/2402.05333 (2024) - [i51]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. CoRR abs/2402.05334 (2024) - [i50]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 abs/2402.05337 (2024) - [i49]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 abs/2402.05339 (2024) - [i48]Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski, Azzurra Ragone:
POLARIS: A framework to guide the development of Trustworthy AI systems. CoRR abs/2402.05340 (2024) - [i47]Gabriel Araujo, Marcos Kalinowski, Markus Endler, Fabio Calefato:
Professional Insights into Benefits and Limitations of Implementing MLOps Principles. CoRR abs/2403.13115 (2024) - [i46]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 abs/2406.02487 (2024) - [i45]Allysson Allex Araújo, Marcos Kalinowski, Daniel Graziotin:
Understanding and measuring software engineer behavior: What can we learn from the behavioral sciences? CoRR abs/2406.03342 (2024) - [i44]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 abs/2406.04359 (2024) - [i43]Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski, Azzurra Ragone, Sara Tibidò:
Trustworthy AI in practice: an analysis of practitioners' needs and challenges. CoRR abs/2407.12135 (2024) - [i42]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 abs/2407.15821 (2024) - [i41]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 abs/2407.15829 (2024) - [i40]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 abs/2407.15982 (2024) - [i39]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 abs/2407.18977 (2024) - [i38]Marcos Kalinowski, Allysson Allex Araújo, Daniel Méndez:
Teaching Survey Research in Software Engineering. CoRR abs/2407.21127 (2024) - 2023
- [j28]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: 107106 (2023) - [j27]Cláuvin Almeida, Marcos Kalinowski, Anderson G. Uchôa, Bruno Feijó:
Negative effects of gamification in education software: Systematic mapping and practitioner perceptions. Inf. Softw. Technol. 156: 107142 (2023) - [j26]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: 107144 (2023) - [j25]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: 111740 (2023) - [c98]Fabio Calefato, Luigi Quaranta, Filippo Lanubile, Marcos Kalinowski:
Assessing the Use of AutoML for Data-Driven Software Engineering. ESEM 2023: 1-12 - [c97]Eduardo Fernandes, Marcos Kalinowski:
On the perceived relevance of critical internal quality attributes when evolving software features. CHASE 2023: 13-24 - [c96]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: 159-174 - [c95]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: 37-46 - [c94]André Amaral, André L. R. de 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: 17-27 - [c93]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: 102-111 - [c92]Marcelo Abbehusen, Rodolfo Rodrigues, Lucas Oliveira, Tatiana Escovedo, Marcos Kalinowski:
Optimizing Wireline Formation Testing in Oil Wells: A Data Science approach. SBSI 2023: 112-119 - [c91]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: 213-220 - [p2]Viviane R. Furtado, Henrique Vignando, Carlos Danilo Luz, Igor Fabio Steinmacher, Marcos Kalinowski, Edson OliveiraJr:
Controlled Experimentation of Software Product Lines. UML-Based Software Product Line Engineering with SMarty 2023: 417-443 - [e8]Giovanni Giachetti, Breno de França, Sheila S. Reinehr, Aurora Vizcaíno, Gleison Santos, José Ignacio Panach, Andrea Delgado, Marcos Kalinowski, Cecilia Apa, Silvana Moreno, Martín Solari, Diego Vallespir, Christian Quesada-López:
26th Iberoamerican Conference on Software Engineering, CIbSE 2023, Montevideo, Uruguay, April 24-28, 2023. Curran Associates 2023, ISBN 978-1-7138-5558-3 [contents] - [d1]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. Zenodo, 2023
- [i37]Eduardo Fernandes, Marcos Kalinowski:
On the perceived relevance of critical internal quality attributes when evolving software features. CoRR abs/2305.04301 (2023) - [i36]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 abs/2305.08299 (2023) - [i35]Cláuvin Almeida, Marcos Kalinowski, Anderson G. Uchôa, Bruno Feijó:
Negative Effects of Gamification in Education Software: Systematic Mapping and Practitioner Perceptions. CoRR abs/2305.08346 (2023) - [i34]Claes Wohlin, Marcos Kalinowski, Kátia Romero Felizardo, Emilia Mendes:
Successful Combination of Database Search and Snowballing for Identification of Primary Studies in Systematic Literature Studies. CoRR abs/2307.02612 (2023) - [i33]Fabio Calefato, Luigi Quaranta, Filippo Lanubile, Marcos Kalinowski:
Assessing the Use of AutoML for Data-Driven Software Engineering. CoRR abs/2307.10774 (2023) - [i32]Hugo Villamizar, Marcos Kalinowski, Hélio Lopes, Daniel Méndez:
Identifying Concerns When Specifying Machine Learning-Enabled Systems: A Perspective-Based Approach. CoRR abs/2309.07980 (2023) - [i31]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 abs/2310.06726 (2023) - [i30]Paloma Guenes, Rafael Tomaz, Marcos Kalinowski, Maria Teresa Baldassarre, Margaret-Anne D. Storey:
Impostor Phenomenon in Software Engineers. CoRR abs/2312.03966 (2023) - 2022
- [j24]Claes Wohlin, Marcos Kalinowski, Kátia Romero Felizardo, Emilia Mendes:
Successful combination of database search and snowballing for identification of primary studies in systematic literature studies. Inf. Softw. Technol. 147: 106908 (2022) - [j23]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) - [j22]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) - [j21]Rodrigo Laigner, Diogo S. Mendonça, Alessandro F. Garcia, Marcos Kalinowski:
Cataloging dependency injection anti-patterns in software systems. J. Syst. Softw. 184: 111125 (2022) - [j20]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): 781-808 (2022) - [j19]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, María Cecilia Bastarrica, Ita Richardson:
What Makes Agile Software Development Agile? IEEE Trans. Software Eng. 48(9): 3523-3539 (2022) - [c90]Hugo Villamizar, Marcos Kalinowski, Hélio Lopes:
Towards Perspective-Based Specification of Machine Learning-Enabled Systems. SEAA 2022: 112-115 - [c89]Bianca Minetto Napoleão, Fábio Petrillo, Sylvain Hallé, Marcos Kalinowski:
Towards Continuous Systematic Literature Review in Software Engineering. SEAA 2022: 467-474 - [c88]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: 216-228 - [c87]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: 241-253 - [c86]Laércio Lucchesi, Tatiana Escovedo, Marcos Kalinowski:
Padronização da Descrição de Produtos Comerciais utilizando NER. SBBD 2022: 445-450 - [c85]Anna Luiza Gomes, Getúlio Vianna, Tatiana Escovedo, Marcos Kalinowski:
Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow. SBSI 2022: 9:1-9:6 - [c84]Hugo Villamizar, Marcos Kalinowski, Hélio Lopes:
A Catalogue of Concerns for Specifying Machine Learning-Enabled Systems. WER 2022 - [i29]Hugo Villamizar, Marcos Kalinowski, Hélio Lopes:
A Catalogue of Concerns for Specifying Machine Learning-Enabled Systems. CoRR abs/2204.07662 (2022) - [i28]Bianca Minetto Napoleão, Fábio Petrillo, Sylvain Hallé, Marcos Kalinowski:
Towards Continuous Systematic Literature Review in Software Engineering. CoRR abs/2206.04177 (2022) - [i27]Hugo Villamizar, Marcos Kalinowski, Hélio Lopes:
Towards Perspective-Based Specification of Machine Learning-Enabled Systems. CoRR abs/2206.09760 (2022) - [i26]Anna Luiza Gomes, Getúlio Vianna, Tatiana Escovedo, Marcos Kalinowski:
Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow. CoRR abs/2208.13302 (2022) - [i25]Danilo Almeida Felipe, Marcos Kalinowski, Daniel Graziotin, Jean Carlos Natividade:
Psychometric Instruments in Software Engineering Research on Personality: Status Quo After Fifty Years. CoRR abs/2211.13817 (2022) - [i24]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 abs/2211.13827 (2022) - 2021
- [j18]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): 3348-3361 (2021) - [c83]Cláuvin Almeida, Marcos Kalinowski, Bruno Feijó:
A Systematic Mapping of Negative Effects of Gamification in Education/Learning Systems. SEAA 2021: 17-24 - [c82]Hugo Villamizar, Tatiana Escovedo, Marcos Kalinowski:
Requirements Engineering for Machine Learning: A Systematic Mapping Study. SEAA 2021: 29-36 - [c81]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: 62-69 - [c80]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: 345-352 - [c79]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: 693-700 - [c78]Lorenzo Saraiva, Edward Hermann Haeusler, Vaston G. Costa, Marcos Kalinowski:
Non-Functional Requirements for Quantum Programs. Q-SET@QCE 2021: 89-73 - [c77]Viviane R. Furtado, Edson OliveiraJr, Marcos Kalinowski:
Guidelines for Promoting Software Product Line Experiments. SBCARS 2021: 31-40 - [c76]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: 23 - [c75]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: 115-116 - [e7]Tayana Conte, Martín Solari, Sheila S. Reinehr, Rafael Prikladnicki, Nelly Condori-Fernández, Vítor E. Silva Souza, Natasha M. Costa Valentim, Silverio Martínez-Fernández, Marcela Genero, Marcos Kalinowski, Marcelo Jenkins, Alexandra Martínez, Christian Quesada-López:
24th Iberoamerican Conference on Software Engineering, CIbSE 2021, San Jose, Costa Rica, August 20 - September 3, 2021. Curran Associates 2021, ISBN 978-1-7138-3944-6 [contents] - [e6]Filippo Lanubile, Marcos Kalinowski, Maria Teresa Baldassarre:
ESEM '21: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Bari, Italy, October 11-15, 2021. ACM 2021, ISBN 978-1-4503-8665-4 [contents] - [i23]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 abs/2103.00170 (2021) - [i22]Danilo Almeida Felipe, Marcos Kalinowski:
On Psychometric Instruments in Software Engineering Research: An Ongoing Study. CoRR abs/2108.11988 (2021) - [i21]Rodrigo Laigner, Diogo S. Mendonça, Alessandro F. Garcia, Marcos Kalinowski:
Cataloging Dependency Injection Anti-patterns in Software Systems. CoRR abs/2109.04256 (2021) - [i20]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, María Cecilia Bastarrica, Ita Richardson:
What Makes Agile Software Development Agile? CoRR abs/2109.11435 (2021) - 2020
- [j17]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): 4927-4961 (2020) - [j16]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: 106270 (2020) - [j15]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: 106294 (2020) - [j14]Claes Wohlin, Emilia Mendes, Kátia Romero Felizardo, Marcos Kalinowski:
Guidelines for the search strategy to update systematic literature reviews in software engineering. Inf. Softw. Technol. 127: 106366 (2020) - [j13]Alessandreia Marta de Oliveira, Troy C. Kohwalter, Marcos Kalinowski, Leonardo Murta, Vanessa Braganholo:
XChange: A semantic diff approach for XML documents. Inf. Syst. 94: 101610 (2020) - [j12]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): 34-59 (2020) - [j11]Emilia Mendes, Claes Wohlin, Kátia Romero Felizardo, Marcos Kalinowski:
When to update systematic literature reviews in software engineering. J. Syst. Softw. 167: 110607 (2020) - [j10]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): 439-468 (2020) - [c74]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: 132-136 - [c73]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: 213-220 - [c72]Fabiola Moyon, Pamela Almeida, Daniel Riofrío, Daniel Méndez, Marcos Kalinowski:
Security Compliance in Agile Software Development: A Systematic Mapping Study. SEAA 2020: 413-420 - [c71]Marcos Kalinowski, Hélio Lopes, Alex Furtado Teixeira, Gabriel da Silva Cardoso, André Kuramoto, Bruno Itagyba, Solon Tarso Batista, Juliana Alves Pereira, Thuener Silva, Jorge Alam Warrak, Marcelo Silva da Costa, Marinho Fischer, Cristiane Salgado, Bianca Rodrigues Teixeira, Jacques Chueke, Bruna Ferreira, Rodrigo Lima, Hugo Villamizar, André Brandão, Simone D. J. Barbosa, Marcus Poggi, Carlos Pelizaro, Deborah Lemes, Marcus Waltemberg, Odnei Lopes, Willer Goulart:
Lean R&D: An Agile Research and Development Approach for Digital Transformation. PROFES 2020: 106-124 - [c70]Rafael Pereira de Oliveira, Sérgio Lifschitz, Marcos Kalinowski, Marx L. Viana, Carlos Lucena, Marcos Antonio Vaz Salles:
Evaluating Database Self-Tuning Strategies in a Comon Extensible Framework. SBBD 2020: 97-108 - [c69]