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Marcos Kalinowski

Pontifical Catholic University of Rio de Janeiro

225 - Gávea

Rua Marquês de São Vicente

Rio de Janeiro, 22451-900

Brazil

  • Pontifical Catholic University of Rio de Janeiro

SCHOLARLY PAPERS

4

DOWNLOADS

152

TOTAL CITATIONS

5

Scholarly Papers (4)

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1.

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

Number of pages: 55 Posted: 01 Nov 2022
Danilo Almeida Felipe, Marcos Kalinowski, Daniel Graziotin and Jean Carlos Natividade
Pontifical Catholic University of Rio de Janeiro, Pontifical Catholic University of Rio de Janeiro, University of Hohenheim and Pontifical Catholic University of Rio de Janeiro
Downloads 45 (1,133,231)

Abstract:

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behavioral software engineering, Personality, mapping study

2.

Who “Controls” Where Work Shall Be Done? State-of-Practice in Post-Pandemic Remote Work Regulation

Number of pages: 27 Posted: 27 May 2025
Darja Šmite, Nils Brede Moe, Maria Teresa Baldassarre, Fabio Calefato, Guilherme H. Travassos, Marcin Floryan, Marcos Kalinowski, Daniel Mendez, Graziela Basilio Pereira, Margaret-Anne Storey and Rafael Prikladnicki
affiliation not provided to SSRN, affiliation not provided to SSRN, Università degli Studi di Bari “Aldo Moro” (UNIBA), Università degli Studi di Bari “Aldo Moro” (UNIBA), Universidade Federal do Rio de Janeiro (UFRJ), affiliation not provided to SSRN, Pontifical Catholic University of Rio de Janeiro, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Victoria and affiliation not provided to SSRN
Downloads 40 (1,222,651)
Citation 1

Abstract:

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Work policies, Post-pandemic work, Remote work, Hybrid work, Flexible work, RTO mandate, Empirical study, Interviews

3.

An Empirical Study of Generative AI Adoption in Software Engineering

Number of pages: 50 Posted: 23 Mar 2026
Görkem Giray, Onur Demirörs, Marcos Kalinowski and Daniel Mendez
affiliation not provided to SSRN, Izmir Institute of Technology, Pontifical Catholic University of Rio de Janeiro and affiliation not provided to SSRN
Downloads 34 (1,399,036)
Citation 1

Abstract:

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Generative AI, LLM, Software Engineering, AI4SE, Survey

4.

Identifying Concerns When Specifying Machine Learning-Enabled Systems: A Perspective-Based Approach

Number of pages: 53 Posted: 13 Sep 2023
Hugo Villamizar, Marcos Kalinowski, HELIO LOPES and Daniel Mendez
Pontifical Catholic University of Rio de Janeiro, Pontifical Catholic University of Rio de Janeiro, Pontifical Catholic University of Rio de Janeiro and affiliation not provided to SSRN
Downloads 33 (1,277,121)
Citation 3

Abstract:

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Requirements engineering, machine learning-enabled systems, technology transfer, case study