Marcos Kalinowski

Understanding Undesirable Attributes of Requirements Engineers: Insights from Practitioners

Larissa Barbosa, Sávio Freire, Marcos Kalinowski +4

Context. The characteristics of software professionals have been widely investigated in the literature. However, limited attention has been given to undesirable attributes in Requi…

Software Engineering Podcasts: An Empirical Study of Their Potential as a Research Resource

Marvin Wyrich, Marcos Kalinowski, Adolfo Neto +1

Podcasts have become an increasingly popular medium for knowledge sharing within the software engineering (SE) community, offering insights into industry developments and the persp…

Constructive Patterns for Human-Centered Tech Hiring

Allysson Allex Araújo, Gabriel Vasconcelos, Marvin Wyrich +3

[Context] Online Recruitment and Selection (R&S) processes are often the first point of contact between early-career software engineers and the tech industry. Yet many candidates e…

Impacts of Generative AI on Agile Teams' Productivity: A Multi-Case Longitudinal Study

Rafael Tomaz, Paloma Guenes, Allysson Allex Araújo +2

Context: Generative Artificial Intelligence (GenAI) tools, such as GitHub Copilot and GPT tools, represent a paradigm shift in software engineering. While their impact is clear, mo…

Towards an OSF-based Registered Report Template for Software Engineering Controlled Experiments

Ana B. M. Bett, Thais S. Nepomuceno, Edson OliveiraJr +3

Context: The empirical software engineering (ESE) community has contributed to improving experimentation over the years. However, there is still a lack of rigor in describing contr…

A Quasi-Experimental Evaluation of Coaching to Mitigate the Impostor Phenomenon in Early-Career Software Engineers

Paloma Guenes, Joan Leite, Rafael Tomaz +4

Context: The Impostor Phenomenon (IP), the persistent belief of being a fraud despite evident competence, is common in Software Engineering (SE), where high expectations for expert…

Towards AI Agents Supported Research Problem Formulation

Anrafel Fernandes Pereira, Maria Teresa Baldassarre, Daniel Mendez +1

Poorly formulated research problems can compromise the practical relevance of Software Engineering studies by not reflecting the complexities of industrial practice. This vision pa…

Attributes to Support the Formulation of Practically Relevant Research Problems in Software Engineering

Anrafel Fernandes Pereira, Maria Teresa Baldassarre, Daniel Mendez +9

[Background] A well-formulated research problem is essential for achieving practical relevance in Software Engineering (SE), yet there is a lack of structured guidance in this earl…

Towards Lean Research Inception: Assessing Practical Relevance of Formulated Research Problems

Anrafel Fernandes Pereira, Marcos Kalinowski, Maria Teresa Baldassarre +3

[Context] The lack of practical relevance in many Software Engineering (SE) research contributions is often rooted in oversimplified views of industrial practice, weak industry con…

Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates?

Marcelo Costalonga, Bianca Minetto Napoleão, Maria Teresa Baldassarre +3

[Background] Systematic literature reviews (SLRs) are essential for synthesizing evidence in Software Engineering (SE), but keeping them up-to-date requires substantial effort. Stu…

cs.SE2025★ 1 cited

Embracing Experiential Learning: Hackathons as an Educational Strategy for Shaping Soft Skills in Software Engineering

Allysson Allex Araújo, Marcos Kalinowski, Maria Teresa Baldassarre

In recent years, Software Engineering (SE) scholars and practitioners have emphasized the importance of integrating soft skills into SE education. However, teaching and learning so…

cs.SE2025★ 1 cited

Impostor Phenomenon Among Software Engineers: Investigating Gender Differences and Well-Being

Paloma Guenes, Rafael Tomaz, Bianca Trinkenreich +3

Research shows that more than half of software professionals experience the Impostor Phenomenon (IP), with a notably higher prevalence among women compared to men. IP can lead to m…

Towards Emotionally Intelligent Software Engineers: Understanding Students' Self-Perceptions After a Cooperative Learning Experience

Allysson Allex Araújo, Marcos Kalinowski, Matheus Paixao +1

[Background] Emotional Intelligence (EI) can impact Software Engineering (SE) outcomes through improved team communication, conflict resolution, and stress management. SE workers f…

cs.SE2024★ 7 cited

Attributes of a Great Requirements Engineer

Larissa Barbosa, Sávio Freire, Rita S. P. Maciel +4

[Context and Motivation] Several studies have investigated attributes of great software practitioners. However, the investigation of such attributes is still missing in Requirement…

Teaching Survey Research in Software Engineering

Marcos Kalinowski, Allysson Allex Araújo, Daniel Mendez

In this chapter, we provide advice on how to effectively teach survey research based on lessons learned from several international teaching experiences on the topic and from conduc…

Towards Effective Collaboration between Software Engineers and Data Scientists developing Machine Learning-Enabled Systems

Gabriel Busquim, Allysson Allex Araújo, Maria Julia Lima +1

Incorporating Machine Learning (ML) into existing systems is a demand that has grown among several organizations. However, the development of ML-enabled systems encompasses several…

Understanding and measuring software engineer behavior: What can we learn from the behavioral sciences?

Allysson Allex Araújo, Marcos Kalinowski, Daniel Graziotin

This paper explores the intricate challenge of understanding and measuring software engineer behavior. More specifically, we revolve around a central question: How can we enhance o…