Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Marcos Kalinowski

Professor (Software Engineering)

Pontifical Catholic University of Rio de Janeiro

Brazil

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Articles (20)

Year:

2027

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Collaborators (7)

Hélio Lopes

Professor Associado

Pontifical Catholic University of Rio de Janeiro

BRAZIL

View details

Daniel Méndez Fernández

Full Professor

Blekinge Institute of Technology

SWEDEN

View details

Moises Rodriguez

Profesor Titular

University of Castilla-La Mancha

SPAIN

View details

Nauman bin Ali

Professor

Blekinge Institute of Technology

SWEDEN

View details

Mohamad Kassab

Associate Professor

Boston University

UNITED STATES

View details

Stefan Biffl

Universität Wien

AUSTRIA

View details

Mario Piattini

Catedrático de Universidad

University of Castilla-La Mancha

SPAIN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Marcos Kalinowski

Research Interests

Make your next move.

Articles (20)

Large language models in Scrum management: A practitioner survey of use, perceived benefits, risks, and human–AI collaboration

Practical Insights Into AI System Product Quality Evaluation

On the Use of a Large Language Model to Support the Conduction of a Systematic Mapping Study: A Brief Report from a Practitioner’s View

Understanding undesirable attributes of requirements engineers: Insights from practitioners

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

ATLAS: Adaptive Test Learning And Selection at the DeepTest 2026 Tool Competition

Applying a Requirements-Focused Agile Management Approach for Machine Learning-Enabled Systems

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

Constructive Patterns for Human-Centered Tech Hiring

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

LLM-Assisted Thematic Analysis: Opportunities, Limitations, and Recommendations

Statistical Confidence in Functional Correctness: An Approach for AI Product Functional Correctness Evaluation

Towards AI Agents Supported Research Problem Formulation

Towards an Approach for Specifying Intelligent Systems Involving Foundation Model Based Agents

Towards an Approach to Support Knowledge Acquisition for Engineering AI-Enabled Systems

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

Adoption of Large Language Models in Scrum Management: Insights from Brazilian Practitioners

Agile Management for Machine Learning: A Systematic Mapping Study

Define-ML: An Approach to Ideate Machine Learning-Enabled Systems

Domain Knowledge in Requirements Engineering: A Systematic Mapping Study

Collaborators (7)

Hélio Lopes

Daniel Méndez Fernández

Moises Rodriguez

Nauman bin Ali

Mohamad Kassab

Stefan Biffl

Mario Piattini

Make your next move.