João Felipe Pimentel

According to our database, João Felipe Pimentel authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

How to Support ML End-User Programmers through a Conversational Agent.

Emily Judith Arteaga Garcia, João Felipe Nicolaci Pimentel, Zixuan Feng, Marco Aurélio Gerosa, Igor Steinmacher, Anita Sarma

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Tag that issue: applying API-domain labels in issue tracking systems.

Fabio Santos, Joseph Vargovich, Bianca Trinkenreich, Ítalo Santos, Jacob Penney, Ricardo Britto, João Felipe Pimentel, Igor Wiese, Igor Steinmacher, Anita Sarma, Marco Aurélio Gerosa

Empir. Softw. Eng., October, 2023

Tell Me Who Are You Talking to and I Will Tell You What Issues Need Your Skills.

Fabio Santos, Jacob Penney, João Felipe Pimentel, Igor Wiese, Igor Steinmacher, Marco Aurélio Gerosa

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Designing for Cognitive Diversity: Improving the GitHub Experience for Newcomers.

Ítalo Santos, João Felipe Pimentel, Igor Wiese, Igor Steinmacher, Anita Sarma, Marco Aurélio Gerosa

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, 2023

Anticipating User Needs: Insights from Design Fiction on Conversational Agents for Computational Thinking.

Jacob Penney, João Felipe Pimentel, Igor Steinmacher, Marco Aurélio Gerosa

Proceedings of the Chatbot Research and Design - 7th International Workshop, 2023

2022

P+RProv: Prospective+Retrospective Provenance Graphs of Python Scripts.

Vitor Gama Lemos, João Felipe Pimentel, Bruno Erbisti, Vanessa Braganholo

J. Inf. Data Manag., 2022

How to Choose a Task? Mismatches in Perspectives of Newcomers and Existing Contributors.

Fabio Santos, Bianca Trinkenreich, João Felipe Pimentel, Igor Wiese, Igor Steinmacher, Anita Sarma, Marco Aurélio Gerosa

Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022

2021

Recommending Participants for Collaborative Merge Sessions.

Catarina Costa, Jair Figueiredo, João Felipe Pimentel, Anita Sarma, Leonardo Murta

IEEE Trans. Software Eng., 2021

Attributes that may raise the occurrence of merge conflicts.

José William Menezes, Bruno Trindade, João Felipe Pimentel, Alexandre Plastino, Leonardo Murta, Catarina Costa

J. Softw. Eng. Res. Dev., 2021

Understanding and improving the quality and reproducibility of Jupyter notebooks.

João Felipe Pimentel, Leonardo Murta, Vanessa Braganholo, Juliana Freire

Empir. Softw. Eng., 2021

2020

On the performance of hybrid search strategies for systematic literature reviews in software engineering.

Érica Mourão, João Felipe Pimentel, Leonardo Murta, Marcos Kalinowski, Emilia Mendes, Claes Wohlin

Inf. Softw. Technol., 2020

What causes merge conflicts?

José William Menezes, Bruno Trindade, João Felipe Pimentel, Tayane Silva Fernandes de Moura, Alexandre Plastino, Leonardo Murta, Catarina Costa

Proceedings of the 34th Brazilian Symposium on Software Engineering, 2020

2019

A Survey on Collecting, Managing, and Analyzing Provenance from Scripts.

João Felipe Pimentel, Juliana Freire, Leonardo Murta, Vanessa Braganholo

ACM Comput. Surv., 2019

Provenance-enhanced Algorithmic Debugging.

Henrique Linhares, João Felipe Pimentel, Troy C. Kohwalter, Leonardo Gresta Paulino Murta

Proceedings of the XXXIII Brazilian Symposium on Software Engineering, 2019

A large-scale study about quality and reproducibility of jupyter notebooks.

João Felipe Pimentel, Leonardo Murta, Vanessa Braganholo, Juliana Freire

Proceedings of the 16th International Conference on Mining Software Repositories, 2019

2018

Versioned-PROV: A PROV Extension to Support Mutable Data Entities.

João Felipe N. Pimentel, Paolo Missier, Leonardo Murta, Vanessa Braganholo

Proceedings of the Provenance and Annotation of Data and Processes, 2018

2017

noWorkflow: a Tool for Collecting, Analyzing, and Managing Provenance from Python Scripts.

João Felipe Pimentel, Leonardo Murta, Vanessa Braganholo, Juliana Freire

Proc. VLDB Endow., 2017

2016

Fine-Grained Provenance Collection over Scripts Through Program Slicing.

João Felipe Pimentel, Juliana Freire, Leonardo Murta, Vanessa Braganholo

Proceedings of the Provenance and Annotation of Data and Processes, 2016

Tracking and Analyzing the Evolution of Provenance from Scripts.

João Felipe Pimentel, Juliana Freire, Vanessa Braganholo, Leonardo Murta

Proceedings of the Provenance and Annotation of Data and Processes, 2016

Yin & Yang: Demonstrating Complementary Provenance from noWorkflow & YesWorkflow.

João Felipe Pimentel, Saumen C. Dey, Timothy M. McPhillips, Khalid Belhajjame, David Koop, Leonardo Murta, Vanessa Braganholo, Bertram Ludäscher

Proceedings of the Provenance and Annotation of Data and Processes, 2016

2015

Software rejuvenation via a multi-agent approach.

Heliomar Santos, João Felipe Pimentel, Viviane Torres da Silva, Leonardo Murta

J. Syst. Softw., 2015

Collecting and Analyzing Provenance on Interactive Notebooks: When IPython Meets noWorkflow.

João Felipe Pimentel, Vanessa Braganholo, Leonardo Murta, Juliana Freire

Proceedings of the 7th USENIX Workshop on the Theory and Practice of Provenance, 2015