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ICSE 2022
Sun 8 - Fri 27 May 2022
Igor Steinmacher

Registered user since Tue 9 Jan 2018

Name:Igor Steinmacher

I completed a PhD in Computer Science at the Institute of Mathematics and Statistics at University of São Paulo in 2015. Currently, I am an Assistant Professor at the Federal University of Technology - Paraná (UTFPR), Brazil. I was a visiting scholar at the University of California, Irvine from July 2013 to January 2014.

I research the intersections of Software Engineering (SE) and Computer Supported Cooperative Work (CSCW). Currently, I am working on the support of newcomers to Open Source Software development communities. I am interested in Open Source Software, Human Aspects of Software Engineering, Empirical Software Engineering, and Mining Software Repositories techniques.

Affiliation:Federal University of Technology - Paraná / Northern Arizona University
Personal website:http://www.igor.pro.br
Research interests:Mining Software Repositories; Open Source Software; Human Aspects of Software Engineering; Developers Onboarding


ICSE 2022 An Empirical Investigation on the Challenges Faced by Women in the Software Industry: A Case Study
How to Debug Inclusivity Bugs? A Debugging Process with Information Architecture
Bots for Pull Requests: The Good, the Bad, and the Promising
Session Chair of Software Engineering in Practice 4 (part of Technical Track)
Committee Member in Mentors within the SMeW - Student Mentoring Workshop-track
Committee Member in Program Committee within the Technical Track-track
The best defense is a good defense: adapting negotiation methods for tackling pressure over software project estimates
Perceptions of the State of D&I and D&I Initiative in the ASF
MSR 2022 BotHunter: An Approach to Detect Software Bots in GitHub
Committee Member in Data Showcase Committee within the Data and Tool Showcase Track-track
Committee Member in Program Committee within the Technical Papers-track
CHASE 2022 Committee Member in Program Committee
ICPC 2022 Committee Member in Program Committee within the Replications and Negative Results (RENE)-track
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