Gema Rodríguez Pérez

ESE - MSR - OSS - Social Aspects of SE - Diversity and Inclusion in SE

I love empirical software studies that mine open source software repositories to create large datasets. In my research, I use a combination of quantitative and qualitative techniques to understand current technical and non-technical software problems and determine approaches that can help to solve them. In the technical part, I do bug localization and bug prediction studies to improve software products and help quality assurance teams understand where to relocate their economic resources. In the non-technical part, I analyze collaborative software development with a focus on diversity and inclusion.

2024

• Diversity in issue assignment: humans vs bots

  Empirical Software Engineering Journal Article

• The Fine Balance Between Helping With Your Job And Taking It: AI Code Assistants Come To The Force

  IEEE Software Journal Article

• Towards understanding barriers and mitigation strategies of software engineers with non-traditional educational and occupational backgrounds

  Empirical Software Engineering Journal Article

• Investigating the Efficacy of Large Language Models for Code Clone Detection

  IEEE/ACM International Conference on Program Comprehension Conference Article

• Bridging Gaps, Building Futures: Advancing Software Developer Diversity and Inclusion Through Future-Oriented Research

  FSE-SE 2030 Vision Paper

• JITGNN: A deep graph neural network framework for Just-In-Time bug prediction

  Journal of Systems and Software Journal Article

2023

• BuggIn: Automatic Intrinsic Bugs Classification Model using NLP and ML

  PROMISE Conference Conference Paper

• Relationship between diversity of collaborative group members’ race and ethnicity and the frequency of their collaborative contributions in GitHub

  Empirical Software Engineering Journal Article

2021

• A Fine-grained Data Set and Analysis of Tangling in Bug Fixing Commits

  Empirical Software Engineering - Impact Factor: 4.457 Journal Article

• Perceived diversity in software engineering: a systematic literature review

  Empirical Software Engineering - Impact Factor: 4.457 Journal Article

• On the Relationship Between the Developer's Perceptible Race and Ethnicity and the Evaluation of Contributions in OSS

  IEEE TRANSACTIONS ON SOFTWARE ENGINEERING - Impact Factor: 6.11 Journal Article

2020

• Watch out for Extrinsic Bugs! A Case Study of their Impact in Just-In-Time Bug Prediction Models on the OpenStack project

  IEEE TRANSACTIONS ON SOFTWARE ENGINEERING - Impact Factor: 6.11 Journal Article

• Insights into Non-Merged Pull Requests in GitHub: Is there Evidence of Bias Based on Perceptible Race?

  IEEE Software- Impact Factor: 3.250 - Journal Article

2019

• How Bugs Are Born: A Model to Identify How Bugs Are Introduced in Software Components

  Empirical Software Engineering - Impact Factor: 4.457 - Journal Article

2018

• Reproducibility and credibility in empirical software engineering: A case study based on a systematic literature review of the use of the SZZ algorithm

  Information and Software Technology - Impact Factor: 2.694 - Journal Article

• What if a Bug has a Different Origin? Making Sense of Bugs Without an Explicit Bug Introducing Change

  International Symposium on Empirical Software Engineering and Measurement (ESEM’18) [Best emerging results paper award ] Conference Article

• Towards an Empirical Model to Identify When Bugs are Introduced

  Ph.D. Thesis

2017

• How much time did it take to notify a bug?: two case studies: Elasticsearch and Nova

  WETSoM'17 Proceedings of the 8th Workshop on Emerging Trends in Software Metrics - At ICSE'17 - Workshop Article

2016

• Bugtracking: A tool to assist in the identification of bug reports

  IFIP International Conference on Open Source Systems - Conference Article

• Analyzing how the bugs are injected into the source code.

  Proceedings of the Doctoral Consortium at the 12th International Conference on Open Source Systems - Doctoral Symposium Article