A study on improving static analysis tools: Why are we not using them? - Brittany Johnson (ICSE, 2012)

Novice understanding of program analysis tool notifications. - Brittany Johnson (ICSE, 2013)

Why don't software developers use static analysis tools to find bugs? - Brittany Johnson; Yoonki Song; Emerson R. Murphy-Hill; Robert W. Bowdidge (ICSE, 2013)

Comparing approaches to analyze refactoring activity on software repositories. - Gustavo Soares; Rohit Gheyi; Emerson R. Murphy-Hill; Brittany Johnson (J. Syst. Softw., 2013)

Designing Interventions to Persuade Software Developers to Adopt Security Tools. - Tiffany Brooke Jordan; Brittany Johnson; Jim Witschey; Emerson R. Murphy-Hill (SIW@CCS, 2014)

Compiler error notifications revisited: an interaction-first approach for helping developers more effectively comprehend and resolve error notifications. - Titus Barik; Jim Witschey; Brittany Johnson; Emerson R. Murphy-Hill (ICSE Companion, 2014)

Enhancing tools' intelligence for improved program analysis tool usability. - Brittany Johnson (VL/HCC, 2014)

I heart hacker news: expanding qualitative research findings by analyzing social news websites. - Titus Barik; Brittany Johnson; Emerson R. Murphy-Hill (ESEC/SIGSOFT FSE, 2015)

Bespoke tools: adapted to the concepts developers know. - Brittany Johnson; Rahul Pandita; Emerson R. Murphy-Hill; Sarah Heckman (ESEC/SIGSOFT FSE, 2015)

Questions developers ask while diagnosing potential security vulnerabilities with static analysis. - Justin Smith 001; Brittany Johnson; Emerson R. Murphy-Hill; Bill Chu; Heather Richter Lipford (ESEC/SIGSOFT FSE, 2015)

Adapting program analysis tool notifications to the individual developer. - Brittany Johnson (VL/HCC, 2015)

From Quick Fixes to Slow Fixes: Reimagining Static Analysis Resolutions to Enable Design Space Exploration. - Titus Barik; Yoonki Song; Brittany Johnson; Emerson R. Murphy-Hill (ICSME, 2016)

A cross-tool communication study on program analysis tool notifications. - Brittany Johnson; Rahul Pandita; Justin Smith 001; Denae Ford; Sarah Elder; Emerson R. Murphy-Hill; Sarah Heckman; Caitlin Sadowski (SIGSOFT FSE, 2016)

Evaluating how static analysis tools can reduce code review effort. - Devarshi Singh; Varun Ramachandra Sekar; Kathryn T. Stolee; Brittany Johnson (VL/HCC, 2017)

Themis: automatically testing software for discrimination. - Rico Angell; Brittany Johnson; Yuriy Brun; Alexandra Meliou (ESEC/SIGSOFT FSE, 2018)

Causal Testing: Finding Defects' Root Causes. - Brittany Johnson; Yuriy Brun; Alexandra Meliou (CoRR, 2018)

How Developers Diagnose Potential Security Vulnerabilities with a Static Analysis Tool. - Justin Smith 001; Brittany Johnson; Emerson R. Murphy-Hill; Bill Chu; Heather Richter Lipford (IEEE Trans. Software Eng., 2019)

Causal testing: understanding defects' root causes. - Brittany Johnson; Yuriy Brun; Alexandra Meliou (ICSE, 2020)

Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models. - Brittany Johnson; Jesse Bartola; Rico Angell; Katherine A. Keith; Sam Witty; Stephen J. Giguere; Yuriy Brun (CoRR, 2020)

Towards Ethical Data-Driven Software: Filling the Gaps in Ethics Research & Practice. - Brittany Johnson; Justin Smith 001 (SEthics@ICSE, 2021)

Designing for the black experience. - Christina N. Harrington; Brittany Johnson; Denae Ford; Angela D. R. Smith (Interactions, 2021)

The Effect of Work Environments on Productivity and Satisfaction of Software Engineers. - Brittany Johnson; Thomas Zimmermann 001; Christian Bird (IEEE Trans. Software Eng., 2021)

Fairkit-learn: A Fairness Evaluation and Comparison Toolkit. - Brittany Johnson; Yuriy Brun (ICSE-Companion, 2022)

An Exploration of Intersectionality in Software Development and Use. - Hana Winchester; Alicia E. Boyd; Brittany Johnson (GE@ICSE, 2022)

Quintessence: An Intersectional Reflexivity Tool for Data-Centric Research & Development. - Alicia E. Boyd; Jibiana Jakpor; Brittany Johnson (VL/HCC, 2022)

Make Your Tools Sparkle with Trust: The PICSE Framework for Trust in Software Tools. - Brittany Johnson; Christian Bird; Denae Ford; Nicole Forsgren; Thomas Zimmermann 001 (ICSE-SEIP, 2023)

From Organizations to Individuals: Psychoactive Substance Use By Professional Programmers. - Kaia Newman; Madeline Endres; Westley Weimer; Brittany Johnson (ICSE, 2023)

Harmful Terms in Computing: Towards Widespread Detection and Correction. - Hana Winchester; Alicia E. Boyd; Brittany Johnson (ICSE (SEIS), 2023)

A Taxonomy of Machine Learning Fairness Tool Specifications, Features and Workflows. - Sadia Afrin Mim; Justin Smith 001; Brittany Johnson (VL/HCC, 2023)

Predicting API Expertise: A Cross-Community Replication Using Zipf's Law. - Mohammadreza Noei; Rahul Pandita; Brittany Johnson (VL/HCC, 2023)

HaTe Detector: A Tool for Detecting and Correcting Harmful Terminology in Computing Artifacts. - Hana Winchester; Ebtesam Al Haque; Alicia E. Boyd; Brittany Johnson (VL/HCC, 2023)

Unfairness Is Everywhere, so What to Do? An Interview With Jeanna Matthews. - Brittany Johnson; Tim Menzies (IEEE Softw., 2023)

The Engineering Mindset Is an Ethical Mindset (We Just Don't Teach It That Way... Yet). - Tim Menzies; Brittany Johnson; David L. Roberts 001; Lauren Alvarez (IEEE Softw., 2023)

Supplemental Material for "Make Your Tools Sparkle with Trust: The PICSE Framework for Trust in Software Tools". - Brittany Johnson; Christian Bird; Denae Ford; Nicole Forsgren; Thomas Zimmermann 001 (Zenodo, 2023)

Strategies for Reporting and Centering Marginalized Developer Experiences. - Denae Ford; Brittany Johnson (Equity, Diversity, and Inclusion in Software Engineering, 2024)

The Role of Ethics in Engineering Fair AI (and Beyond). - Brittany Johnson; Justin Smith 001 (Equity, Diversity, and Inclusion in Software Engineering, 2024)

"For Us By Us": Intentionally Designing Technology for Lived Black Experiences. - Lisa Egede; Leslie Coney; Brittany Johnson; Christina N. Harrington; Denae Ford (Conference on Designing Interactive Systems, 2024)

Exploring Experiences with Automated Program Repair in Practice. - Fairuz Nawer Meem; Justin Smith 001; Brittany Johnson (ICSE, 2024)

Towards Leveraging LLMs for Reducing Open Source Onboarding Information Overload. - Elijah Kayode Adejumo; Brittany Johnson (ASE, 2024)

Py-holmes: Causal Testing for Deep Neural Networks in Python. - Wren McQueary; Sadia Afrin Mim; Md. Nishat Raihan; Justin Smith 001; Brittany Johnson (SIGSOFT FSE Companion, 2024)

Challenges and Opportunities for Survey Research in the Age of Generative AI: An Experience Report. - Fairuz Nawer Meem; Justin Smith 001; Brittany Johnson (VL/HCC, 2024)

It Will Never Work in Theory. - Greg Wilson; Jorge Aranda; Michael Hoye; Brittany Johnson (CoRR, 2024)

Information Seeking Using AI Assistants. - Ebtesam Al Haque; Chris Brown 001; Thomas D. LaToza; Brittany Johnson (CoRR, 2024)

Ethics: Why Software Engineers Can't Afford to Look Away. - Brittany Johnson; Tim Menzies (IEEE Softw., 2024)

Fighting for What's Right: An Interview With Marc Canellas. - Brittany Johnson; Tim Menzies (IEEE Softw., 2024)

The Power of Positionality - Why Accessibility? An Interview With Kevin Moran and Arun Krishnavajjala. - Brittany Johnson; Tim Menzies (IEEE Softw., 2024)

Are You Trapped in the Configuration Abyss? An Interview With Prof. Sven Apel. - Brittany Johnson; Tim Menzies (IEEE Softw., 2024)

AI Over-Hype: A Dangerous Threat (and How to Fix It). - Brittany Johnson; Tim Menzies (IEEE Softw., 2024)

Powering Down: An Interview With Federica Sarro on Tackling Energy Consumption in AI-Powered Software Systems. - Tim Menzies; Brittany Johnson (IEEE Softw., 2024)

Well-Being and Resilience: Developers Thrive! - Birgit Penzenstadler; Brittany Johnson; Muneera Bano; Per Lenberg (IEEE Softw., 2024)

Experience Report: It Will Never Work in Theory. - Greg Wilson; Jorge Aranda; Michael Hoye; Brittany Johnson (IEEE Softw., 2024)

Exploring Culturally Informed AI Assistants: A Comparative Study of ChatBlackGPT and ChatGPT. - Lisa Egede; Ebtesam Al Haque; Gabriella Thompson; Alicia E. Boyd; Angela D. R. Smith; Brittany Johnson (CHI Extended Abstracts, 2025)

Investigating the Impact of AI-Assisted Tools on Software Practitioner Well-Being. - Fairuz Nawer Meem; Brittany Johnson (CHIWORK (Adjunct), 2025)

The Evolution of Information Seeking in Software Development: Understanding the Role and Impact of AI Assistants. - Ebtesam Al Haque; Chris Brown 001; Thomas D. LaToza; Brittany Johnson (SIGSOFT FSE Companion, 2025)

Why Do Software Practitioners Use ChatGPT for Software Development Tasks? - Fairuz Nawer Meem; Justin Smith 001; Brittany Johnson-Matthews (SIGSOFT FSE Companion, 2025)

A Preliminary Framework for Intersectionality in ML Pipelines. - Michelle Nashla Turcios; Alicia E. Boyd; Angela D. R. Smith; Brittany Johnson (SIGSOFT FSE Companion, 2025)

Causality-Driven Neural Network Repair: Challenges and Opportunities. - Fatemeh Vares; Brittany Johnson (SIGSOFT FSE Companion, 2025)

An Investigation into Maintenance Support for Neural Networks. - Fatema Tuz Zohra; Brittany Johnson-Matthews (SIGSOFT FSE Companion, 2025)

The Ethical Engineer's Dilemma: An Interview With Jim Herbsleb. - Brittany Johnson; Tim Menzies (IEEE Softw., 2025)

Ethics: How Far Have We Come? - Brittany Johnson; Tim Menzies (IEEE Softw., 2025)

AI in State Courts: Navigating Innovation and Ethics With Andrea Miller. - Brittany Johnson; Tim Menzies (IEEE Softw., 2025)

Towards Decoding Developer Cognition in the Age of AI Assistants. - Ebtesam Al Haque; Chris Brown 001; Thomas D. LaToza; Brittany Johnson (CoRR, 2025)

An Investigation of Experiences Engaging the Margins in Data-Centric Innovation. - Gabriella Thompson; Ebtesam Al Haque; Paulette Blanc; Meme Styles; Denae Ford; Angela D. R. Smith; Brittany Johnson (CoRR, 2025)

An Evaluation of LLMs for Detecting Harmful Computing Terms. - Joshua Jacas; Hana Winchester; Alicia E. Boyd; Brittany Johnson (CoRR, 2025)

What Makes a Fairness Tool Project Sustainable in Open Source? - Sadia Afrin Mim; Fatemeh Vares; Andrew Meenly; Brittany Johnson (CoRR, 2025)

Exploring Fairness Interventions in Open Source Projects. - Sadia Afrin Mim; Fatema Tuz Zohra; Justin Smith 001; Brittany Johnson (CoRR, 2025)

An Empirical Validation of Open Source Repository Stability Metrics. - Elijah Kayode Adejumo; Brittany Johnson (CoRR, 2025)

Commit Stability as a Signal for Risk in Open-Source Projects. - Elijah Kayode Adejumo; Brittany Johnson; Mariam Guizani (CoRR, 2025)

Bridging Language Gaps in Open-Source Documentation with Large-Language-Model Translation. - Elijah Kayode Adejumo; Brittany Johnson; Mariam Guizani (CoRR, 2025)