Genetic algorithms and neural networks: optimizing connections and connectivity. - L. Darrell Whitley; Timothy Starkweather; Christopher Bogart (Parallel Comput., 1990)

Characterizing reusability of end-user web macro scripts. - Christopher Scaffidi; Christopher Bogart; Margaret M. Burnett; Allen Cypher; Brad A. Myers; Mary Shaw (RSSE@SIGSOFT FSE, 2008)

Software visualization for end-user programmers: trial period obstacles. - Neeraja Subrahmaniyan; Margaret M. Burnett; Christopher Bogart (SOFTVIS, 2008)

Rhetorical end-user programming. - Christopher Bogart (VL/HCC, 2008)

End-user programming in the wild: A field study of CoScripter scripts. - Christopher Bogart; Margaret M. Burnett; Allen Cypher; Christopher Scaffidi (VL/HCC, 2008)

Can feature design reduce the gender gap in end-user software development environments? - Valentina Grigoreanu; Jill Cao; Todd Kulesza; Christopher Bogart; Kyle Rector; Margaret M. Burnett; Susan Wiedenbeck (VL/HCC, 2008)

Predicting reuse of end-user web macro scripts. - Christopher Scaffidi; Christopher Bogart; Margaret M. Burnett; Allen Cypher; Brad A. Myers; Mary Shaw (VL/HCC, 2009)

Reactive information foraging for evolving goals. - Joseph Lawrance; Margaret M. Burnett; Rachel K. E. Bellamy; Christopher Bogart; Calvin Swart (CHI, 2010)

Debugging with Evaluation Abstractions. - Christopher Bogart (VL/HCC, 2010)

Does My Model Work? Evaluation Abstractions of Cognitive Modelers. - Christopher Bogart; Margaret M. Burnett; Scott Douglass; David Piorkowski; Amber Shinsel (VL/HCC, 2010)

Using traits of web macro scripts to predict reuse. - Christopher Scaffidi; Christopher Bogart; Margaret M. Burnett; Allen Cypher; Brad A. Myers; Mary Shaw (J. Vis. Lang. Comput., 2010)

Modeling programmer navigation: A head-to-head empirical evaluation of predictive models. - David Piorkowski; Scott D. Fleming; Christopher Scaffidi; Liza John; Christopher Bogart; Bonnie E. John; Margaret M. Burnett; Rachel K. E. Bellamy (VL/HCC, 2011)

Designing a debugging interaction language for cognitive modelers: an initial case study in natural programming plus. - Christopher Bogart; Margaret M. Burnett; Scott Douglass; Hannah Adams; Rachel White (CHI, 2012)

Reactive information foraging: an empirical investigation of theory-based recommender systems for programmers. - David Piorkowski; Scott D. Fleming; Christopher Scaffidi; Christopher Bogart; Margaret M. Burnett; Bonnie E. John; Rachel K. E. Bellamy; Calvin Swart (CHI, 2012)

How Programmers Debug, Revisited: An Information Foraging Theory Perspective. - Joseph Lawrance; Christopher Bogart; Margaret M. Burnett; Rachel K. E. Bellamy; Kyle Rector; Scott D. Fleming (IEEE Trans. Software Eng., 2013)

When It Breaks, It Breaks: How Ecosystem Developers Reason about the Stability of Dependencies. - Christopher Bogart; Christian Kästner; James D. Herbsleb (ASE Workshops, 2015)

Programs for people: What we can learn from lab protocols. - Keeley Abbott; Christopher Bogart; Eric Walkingshaw (VL/HCC, 2015)

How to break an API: cost negotiation and community values in three software ecosystems. - Christopher Bogart; Christian Kästner; James D. Herbsleb; Ferdian Thung (SIGSOFT FSE, 2016)

Intelligently Transparent Software Ecosystems. - James D. Herbsleb; Christian Kästner; Christopher Bogart (IEEE Softw., 2016)

Linguistic Markers of Influence in Informal Interactions. - Shrimai Prabhumoye; Samridhi Choudhary; Evangelia Spiliopoulou; Christopher Bogart; Carolyn P. Rosé; Alan W. Black (NLP+CSS@ACL, 2017)

Extracting Personal Medical Events for User Timeline Construction using Minimal Supervision. - Aakanksha Naik; Christopher Bogart; Carolyn P. Rosé (BioNLP, 2017)

When Optimal Team Formation Is a Choice - Self-selection Versus Intelligent Team Formation Strategies in a Large Online Project-Based Course. - Sreecharan Sankaranarayanan; Cameron Dashti; Christopher Bogart; Xu Wang 016; Majd Sakr; Carolyn Penstein Rosé (AIED (1), 2018)

Debugging Framework Applications: Benefits and Challenges. - Zack Coker; David Gray Widder; Claire Le Goues; Christopher Bogart; Joshua Sunshine (CoRR, 2018)

Group Formation in the Digital Age: Relevant Characteristics, Their Diagnosis, and Combination for Productive Collaboration. - Dimitra Tsovaltzi; Armin Weinberger; Lara Johanna Schmitt; Henrik Bellhäuser; Adrienne Müller; Johannes Konert; René Röpke; Hannie Gijlers; Elise H. Eshuis; Tessa H. S. Eysink; Melanie Erkens; Sven Manske; et al. (CSCL, 2019)

A Qualitative Study on Framework Debugging. - Zack Coker; David Gray Widder; Claire Le Goues; Christopher Bogart; Joshua Sunshine (ICSME, 2019)

World of code: an infrastructure for mining the universe of open source VCS data. - Yuxing Ma; Chris Bogart; Sadika Amreen; Russell Zaretzki; Audris Mockus (MSR, 2019)

ALFAA: Active Learning Fingerprint Based Anti-Aliasing for Correcting Developer Identity Errors in Version Control Data. - Sadika Amreen; Audris Mockus; Chris Bogart; Yuxia Zhang; Russell Zaretzki (CoRR, 2019)

Agent-in-the-Loop: Conversational Agent Support in Service of Reflection for Learning During Collaborative Programming. - Sreecharan Sankaranarayanan; Siddharth Reddy Kandimalla; Sahil Hasan; Haokang An; Christopher Bogart; R. Charles Murray; Michael Hilton; Majd Sakr; Carolyn P. Rosé (AIED (2), 2020)

Creating Opportunities for Transactive Exchange for Learning in Performance-Oriented Team Projects. - Sreecharan Sankaranarayanan; Siddharth Reddy Kandimalla; Sahil Hasan; Haokang An; Christopher Bogart; R. Charles Murray; Michael Hilton; Majd Sakr; Carolyn P. Rosé (ICLS, 2020)

Using Productive Collaboration Bursts to Analyze Open Source Collaboration Effectiveness. - Samridhi Choudhary; Christopher Bogart; Carolyn P. Rosé; Jim Herbsleb (SANER, 2020)

Guiding Development Work Across a Software Ecosystem by Visualizing Usage Data. - Christopher Bogart; James Howison; James D. Herbsleb (CoRR, 2020)

ALFAA: Active Learning Fingerprint based Anti-Aliasing for correcting developer identity errors in version control systems. - Sadika Amreen; Audris Mockus; Russell Zaretzki; Christopher Bogart; Yuxia Zhang (Empir. Softw. Eng., 2020)

A Thematic Summarization Dashboard for Navigating Student Reflections at Scale. - Yuya Asano; Sreecharan Sankaranarayanan; Majd Sakr; Christopher Bogart (ICCE, 2021)

Are Working Habits Different Between Well-Performing and at-Risk Students in Online Project-Based Courses? - Mingxiao An; Hongyi Zhang; Jaromír Savelka; Shijie Zhu; Chris Bogart; Majd Sakr (ITiCSE (1), 2021)

Combining Collaborative Reflection based on Worked-Out Examples with Problem-Solving Practice: Designing Collaborative Programming Projects for Learning at Scale. - Sreecharan Sankaranarayanan; Siddharth Reddy Kandimalla; Christopher Bogart; R. Charles Murray; Michael Hilton; Majd Sakr; Carolyn P. Rosé (L@S, 2021)

Tracing Vulnerable Code Lineage. - David Reid; Kalvin Eng; Chris Bogart; Adam Tutko (MSR, 2021)

Comparing Example-Based Collaborative Reflection to Problem Solving Practice for Learning during Team-Based Software Engineering Projects. - Sreecharan Sankaranarayanan; Siddharth Reddy Kandimalla; Christopher Bogart; R. Charles Murray; Haokang An; Michael Hilton; Majd Sakr; Carolyn P. Rosé (CoRR, 2021)

World of code: enabling a research workflow for mining and analyzing the universe of open source VCS data. - Yuxing Ma; Tapajit Dey; Chris Bogart; Sadika Amreen; Marat Valiev; Adam Tutko; David Kennard; Russell Zaretzki; Audris Mockus (Empir. Softw. Eng., 2021)

"They Can Only Ever Guide": How an Open Source Software Community Uses Roadmaps to Coordinate Effort. - Daniel Klug; Christopher Bogart; James D. Herbsleb (Proc. ACM Hum. Comput. Interact., 2021)

When and How to Make Breaking Changes: Policies and Practices in 18 Open Source Software Ecosystems. - Chris Bogart; Christian Kästner; James D. Herbsleb; Ferdian Thung (ACM Trans. Softw. Eng. Methodol., 2021)

Cheating Detection in Online Assessments via Timeline Analysis. - Jiameng Du; Yifan Song; Mingxiao An; Marshall An; Christopher Bogart; Majd Sakr (SIGCSE (1), 2022)

Intersectionality Goes Analytical: Taming Combinatorial Explosion Through Type Abstraction. - Margaret Burnett; Martin Erwig; Abrar Fallatah; Christopher Bogart; Anita Sarma (CoRR, 2022)

Collaborative Programming for Work-Relevant Learning: Comparing Programming Practice With Example-Based Reflection for Student Learning and Transfer Task Performance. - Sreecharan Sankaranarayanan; Siddharth Reddy Kandimalla; Christopher A. Bogart; R. Charles Murray; Michael Hilton; Majd F. Sakr; Carolyn P. Rosé (IEEE Trans. Learn. Technol., 2022)

Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. - Pragnya Sridhar; Aidan Doyle; Arav Agarwal; Christopher Bogart; Jaromír Savelka; Majd Sakr (LLM@AIED, 2023)

Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code. - Jaromír Savelka; Arav Agarwal; Christopher Bogart; Majd Sakr (CSEDU (2), 2023)

Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. - Jaromír Savelka; Arav Agarwal; Marshall An; Chris Bogart; Majd Sakr (ICER (1), 2023)

Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? - Jaromír Savelka; Arav Agarwal; Christopher Bogart; Yifan Song; Majd Sakr (ITiCSE (1), 2023)

SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study. - Puja Agarwal; Divya Prem; Christopher Bogart; Abrar Fallatah; Aileen Abril Castro-Guzman; Pannapat Chanpaisaeng; Stella Doehring; Margaret Burnett; Anita Sarma (CoRR, 2023)

From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-choice Questions for Programming Classes in Higher Education. - Jaromír Savelka; Arav Agarwal; Christopher Bogart; Majd Sakr (CoRR, 2023)

A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. - Jacob Doughty; Zipiao Wan; Anishka Bompelli; Jubahed Qayum; Taozhi Wang; Juran Zhang; Yujia Zheng; Aidan Doyle; Pragnya Sridhar; Arav Agarwal; Christopher Bogart; Eric Keylor; et al. (ACE, 2024)

Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning. - Atharva Naik; Jessica Ruhan Yin; Anusha Kamath; Qianou Ma; Sherry Tongshuang Wu; R. Charles Murray; Christopher Bogart; Majd Sakr; Carolyn P. Rosé (AIED (1), 2024)

Leveraging Intelligent Tutoring Systems to Enhance Project-Based Learning in Workforce Training at Community Colleges. - Marshall An; Leah Teffera; Mahboobeh Mehrvarz; Bruce Li; Christopher Bogart; Majd Sakr; Bruce M. McLaren (EC-TEL (2), 2024)

Examining the Trade-Offs Between Simplified and Realistic Coding Environments in an Introductory Python Programming Class. - Huy Anh Nguyen; Christopher Bogart; Jaromír Savelka; Adam Zhang; Majd Sakr (EC-TEL (1), 2024)

Course Delivery Methods, Student Success, and Self-efficacy in Introductory Programming. - Christopher Bogart; Can Kültür; Eric Keylor; Jaromír Savelka; Majd Sakr (ITiCSE (2), 2024)

Designing Modular Auto-graded Programming Projects. - Can Kültür; Jaromír Savelka; Christopher Bogart; Majd Sakr (ITiCSE (2), 2024)

What Factors Influence Persistence in Project-based Programming Courses at Community Colleges? - Christopher Bogart; Marshall An; Eric Keylor; Pawanjeet Singh; Jaromír Savelka; Majd Sakr (SIGCSE (1), 2024)

Programming Plagiarism Detection with Learner Data. - Yifan Song; Yuanxin Wang 001; Marshall An; Christopher Bogart; Majd Sakr (SIGCSE (2), 2024)

Assessing the Efficacy of Goal-Based Scenarios in Scaling AI Literacy for Non-Technical Learners. - Ying-Jui Tseng; Ruiwei Xiao; Christopher Bogart; Jaromír Savelka; Majd Sakr (SIGCSE (2), 2024)

Auto-Grader Feedback Utilization and Its Impacts: An Observational Study Across Five Community Colleges. - Adam Zhang; Heather Burte; Jaromír Savelka; Christopher Bogart; Majd Sakr (CSEDU (1), 2025)

AI Technicians: Developing Rapid Occupational Training Methods for a Competitive AI Workforce. - Jaromír Savelka; Can Kültür; Arav Agarwal; Christopher Bogart; Heather Burte; Adam Zhang; Majd Sakr (SIGCSE (1), 2025)

Measuring SES-related traits relating to technology usage: Two validated surveys. - Chimdi Chikezie; Pannapat Chenpaiseng; Puja Agarwal; Sadia Afroz; Bhavika Madhwani; Rudrajit Choudhuri; Andrew Anderson 002; Prisha Velhal; Patricia Morreale; Christopher Bogart; Anita Sarma; Margaret Burnett (CoRR, 2025)

Providing tailored reflection instructions in collaborative learning using large language models. - Atharva Naik; Jessica Ruhan Yin; Anusha Kamath; Qianou Ma; Sherry Tongshuang Wu; R. Charles Murray; Christopher Bogart; Majd Sakr; Carolyn P. Rosé (Br. J. Educ. Technol., 2025)

PlantD: Performance, Latency ANalysis, and Testing for Data Pipelines - An Open Source Measurement, Testing, and Simulation Framework. - Christopher Bogart; Rajeev Chhajer; Baljit Singh; Tony Fontana; Majd Sakr (CoRR, 2025)