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Chris Brown 0001

Dwayne C. Brown Jr.

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affiliation: Virginia Tech, Department of Computer Science, Blacksburg, VA, USA
affiliation (former, PhD 2021): North Carolina State University, Department of Computer Science, NC, USA
affiliation (former): Duke University, Durham, NC, USA

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2020 – today

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2024
[j2]
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Sabaat Haroon, Chris Brown, Muhammad Ali Gulzar:
DeSQL: Interactive Debugging of SQL in Data-Intensive Scalable Computing. Proc. ACM Softw. Eng. 1(FSE): 767-788 (2024)
[c30]
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  - conf/blockchain2/KhalidL024
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Shawal Khalid, Huayu Liang, Chris Brown:
Exploring User Perceptions of Crypto Signals: An Empirical Study from Social Media. Blockchain 2024: 483-490
[c29]
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  - conf/ease/ThoolB24
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Arpit Thool, Chris Brown:
Securing Agile: Assessing the Impact of Security Activities on Agile Development. EASE 2024: 668-678
[c28]
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  - conf/esem/FrankeLFB0024
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Lucas Franke, Huayu Liang, Sahar Farzanehpour, Aaron Brantly, James C. Davis, Chris Brown:
An Exploratory Mixed-methods Study on General Data Protection Regulation (GDPR) Compliance in Open-Source Software. ESEM 2024: 325-336
[c27]
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Lucas Franke, Huayu Liang, Aaron Brantly, James C. Davis, Chris Brown:
A First Look at the General Data Protection Regulation (GDPR) in Open-Source Software. ICSE Companion 2024: 268-269
[c26]
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  - conf/kbse/Bose024
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Dibyendu Brinto Bose, Chris Brown:
An Empirical Study on Current Practices and Challenges of Core AR/VR Developers. ASE Workshops 2024: 233-238
[c25]
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  - conf/lats/GruberGB24
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Sean Gruber, Grace Govan, Chris Brown:
Exploring Disparities in Student and Practitioner Perceptions of Skill Proficiency with SE Gap Awareness. L@S 2024: 274-278
[c24]
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Tianjia Wang, Ramaraja Ramanujan, Yi Lu, Chenyu Mao, Yan Chen, Chris Brown:
DevCoach: Supporting Students in Learning the Software Development Life Cycle at Scale with Generative Agents. L@S 2024: 351-355
[c23]
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Arpit Thool, Chris Brown:
Harnessing the Power of LLMs: LLM Summarization for Human-Centric DAST Reports. VL/HCC 2024: 33-39
[c22]
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Minhyuk Ko, Dibyendu Brinto Bose, Weilu Wang, Mohammed Seyam, Chris Brown:
Understanding the Performance of Large Language Model to Generate SQL Queries. VL/HCC 2024: 359-361
[c21]
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Shawal Khalid, Chris Brown:
Exploring Stakeholder Challenges in Recruitment for Human-Centric Computing Research. VL/HCC 2024: 432-438
[i8]
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  - journals/corr/abs-2401-14629
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Lucas Franke, Huayu Liang, Aaron Brantly, James C. Davis, Chris Brown:
A First Look at the General Data Protection Regulation (GDPR) in Open-Source Software. CoRR abs/2401.14629 (2024)
[i7]
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  - journals/corr/abs-2406-14724
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Lucas Franke, Huayu Liang, Sahar Farzanehpour, Aaron Brantly, James C. Davis, Chris Brown:
An Exploratory Mixed-Methods Study on General Data Protection Regulation (GDPR) Compliance in Open-Source Software. CoRR abs/2406.14724 (2024)
[i6]
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  - journals/corr/abs-2407-02643
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Sahar Farzanehpour, Swetha Rajeev, Huayu Liang, Ritvik Prabhu, Chris Brown:
ResearchBot: Bridging the Gap between Academic Research and Practical Programming Communities. CoRR abs/2407.02643 (2024)
2023
[c20]
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  - conf/botse-ws/PalvannanB23
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Nivishree Palvannan, Chris Brown:
Suggestion Bot: Analyzing the Impact of Automated Suggested Changes on Code Reviews. BotSE 2023: 33-37
[c19]
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  - conf/icse-apr/HaqueALB23
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Md. Mahim Anjum Haque, Wasi Uddin Ahmad, Ismini Lourentzou, Chris Brown:
FixEval: Execution-based Evaluation of Program Fixes for Programming Problems. APR@ICSE 2023: 11-18
[c18]
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  - conf/sds/KhalidB23
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Shawal Khalid, Chris Brown:
Software Engineering Approaches Adopted By Blockchain Developers. SDS 2023: 1-6
[c17]
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Tianjia Wang, Daniel Vargas-Diaz, Chris Brown, Yan Chen:
Exploring the Role of AI Assistants in Computer Science Education: Methods, Implications, and Instructor Perspectives. VL/HCC 2023: 92-102
[c16]
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Swanand Vaishampayan, Sahar Farzanehpour, Chris Brown:
Procedural Justice and Fairness in Automated Resume Parsers for Tech Hiring: Insights from Candidate Perspectives. VL/HCC 2023: 103-108
[c15]
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Minhyuk Ko, Dibyendu Brinto Bose, Hemayet Ahmed Chowdhury, Mohammed Seyam, Chris Brown:
Exploring the Barriers and Factors that Influence Debugger Usage for Students. VL/HCC 2023: 168-172
[i5]
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  - journals/corr/abs-2305-06328
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Nivishree Palvannan, Chris Brown:
Suggestion Bot: Analyzing the Impact of Automated Suggested Changes on Code Reviews. CoRR abs/2305.06328 (2023)
[i4]
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  - journals/corr/abs-2306-03289
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Tianjia Wang, Daniel Vargas-Diaz, Chris Brown, Yan Chen:
Towards Adapting Computer Science Courses to AI Assistants' Capabilities. CoRR abs/2306.03289 (2023)
2022
[j1]
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Peipei Wang, Chris Brown, Jamie A. Jennings, Kathryn T. Stolee:
Demystifying regular expression bugs. Empir. Softw. Eng. 27(1): 21 (2022)
[c14]
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  - conf/sigsoft/BehrooziP022
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Mahnaz Behroozi, Chris Parnin, Chris Brown:
Asynchronous technical interviews: reducing the effect of supervised think-aloud on communication ability. ESEC/SIGSOFT FSE 2022: 294-305
[i3]
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  - journals/corr/abs-2206-07796
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Md. Mahim Anjum Haque, Wasi Uddin Ahmad, Ismini Lourentzou, Chris Brown:
FixEval: Execution-based Evaluation of Program Fixes for Competitive Programming Problems. CoRR abs/2206.07796 (2022)
2021
[c13]
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  - conf/botse-ws/BrownP21
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Chris Brown, Chris Parnin:
Nudging Students Toward Better Software Engineering Behaviors. BotSE@ICSE 2021: 11-15
[i2]
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  - journals/corr/abs-2103-09685
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Chris Brown, Chris Parnin:
Nudging Students Toward Better Software Engineering Behaviors. CoRR abs/2103.09685 (2021)
[i1]
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  - journals/corr/abs-2104-09693
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Peipei Wang, Chris Brown, Jamie A. Jennings, Kathryn T. Stolee:
Demystifying Regular Expression Bugs: A comprehensive study on regular expression bug causes, fixes, and testing. CoRR abs/2104.09693 (2021)
2020
[c12]
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  - conf/icse/BrownP20
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Chris Brown, Chris Parnin:
Sorry to Bother You Again: Developer Recommendation Choice Architectures for Designing Effective Bots. ICSE (Workshops) 2020: 56-60
[c11]
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  - conf/icse/BrownP20a
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Chris Brown, Chris Parnin:
Comparing Different Developer Behavior Recommendation Styles. ICSE (Workshops) 2020: 78-85
[c10]
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  - conf/msr/WangBJS20
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Peipei Wang, Chris Brown, Jamie A. Jennings, Kathryn T. Stolee:
An Empirical Study on Regular Expression Bugs. MSR 2020: 103-113
[c9]
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  - conf/sigsoft/BrownP20
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Chris Brown, Chris Parnin:
Understanding the impact of GitHub suggested changes on recommendations between developers. ESEC/SIGSOFT FSE 2020: 1065-1076

2010 – 2019

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2019
[c8]
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  - conf/icse/BrownP19
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Chris Brown, Chris Parnin:
Sorry to bother you: designing bots for effective recommendations. BotSE@ICSE 2019: 54-58
[c7]
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Chris Brown:
Digital nudges for encouraging developer actions. ICSE (Companion Volume) 2019: 202-205
[c6]
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  - conf/wcre/SunBBS19
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Peng Sun, Chris Brown, Ivan Beschastnikh, Kathryn T. Stolee:
Mining Specifications from Documentation using a Crowd. SANER 2019: 275-286
2017
[c5]
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  - conf/vl/SmithBM17
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Justin Smith, Chris Brown, Emerson R. Murphy-Hill:
Flower: Navigating program flow in the IDE. VL/HCC 2017: 19-23
[c4]
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  - conf/vl/BrownMSM17
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Chris Brown, Justin Middleton, Esha Sharma, Emerson R. Murphy-Hill:
How software users recommend tools to each other. VL/HCC 2017: 129-137
2014
[c3]
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  - conf/iticse/RodgerBHMMOOW14
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Susan H. Rodger, Dwayne C. Brown Jr., Michael Hoyle, Daniel MacDonald, Michael Marion, Elizabeth Onstwedder, Bella Onwumbiko, Edwin Ward:
Weaving computing into all middle school disciplines. ITiCSE 2014: 207-212
2013
[c2]
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  - conf/sigcse/RodgerBHM13
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Susan H. Rodger, Dwayne C. Brown Jr., Michael Hoyle, Michael Marion:
Integrating computer science into middle school mathematics (abstract only). SIGCSE 2013: 734
[c1]
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Susan H. Rodger, Steve Cooper, Wanda P. Dann, Dwayne C. Brown Jr., Jacobo Carrasquel:
Experimenting with and integrating Alice 2.3 into many disciplines (abstract only). SIGCSE 2013: 761

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