James C. Davis

148 papers A* 19A 13B 1Misc 1Journal 90Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Longitudinal Study of Usability in Identity-Based Software Signing.
CoRR
Kelechi G. Kalu, Hieu Tran, Santiago Torres-Arias, Sooyeon Jeong, James C. Davis
2026 J jnl
An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process.
CoRR
Nicholas M. Synovic, Karolina Ryzka, Alessandra V. Vellucci Solari, Kenny Lyons, James C. Davis, George K. Thiruvathukal
2026 A* conf
Anti-Phishing Training (Still) Does Not Work: A Reproduction of Phishing Training Inefficacy Grounded in the NIST Phish Scale.
WWW
Andrew T. Rozema, James C. Davis
2026 J jnl
Beyond Local Code Optimization: Multi-Agent Reasoning for Software System Optimization.
CoRR
Huiyun Peng, Parth V. Patil, Antonio Zhong Qiu, George K. Thiruvathukal, James C. Davis
2026 J jnl
Operationalizing Research Software for Supply Chain Security.
CoRR
Kelechi G. Kalu, Soham Rattan, Taylor R. Schorlemmer, George K. Thiruvathukal, Jeffrey C. Carver, James C. Davis
2026 J jnl
Regular Expression Denial of Service Induced by Backreferences.
CoRR
Yichen Liu, Berk Çakar, Aman Agrawal, Minseok Seo, James C. Davis, Dongyoon Lee
2026 J jnl
Towards a Benchmark for Dependency Decision-Making.
CoRR
Tanmay Singla, Berk Çakar, Paschal C. Amusuo, James C. Davis
2026 J jnl
Towards the Systematic Testing of Regular Expression Engines.
CoRR
Berk Çakar, Dongyoon Lee, James C. Davis
2025 J jnl
"I see models being a whole other thing": an empirical study of pre-trained model naming conventions and a tool for enhancing naming consistency.
Empir. Softw. Eng.
Wenxin Jiang, Mingyu Kim, Chingwo Cheung, Heesoo Kim, George K. Thiruvathukal, James C. Davis
2025 A* conf
$ZTD_{\text{JAVA}}$: Mitigating Software Supply Chain Vulnerabilities via Zero-Trust Dependencies.
ICSE
Paschal C. Amusuo, Kyle A. Robinson, Tanmay Singla, Huiyun Peng, Aravind Machiry, Santiago Torres-Arias, Laurent Simon, James C. Davis
2025 J jnl
A Guide to Stakeholder Analysis for Cybersecurity Researchers.
CoRR
James C. Davis, Sophie Chen, Huiyun Peng, Paschal C. Amusuo, Kelechi G. Kalu
2025 — conf
A Unit Proofing Framework for Code-level Verification: A Research Agenda.
NIER@ICSE
Paschal C. Amusuo, Parth V. Patil, Owen Cochell, Taylor Le Lievre, James C. Davis
2025 J jnl
ARMS: A Vision for Actor Reputation Metric Systems in the Open-Source Software Supply Chain.
CoRR
Kelechi G. Kalu, Sofia Okorafor, F. Betül Durak, Kim Laine, Radames Cruz Moreno, Santiago Torres-Arias, James C. Davis
2025 J jnl
AdaPerceiver: Transformers with Adaptive Width, Depth, and Tokens.
CoRR
Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiruvathukal, Yung-Hsiang Lu, James C. Davis
2025 J jnl
Advancing Jailbreak Strategies: A Hybrid Approach to Exploiting LLM Vulnerabilities and Bypassing Modern Defenses.
CoRR
Mohamed Ahmed, Mohamed Abdelmouty, Mingyu Kim, Gunvanth Kandula, Alex Park, James C. Davis
2025 J jnl
AgentHub: A Research Agenda for Agent Sharing Infrastructure.
CoRR
Erik Pautsch, Tanmay Singla, Wenxin Jiang, Huiyun Peng, Behnaz Hassanshahi, Konstantin Läufer, George K. Thiruvathukal, James C. Davis
2025 A* conf
An Industry Interview Study of Software Signing for Supply Chain Security.
USENIX Security Symposium
Kelechi G. Kalu, Tanmay Singla, Chinenye Okafor, Santiago Torres-Arias, James C. Davis
2025 J jnl
Anti-Phishing Training Does Not Work: A Large-Scale Empirical Assessment of Multi-Modal Training Grounded in the NIST Phish Scale.
CoRR
Andrew T. Rozema, James C. Davis
2025 J jnl
Detecting Active and Stealthy Typosquatting Threats in Package Registries.
CoRR
Wenxin Jiang, Berk Çakar, Mikola Lysenko, James C. Davis
2025 A* conf
Detecting Music Performance Errors with Transformers.
AAAI
Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos, Tim Nadolsky, Cheng-Yun Yang, Nikita Ravi, James C. Davis, Kristen Yeon-Ji Yun, Yung-Hsiang Lu
2025 J jnl
Detecting Music Performance Errors with Transformers.
CoRR
Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos, Tim Nadolsky, Cheng-Yun Yang, Nikita Ravi, James C. Davis, Kristen Yeon-Ji Yun, Yung-Hsiang Lu
2025 J jnl
Do Unit Proofs Work? An Empirical Study of Compositional Bounded Model Checking for Memory Safety Verification.
CoRR
Paschal C. Amusuo, Owen Cochell, Taylor Le Lievre, Parth V. Patil, Aravind Machiry, James C. Davis
2025 J jnl
Engineering patterns for Trust and Safety on social media platforms: A case study of Mastodon and Diaspora.
J. Syst. Softw.
Geoffrey Cramer, William P. Maxam III, James C. Davis
2025 J jnl
Establishing Provenance Before Coding: Traditional and Next-Generation Software Signing.
IEEE Secur. Priv.
Taylor R. Schorlemmer, Ethan H. Burmane, Kelechi G. Kalu, Santiago Torres-Arias, James C. Davis
2025 J jnl
FalseCrashReducer: Mitigating False Positive Crashes in OSS-Fuzz-Gen Using Agentic AI.
CoRR
Paschal C. Amusuo, Dongge Liu, Ricardo Andrés Calvo Méndez, Jonathan Metzman, Oliver Chang, James C. Davis
2025 J jnl
Finding 709 Defects in 258 Projects: An Experience Report on Applying CodeQL to Open-Source Embedded Software (Experience Paper).
Proc. ACM Softw. Eng.
Mingjie Shen, Akul Abhilash Pillai, Brian A. Yuan, James C. Davis, Aravind Machiry
2025 J jnl
How Do Agents Perform Code Optimization? An Empirical Study.
CoRR
Huiyun Peng, Antonio Zhong, Ricardo Andrés Calvo Méndez, Kelechi G. Kalu, James C. Davis
2025 J jnl
Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis.
CoRR
Nikita Ravi, Abhinav Goel, James C. Davis, George K. Thiruvathukal
2025 J jnl
Inference-Time Alignment of Diffusion Models with Evolutionary Algorithms.
CoRR
Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2025 J jnl
Is Reuse All You Need? A Systematic Comparison of Regular Expression Composition Strategies.
CoRR
Berk Çakar, Charles M. Sale, Sophie Chen, Ethan H. Burmane, Dongyoon Lee, James C. Davis
2025 A* conf
LEMIX: Enabling Testing of Embedded Applications as Linux Applications.
USENIX Security Symposium
Sai Ritvik Tanksalkar, Siddharth Muralee, Srihari Danduri, Paschal C. Amusuo, Antonio Bianchi, James C. Davis, Aravind Kumar Machiry
2025 J jnl
LEMIX: Enabling Testing of Embedded Applications as Linux Applications.
CoRR
Sai Ritvik Tanksalkar, Siddharth Muralee, Srihari Danduri, Paschal C. Amusuo, Antonio Bianchi, James C. Davis, Aravind Machiry
2025 J jnl
LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection.
CoRR
Benjamin Shiue-Hal Chou, Purvish Jajal, Nick John Eliopoulos, James C. Davis, George K. Thiruvathukal, Kristen Yeon-Ji Yun, Yung-Hsiang Lu
2025 J jnl
Learning From Software Failures: A Case Study at a National Space Research Center.
CoRR
Dharun Anandayuvaraj, Tanmay Singla, Zain Hammadeh, Andreas Lund, Alexandra Holloway, James C. Davis
2025 A* conf
PickleBall: Secure Deserialization of Pickle-based Machine Learning Models.
CCS
Andreas D. Kellas, Neophytos Christou, Wenxin Jiang, Penghui Li, Laurent Simon, Yaniv David, Vasileios P. Kemerlis, James C. Davis, Junfeng Yang
2025 J jnl
PickleBall: Secure Deserialization of Pickle-based Machine Learning Models.
CoRR
Andreas D. Kellas, Neophytos Christou, Wenxin Jiang, Penghui Li, Laurent Simon, Yaniv David, Vasileios P. Kemerlis, James C. Davis, Junfeng Yang
2025 A conf
Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge.
WACV
Nicholas John Eliopoulos, Purvish Jajal, James C. Davis, Gaowen Liu, George K. Thiravathukal, Yung-Hsiang Lu
2025 J jnl
Reactive Bottom-Up Testing.
CoRR
Siddharth Muralee, Sourag Cherupattamoolayil, James C. Davis, Antonio Bianchi, Aravind Machiry
2025 — conf
Recommending Pre-Trained Models for IoT Devices.
NIER@ICSE
Parth V. Patil, Wenxin Jiang, Huiyun Peng, Daniel Lugo, Kelechi G. Kalu, Josh LeBlanc, Lawrence Smith, Hyeonwoo Heo, Nathanael Aou, James C. Davis
2025 — conf
Recommending Pre-Trained Models for IoT Devices.
SERP4IoT
Parth V. Patil, Wenxin Jiang, Huiyun Peng, Daniel Lugo, Kelechi G. Kalu, Josh LeBlanc, Lawrence Smith, Hyeonwoo Heo, Nathanael Aou, James C. Davis
2025 A conf
SoK: A Literature and Engineering Review of Regular Expression Denial of Service (ReDoS).
AsiaCCS
Masudul Hasan Masud Bhuiyan, Berk Çakar, Ethan H. Burmane, James C. Davis, Cristian-Alexandru Staicu
2025 J jnl
Software Dependencies 2.0: An Empirical Study of Reuse and Integration of Pre-Trained Models in Open-Source Projects.
CoRR
Jerin Yasmin, Wenxin Jiang, James C. Davis, Yuan Tian
2025 J jnl
SysLLMatic: Large Language Models are Software System Optimizers.
CoRR
Huiyun Peng, Arjun Gupte, Ryan Hasler, Nicholas John Eliopoulos, Chien Chou Ho, Rishi Mantri, Leo Deng, Konstantin Läufer, George K. Thiruvathukal, James C. Davis
2025 A conf
Token Turing Machines are Efficient Vision Models.
WACV
Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiravathukal, James C. Davis, Yung-Hsiang Lu
2025 J jnl
Why Johnny Signs with Sigstore: Examining Tooling as a Factor in Software Signing Adoption in the Sigstore Ecosystem.
CoRR
Kelechi G. Kalu, Sofia Okorafor, Tanmay Singla, Santiago Torres-Arias, James C. Davis
2025 J jnl
Why Software Signing (Still) Matters: Trust Boundaries in the Software Supply Chain.
CoRR
Kelechi G. Kalu, James C. Davis
2024 — conf
A First Look at the General Data Protection Regulation (GDPR) in Open-Source Software.
ICSE Companion
Lucas Franke, Huayu Liang, Aaron Brantly, James C. Davis, Chris Brown
2024 J jnl
A First Look at the General Data Protection Regulation (GDPR) in Open-Source Software.
CoRR
Lucas Franke, Huayu Liang, Aaron Brantly, James C. Davis, Chris Brown
2024 J jnl
A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Garden.
CoRR
Vishal Purohit, Wenxin Jiang, Akshath R. Ravikiran, James C. Davis
2024 J jnl
An Exploratory Mixed-Methods Study on General Data Protection Regulation (GDPR) Compliance in Open-Source Software.
CoRR
Lucas Franke, Huayu Liang, Sahar Farzanehpour, Aaron Brantly, James C. Davis, Chris Brown
2024 A conf
An Exploratory Mixed-methods Study on General Data Protection Regulation (GDPR) Compliance in Open-Source Software.
ESEM
Lucas Franke, Huayu Liang, Sahar Farzanehpour, Aaron Brantly, James C. Davis, Chris Brown
2024 J jnl
An Exploratory Study on Upper-Level Computing Students' Use of Large Language Models as Tools in a Semester-Long Project.
CoRR
Ben Arie Tanay, Lexy Arinze, Siddhant Sanjay Joshi, Kirsten A. Davis, James C. Davis
2024 J jnl
An Industry Interview Study of Software Signing for Supply Chain Security.
CoRR
Kelechi G. Kalu, Tanya Singla, Chinenye Okafor, Santiago Torres-Arias, James C. Davis
2024 A* conf
An Interview Study on Third-Party Cyber Threat Hunting Processes in the U.S. Department of Homeland Security.
USENIX Security Symposium
William P. Maxam III, James C. Davis
2024 J jnl
An Interview Study on Third-Party Cyber Threat Hunting Processes in the U.S. Department of Homeland Security.
CoRR
William P. Maxam III, James C. Davis
2024 J jnl
Can Large Language Models Analyze Software Failures in the News? An End-to-End Automated Pipeline with FAIL.
CoRR
Dharun Anandayuvaraj, Matthew Campbell, Arav Tewari, James C. Davis
2024 J jnl
Can Large-Language Models Help us Better Understand and Teach the Development of Energy-Efficient Software?
CoRR
Ryan Hasler, Konstantin Läufer, George K. Thiruvathukal, Huiyun Peng, Kyle Robinson, Kirsten Davis, Yung-Hsiang Lu, James C. Davis
2024 J jnl
Challenges and practices of deep learning model reengineering: A case study on computer vision.
Empir. Softw. Eng.
Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, James C. Davis
2024 J jnl
DiVerify: Diversifying Identity Verification in Next-Generation Software Signing.
CoRR
Chinenye L. Okafor, James C. Davis, Santiago Torres-Arias
2024 J jnl
Enabling Unit Proofing for Software Implementation Verification.
CoRR
Paschal C. Amusuo, Parth V. Patil, Owen Cochell, Taylor Le Lievre, James C. Davis
2024 J jnl
Establishing Provenance Before Coding: Traditional and Next-Gen Signing.
CoRR
Taylor R. Schorlemmer, Ethan H. Burmane, Kelechi G. Kalu, Santiago Torres-Arias, James C. Davis
2024 A* conf
FAIL: Analyzing Software Failures from the News Using LLMs.
ASE
Dharun Anandayuvaraj, Matthew Campbell, Arav Tewari, James C. Davis
2024 A conf
Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters.
ISSTA
Purvish Jajal, Wenxin Jiang, Arav Tewari, Erik Kocinare, Joseph Woo, Anusha Sarraf, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2024 J jnl
Introducing Systems Thinking as a Framework for Teaching and Assessing Threat Modeling Competency.
CoRR
Siddhant Sanjay Joshi, Preeti Mukherjee, Kirsten A. Davis, James C. Davis
2024 J jnl
Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions.
CoRR
Huiyun Peng, Arjun Gupte, Nicholas John Eliopoulos, Chien Chou Ho, Rishi Mantri, Leo Deng, Wenxin Jiang, Yung-Hsiang Lu, Konstantin Läufer, George K. Thiruvathukal, James C. Davis
2024 J jnl
On the Contents and Utility of IoT Cybersecurity Guidelines.
Proc. ACM Softw. Eng.
Jesse Chen, Dharun Anandayuvaraj, James C. Davis, Sazzadur Rahaman
2024 A conf
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software.
MSR
Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis
2024 J jnl
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software.
CoRR
Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis
2024 J jnl
Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge.
CoRR
Nick John Eliopoulos, Purvish Jajal, James C. Davis, Gaowen Liu, George K. Thiravathukal, Yung-Hsiang Lu
2024 J jnl
Recommending Pre-Trained Models for IoT Devices.
CoRR
Parth V. Patil, Wenxin Jiang, Huiyun Peng, Daniel Lugo, Kelechi G. Kalu, David J. LeBlanc, Lawrence Smith, Hyeonwoo Heo, Nathanael Aou, James C. Davis
2024 J jnl
Reusing Deep Learning Models: Challenges and Directions in Software Engineering.
CoRR
James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal
2024 A* conf
Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors.
SP
Taylor R. Schorlemmer, Kelechi G. Kalu, Luke Chigges, Kyung Myung Ko, Eman Abu Ishgair, Saurabh Bagchi, Santiago Torres-Arias, James C. Davis
2024 J jnl
Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors.
CoRR
Taylor R. Schorlemmer, Kelechi G. Kalu, Luke Chigges, Kyung Myung Ko, Eman Abdul-Muhd Abu Isghair, Saurabh Baghi, Santiago Torres-Arias, James C. Davis
2024 J jnl
SoK: A Literature and Engineering Review of Regular Expression Denial of Service.
CoRR
Masudul Hasan Masud Bhuiyan, Berk Çakar, Ethan H. Burmane, James C. Davis, Cristian-Alexandru Staicu
2024 J jnl
SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties.
CoRR
Chinenye Okafor, Taylor R. Schorlemmer, Santiago Torres-Arias, James C. Davis
2024 J jnl
Token Turing Machines are Efficient Vision Models.
CoRR
Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiravathukal, James C. Davis, Yung-Hsiang Lu
2024 A conf
What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims.
ESEM
Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis
2024 J jnl
What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims.
CoRR
Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis
2023 J jnl
A Unified Taxonomy and Evaluation of IoT Security Guidelines.
CoRR
Jesse Chen, Dharun Anandayuvaraj, James C. Davis, Sazzadur Rahaman
2023 A* conf
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry.
ICSE
Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2023 J jnl
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry.
CoRR
Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2023 — conf
An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures.
SCORED@CCS
Tanmay Singla, Dharun Anandayuvaraj, Kelechi G. Kalu, Taylor R. Schorlemmer, James C. Davis
2023 J jnl
An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures.
CoRR
Tanmay Singla, Dharun Anandayuvaraj, Kelechi G. Kalu, Taylor R. Schorlemmer, James C. Davis
2023 J jnl
An Empirical Study on the Use of Static Analysis Tools in Open Source Embedded Software.
CoRR
Mingjie Shen, Akul Abhilash Pillai, Brian A. Yuan, James C. Davis, Aravind Machiry
2023 J jnl
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem.
CoRR
Purvish Jajal, Wenxin Jiang, Arav Tewari, Joseph Woo, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2023 J jnl
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision.
CoRR
Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, James C. Davis
2023 J jnl
Discrepancies among Pre-trained Deep Neural Networks: A New Threat to Model Zoo Reliability.
CoRR
Diego Montes, Pongpatapee Peerapatanapokin, Jeff Schultz, Chengjun Guo, Wenxin Jiang, James C. Davis
2023 J jnl
Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge.
Computer
Xiao Hu, Ziteng Jiao, Ayden Kocher, Zhenyu Wu, Junjie Liu, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2023 J jnl
Exploiting Input Sanitization for Regex Denial of Service.
CoRR
Efe Barlas, Xin Du, James C. Davis
2023 J jnl
Exploring Naming Conventions (and Defects) of Pre-trained Deep Learning Models in Hugging Face and Other Model Hubs.
CoRR
Wenxin Jiang, Chingwo Cheung, George K. Thiruvathukal, James C. Davis
2023 A* conf
Improving Developers' Understanding of Regex Denial of Service Tools through Anti-Patterns and Fix Strategies.
SP
Sk Adnan Hassan, Zainab Aamir, Dongyoon Lee, James C. Davis, Francisco Servant
2023 — conf
Incorporating Failure Knowledge into Design Decisions for IoT Systems: A Controlled Experiment on Novices.
SERP4IoT
Dharun Anandayuvaraj, Pujita Thulluri, Justin Figueroa, Harshit Shandilya, James C. Davis
2023 A conf
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages.
MSR
Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis
2023 J jnl
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages.
CoRR
Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis
2023 J jnl
PeaTMOSS: Mining Pre-Trained Models in Open-Source Software.
CoRR
Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajeev Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis
2023 J jnl
Preventing Supply Chain Vulnerabilities in Java with a Fine-Grained Permission Manager.
CoRR
Paschal C. Amusuo, Kyle A. Robinson, Santiago Torres-Arias, Laurent Simon, James C. Davis
2023 — conf
Reflecting on the Use of the Policy-Process-Product Theory in Empirical Software Engineering.
ESEC/SIGSOFT FSE
Kelechi G. Kalu, Taylor R. Schorlemmer, Sophie Chen, Kyle A. Robinson, Erik Kocinare, James C. Davis
2023 J jnl
Reflecting on the Use of the Policy-Process-Product Theory in Empirical Software Engineering.
CoRR
Kelechi G. Kalu, Taylor R. Schorlemmer, Sophie Chen, Kyle A. Robinson, Erik Kocinare, James C. Davis
2023 J jnl
Regexes are Hard: Decision-making, Difficulties, and Risks in Programming Regular Expressions.
CoRR
Louis G. Michael IV, James Donohue, James C. Davis, Dongyoon Lee, Francisco Servant
2023 — conf
Reusing Deep Learning Models: Challenges and Directions in Software Engineering.
JVA
James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal
2023 A* conf
Systematically Detecting Packet Validation Vulnerabilities in Embedded Network Stacks.
ASE
Paschal C. Amusuo, Ricardo Andrés Calvo Méndez, Zhongwei Xu, Aravind Machiry, James C. Davis
2023 J jnl
Systematically Detecting Packet Validation Vulnerabilities in Embedded Network Stacks.
CoRR
Paschal C. Amusuo, Ricardo Andrés Calvo Méndez, Zhongwei Xu, Aravind Machiry, James C. Davis
2023 B conf
Towards Automated Identification of Layering Violations in Embedded Applications (WIP).
LCTES
Mingjie Shen, James C. Davis, Aravind Machiry
2023 — conf
Towards Rehosting Embedded Applications as Linux Applications.
DSN-S
Jayashree Srinivasan, Sai Ritvik Tanksalkar, Paschal C. Amusuo, James C. Davis, Aravind Machiry
2023 J jnl
Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision.
IEEE Des. Test
Abhinav Goel, Caleb Tung, Nick Eliopoulos, George K. Thiruvathukal, Amy Wang, Yung-Hsiang Lu, James C. Davis
2022 — conf
"If security is required": Engineering and Security Practices for Machine Learning-based IoT Devices.
SERP4IoT
Nikhil Krishna Gopalakrishna, Dharun Anandayuvaraj, Annan Detti, Forrest Lee Bland, Sazzadur Rahaman, James C. Davis
2022 J jnl
A fine-grained data set and analysis of tangling in bug fixing commits.
Empir. Softw. Eng.
Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo-Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James C. Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel
2022 — conf
An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain.
SCORED@CCS
Wenxin Jiang, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, Taylor R. Schorlemmer, George K. Thiruvathukal, James C. Davis
2022 A conf
An Empirical Study on the Impact of Deep Parameters on Mobile App Energy Usage.
SANER
Qiang Xu, James C. Davis, Y. Charlie Hu, Abhilash Jindal
2022 A conf
Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision.
ISLPED
Abhinav Goel, Caleb Tung, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2022 — conf
Discrepancies among pre-trained deep neural networks: a new threat to model zoo reliability.
ESEC/SIGSOFT FSE
Diego Montes, Pongpatapee Peerapatanapokin, Jeff Schultz, Chengjun Guo, Wenxin Jiang, James C. Davis
2022 — conf
Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks.
ASP-DAC
Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2022 Misc conf
Establishing trust in vehicle-to-vehicle coordination: a sensor fusion approach.
HotMobile
Jakob Veselsky, Jack West, Isaac Ahlgren, George K. Thiruvathukal, Neil Klingensmith, Abhinav Goel, Wenxin Jiang, James C. Davis, Kyuin Lee, Younghyun Kim
2022 A* conf
Exploiting Input Sanitization for Regex Denial of Service.
ICSE
Efe Barlas, Xin Du, James C. Davis
2022 J jnl
Improving Developers' Understanding of Regex Denial of Service Tools through Anti-Patterns and Fix Strategies.
CoRR
Sk Adnan Hassan, Zainab Aamir, Dongyoon Lee, James C. Davis, Francisco Servant
2022 A* conf
Reflecting on Recurring Failures in IoT Development.
ASE
Dharun Anandayuvaraj, James C. Davis
2022 J jnl
Reflecting on Recurring Failures in IoT Development.
CoRR
Dharun Anandayuvaraj, James C. Davis
2022 J jnl
Reflections on Software Failure Analysis.
CoRR
Paschal C. Amusuo, Aishwarya Sharma, Siddharth R. Rao, Abbey Vincent, James C. Davis
2022 — conf
Reflections on software failure analysis.
ESEC/SIGSOFT FSE
Paschal C. Amusuo, Aishwarya Sharma, Siddharth R. Rao, Abbey Vincent, James C. Davis
2022 A* conf
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics.
ASE
Nicholas M. Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal
2022 J jnl
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics.
CoRR
Nicholas Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal
2022 — conf
SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties.
SCORED@CCS
Chinenye Okafor, Taylor R. Schorlemmer, Santiago Torres-Arias, James C. Davis
2022 J jnl
Towards a Failure-Aware SDLC for Internet of Things.
CoRR
Dharun Anandayuvaraj, Pujita Thulluri, Justin Figueroa, Harshit Shandilya, James C. Davis
2021 — conf
A replication of 'DeepBugs: a learning approach to name-based bug detection'.
ESEC/SIGSOFT FSE
Jordan Winkler, Abhimanyu Agarwal, Caleb Tung, Dario Rios Ugalde, Young Jin Jung, James C. Davis
2021 J jnl
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors.
CoRR
Vishnu Banna, Akhil Chinnakotla, Zhengxin Yan, Anirudh Vegesana, Naveen Vivek, Kruthi Krishnappa, Wenxin Jiang, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2021 J jnl
Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks.
CoRR
Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2021 J jnl
Fast and accurate incremental feedback for students' software tests using selective mutation analysis.
J. Syst. Softw.
Ayaan M. Kazerouni, James C. Davis, Arinjoy Basak, Clifford A. Shaffer, Francisco Servant, Stephen H. Edwards
2021 A conf
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks.
ISLPED
Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2021 J jnl
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks.
CoRR
Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2021 A* conf
Using Selective Memoization to Defeat Regular Expression Denial of Service (ReDoS).
SP
James C. Davis, Francisco Servant, Dongyoon Lee
2021 J jnl
Why Aren't Regular Expressions a Lingua Franca? An Empirical Study on the Re-use and Portability of Regular Expressions.
CoRR
James C. Davis, Louis G. Michael IV, Christy A. Coghlan, Francisco Servant, Dongyoon Lee
2020 J jnl
A Principled Approach to GraphQL Query Cost Analysis.
CoRR
Alan Cha, Erik Wittern, Guillaume Baudart, James C. Davis, Louis Mandel, Jim Alain Laredo
2020 — conf
A principled approach to GraphQL query cost analysis.
ESEC/SIGSOFT FSE
Alan Cha, Erik Wittern, Guillaume Baudart, James C. Davis, Louis Mandel, Jim Alain Laredo
2020 J jnl
Improving Reproducibility of Data Science Pipelines through Transparent Provenance Capture.
Proc. VLDB Endow.
Lukas Rupprecht, James C. Davis, Constantine Arnold, Yaniv Gur, Deepavali Bhagwat
2020 J jnl
Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling.
CoRR
Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo-Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James C. Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel
2020 — —
On the Impact and Defeat of Regular Expression Denial of Service.
James C. Davis
2019 A conf
An Empirical Study of GraphQL Schemas.
ICSOC
Erik Wittern, Alan Cha, James C. Davis, Guillaume Baudart, Louis Mandel
2019 J jnl
An Empirical Study of GraphQL Schemas.
CoRR
Erik Wittern, Alan Cha, James C. Davis, Guillaume Baudart, Louis Mandel
2019 — conf
EdgeWise: A Better Stream Processing Engine for the Edge.
USENIX ATC
Xinwei Fu, Talha Ghaffar, James C. Davis, Dongyoon Lee
2019 A* conf
Regexes are Hard: Decision-Making, Difficulties, and Risks in Programming Regular Expressions.
ASE
Louis G. Michael IV, James Donohue, James C. Davis, Dongyoon Lee, Francisco Servant
2019 — conf
Rethinking Regex engines to address ReDoS.
ESEC/SIGSOFT FSE
James C. Davis
2019 A* conf
Testing Regex Generalizability And Its Implications: A Large-Scale Many-Language Measurement Study.
ASE
James C. Davis, Daniel Moyer, Ayaan M. Kazerouni, Dongyoon Lee
2019 — conf
Ursprung: Provenance for Large-Scale Analytics Environments.
SIGMOD Conference
Lukas Rupprecht, James C. Davis, Constantine Arnold, Alexander L. R. Lubbock, Darren R. Tyson, Deepavali Bhagwat
2019 — conf
Why aren't regular expressions a lingua franca? an empirical study on the re-use and portability of regular expressions.
ESEC/SIGSOFT FSE
James C. Davis, Louis G. Michael IV, Christy A. Coghlan, Francisco Servant, Dongyoon Lee
2018 A* conf
A Sense of Time for JavaScript and Node.js: First-Class Timeouts as a Cure for Event Handler Poisoning.
USENIX Security Symposium
James C. Davis, Eric R. Williamson, Dongyoon Lee
2018 — conf
The impact of regular expression denial of service (ReDoS) in practice: an empirical study at the ecosystem scale.
ESEC/SIGSOFT FSE
James C. Davis, Christy A. Coghlan, Francisco Servant, Dongyoon Lee
2017 A conf
Node.fz: Fuzzing the Server-Side Event-Driven Architecture.
EuroSys
James C. Davis, Arun Thekumparampil, Dongyoon Lee
2017 — conf
The Case of the Poisoned Event Handler: Weaknesses in the Node.js Event-Driven Architecture.
EUROSEC
James C. Davis, Gregor Kildow, Dongyoon Lee