Lin Deng

According to our database, Lin Deng authored at least 35 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Mutant-Kraken: A Mutation Testing Tool for Kotlin.

Josue Molina-Morales, Lin Deng, Josh Dehlinger, Suranjan Chakraborty

Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2024, 2024

2023

A Hands-on Digital Forensic Lab to Investigate Morris Worm Attack.

Eric Xu, Alex S. Xu, Danny Ferreira, Lin Deng

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Experimental Evaluation of Adversarial Attacks Against Natural Language Machine Learning Models.

Jonathan Li, Steven Pugh, Honghe Zhou, Lin Deng, Josh Dehlinger, Suranjan Chakraborty

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Reconstructing Android User Behavior through Timestamped State Models.

Honghe Zhou, Phuong Dinh Nguyen, Lin Deng, Weifeng Xu, Josh Dehlinger, Suranjan Chakraborty

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

Towards Internet of Things (IoT) Forensics Analysis on Intelligent Robot Vacuum Systems.

Honghe Zhou, Lin Deng, Weifeng Xu, Wei Yu, Josh Dehlinger, Suranjan Chakraborty

Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering Research, 2022

Securing Sensitive Data in Java Virtual Machines.

Lin Deng, Bingyang Wei, Jin Guo, Matt Benke, Tyler Howard, Matt Krause, Aman Patel

Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering Research, 2022

Towards Designing Shared Digital Forensics Instructional Materials.

Weifeng Xu, Lin Deng, Dianxiang Xu

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021

Towards authentic undergraduate research experiences in software engineering and machine learning.

Suranjan Chakraborty, Lin Deng, Josh Dehlinger

Proceedings of the EASEAI 2021: Proceedings of the 3rd International Workshop on Education through Advanced Software Engineering and Artificial Intelligence, 2021

Using Recurrent Neural Networks for Classification of Natural Language-based Non-functional Requirements.

Rajesh Kumar Gnanasekaran, Suranjan Chakraborty, Josh Dehlinger, Lin Deng

Proceedings of the Joint Proceedings of REFSQ 2021 Workshops, 2021

Automatic Equivalent Mutants Classification Using Abstract Syntax Tree Neural Networks.

Samuel Peacock, Lin Deng, Josh Dehlinger, Suranjan Chakraborty

Proceedings of the 14th IEEE International Conference on Software Testing, 2021

Automatic Identification of Vulnerable Code: Investigations with an AST-Based Neural Network.

Garrett Partenza, Trevor Amburgey, Lin Deng, Josh Dehlinger, Suranjan Chakraborty

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

Teaching Software Testing with Free and Open Source Software.

Lin Deng, Josh Dehlinger, Suranjan Chakraborty

Proceedings of the 13th IEEE International Conference on Software Testing, 2020

2019

Defects and Vulnerabilities in Smart Contracts, a Classification using the NIST Bugs Framework.

Wesley Dingman, Aviel Cohen, Nick Ferrara, Adam Lynch, Patrick Jasinski, Paul E. Black, Lin Deng

Int. J. Networked Distributed Comput., 2019

Towards Automated Security Vulnerability and Software Defect Localization.

Nicholas Visalli, Lin Deng, Amro Alsuwaida, Zachary Brown, Manish Joshi, Bingyang Wei

Proceedings of the 17th IEEE International Conference on Software Engineering Research, 2019

Classification of Smart Contract Bugs Using the NIST Bugs Framework.

Wesley Dingman, Aviel Cohen, Nick Ferrara, Adam Lynch, Patrick Jasinski, Paul E. Black, Lin Deng

Proceedings of the 17th IEEE International Conference on Software Engineering Research, 2019

Project Achilles: A Prototype Tool for Static Method-Level Vulnerability Detection of Java Source Code Using a Recurrent Neural Network.

Nicholas Saccente, Josh Dehlinger, Lin Deng, Suranjan Chakraborty, Yin Xiong

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2019

Towards an Augmented Reality-Based Mobile Math Learning Game System.

Lin Deng, Jing Tian, Christopher Cornwell, Victoria Phillips, Long Chen, Amro Alsuwaida

Proceedings of the HCI International 2019 - Posters - 21st International Conference, 2019

Automatic Multi-class Non-Functional Software Requirements Classification Using Neural Networks.

Cody Baker, Lin Deng, Suranjan Chakraborty, Josh Dehlinger

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

Deviant: A Mutation Testing Tool for Solidity Smart Contracts.

Patrick Chapman, Dianxiang Xu, Lin Deng, Yin Xiong

Proceedings of the IEEE International Conference on Blockchain, 2019

2018

Experimental Evaluation of Redundancy in Android Mutation Testing.

Lin Deng, Jeff Offutt

Int. J. Softw. Eng. Knowl. Eng., 2018

Reducing the Cost of Android Mutation Testing.

Lin Deng, Jeff Offutt

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

2017

Mutation operators for testing Android apps.

Lin Deng, Jeff Offutt, Paul Ammann, Nariman Mirzaei

Inf. Softw. Technol., 2017

Is Mutation Analysis Effective at Testing Android Apps?

Lin Deng, Jeff Offutt, David Samudio

Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Measurement of Source Code Readability Using Word Concreteness and Memory Retention of Variable Names.

Weifeng Xu, Dianxiang Xu, Lin Deng

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016

Barriers to Usable Security? Three Organizational Case Studies.

Deanna D. Caputo, Shari Lawrence Pfleeger, M. Angela Sasse, Paul Ammann, Jeff Offutt, Lin Deng

IEEE Secur. Priv., 2016

An Experimental Evaluation of Web Mutation Operators.

Upsorn Praphamontripong, Jeff Offutt, Lin Deng, Jingjing Gu

Proceedings of the Ninth IEEE International Conference on Software Testing, 2016

2015

Semi-supervised classification based on subspace sparse representation.

Guo-Xian Yu, Guoji Zhang, Zili Zhang, Zhiwen Yu, Lin Deng

Knowl. Inf. Syst., 2015

Towards mutation analysis of Android apps.

Lin Deng, Nariman Mirzaei, Paul Ammann, Jeff Offutt

Proceedings of the Eighth IEEE International Conference on Software Testing, 2015

2014

Growing a Reduced Set of Mutation Operators.

Márcio Eduardo Delamaro, Lin Deng, Nan Li, Vinicius Humberto Serapilha Durelli, Jeff Offutt

Proceedings of the 2014 Brazilian Symposium on Software Engineering, Maceió, Brazil, September 28, 2014

Mutant Subsumption Graphs.

Bob Kurtz, Paul Ammann, Márcio Eduardo Delamaro, Jeff Offutt, Lin Deng

Proceedings of the Seventh IEEE International Conference on Software Testing, 2014

Experimental Evaluation of SDL and One-Op Mutation for C.

Márcio Eduardo Delamaro, Lin Deng, Vinicius Humberto Serapilha Durelli, Nan Li, Jeff Offutt

Proceedings of the Seventh IEEE International Conference on Software Testing, 2014

2013

Is bytecode instrumentation as good as source code instrumentation: An empirical study with industrial tools (Experience Report).

Nan Li, Xin Meng, Jeff Offutt, Lin Deng

Proceedings of the IEEE 24th International Symposium on Software Reliability Engineering, 2013

Empirical Evaluation of the Statement Deletion Mutation Operator.

Lin Deng, Jeff Offutt, Nan Li

Proceedings of the Sixth IEEE International Conference on Software Testing, 2013

2012

Annotating Resources in Sequence Diagrams for Testing Web Security.

Weifeng Xu, Lin Deng, Qing Zheng

Proceedings of the Ninth International Conference on Information Technology: New Generations, 2012

2008

Efficient Bar-Code Watermark System to Protectagricultural Products Information Andcopyright.

Lin Deng, Xiaoming Wen

Proceedings of the Computer and Computing Technologies in Agriculture II, Volume 3, 2008