Publications

  • Honghe Zhou, Phuong Dinh Nguyen, Lin Deng, Weifeng Xu, Josh Dehlinger and Suranjan Chakraborty, Reconstructing Android User Behavior through Timestamped State Models, in the 47th Annual IEEE Computer Software and Applications Conference (COMPSAC 2023), June 2023, Turin, Italy.
  • Jonathan Li, Steven Pugh, Honghe Zhou, Lin Deng, Josh Dehlinger and Suranjan Chakraborty, Experimental Evaluation of Adversarial Attacks Against Natural Language Machine Learning Models, in the 21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2023), May 2023, Orlando, FL.
  • Eric Xu, Alex Xu, Danny Ferreira, and Lin Deng, A Hands-on Digital Forensic Lab to Investigate Morris Worm Attack, in the 54th ACM Technical Symposium on Computing Science Education (SIGCSE 2023), March 2023, Toronto, Canada.
  • Weifeng Xu, Lin Deng and Dianxiang Xu, Towards Designing Shared Digital Forensics Instructional Materials, in the 46th Annual IEEE Computer Software and Applications Conference (COMPSAC 2022), June 2022.
  • Honghe Zhou, Lin Deng, Weifeng Xu, Wei Yu, Josh Dehlinger and Suranjan Chakraborty, Towards Internet of Things (IoT) Forensics Analysis on Intelligent Robot Vacuum Systems, in the 20th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, May 2022, Las Vegas, NV.
  • Lin Deng, Bingyang Wei, Jin Guo, Matt Benke, Tyler Howard, Matt Krause and Aman Patel, Securing Sensitive Data in Java Virtual Machines, in the 20th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, May 2022, Las Vegas, NV.
  • Bingyang Wei, Lin Deng and Yi Wang, A Practical Style Guide and Templates Repository for Writing Effective Use Cases, in the 20th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, May 2022, Las Vegas, NV.
  • Suranjan Chakraborty, Lin Deng, and Josh Dehlinger, Towards Authentic Undergraduate Research Experiences in Software Engineering and Machine Learning, in the 3rd International Workshop on Education through Advanced Software Engineering and Artificial Intelligence, August 2021, Athens, Greece.
  • Garrett Partenza, Trevor Amburgey, Lin Deng, Josh Dehlinger and Suranjan Chakraborty, Automatic Identification of Vulnerable Code: Investigations with an AST-Based Neural Network, in the 4th IEEE International Workshop on Advances in Artificial Intelligence & Machine Learning (AIML 2021): Applications, Challenges & Concerns, July 2021, Spain.
  • Rajesh Kumar Gnanasekaran, Suranjan Chakraborty, Josh Dehlinger, and Lin Deng, Using Recurrent Neural Networks for Classification of Natural Language-based Non-functional Requirements, in the 4th International Workshop on Natural Language Processing for Requirements Engineering (NLP4RE 2021), April 2021, Germany.
  • Samuel Peacock, Lin Deng, Josh Dehlinger, and Suranjan Chakraborty, Automatic Equivalent Mutants Classification Using Abstract Syntax Tree Neural Networks, in the 16th International Workshop on Mutation Analysis (Mutation 2021), April 2021, Porto de Galinhas, Brazil.
  • Lin Deng, Josh Dehlinger, and Suranjan Chakraborty, Teaching Software Testing with Free and Open Source Software, in the 1st International Software Testing Education Workshop (TestEd 2020), March 2020, Porto, Portugal.
  • Nicholas Saccente, Josh Dehlinger, Lin Deng, Suranjan Chakraborty, and Yin Xiong, Project Achilles: A Prototype Tool for Static Method-Level Vulnerability Detection of Java Source Code Using a Recurrent Neural Network, in the 1st International Workshop on Software Engineering Intelligence (SEI 2019), November 2019, San Diego, CA.
  • Wesley Dingman, Aviel Cohen, Nick Ferrara, Adam Lynch, Patrick Jasinski, Paul E. Black and Lin Deng, Defects and Vulnerabilities in Smart Contracts, a Classification using the NIST Bugs Framework, in the International Journal of Networked and Distributed Computing, Volume 7, Issue 3, August 2019, Pages 121-132.
  • Patrick Chapman, Dianxiang Xu, Lin Deng, and Yin Xiong, Deviant: A Mutation Testing Tool for Solidity Smart Contracts, in the 2nd IEEE International Conference on Blockchain (Blockchain 2019) .
  • Cody Baker, Lin Deng, Suranjan Chakraborty and Josh Dehlinger, Automatic Multi-Class Non-Functional Software Requirements Classification Using Neural Networks, in the 13th IEEE International Workshop on Quality Oriented Reuse of Software (QUORS 2019) .
  • Bingyang Wei, Yihao Li, Lin Deng and Nicholas Visalli, Teaching Distributed Software Architecture By Building an Industrial Level E-commerce Application, in the 17th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2019).
  • Nicholas Visalli, Lin Deng, Amro Al-Suwaida, Zachary Brown, Manish Joshi and Bingyang Wei, Towards Automated Security Vulnerability and Software Defect Localization, in the 17th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2019).
  • Wesley Dingman, Aviel Cohen, Nick Ferrara, Adam Lynch, Patrick Jasinski, Paul E. Black and Lin Deng, Classification of Smart Contract Bugs Using the NIST Bugs Framework, in the 17th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2019).
  • Tim Merino, Matt Stillwell, Mark Steele, Max Coplan, Jon Patton, Alexander Stoyanov and Lin Deng, Expansion of Cyber Attack Data from Unbalanced Datasets using Generative Adversarial Networks, in the 17th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2019).
  • Lin Deng, Jing Tian, Christopher Cornwell, Victoria Phillips, Long Chen, and Amro Alsuwaida, Towards an Augmented Reality-based Mobile Math Learning Game System, in 21st International Conference on Human-Computer Interaction (HCII 2019).
  • Lin Deng and Jeff Offutt, Experimental Evaluation of Redundancy in Android Mutation Testing, International Journal of Software Engineering and Knowledge Engineering, 28, No. 11n12, pp. 1597-1618, 2018.
  • Lin Deng and Jeff Offutt, Reducing the Cost of Android Mutation Testing, 2018 the 30th International Conference on Software Engineering and Knowledge Engineering (SEKE 2018), San Francisco, CA, 2018, pp. 542-547.
  • Lin Deng, Jeff Offutt and David Samudio, Is Mutation Analysis Effective at Testing Android Apps?, 2017 IEEE International Conference on Software Quality, Reliability and Security (QRS), Prague, 2017, pp. 86-93.
  • Weifeng Xu, Dianxiang Xu and Lin Deng, Measurement of Source Code Readability Using Word Concreteness and Memory Retention of Variable Names, 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), Turin, 2017, pp. 33-38.
  • Feras Batarseh, Ruixin Yang, and Lin Deng, A Comprehensive Model for Management and Validation of Federal Big Data Analytical Systems, in Big Data Analytics, 2:2.
  • Deanna Caputo, Shari Pfleeger, Angela Sasse, Paul Ammann, Jeff Offutt, and Lin Deng, Barriers to Usable Security? Three Organizational Case Studies, in IEEE Security and Privacy, vol. 14, no. 5, pp. 22-32, Sept.-Oct. 2016.
  • Lin Deng, Jeff Offutt, Paul Ammann, and Nariman Mirzaei, Mutation Operators for Testing Android Apps, in Information and Software Technology, Volume 81, January 2017, Pages 154-168.
  • Upsorn Praphamontripong, Jeff Offutt, Lin Deng, and Jingjing Gu, An Experimental Evaluation of Web Mutation Operators, in 11th Workshop on Mutation Analysis (Mutation 2016), April 2016, Chicago, IL
  • Lin Deng, Nariman Mirzaei, Paul Ammann, and Jeff Offutt, Towards Mutation Analysis of Android Apps, in 10th Workshop on Mutation Analysis (Mutation 2015), held in conjunction with 8th IEEE International Conference on Software Testing, Verification and Validation (ICST 2015), April 2015, Graz, Austria. [PDF]
  • Marcio Eduardo Delamaro, Lin Deng, Nan Li, Vinicius Durelli and Jeff Offutt, Growing a Reduced Set of Mutation Operators, in Proc. of 28th Brazilian Symposium on Software Engineering (SBES 2014), September 2014, Maceió AL, Brazil.
  • Bob Kurtz, Paul Ammann, Marcio Delamaro, Jeff Offutt, and Lin Deng, Mutation Subsumption Graphs, in 9th Workshop on Mutation Analysis (Mutation 2014), held in conjunction with 7th IEEE International Conference on Software Testing, Verification and Validation (ICST 2014), April 2014, Cleveland, OH.
  • Marcio Eduardo Delamaro, Lin Deng, Nan Li, Vinicius Durelli and Jeff Offutt, Experimental Evaluation of SDL and One-Op Mutation for C, in Proc. of 7th IEEE International Conference on Software Testing, Verification and Validation (ICST 2014), April 2014, Cleveland, OH.
  • Nan Li, Xin Meng, Jeff Offutt, and Lin Deng, Is Bytecode Instrumentation as Good as Source Instrumentation: An Empirical Study with Industrial Tools, in Proc. of 24th IEEE International Symposium on Software Reliability Engineering (ISSRE 2013), November 2013, Pasadena, CA.
  • Lin Deng, Jeff Offutt, and Nan Li, Empirical Evaluation of the Statement Deletion Mutation Operator, in Proc. of 6th IEEE International Conference on Software Testing, Verification and Validation (ICST2013), March 2013, Luxembourg. [PDF]
  • Guoxian Yu, Guoji Zhang, Zili Zhang, Zhiwen Yu, and Lin Deng, Semi-supervised Classification Based on Subspace Sparse Representation, in Knowledge and Information Systems, vol. 43, no. 1, pp. 81-101, 2015.
  • Weifeng Xu, Lin Deng, Tao Ding, Detecting Web Security Risks With UML Design Models, in Proc. of the 7th IASTED International Conference on Communication, Internet, and Information Technology (CIIT 2012), May 2012, Baltimore, MD.
  • Weifeng Xu, Lin Deng, and Qing Zheng, Annotating Resources in Sequence Diagrams for Testing Web Security, in Proc. of 9th International Conference on Information Technology: New Generations (ITNG2012), Apr. 2012, Las Vegas, NV.
  • Weifeng Xu, Lin Deng, Qing Zheng, and Stephen Frezza, Using Stereo Vision to Construct 3-D Surface Models, IEEE Potentials, Vol. 31, Issue 2, pp. 31-37, Apr. 2012.
  • Lin Deng, Weifeng Xu, Stephen Frezza, A Resource-based Approach to Extend UML Diagrams for Web Applications, in Proc. of International Conference on Computer Science and Service System (CSSS2011), Jul. 2011.
  • Weifeng Xu, Lin Deng, and Yunkai Liu, A Resource-based Approach to Formalize Use Case Specification for Web Applications, in Proc. of 2010 International Conference on Progress in Informatics and Computing Conference (PIC-2010), Dec. 2010.