Lin Deng | Towson University


Lin Deng completed his Ph.D. in Information Technology in the Department of Computer
Science at George Mason University in 2017.  He received his M.S. in Computer and
Information Sciences from Gannon University in Pennsylvania in 2011. He worked as
a computer engineer at State Intellectual Property Office of China for more than three
years. His research interests include software engineering, software testing, mobile
and web application development, cyber security, mutation analysis, and crowdsourcing.

Selected Publications and Presentations:

Lin Deng, Jeff Offutt, and David Samudio, Is Mutation Analysis Effective at Testing
Android Apps?, IEEE International Conference on Software Quality, Reliability and
Security (QRS 2017), July 2017.

Lin Deng, Jeff Offutt, Paul Ammann, and Nariman Mirzaei, Mutation Operators for Testing
Android Apps, Information and Software Technology, Vol. 81, January 2017, Pages 154-168.

Feras Batarseh, Ruixin Yang, and Lin Deng, A Comprehensive Model for Management and
Validation of Federal Big Data Analytical Systems, Big Data Analytics, 2017, 2:2.

Deanna Caputo, Shari Pfleeger, Angela Sasse, Paul Ammann, Jeff Offutt, and Lin Deng,
Barriers to Usable Security? Three Organizational Case Studies, IEEE Security and
Privacy, Vol. 14, No. 5, Pages 22-32, Sept.-Oct. 2016.

Lin Deng, Nariman Mirzaei, Paul Ammann, and Jeff Offutt, Towards Mutation Analysis
of Android Apps, 10th International Workshop on Mutation Analysis (Mutation 2015),
April 2015.

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Guoxian Yu, Guoji Zhang, Zili Zhang, Zhiwen Yu, and Lin Deng, Semi-supervised Classification
Based on Subspace Sparse Representation, Knowledge and Information Systems, Vol. 43,
No. 1, pp. 81-101, 2015.

Marcio Delamaro, Lin Deng, Nan Li, Vinicius Durelli and Jeff Offutt, Experimental
Evaluation of SDL and One-Op Mutation for C, 7th IEEE International Conference on
Software Testing, Verification and Validation (ICST2014), March 2014.

Nan Li, Xin Meng, Jeff Offutt, and Lin Deng, Experience Report: Is Bytecode Instrumentation
as Good as Source Code Instrumentation: An Empirical Study With Industrial Tools,
24th IEEE International Symposium on Software Reliability Engineering (ISSRE2013),
November 2013.

Lin Deng, Jeff Offutt, and Nan Li, Empirical Evaluation of the Statement Deletion
Mutation Operator, 6th IEEE International Conference on Software Testing, Verification
and Validation (ICST2013), March 2013.

Weifeng Xu, Lin Deng, Qing Zheng, and Stephen Frezza, Constructing 3D Surface Models
for Building Cushion Seats Using Stereo Visions, IEEE Potentials, Vol. 31, Issue 2,
pp. 31-37, April 2012.

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