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Publications for: Byron Williams
Peer-Reviewed Journals
Deo, A., Codabux, Z., Sultana, K., & Williams, B. (2016). Assessing Software Defects Using Nano-Patterns Detection. International Journal of Computers and Their Applications (IJCA). 4(1), 1.

Peer-Reviewed Conference Papers
Sultana, K., Deo, A., & Williams, B. (2016). A Preliminary Study Examining Relationships between Nano-Patterns and Software Security Vulnerabilities. Proceedings of the 40th IEEE Computer Software and Applications Conference (COMPSAC 2016). Atlanta, GA.

Nadeem, M., Williams, B., Bradshaw, G. L., & Allen, E. (2016). Human Subject Evaluation of Computer-Security Training Recommender. Proceedings: 40th IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC). Atlanta, GA.

Bandi, A., Allen, E., & Williams, B. (2015). Assessing Code Decay: A Data Driven Approach. Proceedings of 24th International Conference on Software Engineering and Data Engineering (SEDE 2015). San Diego, CA.

Nadeem, M., Allen, E., & Williams, B. (2015). A Method for Recommending Computer-Security Training for Software Developers: Leveraging the Power of Static Analysis Techniques and Public Vulnerability Repositories. 12th International Conference on Information Technology: New Generations, ITNG. Las Vegas, NV.

Codabux, Z., Williams, B., & Niu, N. (2014). A Quality Assurance Approach to Technical Debt. 2014 International Conference on Software Engineering Research and Practice. Las Vegas, NV.

Bandi, A., Williams, B., & Allen, E. (2013). Empirical Evidence of Code Decay: A Systematic Mapping Study. Proceedings of 20th Working Conference on Reverse Engineering. Koblenz, Germany.

Bandi, A., Williams, B., & Allen, E. (2013). Monitoring and Diagnosing Architectural Violations Using a Business Rules Approach. Proceedings of IEEE International Conference on Research and Development Prospects on Engineering and Technology. Nagapattinam, India. 263-268.

Peer-Reviewed Conference Posters
Codabux, Z., & Williams, B. (2016). Technical Debt Prioritization Using Predictive Analytics. 38th International Conference on Software Engineering (ICSE). Austin, TX.

Nadeem, M., Haecker, F. P., Rice, B. R., Pilate, B., Williams, B., & Allen, E. (2016). Evaluating Effectiveness of Approaches to Counter SQL Injection Attacks. Proceedings of the IEEE SoutheastCon 2016. Norfolk, VA.

Technical Report
Bandi, A., Williams, B., & Allen, E. (2013). Empirical Evidence of Code Decay: A Systematic Mapping Study. Mississippi State University, Tech. Report. Mississippi State University: Mississippi State University. DOI:06152013.