Functionality and structure of the service broker in advanced service architectures. - Nicholas M. DeVito; Richard T. Emery; Kristin F. Kocan; William D. Roome; Byron J. Williams (Bell Labs Tech. J., 2005)

Change Risk Assessment: Understanding Risks Involved in Changing Software Requirements. - Byron J. Williams; Jeffrey C. Carver; Rayford B. Vaughn (Software Engineering Research and Practice, 2006)

Characterizing Software Architecture Changes: An Initial Study. - Byron J. Williams; Jeffrey C. Carver (ESEM, 2007)

Characterizing software architecture changes: A systematic review. - Byron J. Williams; Jeffrey C. Carver (Inf. Softw. Technol., 2010)

High false positive detection of security vulnerabilities: a case study. - Muhammad Nadeem; Byron J. Williams; Edward B. Allen (ACM Southeast Regional Conference, 2012)

Exception Handling Defects: An Empirical Study. - Puntitra Sawadpong; Edward B. Allen; Byron J. Williams (HASE, 2012)

Managing technical debt: an industrial case study. - Zadia Codabux; Byron J. Williams (MTD@ICSE, 2013)

Empirical evidence of code decay: A systematic mapping study. - Ajay Bandi; Byron J. Williams; Edward B. Allen (WCRE, 2013)

The Correspondence Between Software Quality Models and Technical Debt Estimation Approaches. - Isaac Griffith; Derek Reimanis; Clemente Izurieta; Zadia Codabux; Ajay Deo; Byron J. Williams (MTD@ICSME, 2014)

Computer Security Training Recommender for Developers. - Muhammad Nadeem; Edward B. Allen; Byron J. Williams (RecSys Posters, 2014)

Examination of the software architecture change characterization scheme using three empirical studies. - Byron J. Williams; Jeffrey C. Carver (Empir. Softw. Eng., 2014)

A Method for Recommending Computer-Security Training for Software Developers: Leveraging the Power of Static Analysis Techniques and Vulnerability Repositories. - Muhammad Nadeem; Edward B. Allen; Byron J. Williams (ITNG, 2015)

Human Subject Evaluation of Computer-Security Training Recommender. - Muhammad Nadeem; Byron J. Williams; Gary L. Bradshaw; Edward B. Allen (COMPSAC, 2016)

A Preliminary Study Examining Relationships Between Nano-Patterns and Software Security Vulnerabilities. - Kazi Zakia Sultana; Ajay Deo; Byron J. Williams (COMPSAC, 2016)

Technical debt prioritization using predictive analytics. - Zadia Codabux; Byron J. Williams (ICSE (Companion Volume), 2016)

Correlation Analysis among Java Nano-Patterns and Software Vulnerabilities. - Kazi Zakia Sultana; Ajay Deo; Byron J. Williams (HASE, 2017)

The Relationship between Traceable Code Patterns and Code Smells. - Zadia Codabux; Kazi Zakia Sultana; Byron J. Williams (SEKE, 2017)

The Relationship Between Code Smells and Traceable Patterns - Are They Measuring the Same Thing? - Zadia Codabux; Kazi Zakia Sultana; Byron J. Williams (Int. J. Softw. Eng. Knowl. Eng., 2017)

An empirical assessment of technical debt practices in industry. - Zadia Codabux; Byron J. Williams; Gary L. Bradshaw; Murray Cantor (J. Softw. Evol. Process., 2017)

A Comparison of Nano-Patterns vs. Software Metrics in Vulnerability Prediction. - Kazi Zakia Sultana; Byron J. Williams; Amiangshu Bosu (APSEC, 2018)

A study examining relationships between micro patterns and security vulnerabilities. - Kazi Zakia Sultana; Byron J. Williams; Tanmay Bhowmik (Softw. Qual. J., 2019)

Examining the Relationship of Code and Architectural Smells with Software Vulnerabilities. - Kazi Zakia Sultana; Zadia Codabux; Byron J. Williams (APSEC, 2020)

BigMAC: Fine-Grained Policy Analysis of Android Firmware. - Grant Hernandez; Dave (Jing) Tian; Anurag Swarnim Yadav; Byron J. Williams; Kevin R. B. Butler (USENIX Security Symposium, 2020)

A Software Vulnerability Prediction Model Using Traceable Code Patterns and Software Metrics. - Kazi Zakia Sultana; Charles B. Boyd; Byron J. Williams (SN Comput. Sci., 2023)