Samuel Benton

Software Engineering Doctoral Candidate

Who Am I?

Hello, my name is Samuel Benton! I earned my B.S. in Software Engineering and B.S. in Computer Engineering in 2016 also from the University of Texas at Dallas. I am a currently Software Engineering doctoral candidate attending the University of Texas at Dallas under the supervision of Dr. Lingming Zhang.

Software Engineering Research Topics

My current research area focuses on software testing, particularly improving various areas of software repair. Recent research topics and interests include:

  • automated program repair
  • software safety
  • software security
  • machine learning
  • software maintenance

**If you are a Multimedia Fusion user or Clickteam Fusion user, you can find an archive of my old MMF2 / Fusion tutorials elsewhere on this domain at

Practical Program Repair via Bytecode Mutation

This paper introduces PraPR, a new automated program repair technique based on the existing PIT mutation testing tool. The technique performs program modifications at the bytecode level, ultimately allowing construction of more program variants faster while simultaneously decreasing variant test time. At publication, PraPR found 43 genuine repair patches for 395 bugs from the Defects4J v1.20 dataset.

Conference: International Symposium of Software Testing and Analysis (2019)

Paper Link:,

Github Link:

Defexts: A Curated Dataset of Reproducible Real-World Bugs for Modern JVM Languages

This paper introduces Defexts, a family of bug datasets extracted from real-world projects hosted on Github. Defexts’ goal is to help promote research in less commonly used JVM languages, such as Kotlin and Scala, through the distribution of new bug datasets focused in these JVM languages. At publication Defexts contained two datasets, Defexts-Kotlin and Defexts-Groovy, and now includes Defexts-Scala. We are currently working to improve the dataset to allow for easier access by end-users.

Conference: International Conference of Software Engineering (2019)

Paper Link:

Github Link:

On the Effectiveness of Unified Debugging: An Extensive Study on 16 Program Repair Systems

This paper extends the idea of unified debugging, the idea of using program repair execution results to further improve fault localization and consequent repair attempts, to 15 other Java-based automatic repair tools. The paper contributes five new findings to the area of unified debugging, describes two new techniques, and releases the experimental raw data for interested parties to view.

Conference: International Conference of Automated Software Engineering (2020)

Paper Link:

Github Link:


Years in Software Engineering


Completed Research Projects 


Conference Publications

Contact Me

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Last updated: June 6th, 2020