Anthony S. Peruma

Anthony S. Peruma is an Assistant Professor in the Department of Information and Computer Sciences at the University of Hawai'i at Mānoa, where he leads the Intelligent Software Quality Assurance Research & Engineering Laboratory. His academic career combines extensive industry experience with rigorous research in software engineering.

Dr. Peruma's educational background includes:

• Ph.D. in Computing and Information Sciences from Rochester Institute of Technology
• Master's in Software Engineering from Rochester Institute of Technology
• Bachelor of Computer Applications from Bangalore University, India

His primary research focuses on software code quality and program comprehension, with particular emphasis on developing tools and techniques to improve the developer experience in implementing and maintaining secure, high-quality software systems. Dr. Peruma has made significant contributions to understanding identifier naming practices, software refactoring, and test code quality, with his work frequently appearing in top-tier software engineering venues.

Dr. Peruma's recent publications reveal a strong focus on program comprehension challenges in scientific programming, identifier naming quality, and the application of modern techniques like large language models to software engineering problems. His research spans empirical studies of developer practices, tool development for code quality assessment, and investigations into software maintenance challenges across various domains including mobile applications and scientific computing.

Among his notable achievements are multiple best paper awards, including recognition at ICPC, ICSME, and MSR conferences. His work on 'Refactoring Debt: Myth or Reality?' received both Best Paper Award and Best Student Presentation at MSR 2022, while his research on assertion messages in test code earned the IEEE TCSE Distinguished Paper Award at ICSME 2024.

Dr. Peruma actively contributes to the software engineering community through program committee service and journal reviewing. His industry experience as Software Architect, Technology Lead, and Software Engineer at Virtusa Corporation provides practical grounding for his academic research, creating a valuable bridge between theoretical advances and real-world software development challenges.

He leads the Intelligent Software Quality Assurance Research & Engineering Laboratory at UH Mānoa, where his team develops innovative approaches to software quality assessment and improvement, with particular attention to developer experience and practical applicability of research findings.