Gursimran Singh Walia, Ph.D
Professor and Associate Dean, School of Computer and Cyber Sciences, Augusta University; Augusta, GA
Affiliated Faculty and Professor of Computer Science, North Dakota State University, Fargo-ND
Short Biography
My research work is focused on developing and validating effective methods and tools for improving and measuring the quality of software artifacts. The goal of my research is to improve the quality and reliability of software through the use of Empirical Software Engineering. My approach to empirical software engineering involves conducting empirical studies to study and evaluate the methods and tools used by developers in different settings. My research effort shows an expertise in software quality improvement and empirical evaluation of SE practices, and extensive experience in designing and executing empirical studies. My research also analyzes human error research and empirical study design in developing software engineering techniques. I have worked with other researchers to inform the development and in design of the evaluation studies and provide expertise on analyzing data.
Research Interests:
Empirical software engineering,
Human and Software Errors
Software reviews
Software quality improvement
Software Metrics
Psychology in Software Engineering Machine Learning and NLP,
Software Reliability
Computer Science Pedagogy
Current Students
MS- Hiya Guha
Ph.D: Alex Radermacher; Avijeet Tomar; James Willenbring; Ishan Subedi; Tushar Aggarwal; Andrew Sanders.
Courses (taught)
Software Complexity Metrics
Software Requirements Definition and Analysis
Theoretical Computer Science
Software Project Planning and Estimation
Empirical Software Engineering
System Analysis and Design using UML
Graduate Seminar
Introduction to Software Engineering
News!
ISSRE 2022 Industry Paper Accepted! "Using Complexity Metrics with Hotspot Analysis to Support Software Sustainability"
CSEE&T 2022 Paper Accepted! "ScaffoldSQL: Using Parson’s Problems to Support Database Pedagogy"
ISSRE 2021 Industry Paper accepted! "Classification of Testable and Valuable User Stories by using Supervised Machine Learning Classifiers"
SIGCSE 2021 Paper Accepted! "A Comparison of Inquiry-Based Conceptual Feedback vs. Traditional Detailed Feedback Mechanisms in Software Testing Education”
