Anthony Peruma is an Assistant Professor in the Information and Computer Sciences Department at the University of Hawai‘i at Mānoa. Anthony holds a Ph.D. in Computing and Information Sciences, a Master’s in Software Engineering from Rochester Institute of Technology, and a Bachelor’s in Computer Application from Bangalore University, India.
As a member of the Source Code Analysis and Natural Language Lab, Anthony’s research is around program comprehension. More specifically, Anthony studies identifier names in the source code by investigating how and why identifier names change (or evolve) in the source code. Anthony’s research aims to improve developer productivity by constructing a linguistic model to assist developers in identifying poor-quality identifier names and recommending appropriate replacements.
Additionally, Anthony also possesses hands-on experience in the software development industry, working on software projects for clients in multiple industries. Anthony’s industry experience includes consulting, designing, implementation, project management, and sales.
Ph.D. in Computing and Information Sciences
Rochester Institute of Technology, New York, USA
Advisor: Christian D. Newman, PhD
In this project, through a series of studies, we aim to model the relationship between the name of an identifier and the behavior of the source code entity it represents.
This project seeks to extend the existing test smell catalog by adding new types of test smells. Additionally, we make available an open-source tool to detect the different smell types in the source code.
‘MILK’ modules are classroom ready educational components which teach students and developers how to create accessible mobile applications, and demonstrate the importance of creating these apps.