Spotlight on Summer Research Scholars

Abdelrahman AboEitta ’23, CS Major
Abdel developed the latest version of ChemTutor (https://chemtutor.wlu.edu/), an online tutorial to help prepare students for college-level chemistry.  ChemTutor was developed by faculty and students at 4 small, liberal arts institutions and is funded by the Associated Colleges of the South.  Beyond developing new functionality for instructors, Abdel used Docker to deploy ChemTutor on Amazon Web Services so that it is easier for other institutions to deploy.

Sujana Basnet, ’23, CS Major
Irina Koleva, ’22, Neuroscience Major
Sujana and Irina completed a survey of academic research on video game experience categories, designed and conducted a user study to collect data based on the survey, and ran statistical analysis of the user study data. Also, they began work on an academic paper to be submitted to an appropriate venue in the Fall.

William Xue ’24
Will’s project name was:  Cloudsweeper: A Tool for Personal Cloud Management. The personal cloud is a convenient and affordable way to retain and share files over time. However, as time passes, some files lose their relevance. Crucially, some files that are no longer useful may still contain sensitive information, creating risks due to data breaches, lost devices, and account takeovers.  During the Summer of 2021, Will used his Python and web design skills to work both on the front and backend of the design of Cloudsweeper, a web application which incorporates machine learning to highlight potentially sensitive and useless files in individuals’ cloud accounts. The current version is live at: https://cloudsweeper.app.  Currently, the app only supports the Google Drive cloud platform. Will plans to continue work with the team to integrate the app with support across multiple cloud platforms and conduct future research studies by using the app as a data collection tool.

Billy Tobin ’24
Billy’s project name was : An Empirical Evaluation of Method Signature Similarity in Codebases.  Modern programming languages have revolutionized the way in which software developers design and develop computer programs. These languages provide individuals with user-friendly capabilities that enhance the productivity of developers while ensuring minimal code redundancy. One such feature of programming languages is method overloading.Billy spent the summer of 2021 empirically evaluating the pervasiveness of overloaded methods in large-scale repositories understanding their relationship over time, as repositories grow. Based on the initial results, Billy plans to extend his work to understand the usability aspects of overloaded methods and determine where they may have correctness, security, performance, and complexity implications.