Conducted a study examining the effects of a programmer’s emotional awareness on bug fix progress. Biometric information via eye-tracking, facial emotion, and Electrodermal Activity (EDA) were analyzed using a series of Python and R scripts.
Conducted a study examining the effects of software engineering roles using an eye tracker to determine whether there is an effect on how programmers review code.
Developer of iTrace, an eye tracking software infrastructure for research studies in the software engineering domain at UNL. Implemented features based on the expanding scope of research projects, including modifying code bases of each component in C#, Java, Javascript, etc.
Conducted a novel case study comparing the results of 5 different sentiment analysis tools (SentiStrength, SentiStrength-SE, SentiCR, NLTK, and Stanford-NLP) using a subset of the GHTorrent dataset of 46 million pull requests as well as documenting the progress in doing so while using a series of SQL, R, Python, and Bash scripts.