Toward an Objective Measure of Developers’ Cognitive Activities

Abstract

Understanding how developers carry out different computer science activities with objective measures can help to improve productivity and guide the use and development of supporting tools in software engineering. In this article, we present two controlled experiments involving 112 students to explore multiple computing activities (code comprehension, code review, and data structure manipulations) using three different objective measures including neuroimaging (functional near-infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI)) and eye tracking. By examining code review and prose review using fMRI, we find that the neural representations of programming languages vs. natural languages are distinct. We can classify which task a participant is undertaking based solely on brain activity, and those task distinctions are modulated by expertise. We leverage insights from the psychological notion of spatial ability to decode the neural representations of several fundamental data structures and their manipulations using fMRI, fNIRS, and eye tracking. We examine list, array, tree, and mental rotation tasks and find that data structure and spatial operations use the same focal regions of the brain but to different degrees: they are related but distinct neural tasks. We demonstrate best practices and describe the implication and tradeoffs between fMRI, fNIRS, eye tracking, and self-reporting for software engineering research.