Combining eye tracking with navigation paths for identification of cross-language code dependencies
Abstract
In recent years, fine-grained monitoring of software developers during software development and maintenance activities has increased in popularity, together with use of devices for eye tracking and recording developer’s biometric data. We look for everyday application of such data to support developers in their work. In this paper we discuss an approach to identify potential code dependencies in source code, even when written in different programming languages, by combining identification of areas-of-interest in source code using eye tracking with developer’s navigation paths. Our plan is to evaluate it with data of developers working on real development tasks.