Monitoring software developer's interactions in an integrated development environment is sought for revealing new information about developers and developed software. In this paper we present an approach for identifying potential source code dependencies solely from interaction data. We identify three kinds of potential dependencies and additionally assign them to developer's activity as well, to reveal detailed task-related connections in the source code. Interaction data as a source allow us to identify these candidates for dependencies even for dynamically typed programming languages, or across multiple languages in the source code. After first evaluations and positive results we continue with collecting data in professional environment of Web developers, and evaluating our approach.

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.