Studying developer build issues and debugger usage via timeline analysis in visual studio IDE

Every day, most software developers use development tools to write, build, and maintain their code. The most crucial of such tools is the integrated development environment (IDE), in which developers create and build code. Therefore, it is important to understand how developers perform their work and what impact each action has on their workflow to further enhance their productivity. In this work, we study the KaVE dataset of developer interactions within the Microsoft Visual Studio IDE and analyze a number of topics extracted from the data. First, we propose a method for developing what we call "timelines" that chronologically map an individual development session, and from this, we study build failures, code debugger usage, and we propose a metric for measuring developer throughput. We find that the timeline analysis may prove to be an invaluable tool for developer self-assessment and key to uncovering problem areas regarding build failures. Moreover, we find that developers spend a significant amount of time debugging their code, utilizing features such as breakpoints to resolve issues. Finally, we see that the developer metric can be used for self assessment, giving value to the amount of effort, put forth by a developer, in a given session