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Studying Developer Build Issues and Debugger Usage via Timeline Analysis in Visual Studio IDE

机译:通过Visual Studio IDE中的时间线分析研究开发人员构建问题和调试器使用情况

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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.
机译:每天,大多数软件开发人员都会使用开发工具来编写,构建和维护他们的代码。这种工具中最关键的是集成开发环境(IDE),开发人员可以在其中创建和构建代码。因此,重要的是要了解开发人员如何执行他们的工作以及每个动作对他们的工作流程有什么影响,以进一步提高他们的生产力。在这项工作中,我们研究了Microsoft Visual Studio IDE中开发人员交互的KaVE数据集,并分析了从数据中提取的许多主题。首先,我们提出了一种开发所谓的“时间线”的方法,该方法按时间顺序映射了单个开发会话,然后,我们研究了构建失败,代码调试器的使用情况,并提出了一种度量开发人员吞吐量的度量。我们发现,时间线分析可能是开发人员自我评估的宝贵工具,并且是发现有关构建失败的问题区域的关键。此外,我们发现开发人员花费大量时间调试代码,利用诸如断点之类的功能来解决问题。最后,我们看到开发人员指标可用于自我评估,从而赋予开发人员在给定会话中付出的努力价值。

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