{"title":"Studying Developer Build Issues and Debugger Usage via Timeline Analysis in Visual Studio IDE","authors":"Christopher Bellman, Ahmad Seet, Olga Baysal","doi":"10.1145/3196398.3196463","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6639,"journal":{"name":"2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)","volume":"24 1","pages":"106-109"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3196398.3196463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
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.
每天,大多数软件开发人员都使用开发工具来编写、构建和维护他们的代码。这些工具中最关键的是集成开发环境(IDE),开发人员在其中创建和构建代码。因此,了解开发人员如何执行他们的工作以及每个操作对他们的工作流有什么影响以进一步提高他们的生产力是很重要的。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一些主题。首先,我们提出了一种方法,用于开发我们称为“时间线”的方法,该方法按时间顺序映射单个开发会话,并从中研究构建失败、代码调试器的使用情况,并且我们提出了一个度量开发人员吞吐量的度量标准。我们发现,时间轴分析可能被证明是开发人员自我评估的宝贵工具,也是发现与构建失败有关的问题区域的关键。此外,我们发现开发人员花费大量时间调试他们的代码,利用诸如断点之类的特性来解决问题。最后,我们看到开发人员指标可以用于自我评估,为开发人员在给定会话中提出的工作量提供价值。