Pravaaha:挖掘Android应用程序以发现API调用使用模式和趋势

Y. Lamba, Manisha Khattar, A. Sureka
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引用次数: 21

摘要

软件库和框架由一组类和接口定义组成,通过提供方法、api、组件(通用功能)和支持结构,为开发人员构建应用程序、产品和解决方案提供了一种代码重用机制。KitKat, Jelly Bean, Ice Cream Sandwich, Honeycomb和Gingerbread是世界上最流行的移动平台之一Android的不同版本(开源)。在本文中,我们展示了我们对Android应用程序的大规模(包括1120个开源应用程序和1740万行代码)API使用分析的结果。我们的工作动机是需要挖掘实际的Android API使用情况,频繁的API调用使用模式和趋势,以了解和生成关于开发者如何在其应用程序中使用移动平台的经验数据。提取流行的和经常调用的方法、API包和API调用使用模式对API生产者和API消费者都很有用。例如,API生产者可以查看API使用情况的定量数据,作为用户对各自API的相关性、可用性和适用性的反馈。我们进行了一系列的实验来分析Android平台API的使用情况(不同包的使用情况,方法的使用情况,跨类别的使用情况),并使用气泡图,雷达图,热图等图表来呈现我们的分析结果,以便有效地将结果可视化并提取可操作的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pravaaha: Mining Android Applications for Discovering API Call Usage Patterns and Trends
Software libraries and frameworks, consisting of a collection of Class and Interface definitions, provide a mechanism for code reuse by providing methods, APIs, components (generic functionality) and a support structure for developers to build applications, products and solutions. KitKat, Jelly Bean, Ice Cream Sandwich, Honeycomb and Gingerbread are different versions (open-source) of Android, one of the most popular mobile platforms in the world. In this paper, we present the results of our large-scale (consisting of 1, 120 open-source applications and 17.4 million lines of code) API usage analysis of Android applications. Our work is motivated by the need to mine actual Android API usage, frequent API call usage patterns and trends to understand and generate empirical data on how developers are using the mobile platform in their applications. Extracting popular and frequently-invoked methods, API packages and API call-usage patterns is useful to both the API Producers and API Consumers. For example, API Producers can view the quantitative data on API usage as a feedback from users on the relevance, usability and applicability of the respective APIs. We conduct a series of experiments on analysing the Android platform API usage (usage of different packages, usage of methods, usage across categories) and present the results of our analysis using graphs such as Bubble Chart, Radar Chart, Heat-Map for effective visualization of the results and for extraction of actionable information.
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