A Framework for Regression Testing of Outdoor Mobile Applications

Carlo Bernaschina, Roman Fedorov, Darian Frajberg, P. Fraternali
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引用次数: 4

Abstract

Outdoor mobile applications are becoming popular in fields such as gaming, tourism and environment monitoring. They rely on the input of multiple, possibly noisy, sensors, such as the camera, GPS, compass and gyroscope. The regression testing of such applications requires the reproduction of the real conditions in which the application works, which are hard to reproduce without automated support. We present a capture replay framework that automates regression testing of mobile outdoor applications, by recording data streams in real-time on the field from multiple sensors, replays them in lab and computes quality metrics to trace regression errors.
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户外移动应用的回归测试框架
户外移动应用在游戏、旅游和环境监测等领域越来越受欢迎。它们依赖于多个可能有噪声的传感器的输入,比如摄像头、GPS、指南针和陀螺仪。此类应用程序的回归测试需要再现应用程序工作的真实条件,如果没有自动化支持,这些条件很难再现。我们提出了一个捕获重放框架,通过在现场实时记录来自多个传感器的数据流,在实验室中重放数据,并计算质量指标来跟踪回归错误,从而自动化移动户外应用的回归测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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