测试迁移,有效地大规模评估移动应用程序编码任务

Farnaz Behrang, A. Orso
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引用次数: 24

摘要

近年来,人们对利用互联网技术广泛普及教育越来越感兴趣。无论是大规模在线开放课程(MOOCs),还是通过在线平台向广大学生提供的简单大学课程,以教育为重点的公司和大学都在大力投资在线教育,而且往往彼此合作。成百上千的学生参加这些在线课程,这一事实给评估学生作业的可扩展性带来了挑战。在本文中,我们特别介绍了一种技术(GUITestMigrator),它解决了评估移动应用程序编码任务的挑战。给定一组实现相同规范的应用程序,但可能具有完全不同的用户界面,教师通常必须手动运行和检查每个应用程序,以确保它正确地按照规范运行。相反,GUITestMigrator允许为其中一个应用程序开发测试,并自动将这些测试迁移到其他应用程序,从而大大减轻了讲师的负担。我们为Android应用程序实现了GUITestMigrator,并在三组应用程序上对其进行了评估,这些应用程序是由在线研究生级软件工程课程的学生在三个不同的学期中开发的。我们的初步结果表明,我们的方法是有希望的,并激励着这一方向的进一步研究。本文还讨论了这种方法在实际应用程序的测试演变和测试迁移中的可能应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Test migration for efficient large-scale assessment of mobile app coding assignments
In recent years, there has been a growing interest in making education widely accessible using Internet technologies. Whether it is Massive Open Online Courses (MOOCs) or simply college courses offered to a large student population using an online platform, both education-focused companies and universities, often in collaboration with one another, have been investing massively in online education. The fact that hundreds, and more often thousands, of students take these online courses raises scalability challenges in assessing student assignments. In this paper, in particular, we present a technique (GUITestMigrator) that addresses the challenge of assessing mobile app coding assignments. Given a set of apps that implement the same specification, but can have completely different user interfaces, instructors normally have to manually run and check each app to make sure it behaves correctly and according to the specification. GUITestMigrator, conversely, allows for developing tests for one of these apps and automatically migrating these tests to the other apps, thus dramatically reducing the burden on the instructor. We implemented GUITestMigrator for Android apps and evaluated it on three sets of apps developed over three different semesters by students of an online graduate-level software engineering course. Our initial results show that our approach is promising and motivates further research in this direction. The paper also discusses possible applications of this approach for test evolution and test migration for real-world apps.
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