Empirical study of Android test generation tools on an industrial app

Given the ever increasing number of research tools to automatically generate inputs to test Android applications (or simply apps), researchers recently asked the question “Are we there yet?” (in terms of the practicality of the tools). In particular, researchers conduct an empirical study on existing testing techniques and tools on open-source Android apps. In this thesis, we present two significant extensions of that study. First, we conduct the first industrial case study of applying existing available testing tools against WeChat, a popular messenger app with over 800 million monthly active users. Second, we study the characteristics of covered activities achieved by testing tools to show which tools can be used in combination with other tools to achieve an optimal activity coverage. We also study the reasons why some activities are covered by only a particular testing tool to help app or tool developers improve their testing tools. Furthermore, we manually categorize not-covered activities to provide insightful information about the not-covered code entities. Such categorization will motivate app developers to spend additional resources during their testing efforts to cover such activities.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2017

Author dc:creator

• Li, Dengfeng

Contributors dc:contributor

• Xie, Tao

• Android
• Mobile testing

Statement dc:rights

• Copyright 2017 Dengfeng Li

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/97779

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/97779