EvoDroid: segmented evolutionary testing of Android apps

Abstract

Proliferation of Android devices and apps has created a demand for applicable automated software testing techniques. Prior research has primarily focused on either unit or GUI testing of Android apps, but not their end-to-end system testing in a systematic manner. We present EvoDroid, an evolutionary approach for system testing of Android apps. EvoDroid overcomes a key shortcoming of using evolutionary techniques for system testing, i.e., the inability to pass on genetic makeup of good individuals in the search. To that end, EvoDroid combines two novel techniques: (1) an Android-specific program analysis technique that identifies the segments of the code amenable to be searched independently, and (2) an evolutionary algorithm that given information of such segments performs a stepwise search for test cases reaching deep into the code. Our experiments have corroborated EvoDroid's ability to achieve significantly higher code coverage than existing Android testing tools.

A Study on the Scope of Research Oriented Trends in Software Engineering

“…Past research centers around unit and GUI testing of Andiods applications. Today, EvoDroid [6] is a transformative approach for framework testing in Android applications. EvoDroid beats the deficiency for framework testing and Mahmood, et al [6] recommends joining two novel methods, Android particular program on distinguishing fragments of code to be sought freely and transformative calculation that gives data for such sections.…”

“…Today, EvoDroid [6] is a transformative approach for framework testing in Android applications. EvoDroid beats the deficiency for framework testing and Mahmood, et al [6] recommends joining two novel methods, Android particular program on distinguishing fragments of code to be sought freely and transformative calculation that gives data for such sections. Despite the fact that the approach [6] have appeared to effective hand existing tools and methods for mechanized testing in Android applications, it could corrupt due to unfit to efficiently reason about info conditions.…”

Redroid: A Regression Test Selection Approach for Android Applications

“…The behaviors of the tested Android app are explored by using different exploration strategies, including random exploration [5], [15], model-based exploration [6], [19], [8], or systematic exploration [16], [7].…”

“…Thus, developers are required to produce high quality mobile applications (or simply, "apps") in terms of portability, reliability and security. In recent years, a great deal of research has been performed to improve the reliability of mobile apps on mobile platform, for example, by applying automatic testing [5], [15], [6], [19], [8], [16], [7].…”

Medication Reminder and Healthcare – An Android Application

“…Examples of the kinds of information included in a manifest file are descriptions of the app's components among other architectural and configuration properties. Components can be one of the following types: Activities, Services, Broadcast Receivers, and Content Providers [10]. Figure 1 reflects the overview of the app.…”