Redroid: A Regression Test Selection Approach for Android Applications

Regression Test Selection for Android

Intelligent Hybrid Approach for Android Malware Detection based on Permissions and API Calls

Android malware is rapidly becoming a potential threat to users. The number of Android malware is growing exponentially; they become significantly sophisticated and cause potential financial and information losses for users. Hence, there is a need for effective and efficient techniques to detect the Android malware applications. This paper proposes an intelligent hybrid approach for Android mal...

Automated Input Generator for Android Applications

Android applications have been tested without any knowledge about them using a variety of tools such as Monkey [2], Monkey Runner [3] etc. In this paper, we evaluate existing Android testing techniques by comparing each of these tools and evaluate their efficiency based on a number of factors. Next, we propose requirements of an ideal input generator and present an automated input generator usi...

A Model Guided Security Analysis Approach for Android Applications

Revealing security vulnerabilities is one of great challenges for the Android ecosystem. Static analysis is the usual approach of the security analysis for computer software. However, it is undirected and time-consuming for the common static analysis methods to analyze the entire Android application systematically from the main entry point. In order to adapt to the event-driven feature of Andro...

Test case selection for black-box regression testing of database applications

Context: This paper presents an approach for selecting regression test cases in the context of large-scale, database applications. We focus on a black-box (specification-based) approach, relying on classification tree models to model the input domain of the system under test (SUT), in order to obtain a more practical and scalable solution. We perform an industrial case study where the SUT is a ...