Mobile testing is becoming an urgent and important research subject due to the explosive increase of mobile app downloads and mobile users. Now, location-based function services in mobile apps not only enhance mobile user experience, but also bring new challenges and issues in software testing. This paper focuses on location-based testing issues for mobile apps, and proposes a new testing model and method to address these needs. An application example for a popular location-based mobile app (Waze) and its case study results are reported based on SJSU Engineering Dpt. students' mobile testing project experience.Index Terms-Mobile app, Mobile computing, Location-based test model, Software testing.
Fault tolerance is a key research area for many of applications such as those based on sensor network technologies. In a large scale wireless sensor network (WSN), it becomes important to find new methods for fault-tolerance that can meet new application requirements like Internet of things, urbane intelligence and observation systems. The challenge is beyond the limit of a single wireless sensor network and concerns multiple widely interconnected sub networks. The domain of fault grows considerably because of this new configuration. In this context, the paper proposes a fault fuzzy-ontology (FFO) for large scale WSNs to be used within a Web service architecture for diagnosis and testing.
Abstract-Location-based services (LBS) are very important mobile app services, which provide diverse mobility services for mobile users anywhere and anytime. This brings new demands, issues, and challenges in mobile application testing. Today, mobile applications provide location-based service functions based on dynamic location contexts, mobile users and their travel patterns to deliver location-based mobile data, and service actions. Current software testing methods do not consider location-based validation coverage. Hence, there is a lack of research results addressing location-based mobile application testing. This paper focuses on mobile LBS testing. A novel test object model is proposed for quality validation of location-based mobile information services. In addition, the related test coverage metrics are also presented. These metrics can be useful for test engineers in designing test cases. A case study based on student testers is reported to demonstrate the potential application of the proposed model.
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