In the recent years, there have seen the emerge of increasingly mobile applications due to the use of mobile devices and sensors. This imposes grave challenges to mobile engineers to ensure the quality of mobile testing due to the high costs and complexity for mobile testing. For example, these mobile applications are expected to run on diverse devices, platforms and mobile browsers. Today, cloud and mobile computing technologies offer new opportunities for providing cloud and mobile testing-as-a-service (TaaS). It is expected that revenue from mobile application testing tools will rise from $200 million in 2012 to $800 million by 2017 (ABI research). As a result, mobile cloud TaaS have been an active research area in the past years. This workshop is intended to provide a new platform for researchers and practitioners to exchange new ideas and share state-of-the-art research results and solutions in mobile cloud testing and TaaS.

We invite original submissions in mobile testing, cloud testing and mobile TaaS. The topics include, but are not limited to the following:
Testing mobile applications, SaaS, Web services
Testing Big Data applications
Testing Internet-of-Things and sensor-based applications
Testing location-based, context aware and mobile applications
Usability testing and verification
Security testing and verification
Platform and browser compatibility testing, and verification
Reliability and Quality of service testing
Cloud-based testing automation frameworks, environments, platforms, tools and test services
Mechanisms and solution to support mobile cloud testing as a service
Theory, methodology, technology and process models underlying mobile cloud testing as a service
Social, economical, legal, and professional issues of TaaS and testing mobile cloud applications
Case studies, experiences, practice reports and lessons learned
Test adequacy criteria and coverage
Test data generation, selection and prioritization
Regression testing and the evolution of mobile cloud applications
QoS management, measurement, metrics and evaluation