  Smart TV applications are software applications that have been designed to
run on smart TVs which are televisions with integrated Internet features.
Nowadays, the smart TVs are going to dominate the television market, and the
number of connected TVs is growing exponentially. This growth is accompanied by
the increase of consumers and the use of smart TV applications that drive these
devices. Due to the increasing demand for smart TV applications especially with
the rise of the Internet of Things (IoT) services, it is essential to building
an application with a certain level of quality. Despite the analogy between the
smart TV and mobile apps, testing smart TV applications is different in many
aspects due to the different nature of user interaction and development
environment. To develop the field and formulate the concepts of smart TV
application testing, this paper aims to provide the essential ingredients,
solutions, answers to the most critical questions, and open problems. In
addition, we offer initial results and proof of concepts for a creeper
algorithm to detect essential views of the applications. This paper serves as
an effort to report the key ingredients and challenges of the smart TV
application testing systematically to the research community.
