# Testing of Smart TV Applications: Key Ingredients, Challenges and Proposed Solutions

## TL;DR

This paper reviews the key challenges and solutions in testing smart TV applications, highlighting unique aspects of testing due to user interaction differences and proposing initial algorithms for view detection.

## Contribution

It systematically identifies key ingredients and challenges in smart TV application testing and introduces initial proof-of-concept solutions like a creeper algorithm for view detection.

## Key findings

- Identified critical challenges in smart TV app testing.
- Proposed initial solutions including a creeper algorithm.
- Provided proof of concept for view detection algorithm.

## Abstract

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.