Testing of Smart TV applications: Key ingredients, challenges and proposed solutions
2019 (English)In: Proceedings of the Future Technologies Conference / [ed] Bhatia R., Arai K., Kapoor S, Springer, 2019, Vol. 880, p. 241-256Conference paper, Published paper (Refereed)
Abstract [en]
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. © Springer Nature Switzerland AG 2019.
Place, publisher, year, edition, pages
Springer, 2019. Vol. 880, p. 241-256
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357
Keywords [en]
Internet of Things (IoT), Model-based testing, Smart tv application testing, Software testing, Internet of things, Model checking, Application testing, Critical questions, Development environment, Internet of thing (IOT), Model based testing, Research communities, Software applications, Application programs
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-86828DOI: 10.1007/978-3-030-02686-8_20Scopus ID: 2-s2.0-85055901234OAI: oai:DiVA.org:kau-86828DiVA, id: diva2:1608309
Conference
Future Technologies Conference, FTC 2018 Vancouver, BC15 November 2018 through 16 November 2018
2021-11-032021-11-032021-11-25Bibliographically approved