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.
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References
Jung, K.S.: The prospect of Smart TV service. Inf. Commun. Mag. 28(3), 3–7 (2011)
Zein, S., Salleh, N., Grundy, J.: A systematic mapping study of mobile application testing techniques. J. Syst. Softw. 117(C), 334–356 (2016)
Sahinoglu, M., Incki, K., Aktas, M.S.: Mobile application verification: a systematic mapping study, pp. 147–163. Springer, Heidelberg (2015)
Amalfitano, D., Fasolino, A.R., Tramontana, P., Robbins, B.: Chapter 1 - testing android mobile applications: challenges, strategies, and approaches. In: Advances in Computers, vol. 89, pp. 1–52. Elsevier (2013)
Banerjee, I., Nguyen, B., Garousi, V., Memon, A.: Graphical user interface (GUI) testing: systematic mapping and repository. Inf. Softw. Technol. 55(10), 1679–1694 (2013)
Li, Y.-F., Das, P.K., Dowe, D.L.: Two decades of web application testing-a survey of recent advances. Infor. Syst. 43(C), 20–54 (2014)
Amalfitano, D., Fasolino, A.R., Tramontana, P., Ta, B.D., Memon, A.M.: Mobiguitar: automated model-based testing of mobile apps. IEEE Softw. 32(5), 53–59 (2015)
Nguyen, B.N., Robbins, B., Banerjee, I., Memon, A.: Guitar: an innovative tool for automated testing of GUI-driven software. Autom. Softw. Eng. 21(1), 65–105 (2014)
Cui, K., Zhou, K., Song, H., Li, M.: Automated software testing based on hierarchical state transition matrix for Smart TV. IEEE Access 5, 6492–6501 (2017)
Ingrosso, A., Volpi, V., Opromolla, A., Sciarretta, E., Medaglia, C.M.: UX and usability on Smart TV: a case study on a T-commerce application, pp. 312–323. Springer, Cham (2015)
Sabina, K.C.: Defining a testing platform for Smart TV applications. Bachelor thesis, Helsinki Metropolia University of Applied Sciences, January 2016
Bluttman, K., Cottrell, L.M.: UX and usability on Smart TV: a case study on a T-commerce application. McGraw Hill Professional, Cham (2012)
Murgrabia, M.: Design considerations for Vewd app store applications (2017). Accessed 5 Dec 2017
Deng, L., Offutt, J., Ammann, P., Mirzaei, N.: Mutation operators for testing android apps. Inf. Softw. Technol. 81(C), 154–168 (2017)
Moran, K., Tufano, M., Bernal-Cardenas, C., Linares-Vasquez, M., Bavota, G., Vendome, C., Di Penta, M., Poshyvanyk, D.: Mdroid+: a mutation testing framework for android. In: 40th International Conference on Software Engineering (ICSE) (2018)
Ma, Y.-S., Offutt, J., Kwon, Y.R.: MuJava: an automated class mutation system: research articles. Softw. Test. Verif. Reliab. 15(2), 97–133 (2005)
Barr, E.T., Harman, M., McMinn, P., Shahbaz, M., Yoo, S.: The oracle problem in software testing: a survey. IEEE Trans. Softw. Eng. 41(5), 507–525 (2015)
Acknowledgment
This research is conducted as a part of the project TACR TH02010296 Quality Assurance System for Internet of Things Technology.
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Ahmed, B.S., Bures, M. (2019). Testing of Smart TV Applications: Key Ingredients, Challenges and Proposed Solutions. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 880. Springer, Cham. https://doi.org/10.1007/978-3-030-02686-8_20
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