- 期刊
- OpenAccess
Automated Black-Box GUI Testing for Revealing System Bugs in Mobile Applications
並列摘要
As smartphones came to dominate mobile communications, mobile application world have advanced rapidly to address the mobile user needs, resulting with many applications that target these devices and filling app stores with an exponential rate. If these applications don't meet customer needs, i.e. if they are buggy, slow etc., they are bound to perished due to the intense competition among similar applications. This brings the need for thorough testing, particularly for graphical user interfaces. This paper aims to inspect how guided GUI testing is realized; specifically using model-based and model-learning methods. The main focus is to elucidate the shortcomings of current methods, such as automatically entering text inputs, deciding which action to trigger or creating test sequences. Such shortcomings are open to interpretation by artificial intelligence and machine learning techniques. By revealing aforementioned shortcomings this paper plans to raise new research questions in the area of software testing.