Klaidų paieškos mobilių įrenginių programinėje įrangoje metodo, taikant programos vykdymo laikines charakteristikas, kūrimas ir tyrimas ; The bugs search method for mobile devices software using code execution timing characteristics

The number of mobile phones applications is very big and it is increasing. Most of these applications are not successful in gaining users audience and are not used widely. Although these applications give the functionality that is needed by the user. These applications do not meet users’ needs, because they do not function as expected by the users and users are not able to use those applications. After analyzing testing methods of graphical user interface it has been noticed that one of the main problems is that most testing methods are very time-consuming. Big part of time is used when tests are created. Because of this reason it was decided to create testing method that would solve this problem. Then it was decided to create a tool using created graphical user interface functionality testing method for “Windows Phone 8.0” operating system. The main purpose of this work is to propose new testing method. This method needs to be adapted to mobile devices graphical user interface functionality testing. It also needs to solve time-consumption problem. This work contains the bugs search method for mobile devices software using code execution timing characteristics. Method is based on principle that when action does not get executed during specified time it is considered that test failed and bugs were found. This method is adapted to mobile devices and automated testing. The testing tool was created as add-on for “Microsoft Visual Studio” integrated development environment. The created bugs search method for mobile devices software using code execution timing characteristics effectiveness was proved by conducting an experimental study. During experimental study four programs were tested. These programs were created for “Windows Phone” operating system. After conducting experimental study results showed that time-consumption decreased by 7.6 times comparing with functional testing method. Also results showed that average mutants detection is 39.75%.