Abstract

lication that combines crowdsourcing and gamification elements should be usable by as many passengers as possible, considering all the different smartphones available on the market and people with disabilities. Thus, most popular platforms for cross-platform mobile application development should be compared in order to choose the appropriate one for this project. Finally, application prototype should be further tested to gather more feedback about design and concept for improvements and future studies.  Such solution is not meant to replace current methods of information gathering, but instead should be one of the available tools.

Abstract

Software testing is becoming more prominent within the automotive industry due to more complex systems, and functions are implemented in the vehicles. The vehicles in the future will have the functionality to manage different levels of automation, which also means that vehicles driven by humans will have more supportive functionality to increase safety and avoid accidents. These functionalities result in a massive growth in the number of test scenarios to indicate that the vehicles are safe, and this makes it impossible to continue performing the tests in the same way as it has been done until today. The new conditions require that the test scenarios and Test Cases both be generated and executed automatically. In this thesis, an investigation and evaluation are performed to analyze the Automatic Test Case Generation methods available for inputs from Natural Language Requirements in an automotive industrial context at NEVS AB. This study aims to evaluate the NAT2TEST strategy by replacing the manual method and obtain a similar or better result. A comparative analysis is performed between the manual and automated approaches for various levels of requirements. The results show that utilizing this strategy in an industrial scenario can improve efficiency if the requirements to be tested are for well-documented lower-level requirements.