Designing a Requirements Elicitation Approach for Intelligent and Interactive Systems in Autonomous Vehicles
Abstract: Software is becoming an increasingly large part in the automotive industry. Fromvehicles being connected to each other through networks to artificially intelligentalgorithms that aid people while driving, software is quickly becoming an essentialpart of the vehicle and it will only keep growing as we steer into the age of autonomousdriving. Because of this, a thorough requirements specification is neededin order to understand what drivers need from the intelligent systems in their vehicles,but also what system needs have to be fulfilled for the vehicles to reach its fullpotential. There is not enough research about how requirements can be elicited inthe context of intelligent and interactive systems in autonomous vehicles. In addition,there is no proof that traditional requirements elicitation techniques work forthese types of systems. The aim of this thesis is to investigate the issues and challengesof traditional requirements elicitation techniques in the context of intelligentand interactive systems in autonomous vehicles and based on the results, proposean approach for eliciting requirements. In order to achieve this, we performed threeiterations using the Design Science Research (DSR) methodology. In each iteration,we started with discovering the problems that we are facing right now. Then, weproduced an artifact that would address those issues and finally, we would evaluateour artifact. Using this approach helped us propose a requirements elicitationapproach consisting of a process model for innovative concepts and a requirementselicitation tool.
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