Maurer, Florian
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The engineering of Information and Knowledge-Management Systems presents challenges due to changing environments and diverse stakeholder needs. Traditional requirement engineering approaches often result in dissatisfaction among stakeholders and users. To address this, agile methodologies have emerged as a solution, emphasizing responsiveness to stakeholder needs throughout system design and development. While agility in Information and Knowledge-Management Systems engineering is recognized, there remains a need to define agile requirements engineering processes. The aim of this article is to investigate into the research about what the concepts of agile requirements engineering for Information Systems are and how an agile requirement engineering process can look like. The findings are based on a systematic literature review. The insights derived from this article help to discern existing approaches in the literature, the most addressed themes or methods, and the suggestions proposed by authors along with the gaps that still need to be filled.
To create a map of an unknown area, autonomous robots must follow a strategy to explore the area without knowing the optimal paths to reduce the time needed to map the whole area. To reduce the time to accomplish this task, multiple robots can work together to create a map in a more efficient way. However, without proper coordination, the time a team of autonomous robots needs to explore the unknown area can exceed the time needed by a single robot. To counteract the challenges, a shared infrastructure is needed which extracts useful information for the individual robots out of the shared information of all robots so the exploration can be coordinated. These measures introduce new challenges to the system, concerning the load of the communication infrastructure as well as the overall task of exploring and mapping becoming dependent on the correct communication and robustness of the shared team infrastructure. Therefore, the amount of communication and dependency of each individual robot of the rest of the other robots of the team must be reduced to ensure that the robots can continue working even if the communication with the shared infrastructure fails.
