Reducing Requirement Perception Gaps through Coordination Mechanisms in Software Development Team

Users and IS development staff often have different interpretations and understandings on software requirements because of the difference in knowledge, experiences and values. Jiang et al (2002) argue that this perception difference must be well managed to lead to the new understanding of requirements. This study tries to solve this question by examining the impact of coordination mechanisms on the requirement perception differences. Coordination theory and collective mind theory are used to explain the cognitive process underlying these coordination strategies, which enable the development of shared understandings on requirement development

Towards adaptive multi-robot systems: self-organization and self-adaptation

Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.The development of complex systems ensembles that operate in uncertain environments is a major challenge. The reason for this is that system designers are not able to fully specify the system during specification and development and before it is being deployed. Natural swarm systems enjoy similar characteristics, yet, being self-adaptive and being able to self-organize, these systems show beneficial emergent behaviour. Similar concepts can be extremely helpful for artificial systems, especially when it comes to multi-robot scenarios, which require such solution in order to be applicable to highly uncertain real world application. In this article, we present a comprehensive overview over state-of-the-art solutions in emergent systems, self-organization, self-adaptation, and robotics. We discuss these approaches in the light of a framework for multi-robot systems and identify similarities, differences missing links and open gaps that have to be addressed in order to make this framework possible

Demographic Data for Development Decisionmaking: Case Studies From Ethiopia and Uganda

Analyzes the lack of demographic and socioeconomic data, limited access to and use of existing data, and insufficient demand for their application in policy making and resource allocation. Makes recommendations for greater access, demand, and use of data