Designing mobile solutions for mobile workers is difficult because there is a lack of theories and methods. Based on recent literature of systems engineering, business engineering, information systems design, and project/process management, an analysis framework is presented that assesses the design approach of workforce solutions. An exploratory case based in the Netherlands was studied under the framework. The results indicate a need for a design approach that integrates "soft system thinking", collaborative business engineering activities, and process management strategy. The study provides a basis for further research to design mobile workforce solutions.

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Abstract. Service oriented systems need to be maintained to keep the requested level of service. This is challenge in large grid-and saas based networks that are managed by numerous entities. This paper is about supporting multi agent systems that operate in the network and support its management by learning actual structures from life observed logging data. We focus on a collaborative grammar induction mechanism in which agents share local models in order to retrieve a model of the structure of the total service network. We studied the performance of groups of agents while varying the size and degree of communication. We motivate the application of the mechanism in the domain of service oriented system and show the results of experiments using a distributed agent-based monitoring system. We promote further research in the overlapping scientific disciplines of multi agent systems and machine learning in the application domain of service oriented systems.