Patterns boosting adaptivity in ACM

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Abstract

Adaptivity is the ability to adjust behavior to changes in context. In enterprise ACM, the need for control, uniformity, and analysis meet end-user's needs to adapt to situations at hand. The interplay of different layers of declaratively defined templates can meet these needs in a flexible and sustainable manner. A data centric architecture with a library of process snippets building on standard activities and actions and a model of the organization with roles, provides an operational quality system. By combining this with a standardized declarative modeling of the case objects with codes and soft typing, we achieve a flexible platform for domain specific enterprise ACM systems. The result is a case- and goal-driven approach to adaptivity in ACM, taking into account knowledge workers' autonomy and the information context of the work. This paper discusses means of achieving adaptivity in ACM solutions and presents examples of practical realization by these means. © 2013 Springer-Verlag.

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APA

Sem, H. F., Pettersen, T. B., Carlsen, S., & Coll, G. J. (2013). Patterns boosting adaptivity in ACM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8186 LNCS, pp. 102–111). https://doi.org/10.1007/978-3-642-41033-8_17

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