Changes for page SCE Guide
Last modified by Bart Vastenhouw on 2022/08/15 15:27
From version 2.1
edited by Bart Vastenhouw
on 2022/07/06 10:28
on 2022/07/06 10:28
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To version 3.1
edited by Bart Vastenhouw
on 2022/08/15 15:24
on 2022/08/15 15:24
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... ... @@ -5,7 +5,7 @@ 5 5 The SCE method structures and guides the systematic creation, evaluation and documentation of technological designs that aim to provide social, cognitive and affective support to help humans in realizing their goals and values. The method combines different design approaches and techniques in order to establish a sound, theoretically and empirically grounded design solution. In contrast to a “waterfall procedure”, SCE allows for quick, incremental, and iterative generate-and-test cycles (e.g. agile development). In this process, researchers and developers are required to continuously specify, refine, and integrate different parts of the system (i.e. components). SCE supports the sharing and reusing of the evolving design knowledge by the heterogeneous, multi-disciplinary development community. Key is the generation, refinement, validation, maintenance, and reuse of coherent and concise design specifications. Such design specifications describe //both// what the technology should do //and// the underlying design rationale (the why and when). Three main segments are distinguished: (A) Foundation, (B) Specification, and (C) Evaluation (Below, we summarize the SCE method; for some short examples, see SCE Example). 6 6 7 7 8 -[[image:https://confluence.ewi.tudelft.nl/download/attachments/60260354/image2021-1-25_14-31-59.png?version=1&modificationDate=1611581519000&api=v2||height="250"]] 8 +[[image:https://confluence.ewi.tudelft.nl/download/attachments/60260354/image2021-1-25_14-31-59.png?version=1&modificationDate=1611581519000&api=v2||height="250"]][[image:SCE-image.png]] 9 9 10 10 **Figure**: Socio-Cognitive Engineering method (SCE) with three main components (Foundation, Specification and Evaluation) and the underlying or abstracted behavioral & declarative design knowledge (resp. design patterns and ontology). 11 11
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