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The vision of on-demand architectural knowledge systems as a decision-making companion

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2025

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Gesellschaft für Informatik, Bonn

Zusammenfassung

In this paper, we provide the vision of on-demand architectural knowledge systems (ODAKS) and research challenges for software architecture knowledge management. We argue that there are many issues in the management of architectural knowledge, which cannot be handled properly by the current architectural knowledge management systems (AKS). Furthermore, we discuss in detail the issues of human decision making which need to be taken into account by AKS. Based on literature review, analysis and synthesis of past research works from both areas, we derive our vision of ODAKS as decision making companion to the architect. ODAKS organize and provide relevant information and knowledge to the architect, but also provide an assistive conversation to assist decision making. ODAKS use probing to understand the architects’ goals and their questions, they suggest relevant knowledge and present reflective hints to mitigate human decision making issues, such as cognitive bias, cognitive limitations, as well as of design process aspects, such as problem solution co-evolution and the balance between intuitive and rational decision making. We present validated technologies and technologies under research that could be used in ODAKS’ implementation. We conclude with the main challenges for research on ODAKS.

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Razavian, Maryam; Paech, Barbara; Tang, Antony (2025): The vision of on-demand architectural knowledge systems as a decision-making companion. Software Engineering 2025. DOI: 10.18420/se2025-05. Gesellschaft für Informatik, Bonn. ISSN: 2944-7682. EISSN: 2944-7682

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