Abstract
In developing information systems conceptual models are used for varied purposes. Since the modeling process is characterized by interpretation and abstracting the situation at hand it is essential to enclose information about the design process the modelers went through. This aspect is often discarded. But the lack of this information hinders the reuse of past knowledge for later, similar problems encountered and supports the repeat of failures.
The design rationale approaches, discussed in the software engineering community since the 1990s, seem to be an effective means to solve these problems. But the semiformal style of the rationale models challenges the retrieval of the relevant information. The paper explores an approach for classifying issues by its responding alternatives as an access to the complex rationale documentation.
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Lehrmann, S., Esswein, W. (2008). Rationale Models for Conceptual Modeling. In: Preisach, C., Burkhardt, H., Schmidt-Thieme, L., Decker, R. (eds) Data Analysis, Machine Learning and Applications. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78246-9_19
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DOI: https://doi.org/10.1007/978-3-540-78246-9_19
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