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Titlebook: Information Systems Engineering in Responsible Information Systems; CAiSE Forum 2019, Ro Cinzia Cappiello,Marcela Ruiz Conference proceedin

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樓主: Malicious
51#
發(fā)表于 2025-3-30 09:05:15 | 只看該作者
52#
發(fā)表于 2025-3-30 15:43:53 | 只看該作者
Blurring Boundaries,gineering processes assume exists in some form. Many progressive software product companies today are empowering cross-functional product teams to ‘own’ their product – to collectively understand the product context, the true product needs, and manage its on-going evolution – rather than develop to
53#
發(fā)表于 2025-3-30 20:29:54 | 只看該作者
54#
發(fā)表于 2025-3-30 23:50:32 | 只看該作者
A Data Streams Processing Platform for Matching Information Demand and Data Supply,tion. The BaSeCaaS platform described in this demo paper provides data streaming and adaptation services to the data driven applications. The main features of the platform are separation of information requirements from data supply, model-driven configuration of data streaming services and horizonta
55#
發(fā)表于 2025-3-31 01:21:39 | 只看該作者
56#
發(fā)表于 2025-3-31 06:50:51 | 只看該作者
57#
發(fā)表于 2025-3-31 12:00:02 | 只看該作者
Detection and Resolution of Data-Flow Differences in Business Process Models,ss processes. After its initial creation, a process model is very often refined, by different business modelers and software architects in distributed environments, in order to reflect changed requirements or changed business rules. At some point, the different resulting process model versions need
58#
發(fā)表于 2025-3-31 14:54:22 | 只看該作者
59#
發(fā)表于 2025-3-31 20:40:44 | 只看該作者
Using Conceptual Modeling to Support Machine Learning,from large collections of data. However, challenges remain for using machine learning effectively. We propose that some of these can be overcome using conceptual modeling. We examine a popular cross-industry standard process for data mining, commonly known as CRISP-DM Directions, and show the potent
60#
發(fā)表于 2025-3-31 22:22:19 | 只看該作者
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