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Titlebook: Requirements Engineering in the Big Data Era; Second Asia Pacific Lin Liu,Mikio Aoyama Conference proceedings 2015 Springer-Verlag Berlin

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21#
發(fā)表于 2025-3-25 05:30:01 | 只看該作者
22#
發(fā)表于 2025-3-25 10:52:17 | 只看該作者
Model-Based Approach for Engineering Adaptive User Interface Requirements with an example scenario, which makes adaptations of the user interface at run-time by conforming to the context of users. Finally, an evaluation of our method is provided by a case study at the end of the paper.
23#
發(fā)表于 2025-3-25 14:52:47 | 只看該作者
A Framework for Data-Driven Automata Designdata and formal models. We first use some simple examples to clarify the general idea of ‘data-driven’ we propose. Then as a case study, we apply this idea to the requirement specification of a special type of systems—spatial-temporal systems by proposing a special formal model in order to capture the spatial-time features of them.
24#
發(fā)表于 2025-3-25 16:29:02 | 只看該作者
Extreme Requirements Engineering (XRE)ethods, Scrum and XP (eXtreme Programming) with six guidelines for agile teams. These guidelines ensure the extreme use of the valuable RE practices. The XRE can be helpful for practitioners to overcome many challenges faced by RE in agile.
25#
發(fā)表于 2025-3-25 20:03:25 | 只看該作者
26#
發(fā)表于 2025-3-26 04:05:49 | 只看該作者
27#
發(fā)表于 2025-3-26 05:42:02 | 只看該作者
28#
發(fā)表于 2025-3-26 12:05:00 | 只看該作者
EVALUATOR: An Automated Tool for Service Selectionhe service. The tool has been applied and evaluated in an observational case study for service selection. The results show that sentiment analysis helps in increasing relevant information for business analysts, assists in making more informed decisions, and allows us to overcome some of the challenges of service selection.
29#
發(fā)表于 2025-3-26 15:04:26 | 只看該作者
Conference proceedings 20155...The 9 full papers presented together with 3 tool demos papers and one short paper, were carefully reviewed and selected from 18 submissions. The papers deal with various aspects of?requirements engineering in the big data era, such as automated requirements analysis, requirements acquisition via
30#
發(fā)表于 2025-3-26 18:12:23 | 只看該作者
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