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<title>P300 - Software Engineering 2020</title>
<link>http://dl.gi.de/handle/20.500.12116/31684</link>
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<dc:date>2026-07-22T22:14:07Z</dc:date>
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<title>Review-Modelle zur Unterstützung in der funktionszentrierten Entwicklung eingebetteter Systeme</title>
<link>http://dl.gi.de/handle/20.500.12116/31753</link>
<description>Review-Modelle zur Unterstützung in der funktionszentrierten Entwicklung eingebetteter Systeme
Daun, Marian; Weyer, Thorsten; Pohl, Klaus
Felderer, Michael; Hasselbring, Wilhelm; Rabiser, Rick; Jung, Reiner
Dieser Vortrag berichtet von dem Beitrag Improving manual reviews in function-centered
engineering of embedded systems using a dedicated review model, der in der Fachzeitschrift
Software and Systems Modeling veröffentlicht wurde. Im Rahmen des Beitrags wurde ein dezidiertes
Review-Modell vorgeschlagen, um die Validierung der interaktionsbasierten Verhaltensanforderungen
und des funktionalen Entwurfs in einem gemeinsamen Qualitätssicherungsschritt zu unterstützen.
Neben der automatisierten Erzeugung des Review-Modells wurde mithilfe kontrollierter Experimente
die Vorteilhaftigkeit des vorgeschlagenen Review-Modells nachgewiesen.
</description>
<dc:date>2020-01-01T00:00:00Z</dc:date>
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<title>Enactment of Adaptation in Data Stream Processing with Latency Implications</title>
<link>http://dl.gi.de/handle/20.500.12116/31754</link>
<description>Enactment of Adaptation in Data Stream Processing with Latency Implications
Qin, Cui; Eichelberger, Holger; Schmid, Klaus
Felderer, Michael; Hasselbring, Wilhelm; Rabiser, Rick; Jung, Reiner
This summary refers to the paper Enactment of adaptation in data stream processing with latency implications – A systematic literature review. This paper is a journal paper published in Information and Software Technology (IST) in July 2019.

Runtime adaptation in stream processing plays a significant role in supporting the optimization of data processing tasks. In recent years, runtime adaptation, particularly its enactment, has received significant
interest in scientific literature. However, so far no categorization of the enactment approaches for runtime adaptation in stream processing has been established.

This paper presents a systematic literature review (SLR), where we identify and characterize different approaches towards the enactment of runtime adaptation in stream processing with a main focus on
latency as quality dimension. We discovered 75 relevant papers out of 244 papers from the search. We identified 17 different enactment categories and developed a taxonomy to characterize all possible enactment approaches. We extracted the realization techniques of each identified enactment approach and classified them into categories. Furthermore, we identified 9 categories of processing problems, 6 adaptation goals, 9 evaluation metrics and 12 evaluation parameters from the identified enactment approaches. The research interest on enactment approaches has significantly increased in recent years.
The most commonly applied enactment approaches are parameter adaptation to tune parameters or settings of the processing, load balancing used to re-distribute workloads, and processing scaling to dynamically scale up and down the processing.
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<dc:date>2020-01-01T00:00:00Z</dc:date>
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<title>Software Engineering 2020 - Komplettband</title>
<link>http://dl.gi.de/handle/20.500.12116/31752</link>
<description>Software Engineering 2020 - Komplettband
Felderer, Michael; Hasselbring, Wilhelm; Rabiser, Rick; Jung, Reiner
</description>
<dc:date>2020-01-01T00:00:00Z</dc:date>
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<item rdf:about="http://dl.gi.de/handle/20.500.12116/31751">
<title>Reusability in Artificial Neural Networks: An Empirical Study</title>
<link>http://dl.gi.de/handle/20.500.12116/31751</link>
<description>Reusability in Artificial Neural Networks: An Empirical Study
Ghofrani, Javad; Kozegar, Ehsan; Bozorgmehr, Arezoo; Soorati, Mohammad Divband
Felderer, Michael; Hasselbring, Wilhelm; Rabiser, Rick; Jung, Reiner
This manuscript summarizes our empirical study on reuse in the context of Artificial Neural Networks (ANNs) extensively described in [Gh19b] as a paper with the same title, presented in 2nd International Workshop on Experiences and Empirical Studies on Software Reuse (WEESR 2019)
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<dc:date>2020-01-01T00:00:00Z</dc:date>
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