Institutsseminar/2020-10-09: Unterschied zwischen den Versionen

Aus SDQ-Institutsseminar
Keine Bearbeitungszusammenfassung
Keine Bearbeitungszusammenfassung
 
(Eine dazwischenliegende Version von einem anderen Benutzer wird nicht angezeigt)
Zeile 1: Zeile 1:
{{Termin
{{Termin
|datum=2020/10/09 14:00:00
|datum=2020/10/09 14:00:00
|raum=https://sdqweb.ipd.kit.edu/wiki/Institutsseminar/Microsoft Teams
|online=https://sdqweb.ipd.kit.edu/wiki/Institutsseminar/Microsoft_Teams
}}
}}
Prof. Reussner nimmt teil, bestätigt am 29.7.20.
Teilnahme von Prof. Reussner am 29.7.20 durch Sekretariat bestätigt.

Aktuelle Version vom 14. Januar 2022, 13:20 Uhr

Termin (Alle Termine)
Datum Freitag, 9. Oktober 2020
Uhrzeit 14:00 – 14:45 Uhr (Dauer: 45 min)
Ort
Webkonferenz https://sdqweb.ipd.kit.edu/wiki/Institutsseminar/Microsoft Teams
Vorheriger Termin Fr 9. Oktober 2020
Nächster Termin Fr 23. Oktober 2020

Termin in Kalender importieren: iCal (Download)

Vorträge

Vortragende(r) David Monschein
Titel Enabling Consistency between Software Artefacts for Software Adaption and Evolution
Vortragstyp Masterarbeit
Betreuer(in) Robert Heinrich
Vortragssprache
Vortragsmodus
Kurzfassung Nowadays, software systems are evolving at a pace never seen before. As a result, emerging inconsistencies between different software artifacts are almost inevitable. Currently, there are already approaches for automated consistency maintenance between source code and architecture models. However, these approaches have various limitations. Therefore, in this thesis, we present a comprehensive approach for supporting the consistency preservation between software artifacts with special focus on software evolution and adaptation. At design-time, source code analysis and consistency rules are used, while at run-time, monitoring data is used as input for a transformation pipeline. In contrast to already existing approaches, the automated derivation of the system composition is supported. Ultimately, self-validations were included as a central component of the approach. In a case study based evaluation the accuracy of the models and the performance of the approach was measured. In addition, the scalability of the transformations within the pipeline was investigated.
Neuen Vortrag erstellen

Hinweise

Teilnahme von Prof. Reussner am 29.7.20 durch Sekretariat bestätigt.