Institutsseminar/2022-06-24

Termin (Alle Termine)

	Datum	Freitag, 24. Juni 2022
	Uhrzeit	11:30 – 12:00 Uhr (Dauer: 30 min)
	Ort	Raum 348 (Gebäude 50.34)
	Webkonferenz	https://sdqweb.ipd.kit.edu/wiki/SDQ-Oberseminar/Microsoft Teams
	Vorheriger Termin	Fr 3. Juni 2022
	Nächster Termin	Fr 1. Juli 2022

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Vorträge

Vortragende(r)	Kevin Werber
Titel	Assessing Word Similarity Metrics For Traceability Link Recovery
Vortragstyp	Bachelorarbeit
Betreuer(in)	Jan Keim
Vortragssprache
Vortragsmodus	online
Kurzfassung	The software development process usually involves different artifacts that each describe different parts of the whole software system. Traceability Link Recovery is a technique that aids the development process by establishing relationships between related parts from different artifacts. Artifacts that are expressed in natural language are more difficult for machines to understand and therefore pose a challenge to this link recovery process. A common approach to link elements from different artifacts is to identify similar words using word similarity measures. ArDoCo is a tool that uses word similarity measures to recover trace links between natural language software architecture documentation and formal architectural models. This thesis assesses the effect of different word similarity measures on ArDoCo. The measures are evaluated using multiple case studies. Precision, recall, and encountered challenges for the different measures are reported as part of the evaluation.

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