Logo des Repositoriums
 

An Approach for a Fast Cost Estimation of Software Projects supported by Sentiment AI Analysis

Kurzanzeige
dc.contributor.authorHartenstein, Sandro
dc.contributor.authorJohnson, Sidney L.
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:25Z
dc.date.available2023-11-29T14:50:25Z
dc.date.issued2023
dc.description.abstractIn this short paper, an approach for rapid cost estimation of software projects is presented. Compared to traditional cost estimation, requirements are directly evaluated by an AI sentiment analysis instead of examining a generic target architecture.en
dc.identifier.doi10.18420/inf2023_02
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43129
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectCost Estimation
dc.subjectSoftware Engineering
dc.subjectSentiment AI Analysis
dc.titleAn Approach for a Fast Cost Estimation of Software Projects supported by Sentiment AI Analysisen
dc.typeText/Conference Paper
gi.citation.endPage47
gi.citation.publisherPlaceBonn
gi.citation.startPage45
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleYoung Scientists and early-stage research in Data Science Workshop (YSDS-23)

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
01_03_Hartenstein.pdf
Größe:
220.52 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

P337 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten