Publikationer från Malmö universitet
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Breaking the vicious circle: A case study on why AI for software analytics and business intelligence does not take off in practice
Siemens Corp Technol, Otto Hahn Ring 6, D-81739 Munich, Germany..
Siemens Corp Technol, Otto Hahn Ring 6, D-81739 Munich, Germany..ORCID-id: 0000-0002-7537-0263
Chalmers Univ Technol, Dept Comp Sci & Engn, Horselgangen 11, S-41296 Gothenburg, Sweden..ORCID-id: 0000-0003-2854-722X
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0002-7700-1816
2022 (Engelska)Ingår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 184, artikel-id 111135Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

In recent years, the application of artificial intelligence (AI) has become an integral part of a wide range of areas, including software engineering. By analyzing various data sources generated in software engineering, it can provide valuable insights into customer behavior, product performance, bugs and errors, and many more. In practice, however, AI for software analytics and business intelligence often remains at a prototypical stage, and the results are rarely used to make decisions based on data. To understand the underlying causes of this phenomenon, we conduct an explanatory case study consisting of and interview study and a survey on the challenges of realizing and utilizing artificial intelligence in the context of software-intensive businesses. As a result, we identify a vicious circle that prevents practitioners from moving from prototypical AI-based analytics to continuous and productively usable software analytics and business intelligence solutions. In order to break the vicious circle in a targeted manner, we identify a set of solutions based on existing literature as well as the previously conducted interviews and survey. Finally, these solutions are validated by a focus group of experts. (C) 2021 Elsevier Inc. All rights reserved.

Ort, förlag, år, upplaga, sidor
Elsevier, 2022. Vol. 184, artikel-id 111135
Nyckelord [en]
Data analytics, Artificial intelligence, Software analytics, Business intelligence, Data-driven software engineering
Nationell ämneskategori
Programvaruteknik
Identifikatorer
URN: urn:nbn:se:mau:diva-47264DOI: 10.1016/j.jss.2021.111135ISI: 000722219800007Scopus ID: 2-s2.0-85119991290OAI: oai:DiVA.org:mau-47264DiVA, id: diva2:1617594
Tillgänglig från: 2021-12-07 Skapad: 2021-12-07 Senast uppdaterad: 2024-02-05Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Olsson, Helena Holmström

Sök vidare i DiVA

Av författaren/redaktören
Elsner, ChristophBosch, JanOlsson, Helena Holmström
Av organisationen
Institutionen för datavetenskap och medieteknik (DVMT)
I samma tidskrift
Journal of Systems and Software
Programvaruteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 190 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf