Software engineering for artificial intelligence and machine learning software: A systematic literature review

Authors

  • Elizamary Nascimento
    Institute of Computing, Universidade Federal do Amazonas, Manaus, Amazonas
    Brasil
  • Anh Nguyen-Duc
    School of Business, University of South-Eastern Norway, Bø i Telemark
    Norway
  • Ingrid Sundbø
    School of Business, University of South-Eastern Norway, Bø i Telemark
    Norway
  • Tayana Conte
    Institute of Computing, Universidade Federal do Amazonas, Manaus, Amazonas
    Brasil

Link to publication

https://arxiv.org/pdf/2011.03751

Key takeaways

  • Software engineering for Artificial Intelligence and Machine Learning is perceived by the scientific community as emerging research in many areas of research, rather than a specific research topic, as it is demonstrated by the fact the topic is addressed in a wide variety of rather heterogeneous journals and events.
  • Most of the research on AI engineering is not tailored to a specific application domain; only in the 40% of the surveyed publications explicit reference is made to application domains such as automotive, finance, healthcare, software, education, retail, manufacturing, information processing and provisioning, and more.