How Do Engineers Perceive Difficulties in Engineering of Machine-Learning Systems? - Questionnaire Survey

Fuyuki Ishikawa, Nobukazu Yoshioka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

28 Citations (Scopus)

Abstract

There is increasing interest in machine learning (ML) techniques and their applications in recent years. Although there has been intensive support by frameworks and libraries for the implementation of ML-based systems, investigation into engineering disciplines and methods is still at the early phase. The most pressing issue in this field is identifying the essential challenges for the software engineering research community as engineering of ML-based systems requires novel approaches due to the essentially different nature of ML-based systems. In this paper, we analyze the results of a questionnaire administered to 278 people who have worked on ML-based systems in practice, clarify the essential difficulties and their causes as perceived by practitioners, and suggest potential research directions.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE/ACM Joint 7th International Workshop on Conducting Empirical Studies in Industry and 6th International Workshop on Software Engineering Research and Industrial Practice, CESSER-IP 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2-9
Number of pages8
ISBN (Electronic)9781728122649
DOIs
Publication statusPublished - 2019 May
Externally publishedYes
EventJoint IEEE/ACM 7th International Workshop on Conducting Empirical Studies in Industry and 6th International Workshop on Software Engineering Research and Industrial Practice, CESSER-IP 2019 - Montreal, Canada
Duration: 2019 May 28 → …

Publication series

NameProceedings - 2019 IEEE/ACM Joint 7th International Workshop on Conducting Empirical Studies in Industry and 6th International Workshop on Software Engineering Research and Industrial Practice, CESSER-IP 2019

Conference

ConferenceJoint IEEE/ACM 7th International Workshop on Conducting Empirical Studies in Industry and 6th International Workshop on Software Engineering Research and Industrial Practice, CESSER-IP 2019
Country/TerritoryCanada
CityMontreal
Period19/5/28 → …

Keywords

  • artificial intelligence
  • machine learning
  • questionnaire survey
  • software engineering

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality

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