TY - GEN
T1 - How Do Engineers Perceive Difficulties in Engineering of Machine-Learning Systems? - Questionnaire Survey
AU - Ishikawa, Fuyuki
AU - Yoshioka, Nobukazu
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - machine learning
KW - questionnaire survey
KW - software engineering
UR - http://www.scopus.com/inward/record.url?scp=85073437829&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073437829&partnerID=8YFLogxK
U2 - 10.1109/CESSER-IP.2019.00009
DO - 10.1109/CESSER-IP.2019.00009
M3 - Conference contribution
AN - SCOPUS:85073437829
T3 - Proceedings - 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
SP - 2
EP - 9
BT - Proceedings - 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
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 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
Y2 - 28 May 2019
ER -