What makes expert systems survive over 10 years

Empirical evaluation of several engineering applications

Jukka K. Nurminen, Olli Karonen, Kimmo Hätönen

Research output: Contribution to journalArticleScientificpeer-review

25 Citations (Scopus)

Abstract

This case study analyzes eight expert system applications that have successfully been in industrial use for a long time. We have personally been involved in the development of these applications and are thus in a good position to analyze what is important for a successful application and what kind of mistakes can be made. Since the development of the applications started in 1986-1990 and some of them are still in use we are able to observe what has happened to those applications during their lifetime. Our key observations are related to the scope of the applications, to the trade-off between usability and automation, to the role of human experts in the use and development of expert systems, on the technical solutions used, on aspects of the operation of the expert system and on the similarities between expert systems and information systems. The key findings are expressed as 20 hypotheses for successful expert systems. The support of each application to the hypotheses is discussed. © 2002 Elsevier Science Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)199-211
Number of pages13
JournalExpert Systems with Applications
Volume24
Issue number2
DOIs
Publication statusPublished - Feb 2003
MoE publication typeA1 Journal article-refereed

Fingerprint

Expert systems
Information systems
Automation

Keywords

  • Expert systems
  • Implementation issues
  • Industrial applications
  • Lessons learned
  • Success factors

Cite this

Nurminen, Jukka K. ; Karonen, Olli ; Hätönen, Kimmo. / What makes expert systems survive over 10 years : Empirical evaluation of several engineering applications. In: Expert Systems with Applications. 2003 ; Vol. 24, No. 2. pp. 199-211.
@article{d4ea2f1bf7e3487ea209b33654117a9c,
title = "What makes expert systems survive over 10 years: Empirical evaluation of several engineering applications",
abstract = "This case study analyzes eight expert system applications that have successfully been in industrial use for a long time. We have personally been involved in the development of these applications and are thus in a good position to analyze what is important for a successful application and what kind of mistakes can be made. Since the development of the applications started in 1986-1990 and some of them are still in use we are able to observe what has happened to those applications during their lifetime. Our key observations are related to the scope of the applications, to the trade-off between usability and automation, to the role of human experts in the use and development of expert systems, on the technical solutions used, on aspects of the operation of the expert system and on the similarities between expert systems and information systems. The key findings are expressed as 20 hypotheses for successful expert systems. The support of each application to the hypotheses is discussed. {\circledC} 2002 Elsevier Science Ltd. All rights reserved.",
keywords = "Expert systems, Implementation issues, Industrial applications, Lessons learned, Success factors",
author = "Nurminen, {Jukka K.} and Olli Karonen and Kimmo H{\"a}t{\"o}nen",
year = "2003",
month = "2",
doi = "10.1016/S0957-4174(02)00149-5",
language = "English",
volume = "24",
pages = "199--211",
journal = "Expert Systems with Applications",
issn = "0957-4174",
publisher = "Elsevier",
number = "2",

}

What makes expert systems survive over 10 years : Empirical evaluation of several engineering applications. / Nurminen, Jukka K.; Karonen, Olli; Hätönen, Kimmo.

In: Expert Systems with Applications, Vol. 24, No. 2, 02.2003, p. 199-211.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - What makes expert systems survive over 10 years

T2 - Empirical evaluation of several engineering applications

AU - Nurminen, Jukka K.

AU - Karonen, Olli

AU - Hätönen, Kimmo

PY - 2003/2

Y1 - 2003/2

N2 - This case study analyzes eight expert system applications that have successfully been in industrial use for a long time. We have personally been involved in the development of these applications and are thus in a good position to analyze what is important for a successful application and what kind of mistakes can be made. Since the development of the applications started in 1986-1990 and some of them are still in use we are able to observe what has happened to those applications during their lifetime. Our key observations are related to the scope of the applications, to the trade-off between usability and automation, to the role of human experts in the use and development of expert systems, on the technical solutions used, on aspects of the operation of the expert system and on the similarities between expert systems and information systems. The key findings are expressed as 20 hypotheses for successful expert systems. The support of each application to the hypotheses is discussed. © 2002 Elsevier Science Ltd. All rights reserved.

AB - This case study analyzes eight expert system applications that have successfully been in industrial use for a long time. We have personally been involved in the development of these applications and are thus in a good position to analyze what is important for a successful application and what kind of mistakes can be made. Since the development of the applications started in 1986-1990 and some of them are still in use we are able to observe what has happened to those applications during their lifetime. Our key observations are related to the scope of the applications, to the trade-off between usability and automation, to the role of human experts in the use and development of expert systems, on the technical solutions used, on aspects of the operation of the expert system and on the similarities between expert systems and information systems. The key findings are expressed as 20 hypotheses for successful expert systems. The support of each application to the hypotheses is discussed. © 2002 Elsevier Science Ltd. All rights reserved.

KW - Expert systems

KW - Implementation issues

KW - Industrial applications

KW - Lessons learned

KW - Success factors

U2 - 10.1016/S0957-4174(02)00149-5

DO - 10.1016/S0957-4174(02)00149-5

M3 - Article

VL - 24

SP - 199

EP - 211

JO - Expert Systems with Applications

JF - Expert Systems with Applications

SN - 0957-4174

IS - 2

ER -