A Study on an Evolution of a Data Collection System for Knowledge Representation

Jari Soini; Markku Kuusisto; Petri Rantanen; Mika Saari; Pekka Sillberg

doi:10.3233/FAIA200013

A Study on an Evolution of a Data Collection System for Knowledge Representation

Jari Soini, Markku Kuusisto, Petri Rantanen, Mika Saari, Pekka Sillberg

Tietotekniikka

Tutkimustuotos: Luku › Scientific › vertaisarvioitu

2 Sitaatiot (Scopus)

17 Lataukset (Pure)

Abstrakti

In this article the focus is on software evolution, which is an important part of software engineering. In practice, software development does not stop when a system is delivered but continues throughout the lifetime of the system. After the system has been deployed, external pressure for change can generate new requirements for the existing software. This change aspect, which is a characteristic of software engineering, should be taken into consideration when developing and modeling new software systems. In this paper the theme was studied using experience gained from the piloting of a reference system developed in an earlier research project carried out by T ampere University of Technology. Software evaluation is examined from the point of view of system developers, administrators (maintenance), and end users based on a concrete long-term piloting period.

Alkuperäiskieli	Englanti
Otsikko	Information Modelling and Knowledge Bases XXXI
Toimittajat	Ajantha Dahanayake, Janne Huiskonen, Yasushi Kiyoki, Bernhard Thalheim, Hannu Jaakkola, Naofumi Yoshida
Kustantaja	IOS Press
Sivut	161 - 174
ISBN (elektroninen)	978-1-64368-045-3
ISBN (painettu)	978-1-64368-044-6
DOI - pysyväislinkit	https://doi.org/10.3233/FAIA200013
Tila	Julkaistu - 2020
OKM-julkaisutyyppi	A3 Kirjan tai muun kokoomateoksen osa
Tapahtuma	EJC 2019 The 29th International Conference on Information Modelling and Knowledge Bases - Lappeenranta, Suomi Kesto: 3 kesäk. 2019 → 7 kesäk. 2019 Konferenssinumero: 29 https://www.lut.fi/web/en/ejc-conference

Julkaisusarja

Nimi	Frontiers in artificial intelligence and applications
Vuosikerta	321
ISSN (elektroninen)	1879-8314

Conference

Conference	EJC 2019 The 29th International Conference on Information Modelling and Knowledge Bases
Maa/Alue	Suomi
Kaupunki	Lappeenranta
Ajanjakso	3/06/19 → 7/06/19
www-osoite	https://www.lut.fi/web/en/ejc-conference

Julkaisufoorumi-taso

Jufo-taso 1

!!ASJC Scopus subject areas

Information Systems

Pääsy asiakirjaan

10.3233/FAIA200013

EJC2019Submitted manuscript, 696 KB

http://urn.fi/URN:NBN:fi:tuni-202101261706

Siteeraa tätä

Soini, J., Kuusisto, M., Rantanen, P., Saari, M., & Sillberg, P. (2020). A Study on an Evolution of a Data Collection System for Knowledge Representation. teoksessa A. Dahanayake, J. Huiskonen, Y. Kiyoki, B. Thalheim, H. Jaakkola, & N. Yoshida (Toimittajat), Information Modelling and Knowledge Bases XXXI (Sivut 161 - 174). (Frontiers in artificial intelligence and applications; Vuosikerta 321). IOS Press. https://doi.org/10.3233/FAIA200013

Soini, Jari ; Kuusisto, Markku ; Rantanen, Petri et al. / A Study on an Evolution of a Data Collection System for Knowledge Representation. Information Modelling and Knowledge Bases XXXI. Toimittaja / Ajantha Dahanayake ; Janne Huiskonen ; Yasushi Kiyoki ; Bernhard Thalheim ; Hannu Jaakkola ; Naofumi Yoshida. IOS Press, 2020. Sivut 161 - 174 (Frontiers in artificial intelligence and applications).

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abstract = "In this article the focus is on software evolution, which is an important part of software engineering. In practice, software development does not stop when a system is delivered but continues throughout the lifetime of the system. After the system has been deployed, external pressure for change can generate new requirements for the existing software. This change aspect, which is a characteristic of software engineering, should be taken into consideration when developing and modeling new software systems. In this paper the theme was studied using experience gained from the piloting of a reference system developed in an earlier research project carried out by T ampere University of Technology. Software evaluation is examined from the point of view of system developers, administrators (maintenance), and end users based on a concrete long-term piloting period.",

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author = "Jari Soini and Markku Kuusisto and Petri Rantanen and Mika Saari and Pekka Sillberg",

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Soini, J, Kuusisto, M, Rantanen, P , Saari, M & Sillberg, P 2020, A Study on an Evolution of a Data Collection System for Knowledge Representation. julkaisussa A Dahanayake, J Huiskonen, Y Kiyoki, B Thalheim, H Jaakkola & N Yoshida (toim), Information Modelling and Knowledge Bases XXXI. Frontiers in artificial intelligence and applications, Vuosikerta 321, IOS Press, Sivut 161 - 174, EJC 2019 The 29th International Conference on Information Modelling and Knowledge Bases, Lappeenranta, Suomi, 3/06/19. https://doi.org/10.3233/FAIA200013

A Study on an Evolution of a Data Collection System for Knowledge Representation. / Soini, Jari; Kuusisto, Markku; Rantanen, Petri et al.
Information Modelling and Knowledge Bases XXXI. toim. / Ajantha Dahanayake; Janne Huiskonen; Yasushi Kiyoki; Bernhard Thalheim; Hannu Jaakkola; Naofumi Yoshida. IOS Press, 2020. s. 161 - 174 (Frontiers in artificial intelligence and applications; Vuosikerta 321).

Tutkimustuotos: Luku › Scientific › vertaisarvioitu

TY - CHAP

T1 - A Study on an Evolution of a Data Collection System for Knowledge Representation

AU - Soini, Jari

AU - Kuusisto, Markku

AU - Rantanen, Petri

AU - Saari, Mika

AU - Sillberg, Pekka

N1 - Conference code: 29

PY - 2020

Y1 - 2020

N2 - In this article the focus is on software evolution, which is an important part of software engineering. In practice, software development does not stop when a system is delivered but continues throughout the lifetime of the system. After the system has been deployed, external pressure for change can generate new requirements for the existing software. This change aspect, which is a characteristic of software engineering, should be taken into consideration when developing and modeling new software systems. In this paper the theme was studied using experience gained from the piloting of a reference system developed in an earlier research project carried out by T ampere University of Technology. Software evaluation is examined from the point of view of system developers, administrators (maintenance), and end users based on a concrete long-term piloting period.

AB - In this article the focus is on software evolution, which is an important part of software engineering. In practice, software development does not stop when a system is delivered but continues throughout the lifetime of the system. After the system has been deployed, external pressure for change can generate new requirements for the existing software. This change aspect, which is a characteristic of software engineering, should be taken into consideration when developing and modeling new software systems. In this paper the theme was studied using experience gained from the piloting of a reference system developed in an earlier research project carried out by T ampere University of Technology. Software evaluation is examined from the point of view of system developers, administrators (maintenance), and end users based on a concrete long-term piloting period.

KW - information systems

KW - software evolution

KW - data representation

KW - visualization

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M3 - Chapter

SN - 978-1-64368-044-6

T3 - Frontiers in artificial intelligence and applications

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EP - 174

BT - Information Modelling and Knowledge Bases XXXI

A2 - Dahanayake, Ajantha

A2 - Huiskonen, Janne

A2 - Kiyoki, Yasushi

A2 - Thalheim, Bernhard

A2 - Jaakkola, Hannu

A2 - Yoshida, Naofumi

PB - IOS Press

T2 - EJC 2019 The 29th International Conference on Information Modelling and Knowledge Bases

Y2 - 3 June 2019 through 7 June 2019

ER -

Soini J, Kuusisto M, Rantanen P , Saari M , Sillberg P. A Study on an Evolution of a Data Collection System for Knowledge Representation. julkaisussa Dahanayake A, Huiskonen J, Kiyoki Y, Thalheim B, Jaakkola H, Yoshida N, toimittajat, Information Modelling and Knowledge Bases XXXI. IOS Press. 2020. s. 161 - 174. (Frontiers in artificial intelligence and applications). doi: 10.3233/FAIA200013

A Study on an Evolution of a Data Collection System for Knowledge Representation

Abstrakti

Julkaisusarja

Conference

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

Pääsy asiakirjaan

Sormenjälki

Siteeraa tätä