Refactoring Software Development Process Terminology Through the Use of Ontology

Michael Reiner, Paul M. Clarke, Antoni Lluís Mesquida Calafat, Damjan Ekert, Joseph J. Ekstrom, Tatjana Gornostaja, Milos Jovanovic, Jørn Johansen, Antònia Mas Picahaco, Richard Messnarz, Blanca Nájera Villar, Alexander O'Connor, Rory V. O'Connor, Gabriele Sauberer, Klaus-Dirk Schmitz, Murat Yilmaz

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

In work that is ongoing, the authors are examining the extent of software development process terminology drift. Initial findings suggest there is a degree of term confusion, with the mapping of concepts to terms lacking precision in some instances. Ontologies are concerned with identifying the concepts of relevance to a field of endeavour and mapping those concepts to terms such that term confusion is reduced. In this paper, we discuss how ontologies are developed. We also identify various sources of software process terminology. Our work to date indicates that the systematic development of a software development process ontology would be of benefit to the entire software development community. The development of such an ontology would in effect represent a systematic refactoring of the terminology and concepts produced over four decades of software process innovation.

OriginalspracheEnglisch
TitelSystems, Software and Services Process Improvement - 23rd European Conference, EuroSPI 2016, Proceedings
Redakteure/-innenChristian Kreiner, Rory V. O’Connor, Richard Messnarz, Alexander Poth
Herausgeber (Verlag)Springer
Seiten47-57
Seitenumfang11
Band633
ISBN (Print)9783319448169
DOIs
PublikationsstatusVeröffentlicht - 1 Sep. 2016

Publikationsreihe

NameCommunications in Computer and Information Science
Band633
ISSN (Print)1865-0929

Forschungsfelder

  • Process Innovation

IMC Forschungsschwerpunkte

  • Digital transformation and organisational development

ÖFOS 2012 - Österreichischen Systematik der Wissenschaftszweige

  • 102030 Semantische Technologien
  • 102028 Knowledge Engineering

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