Metrics for software quality in automated production systems as an indicator for technical debt

Lorena Capitán, Birgit Vogel-Heuser

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

19 Zitate (Scopus)

Abstract

Technical debt (TD) is a critical issue in the software (SW) development industry that increases development costs over time and needs adaptation for production automation SW. This paper provides code metrics compliant with IEC 61131-3 programming languages for measuring the quality level of the system enabling the SW developer to evaluate TD compared to other existing applications. We introduce metrics, i.e. Halstead, McCabe, Kafura or MSUI to evaluate their applicability measuring code size, complexity and modularity in APS domain using two different expansion states of an application example.

OriginalspracheEnglisch
Titel2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
Herausgeber (Verlag)IEEE Computer Society
Seiten709-716
Seitenumfang8
ISBN (elektronisch)9781509067800
DOIs
PublikationsstatusVeröffentlicht - 1 Juli 2017
Veranstaltung13th IEEE Conference on Automation Science and Engineering, CASE 2017 - Xi'an, China
Dauer: 20 Aug. 201723 Aug. 2017

Publikationsreihe

NameIEEE International Conference on Automation Science and Engineering
Band2017-August
ISSN (Print)2161-8070
ISSN (elektronisch)2161-8089

Konferenz

Konferenz13th IEEE Conference on Automation Science and Engineering, CASE 2017
Land/GebietChina
OrtXi'an
Zeitraum20/08/1723/08/17

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