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Towards software metrics for evaluating quality of IEC 61499 automation software
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0002-7419-8289
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0002-9315-9920
2015 (Engelska)Ingår i: Proceedings of 2015 IEEE 20th International Conference on Emerging Technologies & Factory Automation (ETFA 2015): Luxembourg, 8-11 Sept. 2015, Piscataway, NJ: IEEE Communications Society, 2015, artikel-id 7301502Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The quality of the software has an increasing impact on the performance, operation and ultimately the cost of industrial automation systems. Software metrics are necessary to assess the quality and to identify modules that impact cost of testing and maintenance. There is a number of software metrics available within a software engineering domain. However, there is a gap when it comes to evaluating IEC 61499 automation software. It is a challenging task too. IEC 61499 architecture embraces several software development techniques such as imperative languages, state machines and object oriented programming. This paper proposes the method for calculating metrics for IEC 61499 function blocks. These metrics were used to analyze power system protection software. Metrics confirmed expected results and reasonably described quality of software modules. With further improvement and expansion of the proposed set of metrics, it will be possible to accurately analyze and therefore improve automation software design and reduce cost.

Ort, förlag, år, upplaga, sidor
Piscataway, NJ: IEEE Communications Society, 2015. artikel-id 7301502
Serie
I E E E International Conference on Emerging Technologies and Factory Automation. Proceedings, ISSN 1946-0740
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Kommunikations- och beräkningssystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-37544DOI: 10.1109/ETFA.2015.7301502Scopus ID: 84952931093Lokalt ID: b9bcc0aa-52b0-4244-ac46-502a7879c1edOAI: oai:DiVA.org:ltu-37544DiVA, id: diva2:1011042
Konferens
IEEE International Conference on Emerging Technologies and Factory Automation : 08/09/2015 - 11/09/2015
Anmärkning
Validerad; 2016; Nivå 1; 20151105 (andbra)Tillgänglig från: 2016-10-03 Skapad: 2016-10-03 Senast uppdaterad: 2018-01-14Bibliografiskt granskad

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Zhabelova, GulnaraVyatkin, Valeriy

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