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Towards systematic compliance evaluation using safety-oriented process lines and evidence mapping

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationSystems, Software and Services Process Improvement - 24th European Conference, EuroSPI 2017, Proceedings
PublisherSpringer Verlag
Pages83-95
Number of pages13
ISBN (Print)9783319642178
DOIs
Publication statusPublished - 2017
Publication typeA4 Article in a conference publication
EventEuropean Conference on Software Process Improvement -
Duration: 1 Jan 2000 → …

Publication series

NameCommunications in Computer and Information Science
Volume748
ISSN (Print)1865-0929

Conference

ConferenceEuropean Conference on Software Process Improvement
Period1/01/00 → …

Abstract

The role of software is growing in safety related systems. This underlines the need for software process assessment in many safety-critical domains. For example, the nuclear power industry has strict safety requirements for control systems and many methods are applied to evaluate compliance to domain specific standards and requirements. This paper discusses the needs of the nuclear domain and presents alternatives to develop a process assessment method that takes into account domain specific requirements. The aim is to provide an approach that facilitates the use of assessment findings in evaluating compliance with the domain requirements and supports other assurance needs. Safety-oriented Process Line Engineering (SoPLE) is studied as a method for mapping assessment criteria to domain specific requirements. A binary distance metric is used to evaluate, how far a process mapping based method would solve problems found in compliance evaluation. Based on the results, SoPLE is applicable in this case, but process mapping is not adequate to facilitate compliance evaluation.

ASJC Scopus subject areas

Keywords

  • Process assessment, Process lines, Safety, Systems engineering

Publication forum classification

Field of science, Statistics Finland