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A Graded Approach to Requirement Satisfaction for Evolving Systems

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Original languageEnglish
Title of host publication2019 IEEE International Conference on Fuzzy Systems
Publisher or commissioning bodyIEEE Computer Society
Number of pages6
ISBN (Electronic)978-1-5386-1728-1
ISBN (Print)978-1-5386-1729-8
DateAccepted/In press - 25 Jan 2019
DatePublished (current) - 10 Oct 2019
EventIEEE International conference on Fuzzy Systems - New Orleans, United States
Duration: 23 Jun 201926 Jun 2019

Publication series

NameIEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
ISSN (Print)1544-5615
ISSN (Electronic)1558-4739


ConferenceIEEE International conference on Fuzzy Systems
Abbreviated titleFUZZ IEEE 2019
CountryUnited States
CityNew Orleans
Internet address


There has been a strong trend towards autonomous and semi-autonomous systems in recent years. Evolving and adaptive systems embody the notion of autonomy, by changing their behavior (and possibly their structure) in response to changes in their environment. A consequence is that a designer may not be able to fully define the functional behavior of a system. Hence, formal verification and testing may not be possible. As a result, the self-adapting aspect of an evolving system is often implemented in an informal, ad hoc, manner and there is potential for causing significant harm if a system malfunctions in some way. A safety case requires more than an assertion that a system will work because it has not failed in testing. A more rigorous approach is essential, in which we can formally show that an evolving system meets its requirements and specifications. This paper outlines initial work in combining the X-mu approach (to model fuzzy uncertainty) with flexible requirements for an evolving system specified in RELAX, a formal framework to capture the uncertainty in evolving system requirements. A simple case study is used to illustrate some of the principles.

    Research areas

  • Uncertainty, Software, Fuzzy sets, Standards, Adaptive systems, Testing, Robots


IEEE International conference on Fuzzy Systems

Abbreviated titleFUZZ IEEE 2019
Duration23 Jun 201926 Jun 2019
CityNew Orleans
CountryUnited States
Web address (URL)
Degree of recognitionInternational event

Event: Conference

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 464 KB, PDF document


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