Abstract
[Context and motivation] It is desirable that require- ment engineering methods are reliable, that is, that methods can be repeated with the same results. Risk assessments methods, however, often have low reliability when they identify risk mitigations for a sys- tem based on expert judgement. [Question/problem] Our goal is to assess the reliability of an availability risk assessment method for telecom infrastructures, and to identify possibilities for improvement of its reli- ability. [Principal ideas/results] We propose an experimental valida- tion of reliability, and report on its application. We give a detailed analy- sis of sources of variation, explain how we controlled them and validated their mitigations, and motivate the statistical procedure used to analyse the outcome. [Contribution] Our results can be used to improve the reliability of risk assessment methods. Our approach to validating relia- bility can be useful for the assessment of the reliability of other methods.
Original language | Undefined |
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Title of host publication | 21st International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2015 |
Place of Publication | Cham, Switzerland |
Publisher | Springer |
Pages | 1-16 |
Number of pages | 16 |
ISBN (Print) | 978-3-319-16100-6 |
DOIs | |
Publication status | Published - Mar 2015 |
Event | 21st International Working Conference on Requirements Engineering: Foundation for Software Quality 2015 - ATLANTIC Congress Hotel, Essen, Germany Duration: 23 Mar 2015 → 26 Mar 2015 Conference number: 21 https://refsq.org/2015/ |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 9013 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 21st International Working Conference on Requirements Engineering: Foundation for Software Quality 2015 |
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Abbreviated title | REFSQ 2015 |
Country/Territory | Germany |
City | Essen |
Period | 23/03/15 → 26/03/15 |
Internet address |
Keywords
- EWI-25909
- SCS-Cybersecurity
- Experiment design
- Expert judgement
- RISK ASSESSMENT
- Reliability
- Telecommunications
- METIS-312542
- IR-95458