Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600499
Title: Towards more effective testing of communications-critical large scale systems
Author: Nabulsi, Mohammad
ISNI:       0000 0004 5351 4398
Awarding Body: Brunel University
Current Institution: Brunel University
Date of Award: 2014
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Abstract:
None of today’s large scale systems could function without the reliable availability of a varied range of network communications capabilities. Whilst software, hardware and communications technologies have been advancing throughout the past two decades, the methods commonly used by industry for testing large scale systems which incorporate critical communications interfaces have not kept pace. This thesis argues for the need for a specifically tailored framework to achieve effective testing of communications-critical large scale systems (CCLSS). The thesis initially discusses how generic test approaches are leading to inefficient and costly test activities in industry. The thesis then presents the form and features of an alternative CCLSS domain-specific test framework, develops its ideas further into a detailed and structured test approach for one of its layers, and then provides a detailed example of how this framework can be applied using a real-life case study. The thesis concludes with a qualitative as well a simulation-based evaluation of the framework’s benefits observed during the case study and an evaluation by expert external participants considering whether similar benefits can be realised if the framework is adopted for the testing of other comparable systems. Requirements data from a second CCLSS is included in the evaluation by external participants as a second smaller case study.
Supervisor: Hierons, R. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.600499  DOI: Not available
Keywords: Test management ; Test design ; Test strategy ; Requirements prioritisation ; Test efficiency simulation
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