Derivation of Failure Mode and Effects Analysis (FMEA) Table from UML Software Model by Epsilon Model Transformation

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  • Discovering and documenting potential failures and irregular user behavior that can interrupt the normal system behaviour is very important during the development of critical systems. Failure Mode and Effects Analysis (FMEA) is a bottom-up inductive analysis method that helps to identify potential failure modes based on experience with similar products and processes. Model-Driven Development (MDD) is a software development paradigm that raises the level of abstraction of software development by changing the focus from code to models and automating code generation from models. MDD also eases the derivation of analysis models for different software non-functional properties in the early stage of software development. The objective of this thesis is to develop a model transformation process that takes as input a UML software model with failure mode annotations and generates a FMEA model. The transformation is developed in Epsilon, a new family of languages specialized in model transformations.

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  • Copyright © 2016 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.

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  • 2016

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