OPTImizing dependability via MUtation analysis for Microelectronics (OPTIMUM)

Starting date
January 1, 2011
Duration (months)
12
Departments
Computer Science, Department of Engineering for Innovation Medicine
Managers or local contacts
Fummi Franco
Keyword
Mutation analysis, Mutation testing, Verification, Testing, Information and communication technology, Embedded systems

The project aims at developing a framework and a related methodology for the dependability analysis and simulation of networked embedded systems targeting, particularly, safety and robustness. These two aspects are very relevant, in particular, for embedded systems used in critical environment, like for example in the automotive field where the goal of leader vendors (e.g., STMicroelectronis) is to produce systems with a failure rate of 1-10 failures per hour.
The framework will be based on an hardware/software/network co-simulation environment (HSN) and on an automatic test pattern generator (Laerte++) under development by UNIVR, and on a mutation analysis tool developed by Certess (Certitude). The main goal of the project consists of mapping the existent mutation models implemented by Certitude in real faults that may affect the design and production of networked embedded systems, and in the definition of new mutation models for addressing design error identification (safety) and fault tolerance (robustness). Finally, effective strategies for speeding up the mutation analysis process will be developed, and a parallel fault simulator (PAE) will be implemented to be integrated with Certess and Laerte++.

In this context, HSN will be used to model the behaviour of networked embedded systems at different abstraction levels in order to evaluate the effect of modelled faults. The effectiveness of the framework will be demonstrated by evaluating the dependability of real embedded systems, used in automotive, provided by IC vendors identified by Certess.

Sponsors:

Ateneo
Funds: assigned and managed by the department
Syllabus: PROGATENEO - Progetti d'Ateneo
STM Products s.r.l.
Funds: assigned and managed by the department
Syllabus: PROGATENEO - Progetti d'Ateneo

Project participants

Andrea Acquaviva
Nicola Bombieri
Full Professor
Simone Camporeale
Franco Fummi
Full Professor
Cristina Marconcini
Graziano Pravadelli
Full Professor
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