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Coverage measurement for software application testing using partially ordered domains and symbolic trajectory evaluation techniques

Authors: Adriel Cheng; Atanas N. Parashkevov; Cheng-Chew Lim;

Coverage measurement for software application testing using partially ordered domains and symbolic trajectory evaluation techniques

Abstract

Ensuring the functional correctness of a SoC is essential for successful design projects. A proven and effective method from Freescale Semiconductor Australia is to employ software application testing at the pre-silicon simulation stage. This method was formalized and implemented into a Software Application Level Verification Methodology (SALVEM). However, despite its successes, SALVEM lacks an effective coverage technique. Existing coverage methods are unsuitable because they do not provide any useful information about the functional applications verified. The contribution of this paper is a coverage method that determines what functional SoC behaviours were tested, and quantifies this information into a coverage metric to estimate the comprehensiveness of SALVEM testing. The paper will outline the coverage method, and explain the abstraction and coverage modelling graph techniques adapted from the formal verification domain of Symbolic Trajectory Evaluation. The coverage method was applied to the Nios SoC and experimental coverage results will be discussed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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