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https://doi.org/10.1109/delta....
Article . 2005 . Peer-reviewed
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Coverage Measurement for Software Application Level Verification using Symbolic Trajectory Evaluation Techniques

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

Coverage Measurement for Software Application Level Verification using Symbolic Trajectory Evaluation Techniques

Abstract

Design verification of a systems-on-a-chip is a bottleneck for hardware design projects. A new solution is a design verification methodology that applies coverage driven verification at the embedded software application level. This methodology currently lacks an appropriate coverage measurement technique. This paper proposes a new coverage model for the software application level. Using this coverage model, a novel technique to represent and measure coverage is described. This technique uses ideas such as control graph structures and checking algorithms to estimate the completeness of software application verification.

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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!
2
Average
Top 10%
Average