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Learn more about our SCA compliance testing tool »Blackspot: Using Tensor Decompositions to Guide Inspection of Source Code
March 5, 2016
In this paper we introduce Blackspot, an extension to R-Check SCA that uses unsupervised machine learning based on tensor decompositions to organize and highlight sections of source code for more systematic inspection. Using markers identified by R-Check SCA’s Pitchfork rule language, multidimensional decompositions are used to cluster code so as to group similar structures for accelerated manual inspection and, when seeded with examples of known weaknesses, to prioritize code fragments for rigorous review based on similarity derived from latent features. We show how multidimensional analysis provides a precision advantage over matrix SVD-based approaches and enables both accelerated compliance testing and more directed discovery of potentially critical software weaknesses. Utilizing high-performance tensor decomposition techniques provided by Reservoir’s ENSIGN Tensor Toolbox, Blackspot scales to millions of lines of code, making it practical for application to complex, large-scale cyber-physical systems. Using an open SCA radio waveform as a first example, we illustrate how Blackspot can be applied to guide inspection for SCA compliance testing and weakness discovery in the software radio domain.
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Cross-Format Analysis of Software Systems
September 15, 2015
In various implementations of a software analysis system, compliance checking is facilitated by analyzing different characteristics of a software system to be developed, and by comparing the information extracted from these analysis. Two or more characteristics may be expressed in different formats or languages, and the descriptions of one or more of these characteristic may be incomplete.
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Accelerating SCA Compliance Testing with Advanced Development Tools
March 1, 2015
In this paper, we explore the potential for combining model-based development environments supporting automatic code generation with novel static testing technology to accelerate the SCA compliance testing process. Model-based development and automated testing yield higher regularity and predictability, reducing testing complexity and sidestepping some issues for software intended for deployment on multiple hardware platforms.
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Bridging the Gap Between Specifications and Compliance Tests
January 1, 2013
This presentation was given at the 2013 Wireless Innovation Forum (WIF) annual meeting, describing how Reservoir's R-Check product meets needs of one of the top innovations needed for software radio, specifically that R-Check provides "the ability to certify software implementations of waveforms for use on various radio computing platforms promises to significantly reduce development costs and time to market of software based radio."
Article
The Benefits of Static Compliance Testing for SCA Next
November 10, 2011
The next generation of the Software Communications Architecture (SCA) specification (SCA Next) introduces several features that will affect the compliance certification process. Among the more significant and high-profile changes are the introduction of multiple supported platform models and support for both CORBA and non-CORBA transport layers. These features, which further abstract the specification away from a uniform hardware/software interface, make constructing an all-purpose dynamic testing platform more difficult.
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