Evaluating probabilistically checkable proof in software update procedures and functional checks
Measurement: Sensors, ISSN: 2665-9174, Page: 101795
2025
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Legal metrology requires conformity assessment to ensure reliable and correct measuring instruments. Software updates and functional checks for measuring instruments are strictly regulated in many EU member states. To verify software conformity, researchers have explored various methods, including Probabilistically Checkable Proof (PCP). Our paper describes a virtualized testbed (VT) to realize the assessment of PCP systems in conformity assessment. The VT can explore and evaluate the complexities of mathematical proofs and their verifiability, paving the way for implementing these methods into legal metrology's conformity assessment and verification procedures.
Bibliographic Details
Elsevier BV
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