CPSLint is a new DSL that automates detection and correction of common data corruption patterns in industrial CPS time-series data while enabling non-programmers to prepare datasets for analysis.
Giner-Miguelez, A
2 Pith papers cite this work. Polarity classification is still indexing.
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CPSLint is a publicly available DSL that lets users express data sanitization for CPS time-series collections in a few lines of code, improving readability and maintainability over custom scripts.
citing papers explorer
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CPSLint: A Domain-Specific Language Providing Data Validation and Sanitisation for Industrial Cyber-Physical Systems
CPSLint is a new DSL that automates detection and correction of common data corruption patterns in industrial CPS time-series data while enabling non-programmers to prepare datasets for analysis.
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Implementing CPSLint: A Data Validation and Sanitisation Tool for Industrial Cyber-Physical Systems
CPSLint is a publicly available DSL that lets users express data sanitization for CPS time-series collections in a few lines of code, improving readability and maintainability over custom scripts.