Abstract
The present disclosure relates to methods and systems for optimizing a testing process for electricity, water, and gas meters. Conventional testing workflows suffer from inefficiencies such as excessive time consumption, susceptibility to human error, and lack of standardization. The disclosed approach overcomes these limitations by implementing risk-based test case prioritization, dynamic resource allocation, automation of repetitive test cases, parallel execution of test cases, and continuous monitoring with adaptive adjustments. The methodology employs analytical tools, including Pareto diagrams and risk matrices, to ensure systematic decision-making. This integrated framework delivers enhanced efficiency, reliability, and scalability, enabling accelerated product deployment and improved quality assurance for metering solutions.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Rojas, Osmara, "Optimization of the Testing Process for Electricity, Water, and Gas Meters", Technical Disclosure Commons, (March 25, 2026)
https://www.tdcommons.org/dpubs_series/9620