Telecommunication technologies are changing at a very fast pace. As a result of the Internet's growth, new standards are being rapidly developed and vendors are quickly adopting those standards. Considering such a fast rate of change, interoperability across vendor equipment can become a concern. To address such a concern, techniques are presented herein that support an automated means of detecting an index that provides a "level of understanding" (i.e., an interoperability index) between two devices or routers. Aspects of the presented techniques encompass the recording of messages and unknown type-length-value (TLV) artifacts to a log; over the time, monitoring the frequency of messages and unknown TLVs that cannot be interpreted; developing statistics from same; and generating an interoperability index. Further aspects of the presented techniques employ data analysis, machine learning (ML), and artificial intelligence (AI) algorithms.
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Kumar, Praveen and Sood, Navdeep, "INTEROPERABILITY INDEX PREDICTION", Technical Disclosure Commons, (April 26, 2022)