Abstract: In product testing, a script prioritization tool (102) is used to intelligently prioritize the execution sequence of test scripts. This tool creates a repository of test outputs from the executions of test scripts and analyzes the outputs to train and deploy a machine learning, ML, model that defines the priority of the scripts that may need to be executed and the scripts whose execution may be skipped without affecting the quality of testing. Scripts that are more likely to fail and/or are time consuming to execute are prioritized, while other scripts may be skipped. The ML model ranks the scripts based on the average execution time of the script, a count of the execution failures of the script, a count of the number of execution retries for the script, and the most recent failure time of the script. The scripts can be executed based on their rankings for efficiency and time-saving.

Abstract: In product testing, a script prioritization tool (102) is used to intelligently prioritize the execution sequence of test scripts. This tool creates a repository of test outputs from the executions of test scripts and analyzes the outputs to train and deploy a machine learning, ML, model that defines the priority of the scripts that may need to be executed and the scripts whose execution may be skipped without affecting the quality of testing. Scripts that are more likely to fail and/or are time consuming to execute are prioritized, while other scripts may be skipped. The ML model ranks the scripts based on the average execution time of the script, a count of the execution failures of the script, a count of the number of execution retries for the script, and the most recent failure time of the script. The scripts can be executed based on their rankings for efficiency and time-saving.

Abstract: Methods, apparatus, and processor-readable storage media for centralized transaction tracking using multi-blockchain technology are provided herein. An example computer-implemented method includes obtaining one or more messages communicated between two or more applications that are part of a message-based transaction architecture; and for each given one of said messages: identifying a key identifier value of said given message; determining a message type of said given message from among a set of message types; selecting, based on a predetermined mapping between the set of message types and a set of hash functions, the hash function that is mapped to the message type of said given message; and storing the given message in one of a plurality of blockchains based at least in part on the selected hash function and the determined key identifier value.

Abstract: Methods, apparatus, and processor-readable storage media for centralized transaction tracking using multi-blockchain technology are provided herein. An example computer-implemented method includes obtaining one or more messages communicated between two or more applications that are part of a message-based transaction architecture; and for each given one of said messages: identifying a key identifier value of said given message; determining a message type of said given message from among a set of message types; selecting, based on a predetermined mapping between the set of message types and a set of hash functions, the hash function that is mapped to the message type of said given message; and storing the given message in one of a plurality of blockchains based at least in part on the selected hash function and the determined key identifier value.