Abstract: The release/delivery of software applications in a corporate setting is often a complex process chaining dozens of steps handled by a myriad of so-called DevOps tools. This process is known as a release or delivery pipeline. Embodiments of the invention provide a method and system of predicting the risk, status, and duration associated with the execution of such a release/delivery pipeline. Embodiments also provide an engine that predicts the probability of failure, as well as the status and duration of each individual pipeline step. One embodiment begins by obtaining all necessary data from a release orchestration tool, which contains the information of the structure, content, and any other custom specifications of a release/delivery pipeline. The data is transformed and encoded. The predictions are then calculated by comparing this data to a historic record of already executed release/delivery pipelines which were archived by the release orchestration tool.

Abstract: The release/delivery of software applications in a corporate setting is often a complex process chaining dozens of steps handled by a myriad of so-called DevOps tools. This process is known as a release or delivery pipeline. Embodiments of the invention provide a method and system of predicting the risk, status, and duration associated with the execution of such a release/delivery pipeline. Embodiments also provide an engine that predicts the probability of failure, as well as the status and duration of each individual pipeline step. One embodiment begins by obtaining all necessary data from a release orchestration tool, which contains the information of the structure, content, and any other custom specifications of a release/delivery pipeline. The data is transformed and encoded. The predictions are then calculated by comparing this data to a historic record of already executed release/delivery pipelines which were archived by the release orchestration tool.