Artificial-intelligence-based error resolution in integration processes

A system comprising:

• at least one hardware processor;
• and
• software that is configured to, when executed by the at least one hardware processor,
• during a building phase,
• collect historical integration data from a plurality of integration platforms managed through an integration platform as a service (iPaaS) platform, wherein the historical integration data comprise, for each of a plurality of integration processes, a development history of that integration process including at least one failed configuration of that integration process and at least one successful configuration of that integration process, and wherein each of the at least one failed configuration and the at least one successful configuration of each of the plurality of integration processes comprises at least one lineage including a sequence of steps,
• generate a dataset comprising a representation of the lineage of the at least one failed configuration for each of the plurality of integration processes, wherein each of the representations of the lineages is associated with an error resolution comprising a transformation between the at least one failed configuration and the at least one successful configuration for a respective one of the plurality of integration processes, and
• based on the dataset, build an error resolution model that receives a representation of a lineage as an input and produces a predicted error resolution as an output, and
• during an operation phase,
• generate a graphical user interface comprising one or more inputs for constructing an integration process,
• receive a lineage including a sequence of steps from a user via the graphical user interface, and
• in response to a trigger, apply the error resolution model to the received lineage to produce the predicted error resolution for the received lineage.

A non-transitory computer-readable medium having instructions stored therein, wherein the instructions, when executed by a processor, cause the processor to:

• during a building phase,
• collect historical integration data from a plurality of integration platforms managed through an integration platform as a service (iPaaS) platform, wherein the historical integration data comprise, for each of a plurality of integration processes, a development history of that integration process including at least one failed configuration of that integration process and at least one successful configuration of that integration process, and wherein each of the at least one failed configuration and the at least one successful configuration of each of the plurality of integration processes comprises at least one lineage including a sequence of steps,
• generate a dataset comprising a representation of the lineage of the at least one failed configuration for each of the plurality of integration processes, wherein each of the representations of the lineages is associated with an error resolution comprising a transformation between the at least one failed configuration and the at least one successful configuration for a respective one of the plurality of integration processes, and based on the dataset, build an error resolution model that receives a representation of a lineage as an input and produces a predicted error resolution as an output;
• and
• during an operation phase,
• generate a graphical user interface comprising one or more inputs for constructing an integration process,
• receive a lineage including a sequence of steps from a user via the graphical user interface, and
• in response to a trigger, apply the error resolution model to the received lineage to produce the predicted error resolution for the received lineage.