Generating ChatOps Based Process Orchestration Flows

A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a data processing system, causes the data processing system to automatically generate an electronic form for an electronic messaging subsystem at least by:

• obtaining historical conversation logs from the electronic messaging system, wherein the historical conversation logs comprise a plurality of communication sequences;
• clustering communication sequences within the historical conversation logs according to similarity of features to thereby generate clusters of communication sequences;
• for each cluster in the clusters of communication sequences:
• identifying, within the cluster, sequences of normalized utterances that are repeated across communication sequences of the cluster;
• categorizing each sequence, in a set of the sequences of normalized utterances, as to whether the sequence can be represented as one or more electronic forms;
• and
• extracting, for each communication sequence in the cluster, attributes and corresponding attribute values;
• and
• generating, for at least one cluster, in response to at least one sequence of the at least one cluster being categorized as being able to be represented as one or more electronic forms, one or more electronic form data structures based on the attributes and corresponding attribute values extracted for each communication sequence in the at least one cluster.

An apparatus comprising:

• at least one processor;
• and
• at least one memory coupled to the at least one processor, wherein the at least one memory comprises instructions which, when executed by the at least one processor, cause the at least one processor to automatically generate an electronic form for an electronic messaging subsystem at least by:
• obtaining historical conversation logs from the electronic messaging system, wherein the historical conversation logs comprise a plurality of communication sequences;
• clustering communication sequences within the historical conversation logs according to similarity of features to thereby generate clusters of communication sequences;
• for each cluster in the clusters of communication sequences:
• identifying, within the cluster, sequences of normalized utterances that are repeated across communication sequences of the cluster;
• categorizing each sequence, in a set of the sequences of normalized utterances, as to whether the sequence can be represented as one or more electronic forms;
• and
• extracting, for each communication sequence in the cluster, attributes and corresponding attribute values;
• and
• generating, for at least one cluster, in response to at least one sequence of the at least one cluster being categorized as being able to be represented as one or more electronic forms, one or more electronic form data structures based on the attributes and corresponding attribute values extracted for each communication sequence in the at least one cluster.