Salesforce Com, Inc.

Salesforce, Inc.

Ganeswara Rao Dulam

Yingbo Zhou

Govardana Sachithanandam Ramachandran

Hari Krishna Pottabathula

Susan Putvin

Madhuri Gore

Embodiments described herein provide regression testing using artificial intelligence. A regression testing network model for a first plurality of organizations using a common codebase is provided. The regression testing network model provides an organization finite state machine (FSM) model for each organization. A first dataset including samples of the organization FSM models based on regression testing for one or more previous releases of the common codebase prior to a first release of the common codebase is received. A training dataset is generated based on the first dataset. The regression testing network model using the training dataset. A second plurality of organizations for regression testing for the first release is determined, from the first plurality of organizations, using the trained regression testing network model.

Systems and methods for regression testing using artificial intelligence

Homogeneous clusters are generated from a first plurality of documents for generation of regular expressions. Documents that share similar characteristics are clustered, and for each cluster, features are generated for use by a homogeneity model to determine a homogeneity score for the cluster. Clusters determined to be homogenous are sent to a regular expression generator.

Identifying homogenous clusters

Regular expressions are generated automatically by receiving documents, clustering the documents, and selecting tokens from the documents which occur in each document in the cluster, and generating a regular expression for each cluster of documents using the selected tokens.

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Vancouver, Canada

Ganeswara Rao Dulam