Abstract: Methods and systems for code translation include generating metadata for input program code, including an intermediate representation of the input program code. A database of stored code samples is searched to select an example code sample based on similarity between metadata of the input program code and stored metadata of the stored code samples. A prompt is generated that includes the input program code, the example code sample, and a translation of the example code sample. The prompt is applied to a pre-trained language model to generate a translation of the input program code in a target programming language.

Abstract: A computer-implemented method, a computer system and a computer program product create a database of corrective actions from IT operations. The method includes obtaining a plurality of tickets from a server. A ticket in the plurality of tickets comprises text. The method also includes generating a plurality of clusters of tickets from the plurality of tickets using a machine learning clustering algorithm. In addition, the method includes identifying the corrective action in the text of the ticket using a natural language processing algorithm. The method further includes determining that the corrective action represents a successful action. lastly, the method includes storing the corrective action in the database of corrective actions, where the database associates the corrective action with the cluster of tickets.

Abstract: Systems, computer-implemented methods, and computer program products that facilitate synthetic system fault generation are provided. According to an embodiment, a system can comprise a processor that executes the following computer-executable components stored in a non-transitory computer readable medium: a generator component that employs a trained artificial intelligence (AI) model to generate a synthetic system fault, represented as a combination of discrete parameters and continuous parameters that define a system state; and a fault assembler component that analyzes the synthetic system fault and generates textual content corresponding to the synthetic system fault.

Abstract: Systems, computer-implemented methods, and computer program products that facilitate synthetic system fault generation are provided. According to an embodiment, a system can comprise a processor that executes the following computer-executable components stored in a non-transitory computer readable medium: a generator component that employs a trained artificial intelligence (AI) model to generate a synthetic system fault, represented as a combination of discrete parameters and continuous parameters that define a system state; and a fault assembler component that analyzes the synthetic system fault and generates textual content corresponding to the synthetic system fault.