Oracle International Corporation

Shreyas Ravindranath

Satish Chandra Oruganti

Michael Patrick Rodgers

Ganesh Kumar Gupta

Techniques for configuring autosave triggers in a computing environment based on environment and data conditions are disclosed. A system trains a machine learning model based on data attributes and environmental attributes to generate autosave value triggers for a computing environment. The autosave value triggers are triggered by different conditions. For example, one autosave trigger may be triggered when an error condition is detected. Another may be triggered when a certain number of operations are performed. The machine learning model generates autosave trigger values scores for one or more autosave triggers. The system may implement the autosave triggers in the computing environment based on the autosave trigger values.

Configuring autosave triggers based on value metrics

A system receives real-time log messages from an executing process that experiences a runtime error. Information such as a filename and line number for the underlying source code may be embedded in the log messages using compiler macros. When the log messages are received, a developer URL may be generated that links a developer workstation directly to the underlying source code file and line number in a source code repository. A support URL may also be generated with a link to a support center and an embedded search string that retrieves resources that are known to address the process error.

Contextual drill back to source code and other resources from log data

A library uplift tool may automatically identify changes to elements of an between different versions of a software library interface. The public interfaces of the two versions may be compared to identify changes to datatypes, variable or function names, parameter names, parameter lists, and other elements of the library interface. Locations in application source code using the software library may then be identified and linked with the changes between the library versions. A report or user interface may then display specific locations in the application source code that are affected by the changes to the library versions. For each change, a suggested action may be presented in the interface, and an example of modified source code may be generated. The interface may be interactive such that modified source code may be automatically propagated to source code files for compatibility with the new library version.

Software library differential identification and automated uplift

An aspect of the present disclosure facilitates deployment of patches in computing systems. In an embodiment, specific objects of a software application that have been used for processing of commands are identified. A set of objects of the specific objects having patches available to be applied are then determined. The available patches may be retrieved and applied. As a result, patches may not be applied to objects that are not used. According to another aspect, usage data indicating usage of each object when the object is invoked for processing of corresponding command, is maintained. An administrator is also provided the ability to configure a set of rules indicating conditions under which existence of patches is to be checked for used objects, and the usage data is examined according to the set of rules.

Growing community of inventors

Bengaluru, India

Shreyas Ravindranath