International Business Machines Corporation

Sivaranjani Kathirvel

Santanu Chakrabarty

Sivaraj Sethunamasivayam

Shunmugaraja Periadurai

Shoaib Khan

Sriharidatta Sriharidatta

Abhishek Shetty Balakrishna

Greeshma Vidyadharan Thottingal

Pulkit Agarwal

Refactoring a monolithic computer application can include transforming textual input into context-aware tokens represented by machine-processable data structures, the textual input acquired from text associated with a computer application having a monolithic architecture for implementing one or more application processes. Based on co-occurrence frequencies among the context aware tokens, one or more groupings of context-aware tokens can be determined. An association between each grouping and a code construct can be determined. Invocation sequences based on time series analyses of computer-generated usage data generated in response to execution of the one or more application processes can be generated, each invocation sequence linking two or more code constructs based on a time series analysis linking groupings that correspond to the linked code constructs. A recommendation for refactoring the computer application into a plurality of microservices can be generated, each microservice corresponding to one or more invocation sequences.

Monolithic computer application refactoring

Refactoring a monolithic computer application can include transforming textual input into context-aware tokens represented by machine-processable data structures, the textual input acquired from multiple sources of text associated with a computer application having a monolithic architecture for implementing one or more application processes. Based on co-occurrence frequencies among the context aware tokens, one or more groupings of context-aware tokens can be determined. An association between each grouping and a code construct can be determined. Invocation sequences based on time series analyses of computer-generated usage data generated in response to execution of the one or more application processes can be generated, each invocation sequence linking two or more code constructs based on a time series analysis linking groupings that correspond to the linked code constructs. A recommendation for refactoring the computer application into a plurality of microservices can be generated, each microservice corresponding to one or more invocation sequences.

A method, system and computer program product for improving collaboration among participants in a collaboration system. In one embodiment of the present invention, a system, referred to herein as the 'integration system,' connected to a collaboration system monitors for comments or updates pertaining to a work item involving a customer problem to be resolved by different participants of the collaboration system. These comments or updates for completing the work item are analyzed. After analyzing the comments or updates, strategies are derived for completing the work item based on the analysis of the comments or updates as well as based on stored data of previously resolved work items. The derived strategies are then presented to the appropriate participant(s) to resolve the work item, such as based on the roles of the participant(s) that would most effectively and efficiently perform the strategy.

Providing suitable strategies to resolve work items to participants of collaboration system

In creating recommendations for software upgrades in a computing system, a natural language processing module of a software upgrade analyzer system receives risk analysis reports and a corresponding current application source code. The natural language processing module processes the risk analysis report and the current application source code to identify an application programming interface (API) key set containing key terms. A support vector machine of the software upgrade analyzer system identifies key terms in the API key set. An association rule mining module of the software upgrade analyzer system calculates a support factor and a confidence factor for each key term combination of the key terms. The association rule mining module identifies a highest ranking key term combination based on the confidence factor for each key term combination. The software upgrade analyzer system outputs the highest ranking key term combination as a software upgrade recommendation.

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Dharapuram TK, India

Sivaranjani Kathirvel