International Business Machines Corporation

Sivaraj Sethunamasivayam

Sivaranjani Kathirvel

Santanu Chakrabarty

Shoaib Khan

Greeshma Vidyadharan Thottingal

Pulkit Agarwal

Priya Swamidass

Sajesh Sudhakaran

Greeshma Thottingal

Gowtham Kuppusamy

Sushmitha Rajendran

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 computer-implemented method, system and computer program product for automatically generating one or more test scripts for at least one software application based on one or more business documents, by: analyzing the business documents to identify one or more screens, including one or more fields on the screens, defined therein; and automatically generating the test scripts for the software application, wherein the test scripts are used to validate the screens, including the fields on the screens, as defined in the business documents.

Automated test script generator

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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Bengaluru, India

Sivaraj Sethunamasivayam