International Business Machines Corporation

Balakrishnan Sreenivasan

Harish Bharti

Rajesh Kumar Saxena

Sandeep Sukhija

Abhay Kumar Patra

Pranshu Tiwari

Saurabh Trehan

Ashutosh Kumar

Sanjay Kumar Prasad

Shweta Jain

Divakar R Mysore

Vaibhav Mayuresh Shah

Joydeep Banerjee

Renny I John

Srinivas G Kulkarni

Raghava Venkat

A method includes using, by one or more processors of a computer system, a cognitive model to estimate software development parameters for a software development project based on one or more similar past projects, and automatically assigning, by the one or more processors of the computer system, story points to sprints of the software development project based on the estimated software development parameters.

Cognitive model for software development

A computer identifies, within a hierarchical database, data elements associated with a selected function associated with the database, comprising. The computer identifies at least one function associated with a hierarchical database containing data elements. The computer, in response to identifying the function, identifies within a list of indica, at least one reference indicia corresponding to the at least one function. The computer identifies within a monolithic application relevant code elements associated with the reference indicia. The computer generates an activity log associated with execution of the relevant code elements. The computer identifies, within the activity log, a group of data elements associated with the execution of the relevant code elements. The computer generates a group data element clusters using a Machine Learning algorithm. The computer identifies at least one of the group of data element clusters as relevant to the at least one function.

Cognitive analysis of hierarchical database elements for generation of microservices

Methods, computer program products, and systems are presented. The methods include, for instance: obtaining domain data sources on a monolith database operating in a subject domain. Entities and relations of the monolith database are identified. By decomposing the entities of the monolith database for key entities in the subject domain, entities for a distributed database that is functionally equivalent to the monolith database are identified. Transactions performed on the monolith database and the entities of the distributed database involved therein are identified and the transactions are decomposed for the distributed database. Silhouette clustering on the distributed database regarding aspects of performance, scalability, and availability that improves the aspects of the distributed database over the monolith database is performed and the distributed database is checked for eventual consistency amongst the distributed database and one or more replicas of the distributed database before deployed to replace the monolith database.

Monolith database to distributed database transformation

Automatically generating a container image assembly file is provided. A definition of an application is assessed to determine a base container image and application libraries needed as add-ons for a container image corresponding to the application. A library dependency graph of flow from the base container image to add-on libraries for the application is generated. The container image assembly file is generated based on the library dependency graph of flow from the base container image to the add-on libraries for the application. Vulnerabilities corresponding to the add-on libraries of the container image assembly file are removed.

Automated container image assembly

A method and system for improving an operation of an automated IT system is provided. The method includes identifying software applications associated with requirements of processes executed by a hardware device with respect to an IT system. An ordered set of software solutions for modifying the software applications is generated. Sampling software code is generated by applying a sampling technique for enabling the hardware device to execute learning software code with respect to database systems. The sampling software code is executed for enabling an automated learning process applying a feature learning technique for identifying a set of software applications and enabling an evaluation of the software applications with respect to organizational parameters for identifying an organizational fitness for the set of software applications. A software application and associated feature are identified and the software application is executed resulting in improved operation of the hardware device.

Hardware device based software selection

A method and system for improving an operation of an automated IT system is provided. The method includes identifying a minimum set of software applications associated with requirements of processes executed by a hardware device with respect to an IT system. A list of sub-features associated with software based solutions is generated and associated evaluation code is generated. Software features are identified and software operational solutions are generated. Gating criteria adjustment code for selecting additional software applications is generated and executed resulting in improved operation of the hardware device.

Hardware device based software generation

A method and system for improving an operation of an automated IT system is provided. The method includes identifying pre-tested software applications associated with requirements of processes executed by a hardware device with respect to an IT system. A list of available software applications associated with required features is generated and each feature is defined such that the currently available software applications are configured to provide and execute the required features. Evaluation code is executed and a resulting a list of validated software applications is generated. A list of short listed software applications and identification software code enabling an automated encoder learning process are generated. A software operational solution is identified and modification code is generated and executed resulting in improved operation of the validated software applications and the hardware device.

Hardware device based software verification

A method and system for improving an operation of an automated IT system is provided. The method includes identifying pre-tested software applications associated with requirements of processes executed by a hardware device with respect to an IT system. A list of available software applications associated with required features is generated and each feature is defined such that the currently available software applications are configured to provide and execute the required features. Evaluation code is executed and a resulting a list of validated software applications is generated. A list of short listed software applications and identification software code enabling an automated encoder learning process are generated. A software operational solution is identified and modification code is generated and executed code resulting in improved operation of the validated software applications and the hardware device.

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Bengaluru, India

Balakrishnan Sreenivasan