Tata Consultancy Services Limited

Subhrojyoti Roy Chaudhuri

Puneet Patwari

Swaminathan Natarajan

Rahul Ramesh Kelkar

Harrick Mayank Vin

Amar Banerjee

Amrish Shashikant Pathak

Jyothi Lolla

Arpan Pal

Balamuralidhar Purushothaman

Arijit Mukherjee

Chayan Sarkar

Sounak Dey

Ajay Kattepur

Adwait Inamdar

Barnali Basak

Goldsmith Murali Krishna

Amar Satyabroto Banerjee

This disclosure relates generally to a system and method for auto-generation of test specifications from internet of things (IoT) solution specifications of IoT-enabled components of an IoT network. Testing is the complementary and most important part of any IoT network. Herein, a domain specific language (DSL) is used to specify capability of IoT enabled components. IoT solution specifications are captured from capabilities of IoT enabled components using a predefined activity DSL. A flow of activity is captured to assert transitions among one or more activities based on guard conditions. The flow of activity is analyzed to generate test specifications automatically using a Test Specification DSL based on the asserted transitions. The test specifications are implemented automatically in a predefined target language corresponding to the IoT enabled components.

Knowledge centric approach to auto-generate test specifications for IoT solutions

Identification of changes in functional and runtime behavior of a system during maintenance cycles. The traditional methods provide for viewing the problem of change identification de-coupled from system design, thus making the process further human dependent and increasing the time and probability of errors. Embodiment of the present disclosure provide for identification of changes in the functional behavior and the runtime behavior of the system by acquiring, a design comprising of structures and behaviors of the system, generating a design model and a set of implementation codes based upon the design, updating the set of implementation codes with log statements, constructing a design model based upon log files, constructing an operations model based upon the design model and comparing the operations model and a design table, to identify changes in the functional behavior and the runtime behavior of the system using an operations verification component.

Identification of changes in functional behavior and runtime behavior of a system during maintenance cycles

Systems and methods for generating control system solutions for robotics environments is provided. The traditional systems and methods provide robotics solutions but specialized to only a particular robotic application, domain, and selected structure. The embodiments of the proposed disclosure provide for generating one or more control system solutions for a plurality of robotics environment by acquiring a robotics domain knowledge corresponding to the plurality of robotics environments; extracting one or more solution specifications based upon the robotics domain knowledge; translating the one or more solution specifications into one or more design solutions; generating, the one or more control system solutions for the plurality of robotics environments; and optimizing the one or more control system solutions generated by performing, based upon a set of task execution logs executed, a close loop verification to validate a plurality of commands and a plurality of state transitions executing in the plurality of robotics environments.

Systems and methods for generating control system solutions for robotics environments

A method and system is provided for building domain intelligent solution. The present application provides a method and system for building a domain intelligent solution, comprises of utilizing a language existing as a generic model for capturing intrinsic knowledge pertaining to a technical domain; creating a domain intelligent solution for said technical domain using said language or vocabulary; translating the domain intelligent solution into required wrappers for them to be integrated with a third party technology or tool; and integrating said created domain intelligent solution with the third party technology or tool for providing system engineering capabilities to make them domain intelligent.

Method and system for building domain intelligent solution

Engineering environments are provided with standard language. The standard language does not incorporate domain specific vocabulary for different domains. The present invention discloses a method and system for creating domain specific language. The method includes receiving information for a technical problem. Further, creating one or more domain specific concepts based on the information. Further, the method facilitates selection of a design pattern. Subsequently, mapping the domain specific concept to the selected design specific concept to create one or more domain meta-model. Each element of the domain meta-model is translated to create keywords that form the grammar for the domain specific language.

System and method for creating domain specific language

System(s) and method(s) for facilitating design configuration of data center to provide management of the data center is disclosed. Input parameters providing design and operational requirements are received. Based on the input parameters, objectives are determined. The objectives refer to one or more technical requirements with respect to plurality of phases associated with the life cycle of the data center. The objectives are then used to create a generic configuration with respect to one or more services associated with the life cycle. The generic configuration is mapped with a predefined set of configuration stored in a knowledge repository in order to obtain a technology specific format. The generic configuration is further used to design a tool specific configuration to provide management of each phase of the life cycle of the data center.

System and method for facilitating design configuration and management of data center

Systems and methods for generating and implementing monitoring solutions for a computing-based infrastructure are described. In one implementation, at least one monitoring objective is obtained, wherein the monitoring objectives are based on service related requirements associated with one or more computing systems within the computing-based infrastructure. Once the monitoring objectives are obtained, a plurality of monitoring elements are received, wherein the monitoring elements include attributes associated with the one or more systems. Based on the monitoring objectives and the monitoring elements, a monitoring solution is generated.

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Pune, India

Subhrojyoti Roy Chaudhuri