Abstract: The invention relates to method and system for providing visual explanations for image analytics decisions. The method includes extracting a set of local features from each of a plurality of image instances using a deep learning (DL) model; determining a feature list by aggregating the set of local features from each of the plurality of image instances; generating a two-dimensional (2D) pixel map based on the feature list; superimposing the 2D pixel map of aggregated features on each of the plurality of image instances; and providing a visual explanation for an image analytics decision on one or more of the plurality of image instances based on superimposition.

Abstract: The disclosure relates to method and system recommending tuning of parameters to generate a data analytics model. The method includes identifying at a data pre-processing stage a pre-processing subset from an associated set of predefined pre-processing methods for a predefined objective. The method includes identifying at a feature selection stage a feature subset from an associated set of predefined feature selection methods for the predefined objective. The method includes identifying at a model training stage a training subset from an associated set of predefined model training methods for the predefined objective. The method further includes generating a plurality of data analytics tuples and selecting a data analytics tuple from the plurality of data analytics tuples. An output result of the data analytics tuple includes highest ranked results for the predefined objective.

Abstract: The embodiments herein relate to operational data analysis (ODA) and, more particularly to automate operational data analysis and generate the analysis report for various products using a web-based multi-tenant product intelligence framework. The system allows the user to configure a data collection process, define schema structure, select a data storage for storing the collected data, select or create a data formatting algorithm, and generate a data report to perform the ODA process. Based on the ODA report, appropriate decisions can be taken by an organization.

Abstract: The embodiments herein relate to operational data analysis (ODA) and, more particularly to automate operational data analysis and generate the analysis report for various products using a web-based multi-tenant product intelligence framework. The system allows the user to configure a data collection process, define schema structure, select a data storage for storing the collected data, select or create a data formatting algorithm, and generate a data report to perform the ODA process. Based on the ODA report, appropriate decisions can be taken by an organization.

Abstract: Defect classification and association in a software development environment. The embodiments herein relates to a software development environment, and more particularly to managing defects in a software development environment. The defect management engine may use information present in the code repository to create a master list of features and/or sub-features. Using the master list, the defect management engine may scan and parse all reported defects (which may be present in the defect repository). The defect management engine may associate defects with features present in the master list. The defect management engine may then extract the test cases and map the test cases to the defects. The defect management engine may determine the test coverage metric and the test case sufficiency metric. The defect management engine may also label unmapped defects as orphan defects.

Abstract: Disclosed is a system for providing semantics based technical support to a user. A keyword extraction module extracts a set of keywords from a plurality of knowledge content and a plurality of bug content. A matrix generation module generates a keyword-content matrix comprising a similarity score computed for each keyword corresponding to each knowledge content. The matrix generation module further decomposes the keyword-content matrix into one or more sub-matrices. A vector coordinates identification module determines a first set of vector coordinates for each knowledge content of the plurality of knowledge content and a second set of vector coordinates for a bug-query received from a user in real-time. A similarity measure module computes a cosine similarity measure of the bug-query with each knowledge content to identify at least one knowledge content relevant to the bug-query. The knowledge identification module further provides the at least one knowledge content to the user.

Abstract: The present disclosure relates to system(s) and method(s) for detecting change in software code of elements in a current version associated with a software application as compared to a reference version of the software application. The system and method further determines whether the change in the software code of the elements is a functional change or a non-functional change. The system and method also provides an optimized test suite for testing the current version of the software application, in order to test the elements with functional change, in the current version.

Abstract: Disclosed is a system for providing semantics based technical support to a user. A keyword extraction module extracts a set of keywords from a plurality of knowledge content and a plurality of bug content. A matrix generation module generates a keyword-content matrix comprising a similarity score computed for each keyword corresponding to each knowledge content. The matrix generation module further decomposes the keyword-content matrix into one or more sub-matrices. A vector coordinates identification module determines a first set of vector coordinates for each knowledge content of the plurality of knowledge content and a second set of vector coordinates for a bug-query received from a user in real-time. A similarity measure module computes a cosine similarity measure of the bug-query with each knowledge content to identify at least one knowledge content relevant to the bug-query. The knowledge identification module further provides the at least one knowledge content to the user.

Abstract: Disclosed herein are a method and a system for software defect positioning. The system collects at least one type of information with respect to the defect and analyzes the collected input to select a suitable mode of defect positioning procedure. The defect positioning procedures used by the system identify defect location/position based on history data. After identifying the location of the defect, the system communicates the identified defect location/position to a user using a suitable output interface.

Abstract: Disclosed herein are a system and a method for automated test suite optimization and recommendation, based on historical data, using randomized evolutionary techniques. The system analyzes historical data pertaining to file change pattern and test case execution history to identify test cases that match application being tested. Further, based on the test cases identified, the system generates optimized test suite recommendations to the user.

Abstract: Disclosed is a method and system for provisioning a device over an Internet of Things (IoT) platform for establishing a bidirectional communication between the device and a system (IoT server). The system may identify a device based on device identification (ID) of the device. The system may further determine whether the device is communicating with the system for the first time or has previously communicated with the system. The system may automatically generate a username and a password for the device for authenticating the user. Post generating the username and the password, the system may transmit the username and the password to the device and an external device. Further, the external device may provide a connection between the device and other devices connected over the IoT based on the username and the password. The device may also create a buddy list by storing the usernames of the other devices.

Abstract: The invention relates to a method and system for data centre infrastructure management and, more particularly, to analyze and deploy interrelated objects in a virtual data centre at virtual deployment level. The present system monitors and identifies different elements of source virtual deployment such as configuration data, settings and so on which are scattered at different levels. Further, the system performs analysis based on various parameters such as virtual deployment performance data, past history data, future requirement and policy based data in order to identify best suitable target virtual data centre. After identifying best suited target virtual data centre, system triggers a redeployment request. Finally, system performs the redeployment of source virtual deployment to identified target virtual data centre.

Abstract: Disclosed herein are a system and a method for automated test suite optimization and recommendation, based on historical data, using randomized evolutionary techniques. The system analyzes historical data pertaining to file change pattern and test case execution history to identify test cases that match application being tested. Further, based on the test cases identified, the system generates optimized test suite recommendations to the user.

Abstract: Defect classification and association in a software development environment. The embodiments herein relates to a software development environment, and more particularly to managing defects in a software development environment. The defect management engine may use information present in the code repository to create a master list of features and/or sub-features. Using the master list, the defect management engine may scan and parse all reported defects (which may be present in the defect repository The defect management engine may associate defects with features present in the master list. The defect management engine may then extract the test cases and map the test cases to the defects. The defect management engine may determine the test coverage metric and the test case sufficiency metric. The defect management engine may also label unmapped defects as orphan defects.

Abstract: A method and system for providing semantics based technical support. The embodiments herein relates to providing semantics based technical support, and more particularly to providing semantics based technical support based on available knowledge sources and similarity of technical support issues. Embodiments disclosed herein provide users with requisite information in real time while an issue is being reported.

Abstract: Disclosed herein are a method and a system for software defect positioning. The system collects at least one type of information with respect to the defect and analyzes the collected input to select a suitable mode of defect positioning procedure. The defect positioning procedures used by the system identify defect location/position based on history data. After identifying the location of the defect, the system communicates the identified defect location/position to a user using a suitable output interface.

Abstract: A method and system for migration of multi-tier virtual application across different clouds hypervisor platforms. The principal object of the embodiment is to provide migration of multi-tier virtual application from one vendor to another vendor cloud platforms. Another object of the embodiment is to convert entire multi-tier virtual application of a source vendor cloud platforms, along with the virtual machines, configuration and properties into a format suitable for a destination vendor cloud platforms. Another object of the embodiment is to verify the migrated application after completion of conversion and migration.

Abstract: Embodiments herein provide a method and system to create an optimized test suite for software testing. This system fetches required input parameters such as risk parameters, release type of the application, requirement details, test case details, requirement to test case relation and so on automatically using any suitable tool. Then, first level optimized test suite is formed by removing redundant and obsolete test cases from test case set. Further, probability of failure is calculated for each test case either manually or through automation and risk index value for each test case is defined. Further, test cases are classified based on value of risk index obtained. Further, second level optimized test suite is formed by using orthogonal array methodology. Furthermore, final optimized test suite with greater precision is prepared by considering execution time of iteration of all test cases along with their risk index values.

Abstract: A method and system for migration of multi-tier virtual application across different clouds hypervisor platforms. The principal object of the embodiment is to provide migration of multi-tier virtual application from one vendor to another vendor cloud platforms. Another object of the embodiment is to convert entire multi-tier virtual application of a source vendor cloud platforms, along with the virtual machines, configuration and properties into a format suitable for a destination vendor cloud platforms. Another object of the embodiment is to verify the migrated application after completion of conversion and migration.