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: 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 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.