62 results about "Defect tracking" patented technology

A generic testing framework to automatically allocate, install and verify a given version of a system under test, to exercise the system against a series of tests in a “hands-off” objective manner, and then to export information about the tests to one or more developer repositories (such as a query-able database, an email list, a developer web server, a source code version control system, a defect tracking system, or the like). The framework does not “care” or concern itself with the particular implementation language of the test as long as the test can issue directives via a command line or configuration file. During the automated testing of a given test suite having multiple tests, and after a particular test is run, the framework preferably generates an “image” of the system under test and makes that information available to developers, even while additional tests in the suite are being carried out. In this manner, the framework preserves the system “state” to facilitate concurrent or after-the-fact debugging. The framework also will re-install and verify a given version of the system between tests, which may be necessary in the event a given test is destructive or otherwise places the system in an unacceptable condition.

An automation infrastructure which automatically analyzes software faults and / or bugs related to a product defect is provided. More particularly, the system can automatically analyze and detect symptoms in the forms of crash dump, memory leak, corruption and test issues etc. In accordance therewith, aspects can automatically search for and locate existing defect reports, if such existing reports are available. Moreover, aspects can automatically report new defects in a defect tracking database or other tracking mechanism.

Systems, methods and articles of manufacture are disclosed for extracting portions of an abstract database for problem determination. An error may be detected when an application executes an abstract query against the abstract database. A portion of the abstract database may be extracted for problem determination. A defect entry may be created in a defect tracking tool, to store the extracted portion. One or more administrative users may be notified of the defect entry.

Systems and methods facilitate long-range, accurate fiducial tracking using a mixture of pan-tilt and camera devices enabling generalized 3D tracking of fiducials with the automatic mapping of flaw data to component models within standard CAD packages. The invention is suitable to many various tracking applications, particularly large inspection sites such as aircraft surfaces which require vast coverage with a medium-degree of accuracy. A method of surface inspection comprises the steps of moving a fiducial target over a surface under inspection, and tracking the fiducial as it is moved by capturing and storing the coordinates of the fiducial in a database for subsequent retrieval. Machine vision is used to acquire surface inspection data associated with the coordinates of the fiducial as it is moved. The inspection data is integrated into a CAD model, enabling the use of finite element analysis (FEA) to determine or predict flaw and material behavior over time.

A method and apparatus for detect defects of die casting parts are disclosed, By collecting pictures of die castings with defect features, the defect image is denoised, enhanced processing, The depthconvolution network Alexnet is trained with the defect pictures to classify the defect pictures, establish the corresponding semantic tags and store them in the defect feature database, track the defects of the die castings in real time. When the defects of the die castings are detected, the defects are fed back to the inspection device and the inspection data are counted to generate the defect inspection report of the die castings. The invention improves the defect detection efficiency and precision of the die casting, and has the advantages of high accuracy, high speed and good real-time performance, and can quickly and accurately find the defective die casting.

A routine for tagging and tracking source code may be implemented in a software development environment. The routine begins upon the identification of a defect in a software product or system. Once the defect has been identified and rectified, a search of other source code (typically located in a source code management system that supports version control) is specified. Using the search specification, the system automatically identifies the code snippet to be searched and begins searching the identified codebase for duplicates. A ticket or service record is then created for every duplicate / similar code snippet found during the search. The ticket / record enables software defect tracking to be carried out on the newly-located instances of the code. The system also automatically manages the code snippets identified by the duplicate detection.

The invention relates to a relay protection device software defect tracking management system and a method. The relay protection device software defect tracking management system comprises a defect case forming module, a defect tracking module, a service life period managing module and an automatic testing module, wherein the defect case forming module performs defect analysis according to scene accident situations and accident causes to form a complete defect case; the defect tracking module generates a test case according to the defect case; the automatic testing module performs test case testing to relevant versions of software and feeds back a test result to the defect tracking module; and the defect tracking module generates a software defect report according to the test result and provides corresponding improvement solutions of the software. According to the relay protection device software defect tracking management system and the method, when relay protection accidents occur on the site, software defect analysis is performed, the defect case and the automatic test case are formed, and whether defects of the software exist in historical versions is tested, so that qualities of the relay protection device software are improved, relay protection running reliability is improved, and safe and stable running of power grids is enhanced.

An apparatus, system, and method are disclosed for improved tracking of software item defects. The approach involves maintaining defect attributes for a particular software bug. Certain attributes are user-defined while others are derived. Attributes may be, for example, questions, requests for action, requests for approval, or others. The primary attributes and derived attributes for the bug are associated with users that are associated with the software bug, and a determination is made as to whether or not action is required by the individual users for the software bug using the attributes. If action is required, the user is alerted that action is required for the software bug. The actions and / or bugs may be presented to the user using an inbox format. The inbox may sort actions based on priority, what type of attribute is relevant to the user, or using other categorizations.

This disclosure describes, generally, methods and systems for implementing agile and dynamic help, defect tracking, and support frameworks for composite applications. The method includes implementing, on a computer system including a storage database, a composite application including a plurality of application components and establishing, in the computer system's storage database, a storage container for each of the plurality of application components. The storage containers are configured to store support information for each of the component applications. The method further includes storing, in the storage database, support data for each of the plurality of component applications, removing at least one of the plurality of component applications from the composite application, and maintaining, in the storage database, the support data for the remaining component applications of the composite application.

Systems, methods and articles of manufacture are disclosed for extracting portions of an abstract database for problem determination. An error may be detected when an application executes an abstract query against the abstract database. A portion of the abstract database may be extracted for problem determination. A defect entry may be created in a defect tracking tool, to store the extracted portion. One or more administrative users may be notified of the defect entry.

The invention discloses a project test defect analysis method, device and equipment and a storage medium. The method comprises the steps of receiving a project test request sent by a client, and analyzing a to-be-tested project and an interface call parameter contained in the project test request; calling a preset interface configured in a preset defect tracking tool according to the interface calling parameter, and obtaining all defect data of the to-be-tested project in the testing process through the preset interface; inputting all defect data into a preset defect analysis model, and receiving a defect analysis result output by the defect analysis model; and associatively storing the to-be-tested project and the defect analysis result in a database, and sending the defect analysis result to the client. According to the invention, the labor cost is saved, the defect data granularity is finer, and the data processing efficiency and the reliability of the defect analysis result are improved.

The invention provides a system and method for automated software testing based on Machine Learning (ML). The system automatically picks up results of the software test automation reports from software test automation framework. The report parser parses the failures from the report. A ML engine compares them with the failures that are known or present in the NoSQL database. After the creation of bug ticket in the defect-tracking tool, an automated notification system notifies the stakeholders via email or instant messaging about the status of the respective ticket. A feedback to the system by software test engineer helps to make the system learn or adjust the decision making to be more precise.