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 and methods for creating, editing and publishing cross-platform interactive digital content works include a content management component configured to store portions of a digital content work and to implement version control of the digital content work; a defect tracking component configured to store a defect record related to a stored portion of the digital content work; a publication pipeline component configured to format the digital content work for publication; and a integration component configured to present a graphical user interface which allows for editing the stored portions of the digital content work, editing the defect record, and instructing the publication pipeline to format the digital content work for publication.

An apparatus for processing data relating to software defects operates within an on-line analytical processing environment that includes an on-line analytical processing presentation tool (60). An on-line analytical processing cube model builder (32) builds a plurality of interrelated tables (22) with on-line analytical processing cube model metadata (30). The cube model (30) is configured to be processed by the associated on-line analytical processing presentation tool (60). A data extraction tool (36) communicates with a defect tracking database (10, 12) containing said data relating to software defects. The data extraction tool (36) extracts said data from the defect tracking database (10, 12), transforms the extracted data into the software defect entries, and loads the software defect entries into the tables (22).

The invention provides a welding seam film defect identification method and system. The method comprises the following steps: acquiring a welding seam film of a welding seam through a ray imaging technology; acquiring welding seam image texture characteristic data of the welding seam film by utilizing an image identification technology; establishing an identification model according to the weldingseam image texture characteristic data and a defect type of the welding seam film through a machine learning algorithm; acquiring welding seam image texture characteristic data of a welding seam filmto be detected; calculating a defect type of the welding seam film to be detected according to the welding seam image texture characteristic data of the welding seam film to be detected and the identification model. Therefore, the problem that the texture precision and the characteristic judgment of welding film welding are not accurate is effectively solved, the image edge detection and defect tracking and identification precision of a welding film is greatly improved and a foundation is laid for the development of a welding seam characteristic identification technology.

The invention discloses a defect correction device and a defect tracking method. The defect correction device, which already comprises an image pickup part for obtaining an image after one part of an object substrate is amplified and a defect correction part for correcting the object substrate according to the image obtained by the image pickup part, comprises a judging part for judging whether the defect in the image obtained by the image pickup part extends outside of the image, a tracking part for tracking the part extending outside of the image when the defect extends outside of the image, and a setting part for setting more than one correction regions to the defect in the image obtained by the image pickup part. After the tracking part tracks the image, the setting part sets more than one correction regions to the defect in the image obtained by the image pickup part.

The invention provides an intelligent software defect tracking management method based on mobile instant messaging software. The method includes the following steps that (1) software defect description messages are collected; (2) software defect reports are generated automatically; (3) the feature vectors of the software defect reports are generated; (4) the severity levels of the software defect reports are divided automatically; (5) the software defect reports are distributed automatically; (6) the software defect reports are positioned and repaired. By means of the intelligent software defect tracking management method, the problem that an existing software defect tracking management method cannot meet the development requirement of agile software is solved, the usability and the operation efficiency of software defect tracking management are greatly improved, the software testing work efficiency is improved, and therefore the product quality can be better controlled.

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 discloses a software defect prediction method based on two-stage wrapping-type feature selection, and belongs to the field of software quality assurance. The software defect prediction method comprises the following steps: (1) mining the version control system and the defect tracking system of a software project, extracting a program module from the version control system and the defect tracking system, and carrying out type marking and software measurement on the program module to generate a defect prediction data set D; (2) carrying out two-stage wrapping-type feature selection on the defect prediction data set so as to remove redundant features and irrelevant features in the data set D as many as possible, and finally, selecting an optimal feature subset FS' from an original feature set FS; and (3) on the basis of the optimal feature subset FS', preprocessing the data set D, forming a preprocessed data set D', and finally, constructing a defect prediction model in virtue of a decision tree which is a classification method. By use of the software defect prediction method, on one hand, the redundant features and the irrelevant features in the defect prediction data set can be effectively identified and removed, on the other hand, a class imbalance problem in the defect prediction data set can be effectively alleviated, and finally, the performance of the defect prediction model can be effectively improved.

The invention provides a reliability test defect injection and control method of embedded software, which comprises the following steps of: arranging a defect management module and a communication scheduling module in a target machine of the tested embedded software, enabling a researcher to carry out defect injection and control on the tested embedded software through a test platform, carrying out defect tracking control and software function execution on a synchronous basis in parallel, adopting different channels for the defect tracking control and the software function execution and generating no conflict among data. The reliability test defect injection and control method of the embedded software has the beneficial effects that software defects can be user-defined according to the actual demands of subject research and test; the software defects of the tested embedded software can be set according to the demands of the researcher; and after the software failure occurs, defect numbers which cause the failure are reported, so that a plenty of time required by debugging and troubleshooting is saved, thereby the efficiency of software failure subject research can be improved, the controllability of the software failure is improved, and the more targeted research on the software reliability is realized.

The present invention relates to the technical field of substation monitoring and discloses a substation centralized monitoring visualization system and a use method thereof. The system comprises an on-line monitoring platform, a daily work unit, a monitoring permission management unit, a monitoring information disposal management unit and a monitoring information access acceptance unit. The dailywork unit, the monitoring permission management unit, the monitoring information disposal management unit and the monitoring information access acceptance unit are in communication connection with the online monitoring platform. According to the system, the data interaction with the online monitoring platform is realized, the system is installed in a monitoring host machine, monitoring personnelare effectively guided to carry out daily work, the monitoring personnel's ability of monitoring information processing, monitoring defect analysis, defect tracking and the like is enhanced, and the work efficiency is improved.

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.

The invention relates to a management system of high temperature and high pressure pipeline detection data of a thermal power plant and an application method thereof and especially relates to the tracking management of detection data of a pipeline bearing a high temperature and high pressure medium in the thermal power plant. The system comprises a pipeline detection data module, a standard specification module, a defect management module and a data query module. The pipeline detection data module, the standard specification module, the defect management module and the data query module are sequentially connected. By inputting the detection data into the system and uploading a detection report, the permanent storage and rapid retrieval, inspection and output of the detection data and the detection report are achieved. The automatic comparison and tracking of the detection data of each component are achieved, the detection time interval management, the component defect tracking management and the tracking management of the organization and performance degradation of a high temperature and high pressure pipeline material are carried out according to a standard specification, and thesystematic, informationalized and the accurate management level of the detection data of a thermal power plant high temperature and high pressure pipeline, connection welds thereof and pipeline supports thereof is effectively improved.

The invention discloses a method and system for automatically reporting software defects, wherein, the method comprises the following steps: according to a software test function and a test platform used, a software test case is compiled; fault test information with location identification is added to software test cases; the test case is automatically run for software testing and a test log is generated when software failure occurs, wherein the test log contains fault diagnosis information with a positioning mark; the fault diagnosis information in the test log is extracted, and software defects are formed and reported to the defect tracking system. The invention adds fault test information with positioning mark to test case, and during the testing process, the fault diagnosis informationwith a positioning mark is generated and reported to the defect tracking system, so that there is no need to set up various bug templates in advance, the manual intervention in the later testing period is reduced, the automation degree of the continuous integration platform is improved, and the whole testing, analysis and reporting process is easy to expand and has high flexibility.

The invention discloses a defect location method based on text subject analysis of defect reports. The defect location method based on the text subject analysis of the defect reports comprises the steps that to solve the problem that the defect reports bring serious burdens to developers, the text analysis is conducted on solved defect reports in a defect tracking management system, a correlation between the defect reports and repairing codes is obtained, and unsolved defect reports are analyzed with the correlation, possible source code file lists to be repaired of new defect reports are provided for the developers, and therefore the maintenance efficiency of a software project is improved. On the basis of a supervised type text subject model Labeled-LDA (LLDA), a modified model of Label to Substrings (L2SS) is put forward. Experiments on an open source project Eclipse data set show that the defect location method based on the L2SS model has higher predictive effect than that of a traditional text subject model.