122 results about "Test document" patented technology

A method and system for automatically refining information extraction (IE) rules. A provenance graph for IE rules on a set of test documents is determined. The provenance graph indicates a sequence of evaluations of the IE rules that generates an output of each operator of the IE rules. Based on the provenance graph, high-level rule changes (HLCs) of the IE rules are determined. Low-level rule changes (LLCs) of the IE rules are determined to specify how to implement the HLCs. Each LLC specifies changing an operator's structure or inserting a new operator in between two operators. Based on how the LLCs affect the IE rules and previously received correct results of applying the rules on the test documents, a ranked list of the LLCs is determined. The IE rules are refined based on the ranked list.

A system and process includes: a relational database that has a core database of global rules and project data, an item tracking database, a scanning and image management database, and a scoring database; an enterprise integrated application software program and computer network; and a web interface linking host operations and users; all of which is used for generating a production order and packing schedule of test documents from the rules and project data, for tracking production, packing, shipping, return shipping, and processing of actual test documents by using unique identifiers assigned to every document and monitoring and recording every movement of every document and appending all records of movement and other changes of condition to the original project data in the relational database, for scanning all documents into image form and storing and scoring the images, and for generating reports based on the scores and demographics of the testees.

The invention discloses a method for testing software based on a testing framework, which belongs to the field of software test. In the method, a basic testing framework is constructed for the same series of software to finish the test of the same series of software, and the problems existing in the field of software test that the testing quality is remarkably limited by sources, the testing efficiency is low and the testing quality can not be guaranteed are solved through the instantiation of the framework and the multiplexing of the framework during test. The basic testing framework is constructed from the following five aspects in cluding testing process, testing personnel, testing tool, testing component and testing document.

A system and method for optimizing the performance of a document ranker in a search engine. Weights are assigned to the document features considered by the document ranker. The weights are optimized to produce the highest possible relative ranking for a group of test documents in response to an associated group of search queries.

A system and method for accessing data to generate documents for use in MICR line testing. The system comprises a MICR testing station for testing MICR processing. The MICR testing station comprises a MICR line testing module for generating at least one MICR testing document for use in testing MICR processing. The MICR line testing module further comprises: (1) an application determination module for determining an application based on a bank selection provided by a tester, (2) a routing/transit number determination module for determining a routing/transit number based on the bank and the application determined, and (3) a tran code determination module for determining a tran code based on the routing/transit number determined; and at least one client station connected to the MICR testing station via a communications network, the at least one client station being used by at least one tester to provide particulars about at least one MICR line.

The present invention is directed to a system and method for a quality assurance tool generating test plans and identifying new test requirements for a new version of a product. Old versions of the product may be previously tested and test plan documents associated with previously tested versions of the product may be stored in a database. The database may store test plans, test configurations, test scopes, and the like for previously tested versions of the product. Product design requirements may be determined based on received customer desired features for the new version. The database may be updated by adding new tests for new features of the new version. A test plan document for the product may be generated based on the updated database. The generated test document may be verified through automatically generating a general test plan for the new version of the product by querying updated database with the product design requirements.

A method for developing a template of a reference document, such as a bank note and using that template to validate other test documents. The method involves using images of a plurality of reference documents, such as banknotes and segmenting each image in a like manner into a plurality of segments. Each segment is then classified using a one-class classifier to determine a reference classification parameter. These parameters are used to define a threshold reference classification parameter. Optionally, the step of segmenting is optimized to determine a preferred number of segments, and a preferred combination of these for use in a subsequent validation process. Preferably, this is done using a stochastic algorithm such as a genetic algorithm.

The present invention provides a method for determining the likelihood that an electronic document contains embedded malware. After parsing or sequencing an electronic document, the metadata structures that make up the document are analyzed. A number of pre-established rules are then applied with respect to certain metadata structures that are indicative of embedded malware. The application of these rules results in the generation of a score for the electronic document being tested for embedded malware. The score is then compared to a threshold value, where the threshold value was previously generated based on a statistical model relating to electronic documents having the same format as the document being tested. The result of the comparison can then be used to determine whether the document being tested is or is not likely to contain embedded malware.

The invention provides a text classification method based on correlation analysis and a KNN, and the text classification method is used for solving the problem that the efficiency and the accuracy of text classification method based on a traditional KNN need to be further improved. The text classification method is a strategic method, the fact that much coincidence of the characteristic attribute of a tested document and the characteristic attribute of neighbor documents exists is taken into consideration, according to the text classification method based on correlation analysis and the KNN, based on results obtained after correlation analysis is conducted on all classes of documents, a neighbor number k which is suitable for a document of an unknown class is quickly determined, k neighborhoods are selected from documents of unknown classes, therefore, the class of the unknown document is determined according to the classes of the neighborhoods, the defects that according to the text classification method based on the traditional KNN, the value of k is difficult to determine and the time complexity is high are overcome, and the efficiency and the accuracy of text classification are improved.

A solution (200) for facilitating the test of a command line interface (CLI) of a software product is proposed. For this purpose, the process is divided into two phases. The first phase relates to the generation of a scenarios matrix (235). This result is achieved by defining each command of the CLI (205-215), and more specifically its arguments and the corresponding properties (such as their acceptable ranges, patterns and/or option choices); the test activity is defined by specifying a desired accuracy level (230) of the test process. It is then possible to generate (220) the scenarios matrix automatically, by selecting (according to the desired accuracy level) predefined rules specifying happy paths and errors cases for each property. A second phase relates to the generation of corresponding test cases (255). For this purpose, an expected result (i.e., an output message with optional verification actions) is associated (240-250) with each test scenario in the respective matrix. This allows creating a test document (265) for the manual execution of the test process and/or a bucket (275) for its automatic execution by an automation tool (280).

The invention relates to a generation method of a universal test document, which has two steps: step one, document template customization: the document template can be customized in three steps of document template structure definition, document template content style definition and XML description file generation and storage; and step two, document generation: first, a standard XML parser can obtain an XML description file of a corresponding document template from a test database, the DOM technology of the XML parser generates a friendly user interface, i.e., a documentation generator according to the description; then, the user can input document contents which need adding by hand in an editing area given by the document generator; when ensuring the accuracy of the contents displayed in the document generator, the user can perform the operation to generate the document; and at this time, the document generator can call an interface provided by a corresponding document-editing software to generate test documents which meet the requirements of the user.

The invention relates to a characteristic impedance testing method, comprising the following steps: setting a test document; obtaining the position of a part to be tested; locating a probe of a time-domain reflectometer on the position of the part to be tested on a printing circuit board; obtaining the characteristic impedance of the part to be tested; analyzing the characteristic impedance of the part to be tested; and generating and storing test report. The invention further provides a characteristic impedance testing system; the characteristic impedance of the part on the printing circuit board can be automatically tested by utilizing the invention.

A system and method for reserving an output media source in a shared document processing device environment. A source reservation request is received from an associated user containing an output media source selection from among multiple available sources on a document processing device and authorization information. A document processing request, representing a selected document processing operation, is then received. This request includes data representing the identification of the source requesting the document processing operation and data representing a desired output media source. The document processing request data is then tested against the source reservation request data. Based upon the testing, the document processing operation is selectively processed by the associated document processing device.

Methods, computers and articles of manufacture for testing and validating user interface content. Documents can be tested for both structure and content. In one embodiment, documents are parsed and compared to determine whether the documents are at least structurally equivalent. Parsed documents may also be compared to determine whether the documents are content the equivalent. In another embodiment, one or more test expressions are executed against one or more of the documents being compared.

A test document is parsed into components which may include bounding boxes, segments, and points. Test code makes calls to properties and methods of components in order to verify document layout. Rather than take absolute measurements of component placement, components are evaluated relative to each other. Layout verification logic may be part of a larger software test system.

The invention discloses a multi-document automatic abstract generation method based on phrase subject modeling. Multiple sample documents are subjected to word segmentation to obtain phrases and frequency of occurrence of the phrases, and the documents are expressed in the form of a phrase bag; joint probability distribution of the documents is calculated on the basis of an LDA subject model, the LDA subject model is converted into a phrase subject model, then a Gibbs sampling algorithm is used for estimating implicit parameters in the phrase subject model according to Bayesian probability, and lastly probability distribution of the subject in words is obtained; the tested documents are subjected to word segmentation, the subject weight and word frequency weight of obtained sentences are calculated and obtained, the final weight of the sentences is obtained by means of weighting calculation, and abstract content is generated according to the final weight. The method is more standard and precise, the relationship between different words is taken into consideration, the subject weight of the sentences is introduced, and the generation result better conforms to the practical essay abstract writing conditions of people after the subject weight of the sentences is introduced.

The invention provides a method and an apparatus for testing a document of a portable document format, the method for testing the document of the portable document format (PDF) comprises: extracting a feature value from a document structure of a training PDF document that comprises a malicious PDF document containing attack code; using the feature value to learn to generate a test model through the machine learning algorithm; and predicting the PDF document to be tested to be a malicious PDF document or not through the test model. According to the invention, on the premise of static analysis, attack prediction to a document is realized, and further the safety of the PDF document can be improved.

The invention provides a modular design method of a unified platform of an intelligent power distribution terminal, wherein a DSP (Digital Signal Processor) processor processes real-time tasks and an ARM (Advanced Risc Machines) processor processes non-real-time tasks, so that the intelligent power distribution terminal has the capability of operating complex algorithms, and the data processing speed and precision are improved; a dynamic base comprising a protocol body, a database interface, a data receiving/sending cache region, a physical interface and a debugging cache region is created; the allocation information of peripheral equipment is stored in a historical database or a test document, and the reading-writing operation of the peripheral equipment is abstracted to an interface function in a dynamic base form; and a database is selected and a database interface function is added. A real-time database is applied to improve the processing speed of data management tasks, and the real-time database is used for realizing data share/interaction between a plurality of courses to realize the seamless butt joint of data interface between the courses, and the modular design method provided by the invention has high instantaneity, strong transportability, high stability and strong expandability.

The invention provides a structure extended polynomial naive Bayes text classification method. Firstly, a one-dependence polynomial estimator is established by using each word that occurs in a test document as a father node and then all the one-dependence polynomial estimators are subjected to weighted averaging to predict a category of the test document, wherein the weight is an information gain ratio of each word. According to the method, the structure learning phase of a Bayesian network is avoided, thereby reducing time spending brought by high dimensionality of text data; and meanwhile, the estimation process of a dual conditional probability is postponed to the classification stage, thereby ingeniously saving large space cost. According to the method, not only is classification accuracy of a polynomial naive Bayes text classifier improved, but also time spending and space cost of structure learning of the Bayesian network are avoided.