564 results about "Test data generation" patented technology

A method and apparatus is disclosed herein for automated test input generation for web applications. In one embodiment, the method comprises performing a source-to-source transformation of the program; performing interpretation on the program based on a set of test input values; symbolically executing the program; recording a symbolic constraint for each of one or more conditional expressions encountered during execution of the program, including analyzing a string operation in the program to identify one or more possible execution paths, and generating symbolic inputs representing values of variables in each of the conditional expressions as a numeric expression and a string constraint including generating constraints on string values by modeling string operations using finite state transducers (FSTs) and supplying values from the program's execution in place of intractable sub-expressions; and generating new inputs to drive the program during a subsequent iteration based on results of solving the recorded string constraints.

A handheld diagnostic test device includes a port to removably receive a test cartridge, an element connected with an electronic device, and sensors for detection of test data from a biological or environment sample after reaction with reagents onboard the cartridge. The test device also includes memory storing algorithms for upload to the electronic device to enable a processor thereof: to await elapse of a pre-determined time following reaction of the sample with the reagents; to thereafter instruct the sensors to detect the test data; to generate presentation data based on the test data; and to present the presentation data from a presentation element of the electronic device to a user. A related method includes a connecting step, an up-loading step, a presentation step, a cartridge inserting step, a waiting step, a sensing step, and an electronic device processing step.

A storage system with a data recovery function and its method reduce errors in a storage medium to a recoverable range of a general ECC function by repeating a testing and recovery procedure for one or more times to assure the accuracy of reading data and enhance the data reliability effectively. The data recovery procedure includes the steps of providing test data by a test data generator of the storage system, writing the test data into a memory block where error data is found, finding an error bit by reading the test data, reducing the error to a recoverable range of the ECC technique by the recovery procedure. If the error bit cannot be found or reduced to a recoverable range of the ECC technique within an upper limit of the number of tests, the memory block is marked as bad.

The present invention provides methods and systems for using a design element in a graphical model to represent and identify a precondition for use by a verification tool in verifying an executable form of the design represented by the graphical model. The precondition design element provides a specification of a verification constraint without affecting the behavior of the design. The constraint is to be applied by the verification tool in verifying the design. As such, the precondition design element of the present invention provides a mechanism and formalism in a model-based design approach that is used to constrain automatically generated tests or verification of the design represented by the graphical model.

A method may include receiving, at a first network device, a test initiation message from a control device, wherein the test initiation message includes at least an identification of a second network device. The method may further include retrieving the identification of the second network device from the test initiation message and generating test data including at least source information associated with the first network device, destination information associated with the second network device, and timestamp information associated with a time at which the test data is generated. In addition, the method may include transmitting the test data to the second network device via a data network under test and receiving return test data from the second network device. Further, the method may include generating performance information based on the return test data received from the second network device.

The invention discloses a basic data generation method and device and a test data generation method and device. Configuration information of a data table is obtained from a service database; a data dictionary is configured according to the configuration information of the data table in the service database, wherein the data dictionary includes definition information of test data fields; data generation strategy is configured aimed at the test data fields, wherein dependent constraint conditions between the test data fields are defined in the data dictionary and/or the data generation strategy; the test data are generated according to the data dictionary and the data generation strategy, and the generated test data are stored in N basic data pools, wherein N is larger than 1, the test data stored in the basic data pools meet the uniqueness requirement, and the types of the test data stored in different basic data pools are different. Basic data of the test data can be generated according to the dependent relationship between the data, and the dependent relationship between the data is embodied.

Example embodiments disclosed herein relate to a method for generating test data for form validation, where the method includes maintaining metadata for a database, mapping a control field of the form to a column of the database, and generating test data based on the mapping and the metadata.

The invention provides a layered water injection effect analysis method. The layered water injection effect analysis method includes the steps that data of a production well, an injection well and an oil deposit are obtained, and dynamic parameters and static parameters of the wells and the oil deposit are determined; the shooting oil layer longitudinal mobilization degree and the water injection strength of the water injection well are generated according to water absorption profile testing data in the dynamic parameters; a Lorentz curve model for describing the relationship between the accumulated shooting sandstone thickness and the accumulated water absorption amount is built according to the water absorption profile testing data and the water injection strength; the oil layer water absorption balance degree is calculated according to the Lorentz curve model so as to achieve layered water injection effect analysis. By means of the layered water injection effect analysis method, the proportion of the longitudinal mobilization sandstone thickness of the water injection well to the total shooting sandstone thickness and the water absorption balance condition of the shooting small-layer whole can be evaluated in a quantified mode; factors having influences on layered water injection are found in cooperation with the over-the-year actual measurement water injection profile, the stratum physical property, the sedimentary phase, the layered water injection tubular column structure and injection allocation data.

Provided is a process, including: obtaining a model of an application program interface (“API”); receiving a request to generate a functional-test specification for the API; detecting sets of functionality identified by the model of the API and respective sets of parameters corresponding to the detected sets of functionality by parsing the model of the API; in response to receiving the request, generating the functional-test specification for the API by, for at least some respective detected sets of functionality, specifying respective sets of functional tests based on corresponding sets of parameters.

The invention develops a software test data evolution generation system facing a path, which has the advantages that the test data passing a target path can be automatically generated by using a genetic algorithm according to the test path selected by users, in addition, various optional genetic algorithm individual coding modes, adaptive value calculation methods, selection modes, crossing modes, variation modes and the like can be provided in the process of generating test data by using the genetic algorithm, and users can conveniently select different test data generation methods according to the tested program in different types. In addition, the system also provides the traditional random method test data generation method as the comparison, and the automation generation of the software test data is really realized. When the system disclosed by the invention is utilized, the software test efficiency is greatly improved, a large number of software development resources are also saved, the technical support is provided for the credible software research and development of the national relevant plan and the engineering, and the development of software industry in China is promoted.

The invention discloses a batch test data generation method, a system and a device thereof. The method comprises a step of setting a template file which comprises an original statement of test data to be generated, the original statement comprises a dynamic change part of the test data which is represented as a variable and a fixed value part; the method further comprises the following steps: analyzing the template file, identifying the variable and the fixed value part in the template file; replacing the variable with true data according to the type and a generation mode of the variable, generating the dynamic part of the batch test data, and generating a static part of the batch test data according to the fixed value part; merging the dynamic part and the static part of the test data to generate the batch test data; and storing the batch test data in a destination file. The method, the system and the device can ensure that the generated data are correct, and can help accurately process multilist correlated data.

The invention provides an automatic generation method and device for testing data of a database and a testing system. The method comprises the steps that a database list needing to generate testing data is selected; parameters of the database list are inquired; according to the parameters of the database list, generation rules of the testing data are selected, and the testing data are generated; insert rules of the testing data are selected, and the generated testing data are inserted into the database list according to the insert rules. According to the automatic generation method and device for testing data of the database and the testing system, the technical problem of field correlation foreign key recognition is solved, various flexible testing data generation rules are provided, the intelligent insert rules are provided, the data insert speed is greatly increased, a user interface is provided, and operation is easy.

The invention discloses an automatic test data generation method. The automatic test data generation method comprises the steps that a test data generation tool is built; the test data generation tool is used for analyzing configuration information of data in a current test case database, and a test data generation program is obtained according to the configuration information; test data are generated according to the test data generation program. Through the automatic test data generation method, complete and comprehensive test data can be input into a database rapidly and efficiently according to requirements of actual test occasions, and therefore generation efficiency and quality of test data can be improved in the software test process.

The invention discloses a method for generating the reliability test data of real time embedded software, belonging to the field of software reliability. The method comprises the following steps of analyzing interfaces and relative environments of tested real-time embedded software and hardware of the tested real-time embedded software, sorting out input and output variables, and establishing a system analysis chart; establishing use types of the input and output variables; establishing use profiles and operation description graphs according to the use condition of a tested system; organizing data and randomly sampling according to the information of the established use profiles and operation description graphs, and then generating software reliability test data. The method of the invention clearly describes the use process and the use input distribution of the software, can more efficiently and automatically generate the software reliability test data, and improves the efficiency of the software reliability test.

A method of extending features provided by a test case management (TCM) application, includes, in response to user input defining a date range and specifying at least one test target, generating a test report based on test data generated via the TCM application during the defined date range, wherein the test report is indicative of one or more test status indicators relative to the test target(s).

A system evaluates a first data cleansing application and a second data cleansing application. The system includes a test data generator, an application execution module, and a results reporting module. The test data generator creates a dirty set of sample data from a clean set of data. The application execution module cleanses the dirty set of sample data. The application execution module utilizes the first data cleansing application to cleanse the dirty set of sample data and create a first cleansed output. The application execution module further utilizes the second data cleansing application to cleanse the dirty set of sample data and create a second cleansed output. The results reporting module evaluates the first and second cleansed output. The results reporting module produces an output of scores and statistics for each of the first and second data cleansing applications.

Example embodiments disclosed herein relate to a rule-based data population system including a rule dispatcher engine to automatically bind data generating rules to a database. The system may further include a data generator engine to generate testing data for the database based on the rules.

The invention discloses a method for evolving and generating path coverage test data facing defects, which aims to expose the defects in a target path as much as possible from the generated test data so as to effectively enhance the quality of the test data. The method comprises the following steps of: firstly, establishing a math model for generating the path coverage test data facing the defects by using a path, in which the largest number of defects are found during tested procedure execution by the test data and the danger level of the defects is highest, as a target under the condition of a restraint that the test data must pass through the target path; and secondly, designing a restraining method for optimizing a plurality of targets so as to solve the problem, and evolving and generating the through target path by using a genetic algorithm, and effectively exposing the test data of the defects at the same time. By the method, the problem that the test data generated by the conventional method can only just pass through the target path instead of effectively exposing the defects in the target path, in particular some small-probability defects, can be solved; and the method can be used for generating the test data for a white box test or a regression test, so the efficiency of the software test can be improved greatly.