Disclosed is a window kernel fuzzing technique utilizing type information obtained through binary static analysis. The method of fuzzing a kernel of a computer operating system performed by a fuzzing system may include the steps of: automatically inferring type information of a system call using a library file provided by the computer operating system; and performing system call fuzzing on the basis of the type information of the system call obtained through the inference.

In some embodiments, a method includes generating, based on distributed ledger data associated with a first distributed ledger-based network (DLN), distributed ledger data associated with a second DLN. The first DLN and the second DLN each is a fork and the distributed ledger data associated with the first DLN include account data associated with a set of accounts. The method includes generating a request to initiate a transaction between a first account and a second account. The method includes authenticating the transaction based on a protocol associated with the second DLN and without using a private cryptographic key of the first account. The method includes sending a signal indicating the transaction was authenticated and storing information associated with the transaction in the distributed ledger data associated with the second DLN.

A method and system for remote testing of a plurality of devices is disclosed. The method may include receiving a request from a client system to perform testing on a set of remote devices. The local system and the client system are connected via a first network connection and the plurality of remote devices are connected to the local system via a second network connection. The method may further include receiving an input from the client system with reference to a test-suite to perform a testing action on the set of remote devices, generating a test command corresponding to the input, and transmitting the test command to each of the set of remote devices. The method may further include receiving feedback from each of the set of remote devices and transmitting the feedback to the client system.

A CI/CD assist device accepts configuration data and test data collectively from a terminal (a vendor terminal) of a provider that provides a network service to a customer. The configuration data specifies a functional unit required to provide the network service, and the test data specifies test content for the network service or the functional unit. Each of an NOS, an NOS, and an NOS automatically builds the functional unit specified by the configuration data that is accepted by the CI/CD assist device. Each of a test device, a test device, and a test device automatically conducts a test on the network service or the functional unit based on the test data. The network service and the functional unit are built in each environment.

A debugging management platform and an operating method for the same are provided. In the operating method, the debugging management platform operates a debugging agent service for establishing a debugging channel between a software development platform and a test platform. When receiving debugging packets are issued by the software development platform or the test platform, the debugging agent service analyzes the debugging packets and checks if the debugging packets meet an information security standard. The debugging packets are forwarded to the test platform or the software development platform if the debugging packets meet the information security standard. If the debugging packets do not meet the information security standard, the debugging packets are not forwarded, so as to ensure information security of the debugging packets that are forwarded between different environments.

Systems and methods for automated test data microservices are provided. Test versions of software (such as an Application Programming Interface (API)) may be configured to automatically generate test data and to call a microservice to manage the test data. The microservice may automatically add and remove the test data from an operational data store to facilitate the testing process and to automatically perform setup and teardown stages of the testing process.

A system for classifying tasks based on workflow patterns detected on workflows through a real time video feed that shows steps being performed to accomplish a plurality of tasks. Each task is associated with a different set of steps. The system accesses a first set of steps known to be performed to accomplish a first task on the webpages. The first set of steps is represented by a first set of metadata. The system extracts a second set of metadata from the video feed. The second set of metadata represents a second set of steps to perform a second task. The system determines whether the second set of metadata corresponds to the first set of metadata. If it is determined that the second set of metadata corresponds to the first set of metadata, the system classifies the second task in a class to which the first task belongs.

A method for testing a technical system. Tests are carried out with the aid of a simulation of the system. The tests are evaluated with respect to a fulfillment measure of a quantitative requirement on the system and different error measures of the simulation. On the basis of the fulfillment measure and each of the error measures, a classification of the tests is carried out as either reliable or unreliable case by case. A selection among the error measures is made on the basis of a number of the tests classified as reliable.

The invention relates generally to a system and method for implementing a one to many configuration management tool using runtime injection to replace hard coded values. An embodiment of the present invention is directed to addressing configuration management challenges, enhancing software quality and improving operation performance.

A method and associated system for providing debug information associated with computer software executing in a production container. The production container is replicated as a debug container. The computer software is executed in the production container and the debug container. Executing the computer software includes replicating requests sent to the computer software executing in the production container to the computer software executing in the debug container. Requests from the computer software executing in the production container are stored together with any responses to the stored requests. Debug information generated by the computer software executing in the debug container is stored.