32 results about "Software visualization" patented technology

A software visualization tool consistent with the present invention integrates OLAP functionality with focus+context based techniques for navigation through and inspection of large multidimensional datasets. Focus+context based navigation techniques are used to increase the clarity and information content provided to the user. The visualization tool supports a number of operations of the data set, including: select-slice, aggregation, promote/demote, repeat-variables, and sort.

Based on software developed with use-cases, a suite of metrics for the Product/Process (PP) complexity of software systems as well the PP complexity of each stage in the software development process—analysis, design, and testing—is provided. The metrics suite is important for software quality assurance—Validation and Verification (V&V) as well as for understanding new complexities brought into software development by new technologies. The metrics can be collected based on the two most important documents of use-case software development—scenario diagrams and state diagrams. All metrics are CASE tool computable. Thus, each iterative or incremental development process can be quantitatively measured and compared without incurring extra cost or load on the project team. Efficiency metrics for implementation and test stages, normalization rules and logic-metrics for business tables are also presented. A three-level software visualization approach may have impact on graphical programming or direct transformation.

A method for visualization of a software program includes receiving code coverage data generated by the software program, the code coverage data being associated with a test case, by a visualization tool in a computing system; and generating, by the visualization tool, a visualization of an execution of the test case by the software program based on the code coverage data; and displaying the visualization to a user.

The invention provides an Android software visualization safety analysis method based on module relations.According to the method, module recognition is conducted on Android software source codes according to a standard module model, all Android modules are extracted, then all attributes of individual module are obtained through regulation matching engine analysis, automated module type modeling of Android software is achieved, software behavior is described in the modularized form, meanwhile, user privacy data serve as the core, privacy data and data leakage outlets are recognized, the weakness degree of each module is quantified, visualization description is conducted on possible privacy disclosure behavior of the software, module positions which is attacked by malicious applications possibly and the module calling relation, and visualization display of the software behavior with respect to safety is achieved.Artificial distinguishing of a user and a program analysis method are effectively combined, so that the user has more visualized knowledge about the software behavior related to privacy data, and the purpose of distinguishing safety of an application is achieved.

The invention discloses a visual application arrangement system and method applied to a mixed cloud environment. The system comprises a software deployment subsystem. The software deployment subsystemcomprises a software visual arrangement framework module, a script compiler, a software deployment script executor and a software directory service module, wherein the software visual arrangement framework module is used for generating a complete software deployment script to serve as an output and providing the script for a background to execute actual deployment; and the script compiler is usedfor converting a visual process into a specific executable script of the background and generating a configuration parameter to serve as an output. Self-defined software arrangement logic is supported; a self-defined load scheduling policy is supported; self-defined visual monitoring alarming is supported; application deployment and resource occupation states in a mixed cloud platform can be displayed in real time; an application is enabled to have a capability of providing services for outside simply, quickly and automatically; and a resource scheduling state is subjected to multidimensionaldisplay in a visual mode.

A system for automatically generating visualization artifacts corresponding to related service operation interfaces. A user level visualization finite state machine instance is created for a specific service instance based on user activation and deactivation of service operations in the specific service instance and user selection of a start visualization state. The service operations are included in a service level visualization finite state machine instance for the specific service instance. Visualization artifacts are automatically generated based on the user level visualization finite state machine instance and parameterized entities bound to a concrete visualization component. The visualization artifacts are outputted in a service operation interface of the specific service instance for a user to visualize and interact with, resulting in the elimination of individual user unwanted server side function in the units of service operations without server side processing.

The invention relates to a software visualization method for an object-oriented programming language source code, belonging to the technical field of software visualization. The method comprises the following steps of: (1) extracting key information from the source code; (2) acquiring data information of an original graph; (3) acquiring data information of a directed graph; (4) designing a graph layout; and (5) performing visualization mapping. With the adoption of the novel software visualization method for the object-oriented programming language source code provided by the invention, the defect of a class graph for the soft visualization is made up, and the internal structure of software and the status and the effect of types in the software can be accurately and intuitively reflected,so that a user can rapidly understand a software design level.

The invention discloses a 3D reconstruction method of pathological sections, which is characterized in that the method at least comprises the following steps: step A, obtaining digital image data corresponding to a pathological slice picture sequence; step B, determining the positions of each adjacent layer of the pathological slice according to the obtained digital image data, and generating a three-dimensional array of the mesh to the adjacent layers; step C, performing data processing on the obtained three-dimensional array to obtain a binary three-dimensional array; step D, carrying out three-dimensional modeling according to the obtained binary three-dimensional array and saving as a three-dimensional model file; step E, loading the three-dimensional model file into the three-dimensional drawing software to visualize the three-dimensional structure of the pathological slice picture.

Embodiments of the present invention address deficiencies of the art in respect to data visualization and provide a novel and non-obvious method, system and computer program product for doubly linked visual discussions for data visualization. In one embodiment of the invention, a method for doubly-linked data visualization can be provided. The method can include rendering a data visualization in a data visualization service user interface, identifying comments corresponding to the rendered data visualization, concurrently displaying the identified comments in the user interface, selecting a comment in the user interface, and replacing the rendered data visualization in the user interface with a different data visualization corresponding to the selected comment.

A method of in-situ 3D printing and Non-Destructive Testing (NDT) with Computer Tomography (CT) using X-ray flexible detector is presented. An apparatus of in-situ 3D printing and NDT using CT with X-ray flexible detector comprises a 3D printer, an X-ray source, X-ray flexible detector, data acquisition system, CT reconstruction software, CT visualization software, motion control system and a computer. Either platform of 3D build object or X-ray source, X-ray flexible detector can be on a rotation and translational stage. The apparatus with the method can automatically stop current 3D printing build, replace older part and start a new object build process based on real time CT data analysis.

The invention discloses a visual malicious software detection method based on collaborative learning. The method comprises an initialization process and a collaborative training process. The initialization process specifically comprises the following steps: (1) software visualization; (2) feature extraction; the cooperative training process specifically comprises the steps: (3) performing multi-classifier new sample cooperative training marking; (4) executing a voting detection process. According to the method, a small number of marked software sample features can be used for modeling, and the detection performance of the model is continuously optimized through a large number of unmarked samples, so that the malicious software detection model has self-learning and self-adaption capabilities, the dependence on manual software sample marking is reduced, and the problem that a malicious software classification model based on machine learning is difficult to effectively train due to the fact that marked samples are difficult to collect in malicious software detection is solved.

The invention is suitable for the technical field of software visualization, and provides a server program visualization control method and device. The method comprises the following steps of: loadingan application program management interface and obtaining data information of a to-be-operated target application program according to user input; sending the data information into an application program operation table; operating the target application program according to the data information in the application program operation table and obtaining a program operation result; and sending the program operation result to a management terminal. According to the method and device provided by the invention, visualization of server program operations can be realized, so that users can manage andoperate software conveniently, the users are prevented from learning complicated computer instructions for managing software programs, and then the user experience is improved.

The invention provides a malicious software detection system, which comprises a metadata extraction module for receiving malicious software binary data as training data and extracting metadata; the data converter is used for extracting metadata from input malicious software binary data and converting the extracted metadata into image data, and the data converter comprises a first image generator, an audio file generator and a second image generator; the size adjusting module is used for adjusting the image data converted by the first image generator and the second image generator to a preset size suitable for training the neural network module; a data enhancement module that performs data enhancement on the image data converted by the first image generator and the second image generator; a neural network module receiving the image data enhanced by the data enhancement module to learn malware; and the visualization module is used for calculating the characteristics of the binary data of the malicious software extracted by the trained neural network module by using a t-SNE algorithm and visualizing two-dimensional and three-dimensional t-SNE graphs. According to the system, the result of the detection algorithm technology can be visually displayed and is convenient to read. The invention further provides a detection method of the malicious software detection system.

The invention belongs to the technical field of information security, and particularly relates to a malicious software detection method and system based on a memristor neural network. The method comprises the following steps: visualizing to-be-detected software into an RGB color image; carrying out normalization processing on the RGB color image, and storing the RGB color image in a memristor cross array by using a memristor; and extracting image features from the memristor by using the trained neural network model, and carrying out classification and identification. Malicious software is visualized into a color picture, and the image is stored and processed by using the memristor cross array, so that the recognition accuracy is effectively improved, and the generalization ability of the model is improved; the memristor and the lightweight convolutional neural network are combined to realize a memristor neural network solution in an embeddable device, a high-density integrated network is realized based on the memristor, a cross array structure is utilized to enhance information processing capability and expand storage space, a new solution is provided for solving the von Noiemann bottleneck problem, and malicious software detection of the Internet of Things is effectively realized.