38 results about "Module dependency" patented technology

The present invention discloses a method for optimizing webpage pre-loading. The method is applied to an electronic device. The method comprises: analyzing a source code of a webpage file so as to generate a module dependency graph, wherein the module dependency graph describes a loading dependency relation between modules included in the webpage file; generating a loading flowchart according to the module dependency graph, wherein the loading flowchart indicates a loading flow of each module in a webpage; analyzing the loading flowchart and the module dependency graph so as to determine a pre-loading sequence of each module in the webpage file; and generating a pre-loading profile file according to the determined and optimized pre-loading sequence.

Systems and methods are described for capturing and utilizing specific module dependency information. A hierarchical model can be created to arrange the components an existing software system in a particular hierarchy. The model defines a priority of dependencies among the components. A tool is provided for analyzing each class file of the system for references to other class files and determining, for each said class file, whether each reference is acceptable according to the hierarchical model. Once the class files and references have been analyzed, a surrogate class file can be automatically generated for the references that are determined to be unacceptable according to the hierarchical model. This process can utilize white lists and black lists associated with the class files, where the white lists specify modules to which references are acceptable and the black lists specify modules to which references are unacceptable.

The invention provides a front-end-item establishing method, device and system. The front-end-item establishing method includes the steps that an inlet module of a front-end item is obtained; the inlet module serves as a current to-be-processed module, and a processor is distributed for the current to-be-processed module to execute analysis processing operation; modules with dependency on the current to-be-processed module serve as current to-be-processed modules, and execute analysis processing operation; javascript codes of all the modules and the dependency relationships between all the modules of analysis processing operation are completed according to execution, and item establishing files are generated. According to the front-end-item establishing method, device and system, through the parallel calculating capacity of a CPU, a scheduler schedules the multiple processors for parallelly searching the module dependency relationships and compiling the javascript codes, and time is greatly saved. The scheduler is in communication with the processors through asynchronous message, and the message waiting process is avoided. According to the front-end-item establishing method, device and system in the technical scheme, front-end-item establishing time is greatly shortened, and the front-end-item establishing efficiency is improved.

Methods for detecting inter-module dependencies involve receiving by a software configuration control system check-in for each of a plurality of software components accompanied by check-in information consisting at least in part of defect information, which is utilized to identify coupling between any of the checked-in software components that were checked in together on a same defect and any of the checked-in software components that were checked in on a defect that was introduced by a defect in another software component. Warnings and reports are generated of a likely incidence of coupling between any of the software components identified as having been checked in together on a same defect, as well as between any of the software components identified as having been checked in on a defect that was introduced by a defect in another software component and such other software component.

Embodiments of the present invention address deficiencies of the art in respect to module dependency loading in an Ajax environment, and provide a novel and non-obvious method, system and computer program product for the optimized downloading of Javascript in a component based architecture. In an embodiment of the invention, a method for optimized downloading of scripts in a component-based architecture can be provided. The method can include identifying a set of module dependencies for a script embedded in a page received for rendering, locating the module dependencies in a dependency graph for the script, determining from the dependency graph a subset of the module dependencies that have yet to be loaded for the page, requesting each module in the subset in a single request, and loading each requested module in conjunction with rendering the page.

The embodiment of the invention discloses a framework-baed system development method and device, computer equipment and a storage medium. The method comprises the steps that at least one module is constructed in a system project folder on the basis of a framework, wherein the framework comprises a static file library and a universal component library, the universal component library comprises the same data used for calling at least two modules, and each module and the universal component library are in a dependency relationship, and the static files on which the modules depend are stored in the static file library; and the system project folder is compiled and run to form a system file package, and the system file package is published. According to the embodiment of the invention, the development and updating efficiency of the system can be improved.

The invention provides a server application function thermal expansion method and system. The method comprises the steps of defining application basic information, an application dependency relationship and an external service interface of an application; managing the operation of the application, namely after starting the application, loading the application, operating the application and unloading the application according to the basic information of the application and the dependency relationship of the application; scanning the basic information of the application, confirming the newly added application, loading the newly added application according to the application dependency relationship, if an abnormal condition occurs in the loading process, terminating the loading process, and recording the abnormal condition; otherwise, continuing the loading process until the loading is successful, receiving the unloading request, setting the application state as to-be-unloaded, and performing reverse unloading operation according to the module dependency relationship; And monitoring application operation, identifying abnormal conditions in application operation, and processing the abnormal conditions. The function expansion and unloading of the server application under the non-stop condition are realized; Operation monitoring of the function level is achieved, and early warning preprocessing is carried out.

This disclosure proposes a software defect prediction method based on the module dependency graph, which identifies the defect information of the software module according to the version information of the software to be analyzed; establishes the software module dependency graph according to the dependency relationship between the software modules, and uses the developer as a Nodes in the module dependency graph; extracting internal features of the software module, extracting the dependency features of each node in the software module dependency graph by means of network representation learning, and forming a metric tuple with the internal features and the dependency features between the modules, Establish the historical defect library of the software according to the measurement tuple and the defect information of the module; use the historical defect library to train the defect prediction model for subsequent software defect prediction, and the defect prediction adopts the dynamic selection of classifiers based on local optimum The model automatically optimizes the parameters of the defect prediction model, and uses the result of the software module defect prediction model as the defect prediction result of the software to be analyzed. This method can improve the flexibility of constructing network node metrics and improve the effect of software defect prediction.

Embodiments of the invention disclose an information processing method and apparatus. The method comprises the steps of obtaining locating information of a specified module in a project, wherein the locating information comprises a module identifier of the specified module; and according to the locating information of the specified module, determining dependency relationship information of the specified module by utilizing module dependency relationship information corresponding to the project, wherein the module dependency relationship information corresponding to the project includes information of a dependency relationship between modules contained in the project. By utilizing the method and the apparatus, automatic acquisition of the dependency relationship information of the specified module can be realized; the dependency relationship information of the specified module can be efficiently and accurately obtained; and the analysis speed and the result accuracy are improved.

The invention discloses a function freezing / defreezing method in the automatically switched optical network. The method comprises: (1) the control node detects the freezing parameter in the freezing command, to determine the freezing type is freezing or defreezing; (2) to judge whether the freezing module parameter is contained in the freezing command; if the freezing module parameter is not contained, enter Step (3), otherwise enter Step (4); (3) to freeze / defreeze the whole control node according to the freezing type, and the process is finished; (4) to freeze / defreeze the corresponding module and the module in the previous layer according to the freezing type, the freezing module and the module dependency relationship table, and the process is finished. The adoption of the invention can realize the freezing / defreezing of the whole function of partial function of the control node; when the freezing / defreezing is performed during the normal running of the system, the whole system function can't be influenced; the adoption of the divided function freezing strategy, the freezing module can be expanded at the proper time, the impact of the whole node freezing to the systemis released, and the flexibility is enhanced.

The invention provides a method for dynamically upgrading software modules in embedded systems. The embedded systems with numerous nodes have difficulty in assembling\disassembling, and the nodes arerequired to be reconfigurable and adaptive and need to be independently upgraded when needed. Dynamic upgrading of the software modules can be supported by the method under the conditions of the embedded systems during running. The method has the advantages that new modules can be loaded into the systems or old modules can be dynamically replaced by the aid of software dynamic upgrading technologies under the condition that normal running of the existing systems is unaffected, updating service can be provided when the systems run, accordingly, the software modules can be smoothly upgraded, andlong-time reliable operation of the systems can be guaranteed; the software modules can be linked into the target systems by the aid of the technologies, and module dependence management technologiescan be implemented; safe and reliable running of the embedded systems can be guaranteed in software module loading / unloading procedures.

Aiming at the clustering problem of software modules in software system reconfiguration, the invention discloses a software module clustering method for probability selection. This method first extracts the module dependency graph of the software system from the source program of the software system, and then proceeds from the sparse points in the graph to perform local merge operations on the nodes based on probability selection to obtain the preliminary module clustering of the software system. The number of connections between modules dynamically adjusts the clustering of each node based on the probability to obtain the clustering results of the software modules. The invention provides a simple, fast convergence and good clustering effect engineering method for the software module clustering problem, which is used for reconfiguring the software system structure and improving the comprehensibility of the software system.

The invention provides a multilevel dynamic home network service quality assurance method. The method is based on a 'three horizontal six longitudinal' service quality assurance architecture, 'three horizontal' comprises a data plane, a control plane and a management plane respectively, and 'six longitudinal' comprises six steps, namely service discovery, service subdivision, safety control, resource consultation, resource mapping and service execution, wherein the management plane also comprises a service oriented QoS feedback control mechanism module which is used for realizing end-to-end service quality dynamic feedback on single service flow as well as a policy which is generated by a global QoS policy dynamic generation technical module and is used for supporting a service discovery module, a demand analysis module, a security detection module, a service registration module and a service recording module of the management plane; and the service oriented QoS feedback control mechanism module is dependent on information provided by the service discovery module, the demand analysis module, the security detection module, the service registration module and the service recording module of the management plane.