CN112364107A - System analysis visualization method and device, electronic equipment and computer readable storage medium - Google Patents
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Abstract
The invention relates to a big data technology, and discloses a system analysis visualization method, which comprises the following steps: acquiring a data set of a system to be analyzed; constructing an interface calling relation graph according to the reference relation existing in the system data set to be analyzed; searching entity class files in the data set of the system to be analyzed, and constructing a data model diagram according to the entity class files; acquiring an updated system data set, and comparing the updated system data set with the system data set to be analyzed to obtain a system file difference table; and displaying the system content corresponding to the system data set to be analyzed according to the interface calling relationship diagram, the data model diagram and the system file difference table. Meanwhile, the invention also provides a system analysis visualization device and a computer readable storage medium. In addition, the invention also relates to a block chain technology, and the data set of the system to be analyzed can be stored in the block chain node. The invention can realize more comprehensive and clear system analysis visualization.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a system analysis visualization method and device, electronic equipment and a computer readable storage medium.
Background
The back of a business system contains large-scale code files, data files and the like, and the business system is not invariable after being used, and usually needs later maintenance, updating and the like, so that the code files in the system need to be analyzed and visualized so as to be convenient for maintaining or updating a subsequent system.
The existing system analysis visualization mainly shows main modules of the system according to document records, but the method cannot clearly show the logic calling relationship among internal codes of the system, the content display of the business system is not comprehensive and clear, and the follow-up maintenance or updating of the system is not facilitated.
Disclosure of Invention
The invention provides a system analysis visualization method, a system analysis visualization device, electronic equipment and a computer readable storage medium, and mainly aims to provide a more comprehensive and clear system analysis visualization method.
In order to achieve the above object, the present invention provides a system analysis visualization method, which includes:
acquiring a data set of a system to be analyzed;
constructing an interface calling relation graph according to the reference relation existing in the system data set to be analyzed;
searching entity class files in the data set of the system to be analyzed, and constructing a data model diagram according to the entity class files;
acquiring an updated system data set, and comparing the updated system data set with the system data set to be analyzed to obtain a system file difference table;
and displaying the system content corresponding to the system data set to be analyzed according to the interface calling relationship diagram, the data model diagram and the system file difference table.
Optionally, the constructing an interface call relationship graph according to the reference relationship among the classes in the system data set to be analyzed includes:
searching a root file in the data set of the system to be analyzed by using a root searching method, and taking the root file as a root node;
searching the class file which refers to the root class file in the system data set to be analyzed, and taking the class file of the root class file as a child node of the root node;
searching a class file which refers to the class file corresponding to the child node in the system data set to be analyzed, and taking the class file of the class file corresponding to the child node as a next child node of the child node;
and repeating the steps until the searched class file is not referred by other class files, and obtaining the interface call relation diagram corresponding to the system data set to be analyzed.
Optionally, the searching for the root class file in the to-be-analyzed system data set by using a root class finding method includes:
traversing class files in the data set of the system to be analyzed;
extracting the header data of the currently traversed class file;
and if the header data does not refer to other class files, determining the currently traversed class file as a root class file.
Optionally, the searching for the entity class file in the system data set to be analyzed includes:
acquiring class files of which the types are entity classes according to marks preset in the class files in the data set of the system to be analyzed;
and collecting the class files with the types of the entity classes to obtain a plurality of entity class files.
Optionally, the data model graph includes entities, attributes of the entities, and association relationships between the entities, and the constructing the data model graph according to the entity class file includes:
determining an entity in the data model graph according to the class name of the entity class file;
determining attributes of corresponding entities in the data model graph according to member variables contained in the entity class file;
and adding an association relation for each entity in the data model diagram according to the annotation in the entity class file.
Optionally, the obtaining an updated system data set and comparing the updated system data set with the system data set to be analyzed to obtain a system file difference table includes:
acquiring an updated system data set;
dividing the updated system data set according to types to obtain a plurality of subsystem data sets;
traversing each subsystem data set, comparing each file in each subsystem data set with a file with the same name as the file in the system data set to be analyzed by adopting a preset comparison algorithm corresponding to the type according to the type of the subsystem data set, and identifying a modified part of the file in each subsystem data set;
and identifying the modified part in the subsystem data set, and saving the modified part in a file difference table.
Optionally, the preset comparison algorithm includes a similarity comparison algorithm, and comparing each file in each subsystem data set with a file in the system data set to be analyzed, where the file is consistent with the file name, includes:
judging the type of the subsystem data set; when the type of the subsystem data set is an entity type, acquiring data of each file in the subsystem data set line by line to obtain comparison data, and acquiring data of files with the same file name in the system data set to be analyzed line by line to obtain original data;
and calculating the similarity of the comparison data and the original data by adopting a similarity comparison algorithm, and identifying the comparison data when the similarity is lower than a preset threshold value.
In order to solve the above problem, the present invention further provides a system analysis visualization apparatus, including:
the data acquisition module is used for acquiring a data set of the system to be analyzed;
the interface relation call graph module is used for constructing an interface call relation graph according to the reference relation existing in the system data set to be analyzed;
the data model graph module is used for searching the entity class files in the data set of the system to be analyzed and constructing a data model graph according to the entity class files;
the file difference table module is used for acquiring an updated system data set and comparing the updated system data set with the system data set to be analyzed to obtain a system file difference table;
and the display output module is used for displaying the system content corresponding to the system data set to be analyzed according to the interface calling relationship diagram, the data model diagram and the system file difference table.
In order to solve the above problem, the present invention also provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the system analysis visualization method described above.
In order to solve the above problem, the present invention further provides a computer-readable storage medium comprising a storage data area and a storage program area, wherein the storage data area stores created data, and the storage program area stores a computer program; wherein the computer program, when executed by a processor, implements the system analysis visualization method described above.
The embodiment of the invention presents the module division and internal code logic calling relation of the system by constructing an interface calling relation graph; reflecting the data structure relationship in the system and the incidence relationship among all entity classes in the system by constructing a data model diagram; clearly displaying the changed content in the system through the system file difference table; the display is carried out in the form of an interface calling relation diagram, a data model diagram and a system file difference table, so that the system content can be comprehensively and visually displayed, and the system can be maintained or updated conveniently in the follow-up process. Therefore, the system analysis visualization method, the system analysis visualization device and the computer readable storage medium provided by the invention can achieve the purpose of more comprehensive and clear system analysis visualization.
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Fig. 1 is a schematic flow chart of a system analysis visualization method according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a system analysis and visualization apparatus according to an embodiment of the present invention;
fig. 3 is a schematic internal structural diagram of an electronic device implementing a system analysis visualization method according to an embodiment of the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The execution subject of the system analysis visualization method provided by the embodiment of the present application includes, but is not limited to, at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the system analysis visualization method may be executed by software or hardware installed in the terminal device or the server device, and the software may be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
The invention provides a system analysis visualization method. Referring to fig. 1, a schematic flow chart of a system analysis visualization method according to an embodiment of the present invention is shown. The method may be performed by an apparatus, which may be implemented by software and/or hardware.
In this embodiment, the system analysis visualization method includes:
and S1, acquiring a system data set to be analyzed.
In the embodiment of the invention, the data set of the system to be analyzed is a complete set of source codes of a business system, and comprises a plurality of class files, tool kits, configuration files and the like.
Preferably, the programming languages used in system development are varied, and commonly used languages include java, C/C + +, php, python, and the like. In the object-oriented programming language, all operations in the language are performed through objects on the basis of classes and objects, a plurality of functions can be defined in a class code file, and the functions are realized by instantiating the class objects. The data set of the system to be analyzed in the embodiment of the invention is data in a business system based on class objects.
In detail, the system data set to be analyzed may be obtained from a preset server.
Preferably, the data set of the system to be analyzed may also be obtained from a node of a block chain, and the security of the data set of the system to be analyzed is improved by storing the data set of the system to be analyzed in the block chain.
S2, constructing an interface calling relation graph according to the reference relation existing in the system data set to be analyzed.
Preferably, a service system includes a large number of class files, and the various class files have a mutual calling relationship, so that a plurality of class files jointly implement a system function.
In the embodiment of the invention, the interface call relation graph is a tree graph, and objects are organized by a parent-child hierarchical structure. The interface call relation graph comprises a plurality of root nodes and child nodes, and can show the module distribution condition in the system data set to be analyzed and the call relation among all the class files and also show the detailed functions of the corresponding service system.
In detail, the constructing an interface call relationship diagram according to the reference relationship among the classes in the system data set to be analyzed includes:
searching a root file in the data set of the system to be analyzed by using a root searching method, and taking the root file as a root node;
searching the class file which refers to the root class file in the system data set to be analyzed, and taking the class file of the root class file as a child node of the root node;
searching and quoting class file corresponding to the child node in the system data set to be analyzed, and taking the class file of the class file corresponding to the child node as the next child node of the child node;
and repeating the steps until the searched class file is not referred by other class files, and obtaining the interface call relation diagram corresponding to the system data set to be analyzed.
Preferably, the root class file refers to class files which are not referenced by other class files, such as interfaces, timing tasks, entry of messages, abandoned isolated classes and the like. Further, the searching for the root class file in the data set of the system to be analyzed by using a root class finding method includes:
traversing class files in the data set of the system to be analyzed;
extracting the header data of the currently traversed class file;
and if the header data does not refer to other class files, determining the currently traversed class file as a root class file.
The header data refers to data information such as a package name at the beginning of one class file, and reference to other class files, and when referring to other class files, the identifier character "import" is used.
Optionally, in an optional embodiment of the present invention, the interface call relationship diagram may be further refined, including: counting the number of times of the quoted files of each class; obtaining the annotation and annotation of the class file in the data set of the system to be analyzed; and adding the data information to a corresponding class file in the interface call graph.
Preferably, the user calls the relational graph through the interface to quickly know the business system corresponding to the system data set to be analyzed so as to perform the next analysis. For example, an external interface and an internal interface calling relationship can be quickly located, and the relationship among which classes is tight and the relationship among which classes is sparse can be analyzed; the rationality of module division in a business system can be analyzed according to the principle of high cohesion and low coupling of module division, and a quantitative basis is provided for the module division; and the classes in the service system can be analyzed to be isolated, and the calling chains are abandoned, so that simplification is realized, and the optimization of the service system is facilitated.
S3, searching the entity class files in the system data set to be analyzed, and constructing a data model diagram according to the entity class files.
The types of class files in the data set of the system to be analyzed in the embodiment of the invention comprise various types, such as an entity class, a service class, a tool class, a configuration class and the like. The entity class is data describing objective objects in the real world, and can refer to people such as teachers, students and the like, and also refer to objects such as books, warehouses and the like.
In detail, the searching for the entity class file in the system dataset to be analyzed includes:
acquiring class files of which the types are entity classes according to marks preset in the class files in the data set of the system to be analyzed;
and collecting the class files with the types of the entity classes to obtain a plurality of entity class files.
The preset mark is a method mark for distinguishing various types of files when a system developer constructs the type files, for example, if one type file is an Entity type, "Entity" is added at the end of the name when naming, and if the type file is a Service type, "Service" is added at the end of the name when naming.
Preferably, the data model map in the embodiment of the present invention may be an E-R map (Entity-Relationship map) for describing information requirements or types of information to be stored in the database, where the data model map includes entities, attributes of the entities, and association relationships between the entities.
In detail, the building a data model diagram according to the entity class file includes:
determining an entity in the data model graph according to the class name of the entity class file;
determining attributes of corresponding entities in the data model graph according to member variables contained in the entity class file;
and adding an association relation for each entity in the data model diagram according to the annotation in the entity class file.
The member variables are the attributes of the class files, are defined in the class files and can be accessed in the whole class files. The annotation is a code level description, which is declared in the class file to explain or annotate the class file, and the association between the class file and other class files can be obtained according to the annotation.
Preferably, in the development of an actual service system, various data are generally stored in a database in the form of data tables, each data table and its attributes and the relationship between each data table represent a data structure in the actual service system, and the data tables in the database and the entity classes in the system are in a one-to-one correspondence relationship in the embodiment of the present invention, so that the embodiment of the present invention can completely reflect the data structure relationship through the data model diagram and can also reflect the association relationship among the entity classes.
And S4, acquiring an updated system data set, and comparing the updated system data set with the system data set to be analyzed to obtain a system file difference table.
In detail, after a business system is developed, it needs to be maintained or optimized in function in a later period, and therefore, the business system needs to be updated. In the embodiment of the invention, the updated system data set is a complete set of source codes after the service system is updated.
In detail, the S4 includes:
acquiring an updated system data set;
dividing the updated system data set according to types to obtain a plurality of subsystem data sets;
traversing each subsystem data set, comparing each file in each subsystem data set with a file with the same name as the file in the system data set to be analyzed by adopting a preset comparison algorithm corresponding to the type according to the type of the subsystem data set, and identifying a modified part of the file in each subsystem data set;
and identifying the modified part in the subsystem data set, and saving the modified part in a file difference table.
The types are divided according to the role of each file, such as an entity class, a service class, a tool class, a configuration class and the like. The file types are different, and the data forms of the files are also different, so different comparison algorithms need to be adopted to compare the files in the data set of the updating system, and the preset comparison algorithm comprises a feature vector comparison method, a semantic analysis comparison method, a similarity comparison algorithm and the like.
Further, the comparing each file in each subsystem dataset with the file in the system dataset to be analyzed, which is consistent with the file name, includes:
judging the type of the subsystem data set;
when the type of the subsystem data set is an entity type, acquiring data of each file in the subsystem data set line by line to obtain comparison data, and acquiring data of files in the system data set to be analyzed, wherein the files are consistent with the file name to obtain original data;
and calculating the similarity of the comparison data and the original data by adopting a similarity comparison algorithm, and identifying the comparison data when the similarity is lower than a preset threshold value. The similarity contrast algorithm is an algorithm which takes continuous character strings as unit blocks, the larger the same unit block is, the more similar the unit block is, and the smaller the unit block of the different part is, the more similar the unit block is, and the similarity value is calculated according to the similarity contrast algorithm.
The file difference table can clearly display the content of each change, so that a user can accurately evaluate the influence of each change on the service logic of the system, the risk caused by unknown changes is reduced, the stability of the system is ensured, and the safety quality of the system is improved.
S5, displaying the system content corresponding to the system data set to be analyzed according to the interface calling relationship diagram, the data model diagram and the system file difference table.
In detail, in the embodiment of the present invention, the obtained interface call relationship diagram, the data model diagram, and the file difference table are merged to obtain a plurality of charts serving as visualization schemes, and system contents corresponding to the system data set to be analyzed are displayed. The interface calling relation diagram, the data model diagram and the file difference table in the visualization scheme are constructed according to the data set of the system to be analyzed, and the system content corresponding to the data set of the system to be analyzed can be displayed in a clear and intuitive mode, so that a user does not need to face complex large-scale code data. The visualization scheme is simple and easy to understand, the system can be further processed conveniently in the follow-up process, and the working efficiency is improved.
Furthermore, a user can check a modified file in the system through the file difference table, check the position and the function of the modified file in the whole system in the interface calling relationship diagram according to the name of the modified file, check the data structure of the modified file through the data model diagram, and determine whether the modified file has influence on other files after being modified.
The visualization scheme in the embodiment of the invention shows each module contained in a complex system code and the internal calling relationship in a chart form, and also shows the whole data structure of the system and the change condition of the system. And a user, such as a developer or a maintainer, can quickly know the basic situation of the service system by browsing the visualization scheme, so that the user can conveniently maintain or optimize the service system subsequently.
The embodiment of the invention presents the module division and internal code logic calling relation of the system by constructing an interface calling relation graph; reflecting the data structure relationship in the system and the incidence relationship among all entity classes in the system by constructing a data model diagram; clearly displaying the changed content in the system through the system file difference table; the display is carried out in the form of an interface calling relation diagram, a data model diagram and a system file difference table, so that the system content can be comprehensively and visually displayed, and the system can be maintained or updated conveniently in the follow-up process. Therefore, the system analysis visualization method, the system analysis visualization device and the computer readable storage medium provided by the invention can achieve the purpose of more comprehensive and clear system analysis visualization.
Fig. 2 is a schematic block diagram of an analysis and visualization device of the system of the present invention.
The system analysis visualization device 100 of the present invention may be installed in an electronic device. According to the realized functions, the system analysis visualization device can comprise a data acquisition module 101, an interface relationship call graph module 102, a data model graph module 103, a file difference table module 104 and a display output module 105. A module according to the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the data acquisition module 101 is configured to acquire a data set of a system to be analyzed.
In the embodiment of the invention, the data set of the system to be analyzed is a complete set of source codes of a business system, and comprises a plurality of class files, tool kits, configuration files and the like.
Preferably, the programming languages used in system development are varied, and commonly used languages include java, C/C + +, php, python, and the like. In the object-oriented programming language, all operations in the language are performed through objects on the basis of classes and objects, a plurality of functions can be defined in a class code file, and the functions are realized by instantiating the class objects. The data set of the system to be analyzed in the embodiment of the invention is data in a business system based on class objects.
In detail, the system data set to be analyzed may be obtained from a preset server.
Preferably, the data set of the system to be analyzed may also be obtained from a node of a block chain, and the security of the data set of the system to be analyzed is improved by storing the data set of the system to be analyzed in the block chain.
The interface relationship call graph module 102 is configured to construct an interface call relationship graph according to a reference relationship existing in the system data set to be analyzed.
Preferably, a service system includes a large number of class files, and the various class files have a mutual calling relationship, so that a plurality of class files jointly implement a system function.
In the embodiment of the invention, the interface call relation graph is a tree graph, and objects are organized by a parent-child hierarchical structure. The interface call relation graph comprises a plurality of root nodes and child nodes, and can show the module distribution condition in the system data set to be analyzed and the call relation among all the class files and also show the detailed functions of the corresponding service system.
In detail, the interface relationship calling graph module 102 is specifically configured to:
searching a root file in the data set of the system to be analyzed by using a root searching method, and taking the root file as a root node;
searching the class file which refers to the root class file in the system data set to be analyzed, and taking the class file of the root class file as a child node of the root node;
searching and quoting class file corresponding to the child node in the system data set to be analyzed, and taking the class file of the class file corresponding to the child node as the next child node of the child node;
and repeating the steps until the searched class file is not referred by other class files, and obtaining the interface call relation diagram corresponding to the system data set to be analyzed.
Preferably, the root class file refers to class files which are not referenced by other class files, such as interfaces, timing tasks, entry of messages, abandoned isolated classes and the like. Further, the searching for the root class file in the data set of the system to be analyzed by using a root class finding method includes:
traversing class files in the data set of the system to be analyzed;
extracting the header data of the currently traversed class file;
and if the header data does not refer to other class files, determining the currently traversed class file as a root class file.
The header data refers to data information such as a package name at the beginning of one class file, and reference to other class files, and when referring to other class files, the identifier character "import" is used.
Optionally, in an optional embodiment of the present invention, the interface call relationship diagram may be further refined, including: counting the number of times of the quoted files of each class; obtaining the annotation and annotation of the class file in the data set of the system to be analyzed; and adding the data information to a corresponding class file in the interface call graph.
Preferably, the user calls the relational graph through the interface to quickly know the business system corresponding to the system data set to be analyzed so as to perform the next analysis. For example, an external interface and an internal interface calling relationship can be quickly located, and the relationship among which classes is tight and the relationship among which classes is sparse can be analyzed; the rationality of module division in a business system can be analyzed according to the principle of high cohesion and low coupling of module division, and a quantitative basis is provided for the module division; and the classes in the service system can be analyzed to be isolated, and the calling chains are abandoned, so that simplification is realized, and the optimization of the service system is facilitated.
The data model diagram module 103 is configured to search an entity class file in the system data set to be analyzed, and construct a data model diagram according to the entity class file.
The types of class files in the data set of the system to be analyzed in the embodiment of the invention comprise various types, such as an entity class, a service class, a tool class, a configuration class and the like. The entity class is data describing objective objects in the real world, and can refer to people such as teachers, students and the like, and also refer to objects such as books, warehouses and the like.
In detail, when searching the entity class file in the system data set to be analyzed, the data model graph module 103 specifically performs the following operations:
acquiring class files of which the types are entity classes according to marks preset in the class files in the data set of the system to be analyzed;
and collecting the class files with the types of the entity classes to obtain a plurality of entity class files.
The preset mark is a method mark for distinguishing various types of files when a system developer constructs the type files, for example, if one type file is an Entity type, "Entity" is added at the end of the name when naming, and if the type file is a Service type, "Service" is added at the end of the name when naming.
Preferably, the data model map in the embodiment of the present invention may be an E-R map (Entity-Relationship map) for describing information requirements or types of information to be stored in the database, where the data model map includes entities, attributes of the entities, and association relationships between the entities.
In detail, when constructing the data model graph according to the entity class file, the data model graph module 103 specifically performs the following operations:
determining an entity in the data model graph according to the class name of the entity class file;
determining attributes of corresponding entities in the data model graph according to member variables contained in the entity class file;
and adding an association relation for each entity in the data model diagram according to the annotation in the entity class file.
The member variables are the attributes of the class files, are defined in the class files and can be accessed in the whole class files. The annotation is a code level description, which is declared in the class file to explain or annotate the class file, and the association between the class file and other class files can be obtained according to the annotation.
Preferably, in the development of an actual service system, various data are generally stored in a database in the form of data tables, each data table and its attributes and the relationship between each data table represent a data structure in the actual service system, and the data tables in the database and the entity classes in the system are in a one-to-one correspondence relationship in the embodiment of the present invention, so that the embodiment of the present invention can completely reflect the data structure relationship through the data model diagram and can also reflect the association relationship among the entity classes.
The file difference table module 104 is configured to obtain an updated system data set, and compare the updated system data set with the system data set to be analyzed to obtain a system file difference table.
In detail, after a business system is developed, it needs to be maintained or optimized in function in a later period, and therefore, the business system needs to be updated. In the embodiment of the invention, the updated system data set is a complete set of source codes after the service system is updated.
In detail, the file difference table module 104 is specifically configured to:
acquiring an updated system data set;
dividing the updated system data set according to types to obtain a plurality of subsystem data sets;
traversing each subsystem data set, comparing each file in each subsystem data set with a file with the same name as the file in the system data set to be analyzed by adopting a preset comparison algorithm corresponding to the type according to the type of the subsystem data set, and identifying a modified part of the file in each subsystem data set;
and identifying the modified part in the subsystem data set, and saving the modified part in a file difference table.
The types are divided according to the role of each file, such as an entity class, a service class, a tool class, a configuration class and the like. The file types are different, and the data forms of the files are also different, so different comparison algorithms need to be adopted to compare the files in the data set of the updating system, and the preset comparison algorithm comprises a feature vector comparison method, a semantic analysis comparison method, a similarity comparison algorithm and the like.
Further, the comparing each file in each subsystem dataset with the file in the system dataset to be analyzed, which is consistent with the file name, includes:
judging the type of the subsystem data set;
when the type of the subsystem data set is an entity type, acquiring data of each file in the subsystem data set line by line to obtain comparison data, and acquiring data of files in the system data set to be analyzed, wherein the files are consistent with the file name to obtain original data;
and calculating the similarity of the comparison data and the original data by adopting a similarity comparison algorithm, and identifying the comparison data when the similarity is lower than a preset threshold value. The similarity contrast algorithm is an algorithm which takes continuous character strings as unit blocks, the larger the same unit block is, the more similar the unit block is, and the smaller the unit block of the different part is, the more similar the unit block is, and the similarity value is calculated according to the similarity contrast algorithm.
The file difference table can clearly display the content of each change, so that a user can accurately evaluate the influence of each change on the service logic of the system, the risk caused by unknown changes is reduced, the stability of the system is ensured, and the safety quality of the system is improved.
The display output module 105 is configured to display the system content corresponding to the system data set to be analyzed according to the interface call relationship diagram, the data model diagram, and the system file difference table.
In detail, in the embodiment of the present invention, the obtained interface call relationship diagram, the data model diagram, and the file difference table are merged to obtain a plurality of charts serving as visualization schemes, and system contents corresponding to the system data set to be analyzed are displayed. The interface calling relation diagram, the data model diagram and the file difference table in the visualization scheme are constructed according to the data set of the system to be analyzed, and the system content corresponding to the data set of the system to be analyzed can be displayed in a clear and intuitive mode, so that a user does not need to face complex large-scale code data. The visualization scheme is simple and easy to understand, the system can be further processed conveniently in the follow-up process, and the working efficiency is improved.
Furthermore, a user can check a modified file in the system through the file difference table, check the position and the function of the modified file in the whole system in the interface calling relationship diagram according to the name of the modified file, check the data structure of the modified file through the data model diagram, and determine whether the modified file has influence on other files after being modified.
The visualization scheme in the embodiment of the invention shows each module contained in a complex system code and the internal calling relationship in a chart form, and also shows the whole data structure of the system and the change condition of the system. And a user, such as a developer or a maintainer, can quickly know the basic situation of the service system by browsing the visualization scheme, so that the user can conveniently maintain or optimize the service system subsequently.
Fig. 3 is a schematic structural diagram of an electronic device implementing the system analysis visualization method according to the present invention.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus, and may further comprise a computer program, such as a system analysis visualization program 12, stored in the memory 11 and executable on the processor 10.
The memory 11 includes at least one type of readable storage medium, which includes flash memory, removable hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only to store application software installed in the electronic device 1 and various types of data, such as codes of the system analysis visualization program 12, but also to temporarily store data that has been output or is to be output.
The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (for example, executing a system analysis visualization program, etc.) stored in the memory 11 and calling data stored in the memory 11.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
Fig. 3 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device 1 may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used for establishing a communication connection between the electronic device 1 and other electronic devices.
Optionally, the electronic device 1 may further comprise a user interface, which may be a Display (Display), an input unit (such as a Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the electronic device 1 and for displaying a visualized user interface, among other things.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The system analysis visualization program 12 stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, may implement:
acquiring a data set of a system to be analyzed;
constructing an interface calling relation graph according to the reference relation existing in the system data set to be analyzed;
searching entity class files in the data set of the system to be analyzed, and constructing a data model diagram according to the entity class files;
acquiring an updated system data set, and comparing the updated system data set with the system data set to be analyzed to obtain a system file difference table;
and displaying the system content corresponding to the system data set to be analyzed according to the interface calling relationship diagram, the data model diagram and the system file difference table.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. The computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
Further, the computer usable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any accompanying claims should not be construed as limiting the claim concerned.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A method for system analysis visualization, the method comprising:
acquiring a data set of a system to be analyzed;
constructing an interface calling relation graph according to the reference relation existing in the system data set to be analyzed;
searching entity class files in the data set of the system to be analyzed, and constructing a data model diagram according to the entity class files;
acquiring an updated system data set, and comparing the updated system data set with the system data set to be analyzed to obtain a system file difference table;
and displaying the system content corresponding to the system data set to be analyzed according to the interface calling relationship diagram, the data model diagram and the system file difference table.
2. The system analysis visualization method according to claim 1, wherein the constructing an interface call relationship graph according to the reference relationship between the classes in the system data set to be analyzed comprises:
searching a root file in the data set of the system to be analyzed by using a root searching method, and taking the root file as a root node;
searching the class file which refers to the root class file in the system data set to be analyzed, and taking the class file of the root class file as a child node of the root node;
searching a class file which refers to the class file corresponding to the child node in the system data set to be analyzed, and taking the class file of the class file corresponding to the child node as a next child node of the child node;
and repeating the steps until the searched class file is not referred by other class files, and obtaining the interface call relation diagram corresponding to the system data set to be analyzed.
3. The system analysis visualization method according to claim 2, wherein the finding the root class file in the system dataset to be analyzed by using a root class finding method comprises:
traversing class files in the data set of the system to be analyzed;
extracting the header data of the currently traversed class file;
and if the header data does not refer to other class files, determining the currently traversed class file as a root class file.
4. The system analysis visualization method according to claim 1, wherein said searching for the entity class file in the system dataset to be analyzed comprises:
acquiring class files of which the types are entity classes according to marks preset in the class files in the data set of the system to be analyzed;
and collecting the class files with the types of the entity classes to obtain a plurality of entity class files.
5. The system analysis visualization method according to claim 1, wherein the data model graph includes entities, attributes of the entities, and associations between the entities, and the building of the data model graph according to the entity class file includes:
determining an entity in the data model graph according to the class name of the entity class file;
determining attributes of corresponding entities in the data model graph according to member variables contained in the entity class file;
and adding an association relation for each entity in the data model diagram according to the annotation in the entity class file.
6. The method for visualizing system analysis of claim 1, wherein the obtaining of the updated system dataset and the comparing with the system dataset to be analyzed to obtain the system file difference table comprises:
acquiring an updated system data set;
dividing the updated system data set according to types to obtain a plurality of subsystem data sets;
traversing each subsystem data set, comparing each file in each subsystem data set with a file with the same name as the file in the system data set to be analyzed by adopting a preset comparison algorithm corresponding to the type according to the type of the subsystem data set, and identifying a modified part of the file in each subsystem data set;
and identifying the modified part in the subsystem data set, and saving the modified part in a file difference table.
7. The system analysis visualization method according to claim 6, wherein the preset comparison algorithm comprises a similarity comparison algorithm, and the comparing of each file in each subsystem data set with a file in the system data set to be analyzed, which is consistent with the file name, comprises:
judging the type of the subsystem data set; when the type of the subsystem data set is an entity type, acquiring data of each file in the subsystem data set line by line to obtain comparison data, and acquiring data of files with the same file name in the system data set to be analyzed line by line to obtain original data;
and calculating the similarity of the comparison data and the original data by adopting a similarity comparison algorithm, and identifying the comparison data when the similarity is lower than a preset threshold value.
8. A system analysis visualization apparatus, the apparatus comprising:
the data acquisition module is used for acquiring a data set of the system to be analyzed;
the interface relation call graph module is used for constructing an interface call relation graph according to the reference relation existing in the system data set to be analyzed;
the data model graph module is used for searching the entity class files in the data set of the system to be analyzed and constructing a data model graph according to the entity class files;
the file difference table module is used for acquiring an updated system data set and comparing the updated system data set with the system data set to be analyzed to obtain a system file difference table;
and the display output module is used for displaying the system content corresponding to the system data set to be analyzed according to the interface calling relationship diagram, the data model diagram and the system file difference table.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of system analysis visualization according to any one of claims 1 to 7.
10. A computer-readable storage medium comprising a storage data area and a storage program area, wherein the storage data area stores created data, and the storage program area stores a computer program; wherein the computer program, when executed by a processor, implements the system analysis visualization method according to any of claims 1 to 7.
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| PCT/CN2021/091439 WO2022100032A1 (en) | 2020-11-10 | 2021-04-30 | System analysis visualization method and apparatus, electronic device, and computer readable storage medium |
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