CN113220291A - High-multiplexing code implementation method called through abstract program - Google Patents

High-multiplexing code implementation method called through abstract program Download PDF

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CN113220291A
CN113220291A CN202110478389.0A CN202110478389A CN113220291A CN 113220291 A CN113220291 A CN 113220291A CN 202110478389 A CN202110478389 A CN 202110478389A CN 113220291 A CN113220291 A CN 113220291A
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program
analyzing
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task
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李抒雁
沙涛
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Shanghai Shixiang Culture Communication Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/30Creation or generation of source code
    • G06F8/36Software reuse
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/448Execution paradigms, e.g. implementations of programming paradigms
    • G06F9/4488Object-oriented
    • G06F9/449Object-oriented method invocation or resolution

Abstract

The invention discloses a high-multiplexing code implementation method called by an abstract program, which determines the problem solved by program design; comprehensively analyzing the problems; segmented modular processing; designing each modular implementation; calculating the program design; running a program and analyzing a result; the method and the device have the advantages that after the task problem information is obtained, a user can know the problem to be solved in detail and exactly before designing the program by establishing the problem and analyzing the problem, the follow-up requirement for actually solving the problem can be met more conveniently and quickly after the program is designed, the problem that the task problem information is ambiguous and unclear is avoided, in addition, through analyzing the problem information, people can conveniently and deeply know the subject meaning of the problem, meanwhile, the analysis of the condition factors of the problem is convenient for people to know the additional condition information when the problem is solved, and the program for solving the problem is designed more quickly and conveniently.

Description

High-multiplexing code implementation method called through abstract program
Technical Field
The invention relates to the technical field of program design, in particular to a high-multiplexing code implementation method called by an abstract program.
Background
The program design is a process for providing a program for solving a specific problem, which is an important component in software construction activities, the program design usually uses a certain program design language as a tool, the program under the language is provided, the program design process should include different stages of analysis, design, coding, testing, debugging and the like, professional programmers are often called programmers, any design activity is to seek a balance between various constraints and contradictory requirements, the program design is not exceptional, in the early development of computer technology, because machine resources are expensive, time and space costs of the program are often main factors of design interest, as the rapid development of hardware technology and the increasingly large scale of software are concerned, the factors of structure, maintainability, reusability, expandability and the like of the program are increasingly important, and the abstract method is to state that some methods are abstract in an object-oriented programming language, a method of a concrete method body is not provided, and the abstract method is widely applied to program design;
at present, in the process of program design, due to the lack of deep analysis and processing processes on problem information after task problems are obtained, the meaning corresponding to the problem information and the meaning of actual expression of the problem information are prone to deviation, so that time and labor are wasted when people subsequently judge the problem information solving result, multiple calculation results of the program designed based on the problem information can be caused, and the accuracy of program design is reduced.
Disclosure of Invention
The invention provides a high-multiplexing code implementation method called by an abstract program, which can effectively solve the problems that the corresponding meaning of problem information and the actually expressed meaning are easy to deviate due to the lack of deep analysis and processing process of the problem information after task problems are obtained in the background technology, so that time and labor are wasted when people subsequently judge the problem information solving result, and the program designed based on the problem information has multiple calculation results, and the accuracy of program design is reduced.
In order to achieve the purpose, the invention provides the following technical scheme: a high-multiplexing code implementation method called by an abstract program comprises the following steps:
s1, establishing a problem to be solved by program design;
s2, comprehensively analyzing problems;
s3, sectional modular processing;
s4, designing each modular implementation mode;
s5, calculating program design;
s6, running a program and analyzing the result;
s7, generating a program design statistical form;
in S1, the problem to be solved is determined to be the problem to be solved and the requirement to be met, and it is necessary to ensure that the task is understood in detail and exactly from the beginning, and avoid ambiguous points;
in S2, analyzing the problem refers to performing a complete and careful analysis of the received task problem, researching the conditions given by the task problem, analyzing the target that should be achieved at last, completing the actual analysis of the problem, and determining the type of information that the problem reacts to.
Based on the technical scheme, the problem analysis specifically comprises the steps of analyzing the subject meaning of the problem, analyzing the condition factors of the problem, analyzing the information category of the problem, and classifying, summarizing and processing the problem.
Based on the technical scheme, the problem surface meaning analysis means that the meaning of the direct surface of the problem is subjected to word meaning analysis, meanwhile, the direct word meaning, ambiguity and synonymy indicated by the problem information are judged, and the side meaning information reflected by the problem information is removed step by step in a step-by-step removing mode, so that the word meaning information expressed by the problem information is accurate and unique;
analyzing the condition factors of the problem refers to combing and extracting condition information added in the problem information when the problem is solved, wherein the condition information can be understood as a limitation on the problem solving mode of the problem information, the problem solving is easier in the follow-up process through analyzing the condition information, and meanwhile, after the condition information is analyzed, the condition information is marked so that a problem solving program can be designed according to the problem information and the condition information in the follow-up process.
Based on the technical scheme, the problem classification and induction processing means that the category information corresponding to the problem information is induced according to the analysis result of the subject meaning of the problem information, so that the problem information can be induced into the corresponding category in the statistical database, the problem information can be better inspected in the following process, meanwhile, the problem information of the same type can be conveniently and directly substituted into the statistical database in the following process for comparison and analysis, and the solution result of the relevant problem information can be more quickly determined in the following process;
when problem information is summarized, the problem information is mainly summarized according to sociality, spatial state and carrier property of the problem information, wherein the sociality of the problem information specifically means that the problem information is divided into social information and natural information, the spatial state of the problem information specifically means that the problem information is divided into macroscopic information, mesoscopic information and microscopic information, and the carrier property of the problem information specifically means that the problem information is divided into character information, audio-visual information and physical information.
Based on the above technical solution, in S3, the modular processing refers to a process of dividing a task problem into smaller, relatively independent and interrelated sub-problems layer by layer in order to solve a complex task problem, so as to implement modular processing of the complex problem in a layer-by-layer simplified manner.
Based on the above technical solution, in S4, each modular implementation is designed, and sub-problems after modular processing are mainly processed;
the method specifically comprises the following steps:
A. decomposing a task problem;
B. finding out a solution;
C. and establishing a solution model.
Based on the technical scheme, in the step A, decomposing the task problem means that a complex problem task is decomposed into a plurality of sub-problems which are easy to control and process from the whole situation of the problem, and the sub-problems can be further decomposed and repeated until each sub-problem is easy to solve;
in the step B, finding out a solution means that after the problem is decomposed into a plurality of sub-problems which are easy to solve, a rule for solving the corresponding sub-problem is found according to the decomposed sub-problems, and a solution method is determined;
in the step C, the step of establishing the solution model refers to that after each subproblem finds a corresponding problem solving method, the mathematic language is used for describing each subproblem according to the corresponding problem solving method, and a mathematic formula or a simultaneous equation for solving the problems is listed, namely the mathematic model is established.
Based on the above technical solution, in S5, the step of calculating program design refers to designing an algorithm and specific steps for solving problems according to an established mathematical model for solving problems, translating the algorithm into a language for computer program design, and editing, compiling and connecting a source program;
before translating the algorithm into the language of computer programming, the idea should be well organized, the way of operation or processing should be well designed, namely "algorithm", and finally the algorithm is drawn by a block diagram, one or more steps to be completed are represented by one box, which represents the flow of work, called flow chart, which can make the idea clear and reduce errors in writing programs.
Based on the above technical solution, in S6, running the program and analyzing the result, after translating the algorithm into the language designed by the computer program, running the translated program to obtain the result after the program is run;
after the operation result is obtained, the result is not correct, whether the result is reasonable or not is analyzed, the program is unreasonably debugged, a complex program can pass through the program without being operated on the computer once, the correct result is obtained by repeated trial and modification, and the correct program which can be formally operated is obtained, namely, the fault in the program is found and eliminated by the computer test;
analyzing the result mainly means comparing and analyzing the calculation result and the topic meaning corresponding to the question information, and determining the matching degree of the information expressed by the calculation result and the topic meaning corresponding to the question information so as to determine the correspondence of the calculation result.
Based on the above technical solution, in S7, generating the program design statistical form means that the computer program records the generated computer design program in a form after the computer program is subjected to operation calculation, and specifically includes statistically recording information such as a program name, a program function, an operation environment, loading and starting of the program, data that needs to be input, and a use notice of the computer design program.
Compared with the prior art, the invention has the beneficial effects that:
after the task problem information is acquired, the problem is determined and analyzed, so that a user can know the problem to be solved in detail and exactly before designing a program, the requirement for actually solving the problem can be met more conveniently and quickly after the program is designed, the problem information is prevented from being ambiguous and unclear, people can know the subject meaning of the problem more deeply by analyzing the problem information, and the condition factors of the problem are analyzed to facilitate the people to know the condition information added when the problem is solved, so that the program for solving the problem is designed more quickly and conveniently;
through analyzing the information category of the problem, the problem information is not only convenient to classify and summarize, but also the problem information of the same type can be timely directly substituted into a statistical database for comparative analysis after the subsequent similar problem information is encountered by people, so that the subsequent faster solution and solution of the relevant problem information can be determined, and the user is also convenient to design the program of the similar problem information subsequently.
After the task problem is analyzed and before the program is designed, the task problem can be started from the whole situation in a modularized mode, a complex problem task is decomposed into a plurality of sub-problems which are easy to control and process, the sub-problems are further decomposed, the task problem is decomposed in a modularized mode, each sub-problem is conveniently and quickly solved, rules for solving the corresponding sub-problems are conveniently found according to the decomposed sub-problems, the problem solving method is determined, and then the corresponding solving program is conveniently designed according to the subsequent problem solving method, so that the task problem is more modularized and simpler in the solving process according to the design program, and the task problem processing idea is clearer and more concise.
After a solution program of a task problem is designed, in the program running process, a plurality of calculation results of the task problem can be obtained through a plurality of running calculation modes, the results are analyzed, whether the program designed based on the abstract method is reasonable or not is judged according to the analysis results, the program is debugged when the result is judged to be unreasonable, and the correct program for formal running is obtained through repeated trial calculation and modification, so that the correspondence between the program design and the solution problem is ensured, and the accuracy of the program running and the accuracy of the solution problem result are further ensured.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
FIG. 1 is a flow chart of the steps of the design method of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example (b): as shown in fig. 1, the present invention provides a technical solution, and a method for implementing a high-multiplexing code called by an abstract program includes the following steps:
s1, establishing a problem to be solved by program design;
s2, comprehensively analyzing problems;
s3, sectional modular processing;
s4, designing each modular implementation mode;
s5, calculating program design;
s6, running a program and analyzing the result;
s7, generating a program design statistical form;
in S1, the problem to be solved is determined by determining the problem to be solved and the requirement to be met, and it is necessary to ensure that it is known in detail and exactly at the beginning of the task, so as to avoid ambiguous and ambiguous points;
in S2, analyzing the question refers to performing a complete and careful analysis of the received task question, researching the conditions given by the task question, analyzing the target that should be achieved at the end, completing the actual analysis of the question, and determining the type of information that the question reflects.
Based on the technical scheme, the problem analysis specifically comprises the steps of analyzing the subject meaning of the problem, analyzing the condition factors of the problem, analyzing the information category of the problem, and classifying, summarizing and processing the problem.
Based on the technical scheme, the problem surface meaning analysis means that the meaning of the direct surface of the problem is subjected to word meaning analysis, meanwhile, the direct word meaning, ambiguity and synonymy indicated by the problem information are judged, and the side meaning information reflected by the problem information is removed step by step in a step-by-step removing mode, so that the word meaning information expressed by the problem information is accurate and unique;
analyzing the condition factors of the problem refers to combing and extracting condition information added in the problem information when the problem is solved, wherein the condition information can be understood as a limitation on the problem solving mode of the problem information, the problem solving is easier in the follow-up process through analyzing the condition information, and meanwhile, after the condition information is analyzed, the condition information is marked so that a problem solving program can be designed according to the problem information and the condition information in the follow-up process.
Based on the technical scheme, the problem classification and induction processing means that the category information corresponding to the problem information is induced according to the analysis result of the subject meaning of the problem information, so that the problem information can be induced into the corresponding category in the statistical database, the problem information can be better inspected in the following process, meanwhile, the problem information of the same type can be conveniently and directly substituted into the statistical database in the following process for comparison and analysis, and the solution result of the relevant problem information can be more quickly determined in the following process;
when problem information is summarized, the problem information is mainly summarized according to sociality, spatial state and carrier property of the problem information, wherein the sociality of the problem information specifically means that the problem information is divided into social information and natural information, the spatial state of the problem information specifically means that the problem information is divided into macroscopic information, mesoscopic information and microscopic information, and the carrier property of the problem information specifically means that the problem information is divided into character information, audio-visual information and physical information.
Based on the above technical solution, in S3, the modular processing refers to a process of dividing a task problem into smaller, relatively independent and interrelated sub-problems layer by layer in order to solve a complex task problem, and the complex problem is modularly processed in a layer-by-layer simplified manner.
Based on the above technical solution, in S4, each modular implementation is designed, and sub-problems after modular processing are mainly processed;
the method specifically comprises the following steps:
A. decomposing a task problem;
B. finding out a solution;
C. and establishing a solution model.
Based on the technical scheme, in the step A, decomposing the task problem means that a complex problem task is decomposed into a plurality of sub-problems which are easy to control and process from the whole situation of the problem, the sub-problems can be further decomposed, and the steps are repeated until each sub-problem is easy to solve;
in the step B, finding out a solution means that after the problem is decomposed into a plurality of sub-problems which are easy to solve, a rule for solving the corresponding sub-problem is found according to the decomposed sub-problems, and a solution method is determined;
in step C, the step of establishing the solution model means that after each subproblem finds a corresponding problem solving method, a mathematical language is used to describe each subproblem according to the corresponding problem solving method, and a mathematical formula or a simultaneous equation for solving the problems is listed, that is, the mathematical model is established.
Based on the above technical solution, in S5, the step of designing a problem solving algorithm and specific steps according to the established problem solving mathematical model, translating the algorithm into a computer programming language, and editing, compiling and connecting the source program;
before translating the algorithm into the language of computer programming, the idea should be well organized, the way of operation or processing should be well designed, namely "algorithm", and finally the algorithm is drawn by a block diagram, one or more steps to be completed are represented by one box, which represents the flow of work, called flow chart, which can make the idea clear and reduce errors in writing programs.
Based on the above technical solution, in S6, running the program and analyzing the result, after translating the algorithm into the language designed by the computer program, running the translated program to obtain the result after the program is run;
after the operation result is obtained, the result is not correct, whether the result is reasonable or not is analyzed, the program is unreasonably debugged, a complex program can pass through the program without being operated on the computer once, the correct result is obtained by repeated trial and modification, and the correct program which can be formally operated is obtained, namely, the fault in the program is found and eliminated by the computer test;
analyzing the result mainly means comparing and analyzing the calculation result and the topic meaning corresponding to the question information, and determining the matching degree of the information expressed by the calculation result and the topic meaning corresponding to the question information so as to determine the correspondence of the calculation result.
Based on the above technical solution, in S7, generating the program design statistical form means that the computer program records the generated computer design program in a form after the computer program is subjected to the operation calculation, and specifically includes statistically recording information such as a program name, a program function, an operation environment, loading and starting of the program, data that needs to be input, and a use notice of the computer design program.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A high-multiplexing code implementation method called by an abstract program is characterized in that: the method comprises the following steps:
s1, establishing a problem to be solved by program design;
s2, comprehensively analyzing problems;
s3, sectional modular processing;
s4, designing each modular implementation mode;
s5, calculating program design;
s6, running a program and analyzing the result;
s7, generating a program design statistical form;
in S1, the problem to be solved is determined to be the problem to be solved and the requirement to be met, and it is necessary to ensure that the task is understood in detail and exactly from the beginning, and avoid ambiguous points;
in S2, analyzing the problem refers to performing a complete and careful analysis of the received task problem, researching the conditions given by the task problem, analyzing the target that should be achieved at last, completing the actual analysis of the problem, and determining the type of information that the problem reacts to.
2. The method of claim 1, wherein the abstract program calls the code to implement the method in a highly multiplexed manner, and the method further comprises: the analyzing the problem specifically comprises analyzing the subject meaning of the problem, analyzing the condition factors of the problem, analyzing the information category of the problem and classifying and summarizing the problem.
3. The method of claim 2, wherein the abstract program calls the code to implement the method in a highly multiplexed manner, and the method further comprises: analyzing the meaning of the subject face of the problem refers to analyzing the meaning of the direct surface of the problem, judging the direct meaning, ambiguity and synonymy indicated by the problem information, and gradually eliminating the side meaning information reacted by the problem information in a step-by-step eliminating mode to ensure that the meaning information expressed by the problem information is accurate and unique;
analyzing the condition factors of the problem refers to combing and extracting condition information added in the problem information when the problem is solved, wherein the condition information can be understood as a limitation on the problem solving mode of the problem information, the problem solving is easier in the follow-up process through analyzing the condition information, and meanwhile, after the condition information is analyzed, the condition information is marked so that a problem solving program can be designed according to the problem information and the condition information in the follow-up process.
4. The method of claim 2, wherein the abstract program calls the code to implement the method in a highly multiplexed manner, and the method further comprises: the problem classification and induction processing means that the category information corresponding to the problem information is induced according to the analysis result of the subject meaning of the problem information, so that the problem information can be induced into the corresponding category in the statistical database, the problem information can be better inspected subsequently, and meanwhile, the problem information of the same type can be conveniently and subsequently directly substituted into the statistical database for comparative analysis, so that the solution result of the relevant problem information can be more quickly determined subsequently;
when problem information is summarized, the problem information is mainly summarized according to sociality, spatial state and carrier property of the problem information, wherein the sociality of the problem information specifically means that the problem information is divided into social information and natural information, the spatial state of the problem information specifically means that the problem information is divided into macroscopic information, mesoscopic information and microscopic information, and the carrier property of the problem information specifically means that the problem information is divided into character information, audio-visual information and physical information.
5. The method of claim 1, wherein the abstract program calls the code to implement the method in a highly multiplexed manner, and the method further comprises: in S3, the modular processing refers to a process of dividing the task problem into smaller, relatively independent, and mutually associated sub-problems layer by layer to solve a complex task problem, so as to implement modular processing of the complex problem in a layer-by-layer simplified manner.
6. The method of claim 1, wherein the abstract program calls the code to implement the method in a highly multiplexed manner, and the method further comprises: in the step S4, each modular implementation is designed, and sub-problems after modular processing are mainly processed;
the method specifically comprises the following steps:
A. decomposing a task problem;
B. finding out a solution;
C. and establishing a solution model.
7. The method of claim 6, wherein the abstract program calls the code to implement the method in a highly multiplexed manner, and wherein: in the step A, decomposing the task problem means that a complex problem task is decomposed into a plurality of sub-problems which are easy to control and process from the whole situation of the problem, and the sub-problems can be further decomposed and repeated until each sub-problem is easy to solve;
in the step B, finding out a solution means that after the problem is decomposed into a plurality of sub-problems which are easy to solve, a rule for solving the corresponding sub-problem is found according to the decomposed sub-problems, and a solution method is determined;
in the step C, the step of establishing the solution model refers to that after each subproblem finds a corresponding problem solving method, the mathematic language is used for describing each subproblem according to the corresponding problem solving method, and a mathematic formula or a simultaneous equation for solving the problems is listed, namely the mathematic model is established.
8. The method of claim 7, wherein the abstract program calls the code to implement the method in a highly multiplexed manner, and the method further comprises: in S5, the step of designing a computer program refers to designing a problem solving algorithm and specific steps according to the established problem solving mathematical model, translating the algorithm into a computer program design language, and editing, compiling and connecting a source program;
before translating the algorithm into the language of computer programming, the idea should be well organized, the way of operation or processing should be well designed, namely "algorithm", and finally the algorithm is drawn by a block diagram, one or more steps to be completed are represented by one box, which represents the flow of work, called flow chart, which can make the idea clear and reduce errors in writing programs.
9. The method of claim 1, wherein the abstract program calls the code to implement the method in a highly multiplexed manner, and the method further comprises: in S6, running the program and analyzing the result, and after translating the algorithm into the language designed by the computer program, running the translated program to obtain a result after the program is run;
after the operation result is obtained, the result is not correct, whether the result is reasonable or not is analyzed, the program is unreasonably debugged, a complex program can pass through the program without being operated on the computer once, the correct result is obtained by repeated trial and modification, and the correct program which can be formally operated is obtained, namely, the fault in the program is found and eliminated by the computer test;
analyzing the result mainly means comparing and analyzing the calculation result and the topic meaning corresponding to the question information, and determining the matching degree of the information expressed by the calculation result and the topic meaning corresponding to the question information so as to determine the correspondence of the calculation result.
10. The method of claim 1, wherein the abstract program calls the code to implement the method in a highly multiplexed manner, and the method further comprises: in S7, generating the program design statistical form means that the computer program records the generated computer design program in a form after running calculation, and specifically includes statistically recording information such as a program name, a program function, a running environment, loading and starting of the program, data that needs to be input, and usage notes of the computer design program.
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