CN116795330A - Method and system for developing storage software of compiling computer based on software development kit - Google Patents
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Abstract
The application belongs to the field of software development, and relates to a data analysis technology, in particular to a compiling computer storage software development method and system based on a software development kit, comprising a software development platform, wherein the software development platform is in communication connection with a demand analysis module, a compiling analysis module, a test prediction module and a storage module; the demand analysis module is used for analyzing software development demands of users: decomposing the software development requirement uploaded by a user into a plurality of sub-requirements, and acquiring a requirement set through a storage module, wherein the requirement set comprises all requirements of the software development platform for historical development of software; the application can analyze the software development requirements of users, compares the sub-requirements with the requirement sets, marks the sub-requirements through the comparison result, calculates the number of the existing requirements and the number of the innovative requirements to obtain the requirement coefficient, and feeds back the difficulty degree of the software development through the requirement coefficient.
Description
Technical Field
The application belongs to the field of software development, relates to a data analysis technology, and in particular relates to a method and a system for developing compiled computer storage software based on a software development kit.
Background
Software development is the process of building a software system or software parts of a system according to user requirements. Software development is a system project that includes demand capture, demand analysis, design, implementation, and testing, and is typically implemented in a programming language, typically developed using software development tools.
The existing compiling computer storage software development system does not have the development difficulty analysis on development requirements set by users, so that the whole development difficulty of software cannot be predicted in the initial stage of software development, the project online time is difficult to control, and the online success rate cannot be intuitively displayed for the users.
The application provides a solution to the technical problem.
Disclosure of Invention
The application aims to provide a method and a system for developing storage software of a compiling computer based on a software development kit, which are used for solving the problem that the existing system for developing storage software of the compiling computer cannot predict the whole development difficulty of software at the initial stage of software development;
the technical problems to be solved by the application are as follows: how to provide a method and a system for developing compiled computer storage software based on a software development kit, which can predict the overall development difficulty of software in the initial stage of software development.
The aim of the application can be achieved by the following technical scheme:
the compiling computer storage software development system based on the software development kit comprises a software development platform, wherein the software development platform is in communication connection with a demand analysis module, a compiling analysis module, a test prediction module and a storage module;
the demand analysis module is used for analyzing software development demands of users: decomposing the software development requirement uploaded by a user into a plurality of sub-requirements, and acquiring a requirement set through a storage module, wherein the requirement set comprises all requirements of the software development platform for historical development of software; comparing the sub-requirements with all elements in the requirement set, and marking the sub-requirements as existing requirements or innovative requirements through comparison results; acquiring a demand coefficient XQ of the software development demand and judging whether the software development demand meets the normal demand or not through the demand coefficient XQ;
the compiling analysis module is used for compiling the received software development kit by a computer;
the test prediction module is used for performing prediction analysis on test data of software development: the method comprises the steps of obtaining the demand coefficient XQ of all historical development software of a software development platform through a storage module, marking the demand coefficient XQ as a historical value, forming a historical set by the maximum value and the minimum value of the historical value, dividing the historical set into a plurality of historical intervals, calling the test coefficient CS of the historical interval corresponding to the demand coefficient XQ of the software development demand, marking the test coefficient CS as a prediction coefficient, generating a prediction data set or a demand regulating signal through the prediction coefficient, and sending the prediction data set or the demand regulating signal to the software development platform.
As a preferred embodiment of the application, the specific process of comparing the sub-requirements with all elements in the requirement set comprises the following steps: if the requirement set contains the same element as the sub-requirement, marking the corresponding sub-requirement as the existing requirement; if the requirement set does not contain the same element as the sub-requirement, the corresponding sub-requirement is marked as an innovation requirement.
As a preferred embodiment of the application, the specific process for judging whether the software development requirement meets the normal requirement comprises the following steps: the method comprises the steps of marking the number of existing requirements and innovation requirements in software development requirements as an existing value XY and an innovation value CX respectively, and obtaining a requirement coefficient XQ of the software development requirements by carrying out numerical calculation on the existing value XY and the innovation value CX; the method comprises the steps of obtaining a demand threshold XQmax through a storage module, and comparing a demand coefficient XQ of software development demands with the demand threshold XQmax: if the demand coefficient XQ is smaller than the demand threshold XQmax, judging that the software development demand meets the normal demand, generating a development signal and sending the development signal to a software development platform, sending the development signal to a mobile phone terminal of a developer after the software development platform receives the development signal, performing software development according to the software development demand after the developer receives the development signal, uploading a software development package to the software development platform after the development is completed, and sending the software development package to a compiling analysis module after the software development platform receives the software development package; if the demand coefficient XQ is greater than or equal to the demand threshold XQmax, judging that the software development demand does not meet the normal demand, generating a test prediction signal and sending the test prediction signal to a software development platform, and after receiving the test prediction signal, the software development platform sends the test prediction signal to a test prediction module.
As a preferred embodiment of the application, the specific process of computer compiling the received software development kit by the compiling analysis module comprises the following steps: dividing the input program code into a plurality of morphemes according to a certain rule, wherein each morpheme consists of a word, a symbol or a number; converting the morpheme sequence into an abstract syntax tree AST; an abstract syntax tree AST is a tree structure representing a program syntax structure; converting abstract grammar tree AST into intermediate code, wherein the intermediate code is a code irrelevant to computer hardware and machine, and the intermediate code is an abstract instruction set and consists of three-address instructions; the intermediate code is converted into object code, which is code that can be directly executed by a computer.
As a preferred embodiment of the present application, the process of obtaining the prediction coefficients of the history section includes: the acquisition process of the broken line data DX, the secondary data CC and the delay data YQ in the history interval comprises the following steps: the development duration in the history interval is not less than L1 hours, and the number of the historical development soft pieces which are not on line is cut off when the current system time is not finished; the acquisition process of the secondary measurement data CC comprises the following steps: summing the test times of all the historical development software in the historical interval and taking an average value to obtain test times CC; the acquisition process of the delay data YQ comprises the following steps: marking the number of the history development software which is not on line in the set time in the history interval as delay data YQ; obtaining a test coefficient CS of a history interval by carrying out numerical calculation on the disconnection data DX, the secondary measurement data CC and the delay data YQ; and calling a test coefficient CS of a history interval corresponding to a demand coefficient XQ of the software development demand and marking the test coefficient CS as a prediction coefficient.
As a preferred embodiment of the present application, the specific process of generating the predicted data set or demand conditioning signal comprises: the storage module acquires a prediction threshold value, and compares the prediction coefficient with the prediction threshold value: if the prediction coefficient is smaller than the prediction threshold value, a prediction data set is formed by the disconnection data DX, the secondary data CC and the delay data YQ, the prediction data set is sent to a software development platform, and the software development platform sends the received prediction data set to a mobile phone terminal of a user; if the prediction coefficient is greater than or equal to the prediction threshold value, generating a demand regulation signal and sending the demand regulation signal to a software development platform, and after receiving the demand regulation signal, the software development platform sends the demand regulation signal to a mobile phone terminal of a user.
A compiling computer storage software development method based on a software development kit comprises the following steps:
step one: analyzing the software development requirements of the user: decomposing the software development requirement uploaded by a user into a plurality of sub-requirements, and acquiring a requirement set through a storage module, wherein the requirement set comprises all requirements of the software development platform for historical development of software; comparing the sub-requirement with all elements in the requirement set, and marking the sub-requirement as the existing requirement or the innovative requirement through a comparison result;
step two: carrying out numerical calculation on the number of the existing requirements and the number of the innovative requirements to obtain a requirement coefficient XQ, and judging whether the software development requirements meet the normal requirements or not according to the numerical value of the requirement coefficient XQ;
step three: computer compiling is carried out on the software development kit uploaded by the received developer: dividing an input program code into a plurality of morphemes according to a certain rule; converting the morpheme sequence into an abstract syntax tree AST; converting the AST into an intermediate code; converting the intermediate code into object code;
step four: predictive analysis of test data for software development: the method comprises the steps of obtaining the demand coefficients XQ of all historical development software of a software development platform through a storage module, marking the demand coefficients XQ as historical values, forming a historical set by the maximum value and the minimum value of the historical values, dividing the historical set into a plurality of historical intervals, obtaining disconnection data DX, test time data CC and delay data YQ of the historical intervals, performing numerical value calculation to obtain test coefficients CS, generating a prediction data set or a demand regulation signal through the test coefficients CS, and sending the prediction data set or the demand regulation signal to a mobile phone terminal of a user.
The application has the following beneficial effects:
the software development requirements of the user can be analyzed through the requirement analysis module, sub-requirements and the requirement sets are compared and marked through comparison results, numerical calculation is carried out according to the number of the existing requirements and the number of the innovative requirements to obtain a requirement coefficient, and the difficulty degree of the software development is fed back through the requirement coefficient;
the software development kit can be compiled by a compiling analysis module by a computer, a high-level language program is translated into a program of a machine language instruction set which can be understood by the computer, and the program can be translated into machine languages used by different CPUs by using a proper compiler or a compiler set due to the fact that instruction systems and coding formats used by different CPU manufacturers are different and the program is matched with a specific type of CPU by the compiling analysis module;
the test prediction module can be used for performing prediction analysis on test data of software development, performing data statistics on demand coefficients of historical development software, then calculating the test coefficients of each historical interval, and feeding back the on-line difficulty of the project through the test coefficients, so that data support is provided for the demand regulation necessity of users according to the test coefficients.
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In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present application;
fig. 2 is a flowchart of a method according to a second embodiment of the application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Examples: as shown in fig. 1, the compiling computer based on the software development kit stores a software development system, which comprises a software development platform, wherein the software development platform is in communication connection with a demand analysis module, a compiling analysis module, a test prediction module and a storage module.
The demand analysis module is used for analyzing the software development demands of the users: decomposing the software development requirement uploaded by a user into a plurality of sub-requirements, and acquiring a requirement set through a storage module, wherein the requirement set comprises all requirements of the software development platform for historical development of software; comparing the sub-requirements with all elements in the requirement set: if the requirement set contains the same element as the sub-requirement, marking the corresponding sub-requirement as the existing requirement; if the requirement set does not contain the same element as the sub-requirement, marking the corresponding sub-requirement as an innovation requirement; the method comprises the steps of marking the quantity of existing requirements and innovation requirements in software development requirements as an existing value XY and an innovation value CX respectively, and obtaining a requirement coefficient XQ of the software development requirements through a formula XQ=α1xXY+α2CX, wherein α1 and α2 are proportionality coefficients, and α2 is larger than α1 and larger than 1; the method comprises the steps of obtaining a demand threshold XQmax through a storage module, and comparing a demand coefficient XQ of software development demands with the demand threshold XQmax: if the demand coefficient XQ is smaller than the demand threshold XQmax, judging that the software development demand meets the normal demand, generating a development signal and sending the development signal to a software development platform, sending the development signal to a mobile phone terminal of a developer after the software development platform receives the development signal, performing software development according to the software development demand after the developer receives the development signal, uploading a software development package to the software development platform after the development is completed, and sending the software development package to a compiling analysis module after the software development platform receives the software development package; if the demand coefficient XQ is greater than or equal to the demand threshold XQmax, judging that the software development demand does not meet the normal demand, generating a test prediction signal and sending the test prediction signal to a software development platform, and sending the test prediction signal to a test prediction module after the software development platform receives the test prediction signal; the method comprises the steps of analyzing software development requirements of users, comparing sub-requirements with a requirement set, marking the sub-requirements through comparison results, carrying out numerical calculation according to the number of existing requirements and innovative requirements to obtain a requirement coefficient, and feeding back the difficulty degree of software development through the requirement coefficient.
The compiling analysis module is used for carrying out computer compiling on the received software development kit: dividing the input program code into a plurality of morphemes according to a certain rule, wherein each morpheme usually consists of a word, a symbol or a number; converting the morpheme sequence into an abstract syntax tree AST; syntax tree AST is a tree structure representing the syntax structure of a program, which can clearly represent the relationships of various sentences and expressions in the program; converting an AST into intermediate code, the intermediate code being a machine independent code independent of computer hardware, being an abstract instruction set, typically consisting of three address instructions; the purpose of this step is to convert the high-level programming language into a more abstract, easier-to-translate form, facilitating subsequent translation work; the intermediate code is converted into object code. Object code is machine language associated with particular computer hardware, and is code that a computer can directly execute; the software development kit is compiled by a computer, a high-level language program is translated into a program of a machine language instruction set which can be understood by the computer, and the program can be translated into the machine language used by different CPUs by using a proper compiler or compiler set through the computer compiling to be matched with the specific type of CPU due to different instruction systems and coding formats used by different CPU manufacturers.
The test prediction module is used for performing prediction analysis on test data of software development: the method comprises the steps that a storage module is used for acquiring the demand coefficient XQ of all historical development software of a software development platform and marking the demand coefficient XQ as a historical value, a historical set is formed by the maximum value and the minimum value of the historical value, the historical set is divided into a plurality of historical intervals, broken line data DX, test time data CC and delay data YQ of the historical intervals are acquired, and the acquisition process of the broken line data DX comprises the following steps: the development duration in the history interval is not less than L1 hours, and the number of the historical development soft pieces which are not on line is cut off when the current system time is not finished; the acquisition process of the secondary measurement data CC comprises the following steps: summing the test times of all the historical development software in the historical interval and taking an average value to obtain test times CC; the acquisition process of the delay data YQ comprises the following steps: marking the number of the history development software which is not on line in the set time in the history interval as delay data YQ; obtaining a test coefficient CS of a history interval through a formula CS=β1DX+β2CC+β3YQ, wherein β1, β2 and β3 are all proportional coefficients, and β1 > β2 > β3 > 1; the method comprises the steps of calling a test coefficient CS of a history interval corresponding to a demand coefficient XQ of software development demands, marking the test coefficient CS as a prediction coefficient, acquiring a prediction threshold value through a storage module, and comparing the prediction coefficient with the prediction threshold value: if the prediction coefficient is smaller than the prediction threshold value, a prediction data set is formed by the disconnection data DX, the secondary data CC and the delay data YQ, the prediction data set is sent to a software development platform, and the software development platform sends the received prediction data set to a mobile phone terminal of a user; if the prediction coefficient is greater than or equal to the prediction threshold value, generating a demand regulation signal and sending the demand regulation signal to a software development platform, and after receiving the demand regulation signal, the software development platform sends the demand regulation signal to a mobile phone terminal of a user; and carrying out predictive analysis on test data of software development, carrying out data statistics on demand coefficients of historical development software, then calculating the test coefficients of each historical interval, and feeding back the online difficulty of the project through the test coefficients, so that data support is provided for the user's demand regulation necessity according to the test coefficients.
Examples: as shown in fig. 2, the compiling computer storage software development method based on the software development kit includes the following steps:
step one: analyzing the software development requirements of the user: decomposing the software development requirement uploaded by a user into a plurality of sub-requirements, and acquiring a requirement set through a storage module, wherein the requirement set comprises all requirements of the software development platform for historical development of software; comparing the sub-requirement with all elements in the requirement set, and marking the sub-requirement as the existing requirement or the innovative requirement through a comparison result;
step two: carrying out numerical calculation on the number of the existing requirements and the number of the innovative requirements to obtain a requirement coefficient XQ, and judging whether the software development requirements meet the normal requirements or not according to the numerical value of the requirement coefficient XQ;
step three: computer compiling is carried out on the software development kit uploaded by the received developer: dividing an input program code into a plurality of morphemes according to a certain rule; converting the morpheme sequence into an abstract syntax tree AST; converting the AST into an intermediate code; converting the intermediate code into object code;
step four: predictive analysis of test data for software development: the method comprises the steps of obtaining the demand coefficients XQ of all historical development software of a software development platform through a storage module, marking the demand coefficients XQ as historical values, forming a historical set by the maximum value and the minimum value of the historical values, dividing the historical set into a plurality of historical intervals, obtaining disconnection data DX, test time data CC and delay data YQ of the historical intervals, performing numerical value calculation to obtain test coefficients CS, generating a prediction data set or a demand regulation signal through the test coefficients CS, and sending the prediction data set or the demand regulation signal to a mobile phone terminal of a user.
The method and the system for storing the software development by the compiling computer based on the software development kit are characterized in that when in operation, the software development requirement uploaded by a user is decomposed into a plurality of sub-requirements, a requirement set is obtained through a storage module, and the requirement set contains all requirements of the software development platform for historically developing the software; comparing the sub-requirement with all elements in the requirement set, and marking the sub-requirement as the existing requirement or the innovative requirement through a comparison result; carrying out numerical calculation on the number of the existing requirements and the number of the innovative requirements to obtain a requirement coefficient XQ, and judging whether the software development requirements meet the normal requirements or not according to the numerical value of the requirement coefficient XQ; dividing an input program code into a plurality of morphemes according to a certain rule; converting the morpheme sequence into an abstract syntax tree AST; converting the AST into an intermediate code; converting the intermediate code into object code; the method comprises the steps of obtaining the demand coefficients XQ of all historical development software of a software development platform through a storage module, marking the demand coefficients XQ as historical values, forming a historical set by the maximum value and the minimum value of the historical values, dividing the historical set into a plurality of historical intervals, obtaining disconnection data DX, test time data CC and delay data YQ of the historical intervals, performing numerical value calculation to obtain test coefficients CS, generating a prediction data set or a demand regulation signal through the test coefficients CS, and sending the prediction data set or the demand regulation signal to a mobile phone terminal of a user.
The foregoing is merely illustrative of the structures of this application and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the application or from the scope of the application as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: formula cs=β1×dx+β2×cc+β3×yq; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding test coefficient for each group of sample data; substituting the set test coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of beta 1, beta 2 and beta 3 of 4.68, 2.51 and 2.29 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding test coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the test coefficient is in direct proportion to the value of the broken line data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The compiling computer storage software development system based on the software development kit is characterized by comprising a software development platform, wherein the software development platform is in communication connection with a demand analysis module, a compiling analysis module, a test prediction module and a storage module;
the demand analysis module is used for analyzing software development demands of users: decomposing the software development requirement uploaded by a user into a plurality of sub-requirements, and acquiring a requirement set through a storage module, wherein the requirement set comprises all requirements of the software development platform for historical development of software; comparing the sub-requirements with all elements in the requirement set, and marking the sub-requirements as existing requirements or innovative requirements through comparison results; acquiring a demand coefficient XQ of the software development demand and judging whether the software development demand meets the normal demand or not through the demand coefficient XQ;
the compiling analysis module is used for compiling the received software development kit by a computer;
the test prediction module is used for performing prediction analysis on test data of software development: the method comprises the steps of obtaining the demand coefficient XQ of all historical development software of a software development platform through a storage module, marking the demand coefficient XQ as a historical value, forming a historical set by the maximum value and the minimum value of the historical value, dividing the historical set into a plurality of historical intervals, calling the test coefficient CS of the historical interval corresponding to the demand coefficient XQ of the software development demand, marking the test coefficient CS as a prediction coefficient, generating a prediction data set or a demand regulating signal through the prediction coefficient, and sending the prediction data set or the demand regulating signal to the software development platform.
2. The software development kit-based compiled computer storage software development system of claim 1, wherein the specific process of comparing sub-requirements to all elements in the set of requirements comprises: if the requirement set contains the same element as the sub-requirement, marking the corresponding sub-requirement as the existing requirement; if the requirement set does not contain the same element as the sub-requirement, the corresponding sub-requirement is marked as an innovation requirement.
3. The system for developing software based on a compiled computer storage of a software development kit according to claim 2, wherein the specific process of determining whether the software development requirements meet the normal requirements comprises: the method comprises the steps of marking the number of existing requirements and innovation requirements in software development requirements as an existing value XY and an innovation value CX respectively, and obtaining a requirement coefficient XQ of the software development requirements by carrying out numerical calculation on the existing value XY and the innovation value CX; the method comprises the steps of obtaining a demand threshold XQmax through a storage module, and comparing a demand coefficient XQ of software development demands with the demand threshold XQmax: if the demand coefficient XQ is smaller than the demand threshold XQmax, judging that the software development demand meets the normal demand, generating a development signal and sending the development signal to a software development platform, sending the development signal to a mobile phone terminal of a developer after the software development platform receives the development signal, performing software development according to the software development demand after the developer receives the development signal, uploading a software development package to the software development platform after the development is completed, and sending the software development package to a compiling analysis module after the software development platform receives the software development package; if the demand coefficient XQ is greater than or equal to the demand threshold XQmax, judging that the software development demand does not meet the normal demand, generating a test prediction signal and sending the test prediction signal to a software development platform, and after receiving the test prediction signal, the software development platform sends the test prediction signal to a test prediction module.
4. The software development system of claim 3, wherein the compilation analysis module compiles the received software development kit by computer comprising: dividing the input program code into a plurality of morphemes according to a certain rule, wherein each morpheme consists of a word, a symbol or a number; converting the morpheme sequence into an abstract syntax tree AST; an abstract syntax tree AST is a tree structure representing a program syntax structure; converting abstract grammar tree AST into intermediate code, wherein the intermediate code is a code irrelevant to computer hardware and machine, and the intermediate code is an abstract instruction set and consists of three-address instructions; the intermediate code is converted into object code, which is code that can be directly executed by a computer.
5. The system for developing software based on a compiling computer storage of a software development kit according to claim 4, wherein the process for obtaining the prediction coefficients of the history window comprises: the acquisition process of the broken line data DX, the secondary data CC and the delay data YQ in the history interval comprises the following steps: the development duration in the history interval is not less than L1 hours, and the number of the historical development soft pieces which are not on line is cut off when the current system time is not finished; the acquisition process of the secondary measurement data CC comprises the following steps: summing the test times of all the historical development software in the historical interval and taking an average value to obtain test times CC; the acquisition process of the delay data YQ comprises the following steps: marking the number of the history development software which is not on line in the set time in the history interval as delay data YQ; obtaining a test coefficient CS of a history interval by carrying out numerical calculation on the disconnection data DX, the secondary measurement data CC and the delay data YQ; and calling a test coefficient CS of a history interval corresponding to a demand coefficient XQ of the software development demand and marking the test coefficient CS as a prediction coefficient.
6. The software development kit-based compiling computer storage software development system of claim 5 wherein the specific process of generating the predictive dataset or the demand conditioning signal comprises: the storage module acquires a prediction threshold value, and compares the prediction coefficient with the prediction threshold value: if the prediction coefficient is smaller than the prediction threshold value, a prediction data set is formed by the disconnection data DX, the secondary data CC and the delay data YQ, the prediction data set is sent to a software development platform, and the software development platform sends the received prediction data set to a mobile phone terminal of a user; if the prediction coefficient is greater than or equal to the prediction threshold value, generating a demand regulation signal and sending the demand regulation signal to a software development platform, and after receiving the demand regulation signal, the software development platform sends the demand regulation signal to a mobile phone terminal of a user.
7. The method for developing the storage software of the compiling computer based on the software development kit is characterized by comprising the following steps:
step one: analyzing the software development requirements of the user: decomposing the software development requirement uploaded by a user into a plurality of sub-requirements, and acquiring a requirement set through a storage module, wherein the requirement set comprises all requirements of the software development platform for historical development of software; comparing the sub-requirement with all elements in the requirement set, and marking the sub-requirement as the existing requirement or the innovative requirement through a comparison result;
step two: carrying out numerical calculation on the number of the existing requirements and the number of the innovative requirements to obtain a requirement coefficient XQ, and judging whether the software development requirements meet the normal requirements or not according to the numerical value of the requirement coefficient XQ;
step three: computer compiling is carried out on the software development kit uploaded by the received developer: dividing an input program code into a plurality of morphemes according to a certain rule; converting the morpheme sequence into an abstract syntax tree AST; converting the AST into an intermediate code; converting the intermediate code into object code;
step four: predictive analysis of test data for software development: the method comprises the steps of obtaining the demand coefficients XQ of all historical development software of a software development platform through a storage module, marking the demand coefficients XQ as historical values, forming a historical set by the maximum value and the minimum value of the historical values, dividing the historical set into a plurality of historical intervals, obtaining disconnection data DX, test time data CC and delay data YQ of the historical intervals, performing numerical value calculation to obtain test coefficients CS, generating a prediction data set or a demand regulation signal through the test coefficients CS, and sending the prediction data set or the demand regulation signal to a mobile phone terminal of a user.
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