CN115358642A - Intelligent auxiliary method and system for software development - Google Patents
Intelligent auxiliary method and system for software development Download PDFInfo
- Publication number
- CN115358642A CN115358642A CN202211287563.4A CN202211287563A CN115358642A CN 115358642 A CN115358642 A CN 115358642A CN 202211287563 A CN202211287563 A CN 202211287563A CN 115358642 A CN115358642 A CN 115358642A
- Authority
- CN
- China
- Prior art keywords
- development
- time
- software
- program
- analysis
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063118—Staff planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06316—Sequencing of tasks or work
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Stored Programmes (AREA)
Abstract
The invention relates to the technical field of data processing, which is used for solving the problems that the working quality and efficiency of software assembly operation are greatly influenced in the current software development process aiming at large-scale program assembly, except that hardware equipment such as a computer for assembly has relatively high requirement, the labor intensity of workers is high, and the working efficiency is low; the software development intelligent auxiliary system comprises a development distribution module, an intelligent auxiliary platform, a personnel distribution module, a development analysis module and a software test module; according to the intelligent auxiliary system for software development, software programs and developers are reasonably distributed, so that the software development efficiency and the software development quality are guaranteed, the error times are reduced, automatic distribution is realized, the intelligent degree is high, and the working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an intelligent auxiliary method and system for software development.
Background
Currently, with the rapid development of the internet, cloud computing and big data technology, more and more application software related to cloud computing should be delivered, and a lot of convenience is provided for the life and work of people.
However, the current software development mode still maintains the traditional development mode to a great extent, and the whole process of software development needs to repeatedly develop a large amount of various services, so that the software development efficiency is low, the development cost is high, the current development trend of the internet era is difficult to adapt, and the rapid development of software development enterprises is limited.
Patent with application number CN201610570903.2 discloses a software development auxiliary system, method and software development system, the system includes: the micro service library is used for integrating pre-developed micro services; and a service providing interface for obtaining a micro service request instruction sent by a user terminal in a software development process, responding to the micro service request instruction, and providing a micro service corresponding to the micro service request instruction to the user terminal by using a micro service library, wherein the system develops the micro service in advance, and integrates the micro service obtained after the development into the micro service library, when the user terminal needs to use a specific micro service, the user terminal can send a corresponding micro service request instruction to obtain the corresponding micro service from the micro service library, and the same micro service does not need to be repeatedly developed in the development process of each software, so that the software development efficiency is improved, the software development cost is reduced, and the following defects still exist: at present, in software program assembly work, particularly in a large software system which is designed to execute specific functions and has a large number of novel graphics and texts, the total amount of the software program assembly is large, the structure is complex, and in the program assembly process, particularly in large animation and graphics and the like program assembly, hardware equipment requirements of a computer for assembly are relatively high, the labor intensity of workers is high, the working efficiency is low, and the working quality and the working efficiency of the software assembly work are greatly influenced.
Disclosure of Invention
In order to overcome the above technical problems, the present invention aims to provide an intelligent auxiliary method and system for software development: the method comprises the steps of dividing software into a plurality of software programs through a development distribution module, setting development time and completion time of the software programs respectively, obtaining a selected program according to the software programs, the development time and the completion time through an intelligent auxiliary platform, obtaining the category of the selected program through a personnel distribution module, obtaining idle personnel of the category, marking the idle personnel as an analysis object, obtaining a development value and a completion value of the analysis object according to the analysis object through the development analysis module, obtaining a score coefficient according to the development value and the completion value, obtaining a selected object according to the score coefficient, and matching the selected object with the selected program through the personnel distribution module.
The purpose of the invention can be realized by the following technical scheme:
a software development intelligent assistance system, comprising:
the development distribution module is used for dividing the software into a plurality of software programs, respectively setting the development time and the completion time of the software programs, and sending the software programs, the development time and the completion time to the intelligent auxiliary platform;
the intelligent auxiliary platform is used for obtaining the selected program according to the software program, the development time and the completion time and sending the selected program to the personnel distribution module;
the personnel allocation module is used for acquiring the type of the selected program after receiving the selected program, acquiring idle-time personnel of the type, marking the idle-time personnel as analysis objects, sending the analysis objects to the development analysis module, and matching the selected objects with the selected program after the selected objects fed back by the development analysis module;
and the development analysis module is used for acquiring a development value KZ and a completion value WZ of the analysis object according to the analysis object, acquiring a high-score coefficient YF according to the development value KZ and the completion value WZ, acquiring a selected object according to the high-score coefficient YF, and sending the selected object to the personnel distribution module.
As a further scheme of the invention: the specific process of the intelligent auxiliary platform for obtaining the selected program is as follows:
acquiring current time after receiving a software program, development time and completion time, acquiring time difference between the current time and the development time, marking the time difference as a start time difference SC, acquiring time difference between the current time and the completion time, and marking the time difference as a final time difference ZC;
substituting the starting time difference SC and the final time difference ZC into a formula
Obtaining a distribution coefficient FP, wherein q1 and q2 are respectively preset weight coefficients of the start time difference SC and the end time difference ZC, and q1+ q2=1,0 < q2 < q1 < 1;
comparing the distribution coefficient FP with a distribution threshold value FPy, and marking the software program of which the distribution coefficient FP is greater than the distribution threshold value FPy as a pre-program;
arranging the pre-programs according to the sequence of distribution coefficients FP from large to small, and marking the pre-program at the head as a selected program;
and sending the selected program to a personnel distribution module.
As a further scheme of the invention: the specific process of acquiring the analysis object by the personnel allocation module is as follows:
after receiving the selected program, acquiring the category of the selected program, and acquiring all software developers below the category;
and screening idle-time personnel in the software developers, wherein the idle-time personnel indicate that the personnel are in an idle-time state during distribution and are not in a developing state of the software program, marking the idle-time personnel as analysis objects, and sending the analysis objects to a development analysis module.
As a further scheme of the invention: the specific process of acquiring the prime score coefficient YF by the development analysis module is as follows:
acquiring software programs developed in historical data of an analysis object, and sequentially marking the software programs as analysis programs i according to time sequence, wherein i =1, … … and n is a natural number;
acquiring the byte number Ji of the analysis program i;
acquiring development time Si of an analysis program i, wherein the development time represents the time difference from the moment when an analysis object is marked as a selected object to the moment when the selected object completes program testing, acquiring the ratio of the number of bytes Ji to the development time Si, and marking the ratio as an open speed ratio KSi;
acquiring the total byte number Zi of input characters in the development process of an analysis program i, acquiring the ratio of the byte number Ji to the total byte number Zi, and marking the ratio as a repetition ratio CFi;
acquiring the software testing times of an analysis program i, and marking the software testing times as testing values CSi;
acquiring the time when the software program test package completes the program test, marking the time as completion, comparing the completion time with the completion time, if the completion time is earlier than the completion time, adding one to the normal completion time ZC, and if the completion time is later than the completion time, adding one to the overtime completion time CC;
substituting the opening ratio KSi, the repetition ratio CFi and the test value CSi into a formula
Obtaining a development coefficient KFi, and summing the development coefficient KFi to obtain an average value to obtain a development value KZ;
substituting the normal completion times ZC and the overtime completion times CC into a formula
Obtaining a finished value WZ;
substituting the development value KZ and the completion value WZ into a formula
Obtaining a prime score coefficient YF, wherein Qa and Qb are respectively preset proportionality coefficients of a development value KZ and a completion value WZ, and Qa is more than Qb is more than 4.256;
arranging the analysis objects according to the sequence of the high-score coefficients YF from large to small, and marking the analysis object positioned at the head as a selected object;
and sending the selected object to a personnel distribution module.
As a further scheme of the invention: an intelligent auxiliary method for software development comprises the following steps:
the method comprises the following steps: the development distribution module divides the software into a plurality of software programs according to the content requirements or functions of the software to be developed, respectively sets the development time and the completion time of the software programs, and sends the software programs, the development time and the completion time to the intelligent auxiliary platform;
step two: the method comprises the steps that after an intelligent auxiliary platform receives a software program, development time and completion time, the current time is collected, the time difference between the current time and the development time is obtained and marked as a start time difference SC, the time difference between the current time and the completion time is obtained and marked as a final time difference ZC;
step three: the intelligent auxiliary platform substitutes the start time difference SC and the end time difference ZC into a formula
Obtaining a distribution coefficient FP, wherein q1 and q2 are respectively preset weight coefficients of the start time difference SC and the end time difference ZC, and q1+ q2=1,0 < q2 < q1 < 1;
step four: the intelligent auxiliary platform compares the distribution coefficient FP with a distribution threshold value FPy, and marks the software program of which the distribution coefficient FP is greater than the distribution threshold value FPy as a pre-program;
step five: the intelligent auxiliary platform arranges the pre-programs according to the sequence of distribution coefficients FP from large to small, and marks the pre-program at the head as a selected program;
step six: the intelligent auxiliary platform sends the selected program to a personnel distribution module;
step seven: the personnel allocation module receives the selected program, acquires the category of the selected program and acquires all software developers below the category;
step eight: the personnel allocation module screens idle personnel in software developers, the idle personnel indicate that the personnel are in an idle state during allocation and are not in a developing state of a software program, the idle personnel are marked as analysis objects, and the analysis objects are sent to the development analysis module;
step nine: the development analysis module acquires software programs developed in the historical data of the analysis object, and sequentially marks the software programs as analysis programs i according to the time sequence, wherein i =1, … … and n is a natural number;
step ten: a development analysis module obtains the byte number Ji of an analysis program i;
step eleven: the development analysis module obtains development duration Si of an analysis program i, the development duration represents the time difference from the moment when an analysis object is marked as a selected object to the moment when the selected object completes program testing, the ratio of the number of bytes Ji to the development duration Si is obtained, and the ratio is marked as an open speed ratio KSi;
step twelve: the development analysis module acquires the total byte number Zi of input characters in the development process of the analysis program i, acquires the ratio of the byte number Ji to the total byte number Zi, and marks the ratio as a repetition ratio CFi;
step thirteen: the development analysis module obtains the software testing times of the analysis program i and marks the software testing times as a testing value CSi;
fourteen steps: the development analysis module acquires the time when the software program test packet completes the program test, marks the time as completion, compares the completion time with the completion time, adds one to the normal completion time ZC if the completion time is earlier than the completion time, and adds one to the overtime completion time CC if the completion time is later than the completion time;
step fifteen: the development analysis module substitutes the opening speed ratio KSi, the repetition ratio CFi and the test value CSi into a formula
Obtaining a development coefficient KFi, and summing the development coefficient KFi to obtain an average value to obtain a development value KZ;
sixthly, the steps are as follows: the development analysis module substitutes the normal completion times ZC and the overtime completion times CC into a formula
Obtaining a finished value WZ;
seventeen steps: the development analysis module substitutes the development value KZ and the completion value WZ into a formula
Obtaining a top-score coefficient YF, wherein Qa and Qb are respectively preset proportional coefficients of a development value KZ and a completion value WZ, and Qa is more than Qb is more than 4.256;
eighteen steps: the development analysis module arranges the analysis objects according to the sequence of the high-priority coefficient YF from large to small, and marks the analysis object at the head as a selected object;
nineteen steps: the development analysis module sends the selected object to the personnel distribution module;
twenty steps: after receiving the selected object, the personnel allocation module matches the selected object with the selected program and changes the state of the selected object from an idle state to a development state;
twenty one: after the personnel allocation module selects the program and completes the development, a software program test package is obtained, and the software program test package is sent to the software test module;
step twenty-two: the software testing module performs operation testing on the software program testing package, and increases the software testing frequency by one.
The invention has the beneficial effects that:
the invention relates to an intelligent auxiliary method and system for software development, which divide software into a plurality of software programs through a development distribution module, respectively set development time and completion time of the software programs, obtain a selected program according to the software programs, the development time and the completion time by using an intelligent auxiliary platform, obtain the category of the selected program by using a personnel distribution module, obtain idle personnel of the category, mark the idle personnel as an analysis object, obtain the development value and the completion value of the analysis object according to the analysis object by using the development analysis module, obtain a merit coefficient according to the development value and the completion value, obtain the selected object according to the merit coefficient, and match the selected object with the selected program by using the personnel distribution module; the system divides the software into software programs, then sorts the software programs of all the software according to distribution coefficients, the larger the distribution coefficient is, the higher the degree of preferential distribution of the software programs is, the more preferential distribution is, the selected program is obtained, then idle time personnel are obtained according to the selected program, the classes of the idle time personnel and the selected program are the same, the development efficiency and the quality of the software programs can be effectively improved by utilizing the personnel matched with the classes, then the idle time personnel are analyzed to obtain a selected object, and finally the selected object is matched with the selected program.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of an intelligent assistance system for software development according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
referring to fig. 1, the present embodiment is an intelligent auxiliary system for software development, including:
the development distribution module is used for dividing the software into a plurality of software programs, respectively setting the development time and the completion time of the software programs, and sending the software programs, the development time and the completion time to the intelligent auxiliary platform;
the intelligent auxiliary platform is used for obtaining the selected program according to the software program, the development time and the completion time and sending the selected program to the personnel distribution module;
the personnel allocation module is used for acquiring the category of the selected program after receiving the selected program, acquiring idle personnel of the category, marking the idle personnel as an analysis object, sending the analysis object to the development analysis module, and matching the selected object with the selected program after the selected object fed back by the development analysis module;
and the development analysis module is used for acquiring a development value KZ and a completion value WZ of the analysis object according to the analysis object, acquiring a prime score coefficient YF according to the development value KZ and the completion value WZ, acquiring a selected object according to the prime score coefficient YF, and sending the selected object to the personnel distribution module.
Example 2:
referring to fig. 1, an intelligent auxiliary method for software development includes the following steps:
the method comprises the following steps: the development distribution module divides the software into a plurality of software programs according to the content requirements or functions of the software to be developed, respectively sets the development time and the completion time of the software programs, and sends the software programs, the development time and the completion time to the intelligent auxiliary platform;
step two: the method comprises the steps that after an intelligent auxiliary platform receives a software program, development time and completion time, the current time is collected, the time difference between the current time and the development time is obtained and marked as a start time difference SC, the time difference between the current time and the completion time is obtained and marked as a final time difference ZC;
step three: the intelligent auxiliary platform substitutes the start time difference SC and the end time difference ZC into a formula
Obtaining a distribution coefficient FP, wherein q1 and q2 are respectively preset weight coefficients of the starting time difference SC and the final time difference ZC, and q1+ q2=1,0 < q2 < q1 < 1;
step four: the intelligent auxiliary platform compares the distribution coefficient FP with a distribution threshold value FPy, and marks the software program of which the distribution coefficient FP is greater than the distribution threshold value FPy as a pre-program;
step five: the intelligent auxiliary platform arranges the pre-programs according to the sequence of distribution coefficients FP from large to small, and marks the pre-program at the head as a selected program;
step six: the intelligent auxiliary platform sends the selected program to a personnel distribution module;
step seven: the personnel allocation module receives the selected program, acquires the category of the selected program and acquires all software developers below the category;
step eight: the personnel allocation module screens idle personnel in software developers, the idle personnel indicate that the personnel are in an idle state during allocation and are not in a developing state of a software program, the idle personnel are marked as analysis objects, and the analysis objects are sent to the development analysis module;
step nine: the development analysis module acquires software programs developed in the historical data of the analysis object, and sequentially marks the software programs as an analysis program i according to the time sequence, wherein i =1, … … and n is a natural number;
step ten: a development analysis module obtains the byte number Ji of an analysis program i;
step eleven: the development analysis module obtains development duration Si of an analysis program i, the development duration represents the time difference from the moment when an analysis object is marked as a selected object to the moment when the selected object completes program testing, the ratio of the number of bytes Ji to the development duration Si is obtained, and the ratio is marked as an open speed ratio KSi;
step twelve: the development analysis module acquires the total byte number Zi of input characters in the development process of the analysis program i, acquires the ratio of the byte number Ji to the total byte number Zi, and marks the ratio as a repetition ratio CFi;
step thirteen: the development analysis module obtains the software testing times of the analysis program i and marks the software testing times as a testing value CSi;
fourteen steps: the development analysis module acquires the time when the software program test packet completes the program test, marks the time as completion, compares the completion time with the completion time, adds one to the normal completion time ZC if the completion time is earlier than the completion time, and adds one to the overtime completion time CC if the completion time is later than the completion time;
step fifteen: the development analysis module substitutes the opening speed ratio KSi, the repetition ratio CFi and the test value CSi into a formula
Obtaining a development coefficient KFi, and summing the development coefficient KFi to obtain an average value to obtain a development value KZ;
sixthly, the step of: the development analysis module substitutes the normal completion times ZC and the overtime completion times CC into a formula
Obtaining a finished value WZ;
seventeen steps: the development analysis module substitutes the development value KZ and the completion value WZ into a formula
Obtaining a prime score coefficient YF, wherein Qa and Qb are respectively development valuesKZ and a preset proportionality coefficient of a finished value WZ, wherein Qa is more than Qb is more than 4.256;
eighteen steps: the development analysis module arranges the analysis objects according to the sequence of the high-priority coefficient YF from large to small, and marks the analysis object at the head as a selected object;
nineteen steps: the development analysis module sends the selected object to the personnel distribution module;
twenty steps: after receiving the selected object, the personnel allocation module matches the selected object with the selected program and changes the state of the selected object from an idle state to a development state;
twenty one: after the personnel allocation module selects the program and completes the development, a software program test package is obtained, and the software program test package is sent to the software test module;
step twenty-two: and the software testing module performs operation testing on the software program testing packet and increases the software testing frequency by one.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. 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 foregoing is illustrative and explanatory only and is not intended to be exhaustive or to limit the invention to the precise embodiments described, and various modifications, additions, and substitutions may be made by those skilled in the art without departing from the scope of the invention or exceeding the scope of the claims.
Claims (5)
1. An intelligent assistance system for software development, comprising:
the development distribution module is used for dividing the software into a plurality of software programs, respectively setting the development time and the completion time of the software programs, and sending the software programs, the development time and the completion time to the intelligent auxiliary platform;
the intelligent auxiliary platform is used for obtaining the selected program according to the software program, the development time and the completion time and sending the selected program to the personnel distribution module;
the personnel allocation module is used for acquiring the category of the selected program after receiving the selected program, acquiring idle personnel of the category, marking the idle personnel as an analysis object, sending the analysis object to the development analysis module, and matching the selected object with the selected program after the selected object fed back by the development analysis module;
and the development analysis module is used for acquiring a development value and a completion value of the analysis object according to the analysis object, acquiring a high-priority coefficient according to the development value and the completion value, acquiring a selected object according to the high-priority coefficient, and sending the selected object to the personnel allocation module.
2. The intelligent auxiliary system for software development according to claim 1, wherein the specific process of the intelligent auxiliary platform for obtaining the selected program is as follows:
acquiring current time after receiving a software program, development time and completion time, acquiring time difference between the current time and the development time, marking the time difference as a start time difference, acquiring time difference between the current time and the completion time, and marking the time difference as a final time difference;
analyzing the initial time difference and the final time difference to obtain a distribution coefficient;
comparing the distribution coefficient with a distribution threshold value, and marking the software program with the distribution coefficient larger than the distribution threshold value as a pre-program;
arranging the pre-programs according to the sequence of distribution coefficients from large to small, and marking the pre-program at the head as a selected program;
and sending the selected program to a personnel distribution module.
3. The intelligent auxiliary system for software development according to claim 1, wherein the specific process of the personnel allocation module to obtain the analysis object is as follows:
after receiving the selected program, acquiring the category of the selected program, and acquiring all software developers below the category;
and screening idle-time personnel in the software developers, marking the idle-time personnel as analysis objects, and sending the analysis objects to the development analysis module.
4. The intelligent auxiliary system for software development according to claim 1, wherein the development analysis module obtains the prime score coefficients by the following specific process:
acquiring software programs developed in historical data of an analysis object, and sequentially marking the software programs as analysis programs according to the time sequence;
acquiring the byte number of an analysis program;
acquiring development duration of an analysis program, acquiring a ratio of byte number to development time, and marking the ratio as an open speed ratio;
acquiring the total byte number of input characters in the development process of an analysis program, acquiring the ratio of the byte number to the total byte number, and marking the ratio as a repetition ratio;
acquiring the software testing times of an analysis program, and marking the software testing times as a testing value;
acquiring the time when the software program test package completes the program test, marking the time as completion, comparing the completion time with the completion time, if the completion time is earlier than the completion time, adding one to the normal completion time, and if the completion time is later than the completion time, adding one to the overtime completion time;
analyzing the starting ratio, the repetition ratio and the test value to obtain development coefficients, summing the development coefficients to obtain an average value, and obtaining a development value;
analyzing the normal completion times and the overtime completion times to obtain completion values;
analyzing the development value and the completion value to obtain a prime score coefficient;
arranging the analysis objects according to the sequence of the high-quality coefficients from small to large, and marking the analysis object positioned at the head as a selected object;
and sending the selected object to a personnel distribution module.
5. An intelligent auxiliary method for software development is characterized by comprising the following steps:
the method comprises the following steps: the development distribution module divides the software into a plurality of software programs according to the content requirements or functions of the software to be developed, respectively sets the development time and the completion time of the software programs, and sends the software programs, the development time and the completion time to the intelligent auxiliary platform;
step two: the intelligent auxiliary platform acquires the current time after receiving the software program, the development time and the completion time, acquires the time difference between the current time and the development time, marks the time difference as a start time difference, acquires the time difference between the current time and the completion time, and marks the time difference as a final time difference;
step three: the intelligent auxiliary platform analyzes the start time difference and the end time difference to obtain distribution coefficients;
step four: the intelligent auxiliary platform compares the distribution coefficient with a distribution threshold value, and marks the software program of which the distribution coefficient is greater than the distribution threshold value as a pre-program;
step five: the intelligent auxiliary platform arranges the pre-programs according to the sequence of distribution coefficients from large to small, and marks the pre-program at the head as a selected program;
step six: the intelligent auxiliary platform sends the selected program to a personnel distribution module;
step seven: the personnel allocation module receives the selected program, acquires the category of the selected program and acquires all software developers below the category;
step eight: the personnel allocation module screens idle personnel in the software developers, marks the idle personnel as an analysis object, and sends the analysis object to the development analysis module;
step nine: the development analysis module acquires software programs developed in the historical data of the analysis object and marks the software programs as the analysis programs in sequence according to the time sequence;
step ten: the development analysis module obtains the byte number of an analysis program;
step eleven: the development analysis module acquires the development duration of an analysis program, acquires the ratio of the number of bytes to the development time, and marks the ratio as an opening ratio;
step twelve: the development analysis module acquires the total byte number of input characters in the development process of an analysis program, acquires the ratio of the byte number to the total byte number, and marks the ratio as a repetition ratio;
step thirteen: the development analysis module obtains the software testing times of the analysis program and marks the software testing times as a testing value;
fourteen steps: the development analysis module acquires the time when the software program test package completes the program test, marks the time as completion, compares the completion time with the completion time, adds one to the normal completion time if the completion time is earlier than the completion time, and adds one to the overtime completion time if the completion time is later than the completion time;
a fifteenth step: the development analysis module analyzes the opening speed ratio, the repetition ratio and the test value to obtain development coefficients, and sums the development coefficients to obtain an average value to obtain a development value;
sixthly, the step of: the development analysis module analyzes the normal completion times and the overtime completion times to obtain completion values;
seventeen steps: the development analysis module analyzes the development value and the completion value to obtain a prime score coefficient;
eighteen steps: the development analysis module arranges the analysis objects according to the sequence of the high-priority coefficients from large to small, and marks the analysis object at the head as a selected object;
nineteen steps: the development analysis module sends the selected object to the personnel distribution module;
twenty steps: after receiving the selected object, the personnel allocation module matches the selected object with the selected program and changes the state of the selected object from an idle state to a development state;
twenty one is as follows: after the program development selected by the personnel distribution module is completed, a software program test package is obtained and sent to the software test module;
twenty-two steps: the software testing module performs operation testing on the software program testing package, and increases the software testing frequency by one.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211287563.4A CN115358642B (en) | 2022-10-20 | 2022-10-20 | Intelligent auxiliary method and system for software development |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211287563.4A CN115358642B (en) | 2022-10-20 | 2022-10-20 | Intelligent auxiliary method and system for software development |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115358642A true CN115358642A (en) | 2022-11-18 |
| CN115358642B CN115358642B (en) | 2023-01-03 |
Family
ID=84008328
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211287563.4A Active CN115358642B (en) | 2022-10-20 | 2022-10-20 | Intelligent auxiliary method and system for software development |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115358642B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060101373A1 (en) * | 2004-10-25 | 2006-05-11 | Microsoft Corporation | Design-time system and method to enable programming assistance across languages and compilation boundaries |
| US20090030902A1 (en) * | 2007-07-24 | 2009-01-29 | Microsoft Corporation | Schematized data intelligent assistance for development environments |
| CN108628607A (en) * | 2018-03-16 | 2018-10-09 | 广州市金度信息科技有限公司 | A kind of method, system and storage medium based on artificial intelligence assisting software development |
| WO2021095137A1 (en) * | 2019-11-12 | 2021-05-20 | 日本電信電話株式会社 | Software development assistance device, software development assistance method, and program |
| CN114461196A (en) * | 2022-02-21 | 2022-05-10 | 广州图创计算机软件开发有限公司 | Intelligent auxiliary method and system for software development |
-
2022
- 2022-10-20 CN CN202211287563.4A patent/CN115358642B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060101373A1 (en) * | 2004-10-25 | 2006-05-11 | Microsoft Corporation | Design-time system and method to enable programming assistance across languages and compilation boundaries |
| US20090030902A1 (en) * | 2007-07-24 | 2009-01-29 | Microsoft Corporation | Schematized data intelligent assistance for development environments |
| CN108628607A (en) * | 2018-03-16 | 2018-10-09 | 广州市金度信息科技有限公司 | A kind of method, system and storage medium based on artificial intelligence assisting software development |
| WO2021095137A1 (en) * | 2019-11-12 | 2021-05-20 | 日本電信電話株式会社 | Software development assistance device, software development assistance method, and program |
| CN114461196A (en) * | 2022-02-21 | 2022-05-10 | 广州图创计算机软件开发有限公司 | Intelligent auxiliary method and system for software development |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115358642B (en) | 2023-01-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109344053B (en) | Interface coverage test method, system, computer device and storage medium | |
| CN110532084B (en) | Platform task scheduling method, device, equipment and storage medium | |
| CN111078555B (en) | Test file generation method, system, server and storage medium | |
| US20080208552A1 (en) | Method and apparatus for generating alternative representation of optimization models | |
| CN112181749B (en) | Hardware testing method, device, electronic equipment and storage medium | |
| CN111897742B (en) | Method and device for generating intelligent contract test case | |
| CN112365157A (en) | Intelligent dispatching method, device, equipment and storage medium | |
| CN113434396A (en) | Interface test method, device, equipment, storage medium and program product | |
| CN115358642B (en) | Intelligent auxiliary method and system for software development | |
| CN111966597A (en) | Test data generation method and device | |
| CN109992509A (en) | The automated execution method, apparatus of test case, electronic equipment | |
| CN110932929B (en) | Method, system and medium for classifying and extracting satellite telemetry packets in CCSDS system | |
| CN109858789B (en) | Human resource visualization processing method, device, equipment and readable storage medium | |
| CN106776284B (en) | A kind of method for testing software and system | |
| CN106919374A (en) | A kind of scenario generation method and device | |
| CN113254350A (en) | Flink operation testing method, device, equipment and storage medium | |
| CN112055018A (en) | Message analysis method and device | |
| CN115549862B (en) | MES system concurrency performance test data receiving method based on dynamic analysis | |
| CN115757186A (en) | Performance test method, device, equipment and medium of software interface | |
| JP4972997B2 (en) | Program analysis method for asset diagnosis | |
| CN109918129B (en) | Software key function identification method based on g-kernel decomposition | |
| CN112217896A (en) | JSON message conversion method and related device | |
| CN113296790A (en) | Method, apparatus and computer readable medium for generating application data package | |
| CN113190154A (en) | Model training method, entry classification method, device, apparatus, storage medium, and program | |
| JPH07210397A (en) | Program conversion method and program execution method using the same |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |