CN107783763A - A kind of application program generation method, device, server and readable storage medium storing program for executing - Google Patents
A kind of application program generation method, device, server and readable storage medium storing program for executing Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 65
- 238000003860 storage Methods 0.000 title claims abstract description 16
- 238000009434 installation Methods 0.000 claims abstract description 38
- 238000012549 training Methods 0.000 claims abstract description 15
- 230000006870 function Effects 0.000 claims description 113
- 238000004891 communication Methods 0.000 claims description 19
- 230000003370 grooming effect Effects 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 11
- 238000000151 deposition Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 3
- 238000011156 evaluation Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000012217 deletion Methods 0.000 description 2
- 230000037430 deletion Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 2
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- 238000012986 modification Methods 0.000 description 1
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- 238000004549 pulsed laser deposition Methods 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/40—Transformation of program code
- G06F8/41—Compilation
- G06F8/43—Checking; Contextual analysis
- G06F8/436—Semantic checking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/40—Transformation of program code
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- G06F8/44—Encoding
- G06F8/447—Target code generation
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Abstract
The embodiments of the invention provide a kind of application program generation method, device, server and readable storage medium storing program for executing.This method is applied to server, and this method includes：APP to be generated character description information is obtained, as target text description information；Target text description information is inputted to the semantics recognition model of training in advance, obtains the semanteme of target text description information, it is semantic as target；Wherein, semantics recognition model is used for：Identify the semanteme of APP character description information；Obtain preset function code corresponding to target semanteme；Default IDE is called to be compiled preset function code；Preset function code after compiling is packed, obtains APP to be generated installation kit.Using the embodiment of the present invention, the manufacturing cost of application program can be reduced, and shortens the generation cycle of application program.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of application program generation method, device, electronic equipment
And readable storage medium storing program for executing.
Background technology
At present, people can usually touch various APP (Application, application program) in life.And
During generating these APP, an APP is often generated, at least needs multiple technical staff's collaborative works one week to complete, cost
The higher and cycle is longer.
Therefore, need badly and a kind of application program generation method is provided, to reduce the manufacturing cost of application program, and shorten generation
Cycle.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of application program generation method, device, electronic equipment and readable deposited
Storage media, to reduce the manufacturing cost of application program and shorten the generation cycle.
In a first aspect, the embodiments of the invention provide a kind of application APP generation method, this method is applied to service
Device, this method may include steps of：
APP to be generated character description information is obtained, as target text description information；
Target text description information is inputted to the semantics recognition model of training in advance, obtains target text description information
Semanteme, it is semantic as target；Wherein, semantics recognition model is used for：Identify the semanteme of APP character description information；
Obtain preset function code corresponding to target semanteme；
Default IDE is called to be compiled preset function code；
Preset function code after compiling is packed, obtains APP to be generated installation kit.
Alternatively, the step of obtaining preset function code corresponding to target semanteme, can include：
Based on default semantic and script corresponding relation, script corresponding to target semanteme is determined；
The preset function code for determining that script points to is obtained, as preset function code corresponding to target semanteme.
Alternatively, after calling default IDE to be compiled preset function code, this method may be used also
With including：
Using the generation APP to be developed of the preset function code building after compiling preview graph, and preview graph is sent to use
Family terminal；Wherein, APP to be generated functional module is shown in preview graph；Functional module is to be based on preset function code building
's；
Receive the adjustment information that user terminal is sent；Wherein, adjustment information is：APP to be generated functional module is carried out
The information of adjustment；
Response adjustment information is adjusted to preset function code, obtains grooming function code；
Grooming function code is compiled；
Function code after compiling is packed, the step of obtaining APP to be generated installation kit, including：
Grooming function code after compiling is packed, obtains APP to be generated installation kit.
Alternatively, adjustment information includes：Position adjustment information, color adjustment information, delete in information and increase information
It is at least one.
Alternatively, in embodiments of the present invention, this method can also include：
Target semanteme is modified using adjustment information, it is semantic to obtain amendment；
It is semantic using target text description information and amendment, semantics recognition model is modified.
Alternatively, APP to be generated character description information is obtained, can be wrapped as the step of target text description information
Include：
Obtain APP to be generated voice description information；
Voice description information is converted into character description information, and using the character description information being converted to as target text
Word description information.
Alternatively, after APP to be generated installation kit is obtained, this method can also include：
Installation kit is sent to user terminal.
Second aspect, the embodiment of the present invention additionally provide a kind of application APP generating means, and the device is applied to service
Device, the device can include：
First obtains unit, for obtaining APP to be generated character description information, as target text description information；
Semantics recognition unit, for target text description information to be inputted to the semantics recognition model of training in advance, obtain
The semanteme of target text description information, it is semantic as target；Wherein, semantics recognition model is used for：Identify APP word description letter
The semanteme of breath；
Second obtaining unit, for obtaining preset function code corresponding to target semanteme；
First compilation unit, for calling default IDE to be compiled preset function code；
Packaged unit, for being packed to the preset function code after compiling, obtain APP to be generated installation kit.
Alternatively, in embodiments of the present invention, the second obtaining unit can include：
Determination subelement, for based on default semantic and script corresponding relation, determining script corresponding to target semanteme；
First obtains subelement, semantic corresponding as target for obtaining the preset function code for determining that script points to
Preset function code.
Alternatively, in embodiments of the present invention, the device can also include：
Generation unit, for after calling default IDE to be compiled preset function code, utilizing
The preview graph of preset function code building generation APP to be developed after compiling；
First transmitting element, for preview graph to be sent into user terminal；Wherein, APP to be generated is shown in preview graph
Functional module；Functional module is based on preset function code building；
Receiving unit, for receiving the adjustment information of user terminal transmission；Wherein, adjustment information is：To APP's to be generated
The information that functional module is adjusted；
Adjustment unit, preset function code is adjusted for responding adjustment information, obtains grooming function code；
Second compilation unit, for being compiled to grooming function code；
Correspondingly, the packaged unit specifically can be used for：
Grooming function code after compiling is packed, obtains APP to be generated installation kit.
Alternatively, the adjustment information can include：Position adjustment information, color adjustment information, delete information and increase letter
At least one of breath.
Alternatively, in embodiments of the present invention, the device can also include：
First amending unit, for being modified using adjustment information to target semanteme, it is semantic to obtain amendment；
Second amending unit, for using target text description information and amendment semanteme, being repaiied to semantics recognition model
Just.
Alternatively, in embodiments of the present invention, first obtains unit can include：
Second obtains subelement, for obtaining APP to be generated voice description information；
Conversion subunit, for voice description information to be converted into character description information, and the word being converted to is retouched
Information is stated as target text description information.
Alternatively, in embodiments of the present invention, the device can also include：
Second transmitting element, for after APP to be generated installation kit is obtained, installation kit to be sent to user terminal.
The third aspect, the embodiments of the invention provide a kind of server, the server includes processor, communication interface, deposited
Reservoir and communication bus, wherein, processor, communication interface, memory completes mutual communication by communication bus；
Memory, for depositing computer program；
Processor, during for performing the program deposited on memory, realize the application journey described in any one of first aspect
The method and step of sequence APP generation methods.
Fourth aspect, the embodiments of the invention provide a kind of readable storage medium storing program for executing, the readable storage medium storing program for executing internal memory contains meter
Calculation machine program, the application APP generation method described in any one of first aspect is realized when computer program is executed by processor
Method and step.
5th aspect, the embodiments of the invention provide a kind of computer program product for including instruction, when it is in server
During upper operation so that server performs：The method step of application APP generation method described in above-mentioned any one of first aspect
Suddenly.
In embodiments of the present invention, server can obtain APP to be generated character description information, and this is acquired
Character description information as target text description information.Then, the target text description information is inputted to training in advance and obtained
To semantics recognition model in.It is thus possible to identify to obtain semanteme corresponding to the target text description information, and this is identified
The semanteme arrived is semantic as target.Afterwards, preset function code corresponding to the target semanteme can be found, it is, can obtain
To the source code for generating APP to be generated, the speed for the source code for obtaining APP to be generated is improved.Then, call default integrated
Development environment is compiled to the preset function code, and to being packed to the preset function code after compiling, you can obtain
Meet the target text description information, APP to be generated installation kit.So, APP to be generated installation can be quickly generated
Bag, shortens the cycle for generating APP to be generated.In addition, it is not necessary that relying on substantial amounts of technical staff to generate APP to be generated, drop
Low generation APP cost.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of flow chart of application APP generation method provided in an embodiment of the present invention；
Fig. 2 is another flow chart of application APP generation method provided in an embodiment of the present invention；
Fig. 3 is a kind of structural representation of application APP generating means provided in an embodiment of the present invention；
Fig. 4 is a kind of structural representation of server provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
In order to solve prior art problem, the embodiments of the invention provide a kind of APP (Application, application program)
Generation method, device, server and readable storage medium storing program for executing.
APP generation methods provided in an embodiment of the present invention are illustrated first below.
Referring to Fig. 1, a kind of flow chart of APP generation methods provided in an embodiment of the present invention is shown in figure, this method should
For server, this method may include steps of：
S101：APP to be generated character description information is obtained, as target text description information；
S102：Target text description information is inputted to the semantics recognition model of training in advance, obtains target text description
The semanteme of information, it is semantic as target；Wherein, semantics recognition model is used for：Identify the semanteme of APP character description information；
S103：Obtain preset function code corresponding to target semanteme；
S104：Default IDE is called to be compiled preset function code；
S105：Preset function code after compiling is packed, obtains APP to be generated installation kit.
For example, server can obtain APP to be generated character description information：A beautiful shop is opened, as
Target text description information corresponding to APP to be generated.Then, the target text description information is inputted to semantics recognition model
In.So, the semanteme that the semantics recognition model can identify to obtain " shop beautiful Kai Yijia " is：" beautiful shop ".This
Sample, it is semantic as target that server can will be somebody's turn to do " beautiful shop ".Wherein, the semantics recognition model is using substantial amounts of, pre-
If APP character description information sample, and semanteme corresponding to each character description information sample train what is obtained.
Afterwards, server can be semantic " beautiful shop " according to the target, finds and is preset corresponding to " beautiful shop "
Function code.It is, the source code for generating APP to be generated can be obtained, the speed for the source code for obtaining APP to be generated is improved
Degree.Then, default IDE is called to be compiled the preset function code, and to the preset function after compiling
Code is packed, you can acquisition meets the target text description information, APP to be generated installation kit, it is, can obtain
There must be the APP of shop function installation kit.
So, APP to be generated installation kit can be quickly generated, shortens the cycle for generating APP to be generated.In addition,
Substantial amounts of technical staff is needed not rely on to generate APP to be generated, reduces generation APP cost.
Wherein, the default IDE can be set by those skilled in the art according to actual conditions,
This is not specifically limited.
APP generation methods provided in an embodiment of the present invention are described in detail with reference to specific example.
It is understood that server can obtain APP to be generated voice description information, it is assumed that the voice acquired
Description information is：Open a beautiful shop with favorite function.
In this kind of mode, user directly can input voice to user terminal, i.e. directly can be treated to user terminal input
Generate APP voice description information.And then user terminal can send the APP to be generated received voice description information
To server.So, user need not input APP to be generated character description information by input method, improve user's body
Test.Wherein, the user terminal includes but is not limited to mobile phone and tablet personal computer.
Afterwards, server can utilize the voice in aws (Amazon Web Service, Amazon service) to turn text
Word function, the voice description information is converted into character description information：A beautiful shop with favorite function is opened, and
Using the character description information being converted to as target text description information.Wherein, voice description information is converted into word to retouch
The mode for stating information includes but is not limited to utilize the speech-to-text function in aws.
After server obtains target text description information by speech-to-text function, the target text can be described
Information is inputted in the semantics recognition model obtained to training in advance.It is then possible to obtain the language that the semantics recognition Model Identification goes out
Justice：" beautiful shop " and " collection ".And it is possible to each semanteme that this is identified is as a target semanteme.Wherein,
The semantics recognition model can be obtained based on HMM (hidden Markov Model, HMM) training, when
So it is not limited thereto.
After target semanteme is obtained, in one implementation, server can be according to default semantic and preset function
The corresponding relation of code, preset function code corresponding to each target semanteme is searched, such as can found：Beautiful shop pair
The preset function code answered, and preset function code corresponding to collection.In another implementation, it can be based on default
Semanteme and script corresponding relation, it is determined that script corresponding to each target semanteme.Then, obtain and determine that script points to pre-
If function code, as preset function code corresponding to target semanteme.This is all rational.
After preset function code corresponding to target semanteme is obtained, server can also be to the preset function code of acquisition
It is adjusted.For example, detect in preset function code corresponding to beautiful shop, if carry and work(is preset corresponding to collection
Can code.If preset function code corresponding to the collection no, is added to preset function corresponding to the beautiful shop
In code, preset function code corresponding to target semantic " beautiful shop " and " collection " is obtained.It is then possible to call default
IDE preset function code corresponding to obtaining, " beautiful shop " and " collection " is compiled.
And it is possible to treated using preset function code building corresponding to after compiling, " beautiful shop " and " collection "
Exploitation generation APP preview graph, and preview graph is sent to user terminal.Wherein, APP to be generated work(is shown in preview graph
Energy module, functional module is based on preset function code building.For example, show functional mould in the preview graph that generation obtains
Block：Collect the module such as clip module and shopping cart module.
So, user can check the preview graph in the user terminal, and can be to the function mould that is shown in preview graph
The position of block is adjusted, so as to which user terminal can obtain：The position of APP to be generated functional module is adjusted
Position adjustment information.
It is of course also possible to the color of the functional module to being shown in preview graph is adjusted, so as to which user terminal can obtain
：The position adjustment information being adjusted to the color of APP to be generated functional module.Alternatively, it is also possible to show in preview graph
The functional module shown is deleted, so as to obtain the deletion information deleted APP to be generated functional module.Can also be past
Increase new functional module (such as increasing evaluation module) in preview graph, so as to obtain the functional module progress to APP to be generated
Increased increase information, this is all rational.
For example, user terminal can receive：The position adjustment information being adjusted to the position for collecting clip module,
Wherein, the position adjustment information is specially：The position of clip module will be collected by lower left corner position adjustment to lower right position.This
Sample, user terminal send the position adjustment information that this is received to server.After server receives the position adjustment information,
Location parameter in preset function code corresponding to the collection is modified：Location parameter corresponding to the lower left corner is adjusted to right
Location parameter corresponding to inferior horn, so as to obtain grooming function code.
In addition, if server receives the color adjustment information to collecting clip module, server can also be according to the color
Adjustment information, color parameter in preset function code corresponding to the collection is modified.If server is received to collection
The deletion information of clip module, server can also to it is in preset function code corresponding to " beautiful shop " and " collection ",
Preset function code is deleted corresponding to collection.If server receives the increase information to evaluation module, server is also
Preset function code corresponding to the evaluation module can be obtained, and preset function code corresponding to the evaluation module is added to
In preset function code corresponding to " beautiful shop " and " collection ".Wherein, to " beautiful shop " and " collection "
After corresponding preset function code carries out any adjustment, grooming function code can obtain.
Pass through this kind of mode, it is possible to achieve the personalized customization to APP to be generated each functional module, improve user
Experience.
Then, server is compiled to grooming function code, and the grooming function code after compiling is packed, and is obtained
To APP to be generated installation kit, can now generate to obtain APP to be generated.
In addition, inventor is had found by many experiments, generated using to APP generation methods provided in an embodiment of the present invention
APP only needs the time of a few minutes, highly shortened the generation APP generation cycle.
In addition, in order that semantics recognition model can identify to obtain the semanteme for more conforming to user view, the server
Target semanteme can also be modified using adjustment information, it is semantic to obtain amendment.Then, using target text description information and
Amendment is semantic, and semantics recognition model is modified.
For example, server receives position adjustment that user terminal is sent, being adjusted to the position for collecting clip module
Information is：The position of clip module will be collected by lower left corner position adjustment to lower right position.So, the server can be utilized and is somebody's turn to do
Adjustment information is modified to " collection for being located at the lower right corner " to obtained target semantic " collection ", so as to which it is semantic to obtain amendment
" beautiful shop " and " collection for being located at the lower right corner ".Afterwards, target text description information is utilized：" opening one has collection
Press from both sides the beautiful shop of function ", and amendment semanteme：" beautiful shop " and " collection for being located at the lower right corner " is come to the semanteme
Identification model is modified.So as to so that revised semantics recognition model can identify to obtain to more conform to user view
It is semantic.
APP generation methods provided in an embodiment of the present invention tool specific example is illustrated with reference to Fig. 2.
Referring to Fig. 2, APP generation methods provided in an embodiment of the present invention may include steps of：
S201：User logs in the client for generating APP；After logining successfully, APP to be generated voice description is inputted
Information；Wherein, the client for being used to generate APP is mounted on the subscriber terminal；
S202：Client receives the voice description information, and the voice description information is converted into character description information, obtains
To APP to be generated file destination description information；
S203：Client sends the target text description information to server；
S204：Server is known after the target text description information is received using the semantics recognition model of training in advance
The not semanteme of the target text description information, obtain target semanteme；
S205：The default script of server by utilizing and semantic corresponding relation, find script corresponding to the target semanteme,
Then the preset function code of script sensing is obtained；
S206：The default IDE of server calls is compiled to obtained preset function code；And to compiling
Preset function code after translating is packed, and obtains APP to be generated installation kit；
S207：User terminal downloads the installation kit of the APP to be generated from the server, and installs this using the installation kit and treat
Generate APP.
To sum up, using the embodiment of the present invention, APP to be generated installation kit can be quickly generated, it is to be generated to shorten generation
Into APP cycle.In addition, it is not necessary that relying on substantial amounts of technical staff to generate APP to be generated, generation APP cost is reduced.
Corresponding to above method embodiment, the embodiment of the present invention additionally provides a kind of application APP generating means, application
In server, referring to Fig. 3, the device can include：
First obtains unit 301, for obtaining APP to be generated character description information, as target text description information；
Semantics recognition unit 302, for target text description information to be inputted to the semantics recognition model of training in advance, obtain
It is semantic as target to the semanteme of target text description information；Wherein, semantics recognition model is used for：Identify APP word description
The semanteme of information；
Second obtaining unit 303, for obtaining preset function code corresponding to target semanteme；
First compilation unit 304, for calling default IDE to be compiled preset function code；
Packaged unit 305, for being packed to the preset function code after compiling, obtain APP to be generated installation kit.
In embodiments of the present invention, server can obtain APP to be generated character description information, and this is acquired
Character description information as target text description information.Then, the target text description information is inputted to training in advance and obtained
To semantics recognition model in.It is thus possible to identify to obtain semanteme corresponding to the target text description information, and this is identified
The semanteme arrived is semantic as target.Afterwards, preset function code corresponding to the target semanteme can be found, it is, can obtain
To the source code for generating APP to be generated, the speed for the source code for obtaining APP to be generated is improved.Then, call default integrated
Development environment is compiled to the preset function code, and to being packed to the preset function code after compiling, you can obtain
Meet the target text description information, APP to be generated installation kit.So, APP to be generated installation can be quickly generated
Bag, shortens the cycle for generating APP to be generated.In addition, it is not necessary that relying on substantial amounts of technical staff to generate APP to be generated, drop
Low generation APP cost.
Alternatively, in embodiments of the present invention, the second obtaining unit 303 can include：
Determination subelement, for based on default semantic and script corresponding relation, determining script corresponding to target semanteme；
First obtains subelement, semantic corresponding as target for obtaining the preset function code for determining that script points to
Preset function code.
Alternatively, in embodiments of the present invention, the device can also include：
Generation unit, for after calling default IDE to be compiled preset function code, utilizing
The preview graph of preset function code building generation APP to be developed after compiling；
First transmitting element, for preview graph to be sent into user terminal；Wherein, APP to be generated is shown in preview graph
Functional module；Functional module is based on preset function code building；
Receiving unit, for receiving the adjustment information of user terminal transmission；Wherein, adjustment information is：To APP's to be generated
The information that functional module is adjusted；
Adjustment unit, preset function code is adjusted for responding adjustment information, obtains grooming function code；
Second compilation unit, for being compiled to grooming function code；
Correspondingly, packaged unit 305 specifically can be used for：
Grooming function code after compiling is packed, obtains APP to be generated installation kit.
Alternatively, adjustment information can include：Position adjustment information, color adjustment information, delete information and increase information
At least one of.
Alternatively, in embodiments of the present invention, device can also include：
First amending unit, for being modified using adjustment information to target semanteme, it is semantic to obtain amendment；
Second amending unit, for using target text description information and amendment semanteme, being repaiied to semantics recognition model
Just.
Alternatively, in embodiments of the present invention, first obtains unit 301 can include：
Second obtains subelement, for obtaining APP to be generated voice description information；
Conversion subunit, for voice description information to be converted into character description information, and the word being converted to is retouched
Information is stated as target text description information.
Alternatively, in embodiments of the present invention, the device can also include：
Second transmitting element, for after APP to be generated installation kit is obtained, installation kit to be sent to user terminal.
Corresponding to above method embodiment and device embodiment, the embodiment of the present invention additionally provides a kind of server, referring to
Fig. 4, the server can include processor 401, communication interface 402, memory 403 and communication bus 404, wherein, processor
401, communication interface 402, memory 403 completes mutual communication by communication bus 404；
Memory 403, for depositing computer program；
Processor 401, during for performing the program deposited on memory 403, realize any of the above-described application APP
The method and step of generation method.
Server provided in an embodiment of the present invention can obtain APP to be generated character description information, and this is obtained
The character description information arrived is as target text description information.Then, the target text description information is inputted to training in advance
In obtained semantics recognition model.It is thus possible to identify to obtain semanteme corresponding to the target text description information, and this is identified
Obtained semanteme is semantic as target.Afterwards, preset function code corresponding to the target semanteme can be found, it is, can be with
The source code for generating APP to be generated is obtained, improves the speed for the source code for obtaining APP to be generated.Then, default collection is called
IDE is compiled to the preset function code, and to being packed to the preset function code after compiling, you can obtain
The target text description information, APP to be generated installation kit must be met.So, APP to be generated peace can be quickly generated
Dress bag, shortens the cycle for generating APP to be generated.In addition, it is not necessary that substantial amounts of technical staff is relied on to generate APP to be generated,
Reduce generation APP cost.
The communication bus that above-mentioned electronic equipment is mentioned can be Peripheral Component Interconnect standard (Peripheral Component
Interconnect, PCI) bus or EISA (Extended Industry Standard
Architecture, EISA) bus etc..The communication bus can be divided into address bus, data/address bus, controlling bus etc..For just
Only represented in expression, figure with a thick line, it is not intended that an only bus or a type of bus.
The communication that communication interface is used between above-mentioned electronic equipment and other equipment.
Memory can include random access memory (Random Access Memory, RAM), can also include non-easy
The property lost memory (Non-Volatile Memory, NVM), for example, at least a magnetic disk storage.Optionally, memory may be used also
To be at least one storage device for being located remotely from aforementioned processor.
Above-mentioned processor can be general processor, including central processing unit (Central Processing Unit,
CPU), network processing unit (Network Processor, NP) etc.；It can also be digital signal processor (Digital Signal
Processing, DSP), it is application specific integrated circuit (Application Specific Integrated Circuit, ASIC), existing
It is field programmable gate array (Field-Programmable Gate Array, FPGA) or other PLDs, discrete
Door or transistor logic, discrete hardware components.
Corresponding to above method embodiment, the embodiment of the present invention additionally provides a kind of readable storage medium storing program for executing, the readable storage
Dielectric memory contains computer program, realizes what any of the above-described embodiment of the method provided when computer program is executed by processor
The method and step of application APP generation method.
The computing device of the computer program being serviced device stored in readable storage medium storing program for executing provided in an embodiment of the present invention
Afterwards, APP to be generated character description information can be obtained, and the character description information that this is acquired is retouched as target text
State information.Then, the target text description information is inputted in the semantics recognition model obtained to training in advance.It is thus possible to
Identification obtains semantic corresponding to the target text description information and semantic using the semanteme that the identification obtains as target.Afterwards, may be used
To find preset function code corresponding to the target semanteme, it is, being available for generating APP to be generated source code, carry
The high speed of acquisition APP to be generated source code.Then, default IDE is called to carry out the preset function code
Compiling, and to being packed to the preset function code after compiling, you can acquisition meets the target text description information, to be generated
Into APP installation kit.So, APP to be generated installation kit can be quickly generated, shortens the cycle for generating APP to be generated.
In addition, it is not necessary that relying on substantial amounts of technical staff to generate APP to be generated, generation APP cost is reduced.
Corresponding to above method embodiment, the embodiment of the present invention additionally provides a kind of computer program production comprising instruction
Product, when it runs on the server so that server performs：The application APP that any of the above-described embodiment of the method provides
The method and step of generation method.
The computer program product provided in an embodiment of the present invention for including instruction, when it runs on the server so that
Server can obtain APP to be generated character description information, and using the character description information that this is acquired as target text
Word description information.Then, the target text description information is inputted in the semantics recognition model obtained to training in advance.So as to,
It can identify to obtain semantic corresponding to the target text description information and semantic using the semanteme that the identification obtains as target.It
Afterwards, preset function code corresponding to the target semanteme can be found, it is, being available for generating APP to be generated source
Code, improve the speed for the source code for obtaining APP to be generated.Then, default IDE is called to the preset function generation
Code is compiled, and to being packed to the preset function code after compiling, you can acquisition meets the target text description information
, APP to be generated installation kit.So, APP to be generated installation kit can be quickly generated, shortens generation APP to be generated
Cycle.In addition, it is not necessary that relying on substantial amounts of technical staff to generate APP to be generated, generation APP cost is reduced.
It should be noted that herein, such as first and second or the like relational terms are used merely to a reality
Body or operation make a distinction with another entity or operation, and not necessarily require or imply and deposited between these entities or operation
In any this actual relation or order.Moreover, term " comprising ", "comprising" or its any other variant are intended to
Nonexcludability includes, so that process, method, article or equipment including a series of elements not only will including those
Element, but also the other element including being not expressly set out, or it is this process, method, article or equipment also to include
Intrinsic key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that
Other identical element also be present in process, method, article or equipment including the key element.
Each embodiment in this specification is described by the way of related, identical similar portion between each embodiment
Divide mutually referring to what each embodiment stressed is the difference with other embodiment.Especially for device,
For server and readable storage medium storing program for executing embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple,
The relevent part can refer to the partial explaination of embodiments of method.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent substitution and improvements made within the spirit and principles in the present invention etc., are all contained in protection scope of the present invention
It is interior.
Claims (10)
1. a kind of application APP generation method, it is characterised in that applied to server, methods described includes：
APP to be generated character description information is obtained, as target text description information；
The target text description information is inputted to the semantics recognition model of training in advance, obtains the target text description letter
The semanteme of breath, it is semantic as target；Wherein, the semantics recognition model is used for：Identify the semanteme of APP character description information；
Obtain preset function code corresponding to the target semanteme；
Default IDE is called to be compiled the preset function code；
Preset function code after compiling is packed, obtains the installation kit of the APP to be generated.
2. according to the method for claim 1, it is characterised in that described to obtain preset function generation corresponding to the target semanteme
The step of code, including：
Based on default semantic and script corresponding relation, script corresponding to the target semanteme is determined；
The preset function code for determining that script points to is obtained, as preset function code corresponding to the target semanteme.
3. according to the method for claim 1, it is characterised in that calling default IDE to the default work(
After energy code is compiled, methods described also includes：
Using the preview graph of generation APP to be developed described in the preset function code building after compiling, and the preview graph is sent
To user terminal；Wherein, the functional module of the APP to be generated is shown in the preview graph；The functional module is to be based on
The preset function code building；
Receive the adjustment information that user terminal is sent；Wherein, the adjustment information is：To the functional module of the APP to be generated
The information being adjusted；
Respond the adjustment information to be adjusted the preset function code, obtain grooming function code；
The grooming function code is compiled；
Function code after described pair of compiling is packed, the step of obtaining the installation kit of the APP to be generated, including：
Grooming function code after compiling is packed, obtains the installation kit of the APP to be generated.
4. according to the method for claim 3, it is characterised in that the adjustment information includes：Position adjustment information, color are adjusted
Whole information, delete at least one of information and increase information.
5. the method according to claim 3 or 4, it is characterised in that methods described also includes：
The target semanteme is modified using the adjustment information, it is semantic to obtain amendment；
It is semantic using the target text description information and the amendment, the semantics recognition model is modified.
6. according to the method any one of claim 1-4, it is characterised in that the word for obtaining APP to be generated is retouched
Information is stated, is included as the step of target text description information：
Obtain APP to be generated voice description information；
The voice description information is converted into character description information, and using the character description information being converted to as target text
Word description information.
7. according to the method any one of claim 1-4, it is characterised in that obtaining the installation of the APP to be generated
After bag, methods described also includes：
The installation kit is sent to user terminal.
8. a kind of application APP generating means, it is characterised in that applied to server, described device includes：
First obtains unit, for obtaining APP to be generated character description information, as target text description information；
Semantics recognition unit, for the target text description information to be inputted to the semantics recognition model of training in advance, obtain
The semanteme of the target text description information, it is semantic as target；Wherein, the semantics recognition model is used for：Identify APP text
The semanteme of word description information；
Second obtaining unit, for obtaining preset function code corresponding to the target semanteme；
First compilation unit, for calling default IDE to be compiled the preset function code；
Packaged unit, for being packed to the preset function code after compiling, obtain the installation kit of the APP to be generated.
A kind of 9. server, it is characterised in that including processor, communication interface, memory and communication bus, wherein, processor,
Communication interface, memory complete mutual communication by communication bus；
Memory, for depositing computer program；
Processor, during for performing the program deposited on memory, realize any described method and steps of claim 1-7.
10. a kind of readable storage medium storing program for executing, it is characterised in that the readable storage medium storing program for executing internal memory contains computer program, the meter
Calculation machine program realizes claim 1-7 any described method and steps when being executed by processor.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111933126A (en) * | 2019-05-13 | 2020-11-13 | 阿里巴巴集团控股有限公司 | Voice compiling method and device, electronic equipment and computer readable storage medium |
| CN112130814A (en) * | 2020-08-06 | 2020-12-25 | 亿存(北京)信息科技有限公司 | Project construction method and device and electronic equipment |
| CN112614509A (en) * | 2020-12-11 | 2021-04-06 | 北京读我网络技术有限公司 | Method and device for generating voice evaluation installation package and executing voice evaluation |
| CN112711409A (en) * | 2019-10-25 | 2021-04-27 | 杭州海康威视数字技术股份有限公司 | Application program development and operation method and system and intelligent analysis equipment |
| WO2021088687A1 (en) * | 2019-11-08 | 2021-05-14 | Oppo广东移动通信有限公司 | Hotspot compilation unit determining method and apparatus, and server |
| CN118227096A (en) * | 2024-05-20 | 2024-06-21 | 浙江口碑网络技术有限公司 | Development task arrangement method and device based on large model |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070055965A1 (en) * | 2005-05-25 | 2007-03-08 | Colyer Adrian M | Generating An Application Software Library |
| CN101477467A (en) * | 2008-12-08 | 2009-07-08 | 山东浪潮齐鲁软件产业股份有限公司 | Project code releasing method |
| US7823123B2 (en) * | 2004-07-13 | 2010-10-26 | The Mitre Corporation | Semantic system for integrating software components |
| CN103135979A (en) * | 2011-12-05 | 2013-06-05 | 中国移动通信集团广东有限公司 | Method, device and system for generating terminal applications |
| CN106776564A (en) * | 2016-12-21 | 2017-05-31 | 张永成 | The method for recognizing semantics and system of a kind of knowledge based collection of illustrative plates |
| CN107066246A (en) * | 2016-12-27 | 2017-08-18 | 深圳虚觅者科技有限公司 | A kind of software development methodology and device |
-
2017
- 2017-09-29 CN CN201710908702.3A patent/CN107783763A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7823123B2 (en) * | 2004-07-13 | 2010-10-26 | The Mitre Corporation | Semantic system for integrating software components |
| US20070055965A1 (en) * | 2005-05-25 | 2007-03-08 | Colyer Adrian M | Generating An Application Software Library |
| CN101477467A (en) * | 2008-12-08 | 2009-07-08 | 山东浪潮齐鲁软件产业股份有限公司 | Project code releasing method |
| CN103135979A (en) * | 2011-12-05 | 2013-06-05 | 中国移动通信集团广东有限公司 | Method, device and system for generating terminal applications |
| CN106776564A (en) * | 2016-12-21 | 2017-05-31 | 张永成 | The method for recognizing semantics and system of a kind of knowledge based collection of illustrative plates |
| CN107066246A (en) * | 2016-12-27 | 2017-08-18 | 深圳虚觅者科技有限公司 | A kind of software development methodology and device |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111933126A (en) * | 2019-05-13 | 2020-11-13 | 阿里巴巴集团控股有限公司 | Voice compiling method and device, electronic equipment and computer readable storage medium |
| CN112711409A (en) * | 2019-10-25 | 2021-04-27 | 杭州海康威视数字技术股份有限公司 | Application program development and operation method and system and intelligent analysis equipment |
| CN112711409B (en) * | 2019-10-25 | 2024-06-04 | 杭州海康威视数字技术股份有限公司 | Application program development and operation method, system and intelligent analysis equipment |
| WO2021088687A1 (en) * | 2019-11-08 | 2021-05-14 | Oppo广东移动通信有限公司 | Hotspot compilation unit determining method and apparatus, and server |
| CN112130814A (en) * | 2020-08-06 | 2020-12-25 | 亿存(北京)信息科技有限公司 | Project construction method and device and electronic equipment |
| CN112614509A (en) * | 2020-12-11 | 2021-04-06 | 北京读我网络技术有限公司 | Method and device for generating voice evaluation installation package and executing voice evaluation |
| CN112614509B (en) * | 2020-12-11 | 2022-11-01 | 北京读我网络技术有限公司 | Method and device for generating voice evaluation installation package and executing voice evaluation |
| CN118227096A (en) * | 2024-05-20 | 2024-06-21 | 浙江口碑网络技术有限公司 | Development task arrangement method and device based on large model |
| CN118227096B (en) * | 2024-05-20 | 2024-08-16 | 浙江口碑网络技术有限公司 | Development task arrangement method and device based on large model |
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