CN108628607B - Method, system and storage medium for assisting software development based on artificial intelligence - Google Patents
Method, system and storage medium for assisting software development based on artificial intelligence Download PDFInfo
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Abstract
The invention discloses a method, a system and a storage medium for assisting software development based on artificial intelligence, wherein the method comprises the following steps: the cloud platform searches resources which are not described or are not described in the existing resource set for information improvement, receives session data input by a user through a text box, submits the session data to an application server, and establishes information exchange between the user and the AI; after the application server receives the common session data of the client, if the local database stores the relevant feedback information, the feedback is directly carried out, and if the local database does not store the relevant feedback information, the local database is submitted to a third-party service interface for obtaining; when the application server receives the instruction data of the client, the client enters an AI algorithm model and returns an instruction result after being processed by a relevant algorithm; and after the client receives the instruction result, executing the returned instruction through the local scripting language, and responding to the effect on the cloud platform. The invention aims to utilize the existing resources, achieve higher development efficiency, reduce development period and improve reusability.
Description
Technical Field
The invention relates to the technical field of software development, in particular to a method, a system and a storage medium for assisting software development based on artificial intelligence.
Background
In the current software development field, time control, cost control, quality control and risk control of projects are the most concerned and the most difficult problems to control by enterprises, in order to pursue higher development efficiency and reduce personnel cost, a plurality of software companies create various different development platforms and define various development modes for own platforms, so that the purpose is achieved; the development method of cloud recycling facing the component is also one of the development methods, but no matter how to optimize various functions and operations, even some modularized applications and the like, the development method needs a large amount of manpower to complete.
The cloud-oriented component development mode (hereinafter referred to as cloud component) can package codes into components with extremely small granularity, each component can complete a tiny function, a larger business process can be completed by combining different components, one person can issue the components by matching with the cloud, other persons share the shared development mode, and development and cost are reduced by continuously accumulating resources along with the passage of time; however, the cloud applications are managed in a centralized manner, that is, all components, services, workflows, service logics and UI forms are stored in the same place, and as time increases, the application library becomes larger and larger; for example, at the beginning, a software enterprise only develops two sets of applications, at this time, possibly related components, services, processes, forms and the like are hundreds of digits, and when a third set of applications is developed, developers can find resources needed by themselves more conveniently so as to reduce development time; however, the time continues to increase, the business system becomes more and more abundant, and tens of thousands, hundreds of thousands or millions of resources can be in the library in the future, so that the secondary development by well utilizing the existing resources becomes a difficult task.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
The invention aims to solve the technical problem that aiming at the defects of the prior art, the invention provides a method, a system and a storage medium for assisting software development based on artificial intelligence, aiming at carrying out knowledge matching in a huge cloud application library through AI (artificial intelligence), finding out the business effect to be realized close to the target requirement, and providing direct and indirect help for a developer; the method aims to give full play to the advantages of the accumulated component library, more reasonably utilize the existing resources, achieve higher development efficiency, reduce development period and improve reusability.
The technical scheme adopted by the invention for solving the technical problem is as follows:
a method for assisting software development based on artificial intelligence, wherein the method for assisting software development based on artificial intelligence comprises the following steps:
the cloud platform receives an operation instruction of a user, and searches resources which are not described or are not described completely in the existing resource set for information improvement;
the cloud platform receives session data input by a user through a text box, submits the session data to an application server, and establishes information communication between the user and the AI;
after the application server receives the common session data of the client, if the local database stores the relevant feedback information, the feedback is directly carried out, and if the local database does not store the relevant feedback information, the local database is submitted to a third-party service interface for obtaining;
when the application server receives the instruction data of the client, the client enters an AI algorithm model and returns an instruction result after being processed by a relevant algorithm;
and the application server processes the returned instruction result, executes the returned instruction through the local script language after the client receives the instruction result, and responds the effect on the cloud platform.
The method for assisting software development based on artificial intelligence, wherein the cloud platform receives an operation instruction of a user, and searches resources which are not described or not described in the existing resource set for information improvement specifically comprises the following steps:
all resources are stored in a database in advance for centralized control;
after receiving an operation instruction of a user, the cloud platform searches through an inquiry statement of the database;
searching resources which are not described or not described well in the existing resource set in the database, perfecting the information, and storing the information into the database again to be used as an application library.
The method for assisting software development based on artificial intelligence is characterized in that the application library comprises all resources on a development platform, and the resources comprise: components, businesses, processes, and forms.
The method for assisting software development based on artificial intelligence is characterized in that the session data comprises common session data and instruction data.
The method for assisting software development based on artificial intelligence is characterized in that after the application server receives common session data of the client, if the local database stores relevant feedback information, the feedback is directly carried out, and if the local database stores relevant feedback information, the feedback is submitted to a third-party service interface to obtain the common session data, the method specifically comprises the following steps:
after receiving the data of the client, the application server judges whether the data is common session data or instruction data;
and if the session data is common session data, verifying whether the local database has related feedback information, if so, directly feeding back, and if not, submitting the feedback information to a third-party service interface for acquisition.
The method for assisting software development based on artificial intelligence, wherein when the application server receives instruction data of the client, the step of returning an instruction result after entering the AI algorithm model and being processed by a relevant algorithm specifically comprises the following steps:
when the application server receives the instruction data of the client, the AI algorithm model is entered;
the application server firstly reads a resource library arranged in a system database, and then the resource library and the session instruction are put into a cosine similarity algorithm;
returning a result set with scores through a cosine similarity algorithm, and placing the result set with the highest score at the top of the result set through bubble sorting;
if only one result with the highest score exists, the instruction result is directly returned, and if more than one result exists, a probability algorithm is entered, and finally an instruction result closest to the user requirement is returned according to certain weight setting.
A system for assisting software development based on artificial intelligence, wherein the system for assisting software development based on artificial intelligence comprises: the system comprises a cloud platform, an application server and a client; the application server is respectively connected with the cloud platform and the client;
the cloud platform is used for receiving an operation instruction of a user, searching resources which are not described or not described in the existing resource set for information improvement;
the cloud platform is used for receiving session data input by a user through a text box, submitting the session data to the application server and establishing information communication between the user and the AI;
the application server is used for directly feeding back the common session data of the client if the local database stores the relevant feedback information, and submitting the common session data to a third-party service interface for acquisition if the common session data does not store the relevant feedback information;
the application server is used for entering an AI algorithm model and returning an instruction result after processing through a relevant algorithm when receiving the instruction data of the client;
the application server is used for processing the returned instruction result, executing the returned instruction through a local script language after the client receives the instruction result, and responding to the effect on the cloud platform.
A storage medium, wherein the storage medium stores a program for artificial intelligence assisted software development, which when executed by a processor implements the steps of the method for artificial intelligence assisted software development as described above.
The invention discloses a method, a system and a storage medium for assisting software development based on artificial intelligence, wherein the method comprises the following steps: the cloud platform receives an operation instruction of a user, and searches resources which are not described or are not described completely in the existing resource set for information improvement; the cloud platform receives session data input by a user through a text box, submits the session data to an application server, and establishes information communication between the user and the AI; after the application server receives the common session data of the client, if the local database stores the relevant feedback information, the feedback is directly carried out, and if the local database does not store the relevant feedback information, the local database is submitted to a third-party service interface for obtaining; when the application server receives the instruction data of the client, the client enters an AI algorithm model and returns an instruction result after being processed by a relevant algorithm; and the application server processes the returned instruction result, executes the returned instruction through the local script language after the client receives the instruction result, and responds the effect on the cloud platform. The invention carries out knowledge matching in a huge cloud application library through AI to find out the business effect to be realized close to the target requirement, thereby providing direct and indirect help for developers; the method aims to give full play to the advantages of the accumulated component library, more reasonably utilize the existing resources, achieve higher development efficiency, reduce development period and improve reusability.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of the method of the present invention for assisting software development based on artificial intelligence;
FIG. 2 is a flowchart of step S10 in the preferred embodiment of the method for assisting software development based on artificial intelligence of the present invention;
FIG. 3 is a flowchart of step S30 in the preferred embodiment of the method for assisting software development based on artificial intelligence of the present invention;
FIG. 4 is a flowchart of step S40 in the preferred embodiment of the method for assisting software development based on artificial intelligence of the present invention;
FIG. 5 is a diagram illustrating the operation of session data input in the preferred embodiment of the method for assisting software development based on artificial intelligence;
FIG. 6 is a flow chart illustrating the arrangement of resource pools in the preferred embodiment of the method for assisting software development based on artificial intelligence according to the present invention;
FIG. 7 is a diagram of an information processing interface for inputting a first instruction in the preferred embodiment of the method for assisting software development based on artificial intelligence;
FIG. 8 is a diagram of an information processing interface for inputting a second instruction in the preferred embodiment of the method for assisting software development based on artificial intelligence;
FIG. 9 is a diagram of an information processing interface for inputting a third command in the preferred embodiment of the method for assisting software development based on artificial intelligence;
FIG. 10 is a functional block diagram of a preferred embodiment of the system for artificial intelligence-based aided software development.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, a method for assisting software development based on artificial intelligence according to a preferred embodiment of the present invention is a method for assisting software development based on artificial intelligence, wherein the method for assisting software development based on artificial intelligence includes the following steps:
and step S10, the cloud platform receives an operation instruction of a user, and searches resources which are not described or are not described completely in the existing resource set for information improvement.
Specifically, the application library includes all resources on the development platform, such as components, services, processes, forms, and the like, and a huge application library is big data that an AI (Artificial Intelligence) needs to mine, so that corresponding resource arrangement is necessary; the method comprises the steps that a user searches resources which are not described or not perfectly described in an existing resource set on a cloud-end platform, the resources are managed in a centralized mode, all the resources are stored in a database, the searching mode is carried out through query statements of the database, such as sql, different sql condition combinations can find out incomplete resources, such as a simple data conversion component, the description is only 'data conversion', but the resources are specifically converted into xml or json or other formats, sometimes the description is not specific, and the resources belong to resources to be sorted; and after the information is perfected, the information is stored in the database again to be used as an application library.
Please refer to fig. 2, which is a flowchart of step S10 in the preferred embodiment of the method for assisting software development based on artificial intelligence according to the present invention.
As shown in fig. 2, the step S10 includes:
s11, storing all resources in a database set in advance for management and control;
s12, after the cloud platform receives the operation instruction of the user, searching is carried out through the query statement of the database;
s13, searching resources which are not described or not described well in the existing resource set in the database, perfecting the information and then storing the information into the database again to be used as an application library.
And step S20, the cloud platform receives the session data input by the user through the text box, submits the session data to the application server, and establishes information exchange between the user and the AI.
Specifically, when conversation communication is carried out, the interfaces can be various, the default of the invention is a communication interface of a chat-like tool made by html5, the upper part of the general interface is chat content, the lower part of the general interface is an information input box and a sending button, and the object of communication is information communication between a common user and an AI.
Conversation refers to daily natural communication language, and a user inputs conversation data through a text box in fig. 5, and the data is submitted to an application server, wherein the data includes general conversation data and instruction data.
And step S30, after the application server receives the common session data of the client, if the local database is in the relevant feedback information, the feedback is directly carried out, and if not, the local database is submitted to a third-party service interface for acquisition.
Specifically, after receiving data of the client, the application server firstly judges whether the data is common session data or instruction data, if the data is common session data, verifies whether the local database has related feedback information, if the local database has direct feedback, and if the local database has no feedback information, submits the local database to a third-party service interface for obtaining.
By way of example, a hundredth degree provides an interface for the following code
String getURL＝″http://www.tuling123.com/openapi/apikey＝″+APIKEY+
+INFO；
URL getUr1＝new URL(getURL)；
HttpURLConnection connection＝(HttpURLConnection)getUrl.openConnection()；
connection.connect()；
Then, only the key and the text need to be provided, the relevant information can be fed back, the key is provided by a third-party service and is a unique identification code, and the info is the text submitted to the third party by the user, is input on the interface by the user, and then is fed back to the client interface to be displayed.
Please refer to fig. 3, which is a flowchart of step S30 in the preferred embodiment of the method for assisting software development based on artificial intelligence according to the present invention.
As shown in fig. 3, the step S30 includes:
s31, after receiving the data of the client, the application server judges whether the data is common session data or instruction data;
and S32, if the data is common session data, verifying whether the local database has relevant feedback information, if yes, directly feeding back, and if not, submitting to a third-party service interface for acquisition.
And step S40, when the application server receives the instruction data of the client, the application server enters an AI algorithm model and returns an instruction result after the AI algorithm model is processed by a relevant algorithm.
Specifically, when the data transmitted from the client is the instruction data, the AI algorithm model is entered, as shown in fig. 6, the application server first reads the resource library sorted by the system database, and then puts the resource library and the session instruction into the first algorithm: the cosine similarity calculation method has the algorithm formula of
Wherein A and B are both vectors, and the cosine similarity algorithm returns a scoreThe result set of (a) (0.5), b (0.3) … …, the highest score is placed at the top of the result set by bubble ordering, if there is only one result of the highest score, the instruction result is returned directly, if there is more than one result, the second algorithm is entered: and the probability algorithm has certain randomness and is set according to certain weight, and finally an instruction result closest to the user requirement is returned.
Please refer to fig. 4, which is a flowchart of step S40 in the preferred embodiment of the method for assisting software development based on artificial intelligence according to the present invention.
As shown in fig. 4, the step S40 includes:
s41, when the application server receives the instruction data of the client, entering an AI algorithm model;
s42, the application server firstly reads the resource library arranged by the system database, and then puts the resource library and the session command into a cosine similarity algorithm;
s43, returning a result set with scores through a cosine similarity algorithm, and placing the result set with the highest scores at the top of the result set through bubble sorting;
and S44, if only one result with the highest score exists, directly returning the instruction result, and if more than one result exists, entering a probability algorithm, and finally returning an instruction result closest to the user requirement according to certain weight setting.
And step S50, the application server processes the returned instruction result, and after the client receives the instruction result, the client executes the returned instruction through the local script language and responds the effect on the cloud platform.
Specifically, the application server processes a returned instruction result, and after receiving the instruction result, the client executes the returned instruction through the local scripting language and responds to the effect on the platform; for example, a user inputs instruction information of '@ menu help me open function library', the instruction information is processed by an application server and then returns a menu instruction, and after receiving the instruction code, a client calls a scripting language to execute a corresponding interface and open a function library window of a cloud platform; as shown with reference to FIG. 7; if the user inputs instruction information of the '@ component cosine component', a func instruction is returned after the instruction information is processed by the application server, the client side calls the script language to execute a corresponding interface after receiving the instruction code, and the component of the cosine algorithm is automatically drawn for the user in the service designer; as shown with reference to FIG. 8; if the user inputs "@ service order processing" instruction information, after the instruction information is processed by the application server, an oe instruction is returned, after the client receives the instruction code, the client calls the script language to execute a corresponding interface, and automatically draws a service logic diagram closest to the requirement of the user in a service designer, as shown in fig. 9.
The key points of the invention are big data, AI artificial intelligence and a cloud development platform; by collecting and sorting data sources such as components, services, workflows, service logics, UI forms, code fragments and the like, the development of a service system by developers is effectively assisted, an exchange mode which is closer to natural language is used in the assisting process, the threshold of users is reduced to the minimum, and the oriented user group can even be a non-professional person; finally, the main purposes that the development period is shortened and the cost is reduced are achieved.
The invention combines big data, artificial intelligent development auxiliary new mode, greatly reduces the use threshold of the cloud development platform in the actual use process, reduces the newly-designed 3-day training time to 1 day, and can formally enter the working post, and has great assistance effect in the use process, because the resource library is huge, the place where the resource is placed is not known for many times, or even the existence of the resource is not known, the AI assistance is used, the repeated development of the resource is linearly reduced, the reusability is obviously improved, the existing resource is more reasonably utilized, and the development period is greatly reduced; it is also possible for non-professionals, such as service personnel, to perform simple tasks, even routine maintenance, with the aid of AI.
In addition, as shown in fig. 10, the present invention further provides a system for assisting software development based on artificial intelligence, wherein the system for assisting software development based on artificial intelligence comprises:
a cloud platform 10, an application server 20 and a client 30; the application server 20 is connected to the cloud platform 10 and the client 30 respectively; the cloud platform 10 is configured to receive an operation instruction of a user, and search resources that are not described or are not described in the existing resource set for information improvement; the cloud platform 10 is configured to receive session data input by a user through a text box, submit the session data to the application server 20, and establish information exchange between the user and the AI; the application server 20 is configured to, after receiving the common session data of the client 30, directly perform feedback if the local database stores relevant feedback information, and if not, submit the feedback to a third-party service interface for acquisition; the application server 20 is configured to enter an AI algorithm model and return an instruction result after processing through a relevant algorithm when receiving the instruction data of the client 10; the application server 20 is configured to process the returned instruction result, execute the returned instruction through a local scripting language after the client 30 receives the instruction result, and respond to the effect on the cloud platform 10.
The invention also provides a storage medium, wherein the storage medium stores a program based on artificial intelligence assisted software development, and the program based on artificial intelligence assisted software development realizes the steps of the method based on artificial intelligence assisted software development when being executed by a processor; as described above.
In summary, the present invention provides a method, a system and a storage medium for assisting software development based on artificial intelligence, wherein the method comprises: the cloud platform receives an operation instruction of a user, and searches resources which are not described or are not described completely in the existing resource set for information improvement; the cloud platform receives session data input by a user through a text box, submits the session data to an application server, and establishes information communication between the user and the AI; after the application server receives the common session data of the client, if the local database stores the relevant feedback information, the feedback is directly carried out, and if the local database does not store the relevant feedback information, the local database is submitted to a third-party service interface for obtaining; when the application server receives the instruction data of the client, the client enters an AI algorithm model and returns an instruction result after being processed by a relevant algorithm; and the application server processes the returned instruction result, executes the returned instruction through the local script language after the client receives the instruction result, and responds the effect on the cloud platform. The invention carries out knowledge matching in a huge cloud application library through AI to find out the business effect to be realized close to the target requirement, thereby providing direct and indirect help for developers; the method aims to give full play to the advantages of the accumulated component library, more reasonably utilize the existing resources, achieve higher development efficiency, reduce development period and improve reusability.
Of course, it will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program instructing relevant hardware (such as a processor, a controller, etc.), and the program may be stored in a computer readable storage medium, and when executed, the program may include the processes of the above method embodiments. The storage medium may be a memory, a magnetic disk, an optical disk, etc.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (6)
1. A method for assisting software development based on artificial intelligence is characterized in that the method for assisting software development based on artificial intelligence comprises the following steps:
the cloud platform receives an operation instruction of a user, and searches resources which are not described or are not described completely in the existing resource set for information improvement;
the cloud platform receives session data input by a user through a text box, submits the session data to an application server, and establishes information communication between the user and the AI;
after the application server receives the common session data of the client, if the local database stores the relevant feedback information, the feedback is directly carried out, and if the local database does not store the relevant feedback information, the local database is submitted to a third-party service interface for obtaining;
when the application server receives the instruction data of the client, the client enters an AI algorithm model and returns an instruction result after being processed by a relevant algorithm;
the application server processes the returned instruction result, and after the client receives the instruction result, the returned instruction is executed through the local scripting language, and the effect is responded on the cloud platform;
the session data comprises common session data and instruction data;
after the application server receives the common session data of the client, if the local database stores the relevant feedback information, the feedback is directly performed, and if the local database stores the relevant feedback information, the feedback is submitted to a third-party service interface to perform acquisition, which specifically comprises the following steps:
after receiving the data of the client, the application server judges whether the data is common session data or instruction data;
if the session data is common session data, verifying whether the local database has related feedback information, if so, directly feeding back, and if not, submitting the feedback information to a third-party service interface for acquisition;
knowledge matching is carried out in a huge cloud application library through AI, and a business effect which is close to a target requirement and is to be achieved is found out.
2. The method for assisting in software development based on artificial intelligence according to claim 1, wherein the cloud platform receives an operation instruction of a user, and searching resources which are not described or are not described well in an existing resource set for information improvement specifically comprises:
all resources are stored in a database in advance for centralized control;
after receiving an operation instruction of a user, the cloud platform searches through an inquiry statement of the database;
searching resources which are not described or not described well in the existing resource set in the database, perfecting the information, and storing the information into the database again to be used as an application library.
3. The method for assisting software development based on artificial intelligence according to claim 2, wherein the application library contains all resources on a development platform, the resources including: components, businesses, processes, and forms.
4. The method for assisting in software development based on artificial intelligence according to claim 1, wherein the step of returning the instruction result after the instruction data of the client is received by the application server after the instruction data is processed by the AI algorithm model through the correlation algorithm specifically comprises:
when the application server receives the instruction data of the client, the AI algorithm model is entered;
the application server firstly reads a resource library arranged in a system database, and then the resource library and the session instruction are put into a cosine similarity algorithm;
returning a result set with scores through a cosine similarity algorithm, and placing the result set with the highest score at the top of the result set through bubble sorting;
if only one result with the highest score exists, the instruction result is directly returned, and if more than one result exists, a probability algorithm is entered, and finally an instruction result closest to the user requirement is returned according to certain weight setting.
5. A system for assisting software development based on artificial intelligence, comprising: the system comprises a cloud platform, an application server and a client; the application server is respectively connected with the cloud platform and the client;
the cloud platform is used for receiving an operation instruction of a user, searching resources which are not described or not described in the existing resource set for information improvement;
the cloud platform is used for receiving session data input by a user through a text box, submitting the session data to the application server and establishing information communication between the user and the AI;
the application server is used for directly feeding back the common session data of the client if the local database stores the relevant feedback information, and submitting the common session data to a third-party service interface for acquisition if the common session data does not store the relevant feedback information;
the application server is used for entering an AI algorithm model and returning an instruction result after processing through a relevant algorithm when receiving the instruction data of the client;
the application server is used for processing the returned instruction result, executing the returned instruction through a local script language after the client receives the instruction result, and responding to the effect on the cloud platform;
the session data comprises common session data and instruction data;
after receiving the data of the client, the application server judges whether the data is common session data or instruction data;
if the session data is common session data, verifying whether the local database has related feedback information, if so, directly feeding back, and if not, submitting the feedback information to a third-party service interface for acquisition;
knowledge matching is carried out in a huge cloud application library through AI, and a business effect which is close to a target requirement and is to be achieved is found out.
6. A storage medium storing a program for artificial intelligence assisted software development, the program for artificial intelligence assisted software development when executed by a processor implementing the steps of the method for artificial intelligence assisted software development as claimed in any one of claims 1 to 4.
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| CN109992250B (en) * | 2019-04-15 | 2022-08-30 | 深圳怡化电脑股份有限公司 | Automatic programming method, device, server and storage medium |
| CN110780861A (en) * | 2019-09-10 | 2020-02-11 | 广州市金度信息科技有限公司 | Method, system and storage medium for application development based on artificial intelligence |
| US20230066178A1 (en) * | 2019-12-31 | 2023-03-02 | Asiainfo Technologies (China), Inc. | Ai intelligentialization based on signaling interaction |
| CN112232995A (en) * | 2020-10-29 | 2021-01-15 | 云南师范大学 | On-line teaching system integrating artificial intelligence and virtual reality technology |
| EP4174639A4 (en) * | 2021-06-22 | 2024-09-04 | Beijing Baidu Netcom Sci & Tech Co Ltd | Auxiliary processing method and device for software development, storage medium and program product |
| CN113360144B (en) * | 2021-06-22 | 2023-08-08 | 北京百度网讯科技有限公司 | Auxiliary processing method, device, storage medium and program product for software development |
| CN115358642B (en) * | 2022-10-20 | 2023-01-03 | 深圳市诚王创硕科技有限公司 | Intelligent auxiliary method and system for software development |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106021366A (en) * | 2016-05-10 | 2016-10-12 | 浙江大学 | API (Application Programing Interface) tag recommendation method based on heterogeneous information |
| CN106250159A (en) * | 2016-08-04 | 2016-12-21 | 深圳市微我科技有限公司 | A kind of hybrid programming method utilizing natural language |
| CN106294786A (en) * | 2016-08-12 | 2017-01-04 | 北京创新乐知信息技术有限公司 | A kind of code search method and system |
| 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 |
| CN107193545A (en) * | 2017-04-07 | 2017-09-22 | 广东省科技基础条件平台中心 | Multilingual co-development device, the method and system of a kind of component-oriented |
| CN107391111A (en) * | 2017-06-22 | 2017-11-24 | 刘武丰 | Artificial intelligence co-development framework and implementation method |
Family Cites Families (3)
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|---|---|---|---|---|
| CA2606448A1 (en) * | 2007-10-19 | 2009-04-19 | Gerard Voon | Ai/computer to self program programs |
| EP2748711A4 (en) * | 2011-08-26 | 2016-03-02 | Aaron Gerard Franco | Data infrastructure for providing interconnectivity between platforms, devices, and operating systems |
| US9519477B2 (en) * | 2013-09-16 | 2016-12-13 | International Business Machines Corporation | Automatic pre-detection of potential coding issues and recommendation for resolution actions |
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Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106021366A (en) * | 2016-05-10 | 2016-10-12 | 浙江大学 | API (Application Programing Interface) tag recommendation method based on heterogeneous information |
| CN106250159A (en) * | 2016-08-04 | 2016-12-21 | 深圳市微我科技有限公司 | A kind of hybrid programming method utilizing natural language |
| CN106294786A (en) * | 2016-08-12 | 2017-01-04 | 北京创新乐知信息技术有限公司 | A kind of code search method and system |
| 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 |
| CN107193545A (en) * | 2017-04-07 | 2017-09-22 | 广东省科技基础条件平台中心 | Multilingual co-development device, the method and system of a kind of component-oriented |
| CN107391111A (en) * | 2017-06-22 | 2017-11-24 | 刘武丰 | Artificial intelligence co-development framework and implementation method |
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