CN115344239A - Business demand analysis method and device, computer equipment and storage medium - Google Patents
Business demand analysis method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a business demand analysis method, a device, a computer device and a storage medium, relating to the field of data processing, wherein the method comprises the following steps: acquiring service demand data; extracting keyword data from the business demand data; inquiring business analysis associated data corresponding to the keyword data in a business analysis database; and sequencing the business analysis associated data according to the designated dimension to generate business requirement analysis data. The invention can ensure the comprehensiveness and accuracy of the service requirement analysis and effectively improve the quality and efficiency of the service system.
Description
Technical Field
The present invention relates to the field of business systems, and in particular, to a method and an apparatus for analyzing business requirements, a computer device, and a storage medium.
Background
All system software is servicing business. Business requirement changes are an important prerequisite for software development or testing. A fast response of the business system can only be achieved if the business needs are better understood and resolved.
In practical applications, on one hand, businesses in many industries have common or common rules; on the other hand, it is difficult for the implementation team to equip various professional analysts of professional expertise. Common business analysts are unsmooth, are easy to have incomplete understanding and consideration, and are easy to become the bottleneck of delivery implementation and the source of quality problems.
Disclosure of Invention
Therefore, it is necessary to provide a method, an apparatus, a computer device and a storage medium for analyzing business requirements to ensure comprehensiveness and accuracy of business requirement analysis and effectively improve quality and efficiency of a business system.
A business requirement analysis method comprises the following steps:
acquiring service demand data;
extracting keyword data from the business demand data;
inquiring business analysis associated data corresponding to the keyword data in a business analysis database;
and sequencing the business analysis associated data according to the designated dimension to generate business requirement analysis data.
A business need analysis apparatus comprising:
the acquisition module is used for acquiring service demand data;
the keyword module is used for extracting keyword data from the service demand data;
the query module is used for querying business analysis associated data corresponding to the keyword data in a business analysis database;
and the analysis module is used for sequencing the business analysis associated data according to the specified dimensionality to generate business demand analysis data.
A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the business requirement analysis method when executing the computer program.
A computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the business requirement analysis method described above.
According to the business demand analysis method, the business demand analysis device, the computer equipment and the storage medium, after business demand data are received, keyword data are extracted from the business demand data, then business analysis associated data which are comprehensive in demand coverage and carefully considered are matched by means of the business analysis database, the business analysis associated data have the analysis level of a high-grade business analyst, and finally the business analysis associated data are further sequenced based on the specified dimensionality, so that the risk of implementing analysis can be reduced, and the quality and efficiency of development or testing can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
Fig. 1 is a schematic diagram of an application environment of a business requirement analysis method according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a business requirement analysis method according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a business requirement analysis apparatus according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a computer device according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The account method provided by this embodiment can be applied to the application environment shown in fig. 1, in which the user terminal communicates with the server terminal through the network. The user terminal includes, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The server can be implemented by an independent server or a server cluster composed of a plurality of servers.
In an embodiment, as shown in fig. 2, a method for analyzing a service requirement is provided, which is described by taking the method applied to the server in fig. 1 as an example, and includes the following steps S10 to S40.
And S10, acquiring service requirement data.
Understandably, the business requirement data can come from the requirement document, and can also be input item by the staff. Here, the business requirement data comprises the goals that the business system needs to achieve.
And S20, extracting keyword data from the service demand data.
Understandably, the business requirement data can be analyzed to obtain a plurality of keywords and generate a core keyword list. The keyword data includes the above keyword list. In some examples, the parsed multiple keywords may form one or more keyword combinations.
And S30, inquiring business analysis related data corresponding to the keyword data in a business analysis database.
Understandably, business analysis associated data may refer to analysis data of a business object. Herein, a designated business object includes, but is not limited to, a business scenario, a business point, a business interface.
In some examples, a plurality of service scenarios are preset in the service analysis database, each scenario has corresponding feature data, the keyword data and the feature data may be compared to calculate the similarity between the keyword data and the feature data, and the scenario with the highest similarity is determined as the service scenario corresponding to the service demand data. In other cases, the scene with the similarity higher than the preset scene threshold may also be determined as the service scene corresponding to the service demand data. This may form a set of business scenarios.
After the service scene is determined, all service nodes in the service scene can be extracted, the correlation degree between each service node and the keyword data is respectively calculated, and the service node with the correlation degree larger than a preset threshold (which can be self-defined or intelligently selected according to service demand data) is determined as a service point corresponding to the service demand data. The service nodes may form a set of service nodes.
After the service points are determined, the corresponding service interfaces can be found in a service analysis database. In some cases, all service interfaces associated with the service point may be obtained, or service interfaces associated with the service point and associated with the keyword data may be obtained. In some cases, after the traffic interface is acquired, upstream data and/or downstream data related to the traffic interface may also be acquired. These service interfaces may constitute a set of service interfaces.
And S40, sequencing the business analysis associated data according to the specified dimensionality to generate business demand analysis data.
Understandably, the specified dimension can be defined according to actual needs, such as importance and/or influence surface. Here, the business analysis related data includes a plurality of pieces of analysis data. The scores of all the analysis data can be calculated according to the specified dimensions, and the analysis data are sorted according to the scores to form the service requirement analysis data. In some examples, the business need analysis data may be a result of a preliminary analysis of the business need data. The staff can manually adjust the business requirement analysis data on the basis, and a final business requirement analysis result is formed.
In this embodiment, after receiving the service requirement data, extracting the keyword data from the service requirement data, matching service analysis associated data with comprehensive requirement coverage and careful consideration by using the service analysis database, where the service analysis associated data has an analysis level of a senior service analyst, and finally further sorting the service analysis associated data based on a specified dimension, so as to reduce a risk of performing analysis and help improve the quality and efficiency of development or testing.
Optionally, step S30, before the business analysis database queries the business analysis related data corresponding to the keyword data, includes:
s31, acquiring business process data of a specified industry;
s32, extracting a plurality of service lines from the service flow data, wherein each service line comprises a plurality of service points;
s33, acquiring node analysis data associated with the service point; the node analysis data comprises interface data and/or expert data;
and S34, storing the node analysis data and the service points in a correlation mode to construct the service analysis database.
Understandably, a given industry may refer to an industry with business needs, such as securities, banks, insurance, and the like. The business process data can be process data generated during the operation of business systems of the industries. The service line refers to the processing flow of a certain service, such as loan, deposit, and the like. Each service line may be divided into a plurality of service points. Some service points need to perform certain service operations.
The node analysis data is divided into two types, one is interface data, and the other is expert data. The interface data relates to the calling interface, upstream data and downstream data of the service point. The expert data is based on empirical data summarized by the business experts. The expert data can help the staff to better understand the functional requirements of the service points, and then the accuracy of the service analysis associated data is evaluated in an auxiliary manner.
And storing the node analysis data and the service points in a correlation manner to construct a service analysis database. In some examples, the respective service networks may be constructed based on the service lines. When a certain service point is located, if the service point is the intersection of a plurality of service lines, all service points influenced by the service point can be quickly located. In some examples, each service point may be tagged with a degree of importance.
In this embodiment, a service analysis database is established based on expert data and service flow data, so that each analysis data in the database has an association relationship, and interface call relationships and upstream and downstream data flow relationships among all service points are managed conveniently.
Optionally, the interface data includes a call interface, upstream data and/or downstream data.
Understandably, the interface data includes a call interface, upstream data, and/or downstream data. One or more data call interfaces may exist for a service point. For non-originating service points, there is upstream data; for non-ending service points, there is downstream data.
Optionally, the specified dimension includes a degree of importance and/or an influence surface.
Understandably, the specified dimensions include degrees of importance and/or impact surfaces. The business analysis associated data includes a plurality of pieces of analysis data. In some cases, each piece of analytical data has a corresponding importance label. The importance of certain analysis data can be read directly from the importance tags. An impact surface may refer to the number of service points associated with a service point. In some cases, the influence range of the influence surface, such as a first-level influence surface, may be set according to actual needs, which refers to the number of peripheral service points directly associated with the service points; and the secondary influence surface refers to the number of peripheral service points with the number of stages not greater than 2 and associated with the service points.
Optionally, after step S40, that is, after the business analysis associated data is sorted according to the specified dimension and business requirement analysis data is generated, the method further includes:
and S50, receiving a correction instruction, correcting the service demand analysis data according to the correction instruction, and generating a service demand analysis result.
Understandably, the correction instruction refers to an instruction input by a worker for perfecting the service demand analysis data. The manual adjustment process is adopted, so that the finally obtained service demand analysis result can be more adaptive to the service demand data.
Optionally, after step S50, that is, after the receiving the correction instruction, the correcting the service demand analysis data according to the correction instruction, and generating a service demand analysis result, the method further includes:
and S60, updating the service analysis database by using the service demand analysis result.
Understandably, the newly generated service demand analysis result can be synchronized to the service analysis database, so that the analysis data quantity of the service analysis database is further enriched, and the newly generated service demand analysis data of the service analysis database is continuously improved.
Optionally, the service requirement data includes development requirement data and/or test requirement data.
Understandably, the business requirement data of the present embodiment includes development requirement data and/or test requirement data. That is to say, in the aspect of analyzing development requirements or test requirements, the service requirement analysis method provided by the embodiment has a competitive advantage, and can greatly improve the analysis efficiency (reducing manual participation) and the analysis quality (comprehensiveness and accuracy) of the service requirements.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In an embodiment, a service requirement analysis device is provided, and the service requirement analysis device corresponds to the service requirement analysis method in the above embodiments one to one. As shown in fig. 3, the service requirement analysis apparatus includes an obtaining module 10, a keyword module 20, an inquiry module 30, and an analysis module 40. The detailed description of each functional module is as follows:
an obtaining module 10, configured to obtain service requirement data;
a keyword module 20, configured to extract keyword data from the service demand data;
a query module 30, configured to query a business analysis database for business analysis related data corresponding to the keyword data;
and the analysis module 40 is configured to sort the business analysis related data according to the specified dimension, and generate business requirement analysis data.
Optionally, the service demand analysis device further includes a database construction module, where the database construction module includes:
the data acquisition unit is used for acquiring the business process data of the designated industry;
a service line extraction unit, configured to extract a plurality of service lines from the service flow data, where each service line includes a plurality of service points;
a node analysis data acquisition unit, configured to acquire node analysis data associated with the service point; the node analysis data comprises interface data and/or expert data;
and the database construction unit is used for storing the node analysis data and the service points in a correlation manner so as to construct the service analysis database.
Optionally, the interface data includes a call interface, upstream data and/or downstream data.
Optionally, the specified dimension includes a degree of importance and/or an influence surface.
Optionally, the service requirement analysis apparatus further includes:
and the correction module is used for receiving a correction instruction, correcting the service demand analysis data according to the correction instruction and generating a service demand analysis result.
Optionally, the service requirement analysis apparatus further includes:
and the updating module is used for updating the business analysis database by using the business requirement analysis result.
Optionally, the service requirement data includes development requirement data and/or test requirement data.
For specific limitations of the service requirement analysis device, reference may be made to the above limitations of the service requirement analysis method, which is not described herein again. All or part of each module in the service requirement analysis device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing the methods related to the business demand analysis method. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a business requirement analysis method.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring service demand data;
extracting keyword data from the business demand data;
inquiring business analysis associated data corresponding to the keyword data in a business analysis database;
and sequencing the business analysis associated data according to the designated dimension to generate business requirement analysis data.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring service demand data;
extracting keyword data from the business demand data;
inquiring business analysis associated data corresponding to the keyword data in a business analysis database;
and sequencing the business analysis associated data according to the specified dimension to generate business demand analysis data.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A business requirement analysis method is characterized by comprising the following steps:
acquiring service demand data;
extracting keyword data from the service demand data;
inquiring business analysis associated data corresponding to the keyword data in a business analysis database;
and sequencing the business analysis associated data according to the specified dimension to generate business demand analysis data.
2. The business requirement analysis method of claim 1, wherein before the business analysis database queries the business analysis associated data corresponding to the keyword data, the method comprises:
acquiring business process data of a specified industry;
extracting a plurality of service lines from the service flow data, wherein each service line comprises a plurality of service points;
acquiring node analysis data associated with the service point; the node analysis data comprises interface data and/or expert data;
and storing the node analysis data and the service points in a correlation mode to construct the service analysis database.
3. A business need analysis method in accordance with claim 2, wherein said interface data comprises call interfaces, upstream data and/or downstream data.
4. A business need analysis method in accordance with claim 1, wherein the specified dimensions include importance and/or impact surface.
5. The method for analyzing business requirements according to claim 1, wherein said ordering said business analysis associated data according to a specified dimension, after generating business requirement analysis data, further comprises:
and receiving a correction instruction, correcting the service demand analysis data according to the correction instruction, and generating a service demand analysis result.
6. The method for analyzing service requirements according to claim 5, wherein after receiving the modification instruction, modifying the service requirement analysis data according to the modification instruction, and generating a service requirement analysis result, the method further comprises:
and updating the business analysis database by using the business requirement analysis result.
7. A business need analysis method according to claim 1, wherein the business need data comprises development need data and/or test need data.
8. A business requirement analysis apparatus, comprising:
the acquisition module is used for acquiring service demand data;
the keyword module is used for extracting keyword data from the service demand data;
the query module is used for querying business analysis related data corresponding to the keyword data in a business analysis database;
and the analysis module is used for sequencing the business analysis associated data according to the specified dimensionality to generate business demand analysis data.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the business need analysis method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored, which computer program, when being executed by a processor, is adapted to carry out the method for analyzing a business need according to any one of claims 1 to 7.
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| CN202210953835.3A CN115344239A (en) | 2022-08-10 | 2022-08-10 | Business demand analysis method and device, computer equipment and storage medium |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112527813A (en) * | 2019-09-19 | 2021-03-19 | 浙江大搜车软件技术有限公司 | Data processing method and device of business system, electronic equipment and storage medium |
| CN114254014A (en) * | 2021-12-16 | 2022-03-29 | 软通智慧信息技术有限公司 | Business data display method, device, equipment and storage medium |
| CN114416036A (en) * | 2022-01-19 | 2022-04-29 | 平安壹钱包电子商务有限公司 | Service demand processing method, system, device and medium |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112527813A (en) * | 2019-09-19 | 2021-03-19 | 浙江大搜车软件技术有限公司 | Data processing method and device of business system, electronic equipment and storage medium |
| CN114254014A (en) * | 2021-12-16 | 2022-03-29 | 软通智慧信息技术有限公司 | Business data display method, device, equipment and storage medium |
| CN114416036A (en) * | 2022-01-19 | 2022-04-29 | 平安壹钱包电子商务有限公司 | Service demand processing method, system, device and medium |
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