KR20240031978A - Apparatus and server for providing requirements - Google Patents

Abstract

In a method of providing requirements required to achieve the purpose of a task assigned by a customer by utilizing a platform that provides crowdsourcing, task information regarding the task is received from the customer's terminal. Uploading to the platform; Receiving candidate requirements proposed based on task information from each of a plurality of participant terminals and uploading them to the platform; Receiving evaluation information on candidate requirements from each of a plurality of participant terminals and deriving an evaluation score for the candidate requirements; and selecting at least some of the candidate requirements as requirements based on the evaluation scores.

Description

{Apparatus and server for providing requirements}

This disclosure relates to a method and server providing requirements. More specifically, the present disclosure relates to a method and server that utilizes a platform that provides crowdsourcing to provide requirements required to achieve the purpose of a task delegated from a customer.

In various fields, including the software field, outsourcing, which involves taking on tasks requested by customers and providing results that satisfy the customer's requirements, is actively taking place. Customers who request outsourcing may not have specialized knowledge in the field related to the task, so it is important to ask the consignee what the goal is to achieve through the task and what elements are required to achieve the task's purpose. It may not be communicated clearly.

The customer's satisfaction with the results can only increase when the customer's intended purpose and requirements for achieving it are clearly communicated to the consignee and presented in appropriate expressions and terms commonly used in the field to which the task belongs. Therefore, it may be desirable to carry out procedures to establish task requirements prior to full-scale outsourcing work.

Task requirements can be accurately and efficiently identified by peers working in the field to which the task belongs. In order to improve the quality of results, technology may be required to utilize opinions suggested by peers.

Various embodiments are intended to provide a method and server for providing requirements. The technical problems to be achieved by the present disclosure are not limited to the technical problems described above, and other technical problems can be inferred from the following embodiments.

As a means of solving the above-described technical challenges, a platform that provides crowdsourcing according to an aspect of the present disclosure is utilized to obtain requirements required to achieve the purpose of a task delegated from a customer. The method includes receiving task information about the task from the customer's terminal and uploading it to the platform; Receiving candidate requirements proposed based on the task information from each of a plurality of participant terminals and uploading them to the platform; Receiving evaluation information about the candidate requirement from each of the plurality of participant terminals and deriving an evaluation score for the candidate requirement; and selecting at least some of the candidate requirements as the requirements based on the evaluation scores.

According to another aspect of the present disclosure, a server that provides requirements required to achieve the purpose of a task assigned by a customer using a platform that provides crowdsourcing includes: a memory storing at least one program; and a processor that provides requirements by executing the at least one program, wherein the processor receives task information related to the task from the customer terminal, uploads it to the platform, and receives task information about the task from the plurality of participant terminals. Receiving candidate requirements proposed based on the task information and uploading them to the platform, receiving evaluation information on the candidate requirements from each of the plurality of participant terminals to derive an evaluation score for the candidate requirements, Based on the evaluation score, at least some of the candidate requirements may be selected as the requirements.

Requirements may be provided from participants including those in the same field as the tasks assumed from the customer by the method and server for providing requirements according to the present disclosure. As requirements are provided by participants, it becomes clear what is required to achieve the purpose of the task, so the purpose of the task can be achieved more accurately and efficiently.

1 is a diagram illustrating elements constituting a system that provides requirements required to achieve the purpose of a task assigned by a customer by utilizing a platform that provides crowdsourcing according to some embodiments.
FIG. 2 is a flowchart illustrating steps configuring a method of providing requirements required to achieve the purpose of a task delegated from a customer using a platform providing crowdsourcing according to some embodiments.
Figure 3 is a block diagram showing elements constituting a server that provides requirements required to achieve the purpose of a task assigned by a customer by utilizing a platform that provides crowdsourcing according to some embodiments.

Hereinafter, embodiments for illustrative purposes only will be described in detail with reference to the attached drawings. Of course, the description below is only for specifying the embodiments and does not limit or limit the scope of the invention. Anything that can be easily inferred by an expert in the relevant technical field from the detailed description and examples is interpreted as falling within the scope of the rights.

Terms such as 'consists' or 'includes' used in the specification should not be construed as necessarily including all of the various components or steps described in the specification, and some of the components or steps may be included in the specification. It may not be included, or it should be interpreted that additional components or steps may be included.

Terms including ordinal numbers such as 'first' or 'second' used in this specification may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from other components.

The terms used in this specification have been selected as currently widely used general terms as much as possible in consideration of their functions in the present invention, but these may vary depending on the intention or precedents of those skilled in the art, the emergence of new technologies, etc. In addition, in certain cases, there are terms arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the relevant invention. Therefore, the terms used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than simply the name of the term.

These embodiments relate to a method and server for providing requirements, and detailed descriptions of matters widely known to those skilled in the art to which the following embodiments belong will be omitted.

1 is a diagram illustrating elements constituting a system that provides requirements required to achieve the purpose of a task assigned by a customer by utilizing a platform that provides crowdsourcing according to some embodiments.

Referring to FIG. 1, the system 1 for providing requirements includes a server 100 for providing requirements, a customer terminal 200, a plurality of participant terminals 300, and a platform for providing crowdsourcing (400). ) may include. However, it is not limited to this, and other general-purpose elements in addition to the elements shown in FIG. 1 may be further included in the system 1.

A client may refer to a client who requests a task with a specific purpose. For example, a task with a specific purpose may be delegated by an assignee. The consignee can perform the task on behalf of the customer and provide the customer with a result that satisfies the purpose of the task.

A task may refer to an event that is requested from a customer to a recipient in order to achieve a specific purpose. A task may mean work in a special field that is difficult to access from the general public, or it may mean work that requires a license or qualification by law to perform the job. For example, a task may mean the production of software or a program.

The purpose of a task can mean what the customer wants to achieve by requesting the task from the consignee. The purpose of a task can have various contents depending on what the task is. For example, if a task refers to the production of software or a program, the purpose of the task may refer to the profitability of the software or program.

Requirements may refer to matters required to achieve the purpose of a task assigned by a customer. Requirements may vary depending on the purpose of the task. For example, if the purpose of the task is to generate profit by producing software or programs, the requirements may include ease of use, accessibility, completeness, and market suitability.

Requirements can be presented in various ways for the same task and task purpose depending on various perspectives. In particular, when a customer entrusts a consignee with a task in an area with which he or she is unfamiliar, the requirements may be given as inappropriate or inefficient. Therefore, it may be desirable for requirements to be set by those with knowledge of the task. In particular, it may be appropriate for industry peers to set requirements in the field to which the task belongs.

A plurality of participants can transmit and receive information to and from the server 100 through a plurality of participant terminals 300. Multiple participants can provide crowdsourcing. Specifically, a plurality of participants may implement crowdsourcing by transmitting information about requirements to the server 100 through a plurality of participant terminals 300. The plurality of participants may be peers in the field of the task.

A terminal may refer to an electronic device that transmits and receives information with the server 100 and receives information from the platform 400. For example, a terminal may refer to a desktop connected to a local area network (LAN), or it may refer to a portable electronic device such as a smartphone or tablet PC connected to a wireless data communication network.

The server 100 can transmit and receive various information with the customer's terminal 200, each of the plurality of participant terminals 300, and the platform 400. The server 100 may receive information from the customer's terminal 200 or each of the plurality of participant terminals 300, or may transmit information to the customer's terminal 200 or each of the plurality of participant terminals 300. The server 100 may download information from the platform 400 or upload information to the platform 400.

The customer's terminal 200 and the plurality of participant terminals 300 may transmit information to the server 100 or receive information from the server 100. The customer's terminal 200 and a plurality of participant terminals 300 may receive information through the platform 400.

The platform 400 can exchange data with the server 100 and provide data to the customer's terminal 200 and a plurality of participant terminals 300. Information uploaded to the platform 400 may be provided to the customer and a plurality of participants through the customer's terminal 200 and a plurality of participant terminals 300. Platform 400 may provide crowdsourcing. For example, the platform 400 may refer to an online or offline community comprised of practitioners in a specific field.

Crowdsourcing can mean the participation of the public in the process of performing a task. Crowdsourcing can refer to an extension of outsourcing, which involves requesting a task to a specific person. An example of a crowdsourcing method may include Wikipedia.

The system 1 may utilize the platform 400 that provides crowdsourcing to provide requirements required to achieve the purpose of the task assigned by the customer. In particular, through the system (1), peers with knowledge of the task can present candidates for requirements, and the requirements can be selected from them, so that the requirements are preferably set and the purpose of the task is accurate and efficient. can be achieved.

FIG. 2 is a flowchart illustrating steps configuring a method of providing requirements required to achieve the purpose of a task delegated from a customer using a platform providing crowdsourcing according to some embodiments.

Referring to FIG. 2, the server 100 may perform steps 210 to 240 of configuring a method for providing requirements. However, it is not limited to this, and other general-purpose steps in addition to the steps shown in FIG. 2 may be performed by the server 100.

The server 100 may receive task information about the task from the customer's terminal 200 and upload it to the platform 400.

The customer can transmit task information to the server 100 through the customer's terminal 200. Task information may be information about a task assigned by a customer. For example, task information may include the customer's name, task title, task content, processing deadline, cost information, and task purpose.

The server 100 may upload task information transmitted from the customer's terminal 200 to the platform 400. Task information uploaded to the platform 400 may be provided to the customer and a plurality of participants through the customer's terminal 200 and a plurality of participant terminals 300.

The server 100 may receive candidate requirements proposed based on task information from each of the plurality of participant terminals 300 and upload them to the platform 400.

A plurality of participants may propose candidate requirements based on task information uploaded to the platform 400. Multiple participants can analyze task information and use their knowledge to propose requirements that can achieve the purpose of the task as candidate requirements.

Candidate requirements may be transmitted to the server 100 through each of the plurality of participant terminals 300. Candidate requirements may be multiple candidate requirements proposed by multiple participants. Each of multiple participants may propose more than one candidate requirement.

The server 100 may upload candidate requirements transmitted from each of the plurality of participant terminals 300 to the platform 400. Candidate requirements uploaded to the platform 400 may be provided to the customer and a plurality of participants through the customer's terminal 200 and a plurality of participant terminals 300.

The server 100 may receive evaluation information on candidate requirements from each of the plurality of participant terminals 300 and derive an evaluation score for the candidate requirements.

A plurality of participants can receive candidate requirements through the platform 400 and generate evaluation information about the candidate requirements. Each of the plurality of participant terminals 300 may transmit evaluation information about candidate requirements to the server 100. The evaluation information may be information about whether the candidate requirements are suitable to ensure that the purpose of the task can be achieved. For example, the evaluation information may be text data representing an opinion about the candidate requirement or a numerical rating of the candidate requirement.

The server 100 may derive an evaluation score for the candidate requirement based on evaluation information about the candidate requirement transmitted from each of the plurality of participant terminals 300. A candidate requirement may be a plurality of candidate requirements, and evaluation information about the candidate requirement may also be a plurality of evaluation information. The server 100 may derive an evaluation score from evaluation information in various ways.

For example, when the evaluation information is text data, the evaluation score may represent the number of positive and negative texts or the ratio between the two. Whether text data is positive can be determined through keyword analysis or natural language processing.

As another example, when the evaluation information is a numerical rating, the evaluation score may be a plurality of evaluation information and may represent the average of the plurality of ratings. Alternatively, a weighted average method in which weights are considered in the process of calculating the average or a method of calculating the average by removing noise data may be applied.

The server 100 may select at least some of the candidate requirements as requirements based on the evaluation scores.

Since the server 100 can derive an evaluation score for each of the plurality of candidate requirements, at least some of the plurality of candidate requirements can be selected as requirements therefrom. For example, the server 100 may select a high specific number among a plurality of candidate requirements as a requirement based on the evaluation score, or select a number corresponding to a high specific ratio as a requirement.

The server 100 may transmit the selected requirements to each of the customer's terminal 200 and a plurality of participant terminals 300. Alternatively, requirements may be passed from the customer to the person in charge of the task. As requirements can be communicated to the person in charge, etc., the purpose of the task can be achieved more accurately and efficiently.

The server 100 may receive comments on candidate requirements from each of the plurality of participant terminals 300 and upload them to the platform 400.

Each of the plurality of participant terminals 300 may transmit a comment to the server 100. Comments may represent opinions expressed by multiple participants regarding candidate requirements. Alternatively, comments may be in the form of annotations. Comments may be text data representing opinions about candidate requirements.

The server 100 may upload comments transmitted from each of the plurality of participant terminals 300 to the platform 400. Comments uploaded to the platform 400 may be provided to the customer and a plurality of participants through the customer's terminal 200 and a plurality of participant terminals 300.

Comments can be referenced in the process of generating evaluation information. A plurality of participants may generate evaluation information about candidate requirements based on comments provided from the platform 400. Accordingly, other people's comments can be referenced and the accuracy of generating evaluation information can be improved.

The server 100 may receive dependency information indicating the dependency between items included in the candidate requirements and upload it to the platform 400. Matters included in the candidate requirements may refer to a plurality of candidate requirements constituting the candidate requirements.

Multiple participants can repeat the process of generating evaluation information for multiple candidate requirements, so if there are things that are dependent on each other due to correlation or relevance, specifying the dependency helps in the process of generating evaluation information. This can be. In the method according to the present disclosure, dependency information provided by a plurality of participants can be utilized.

As an example, dependency information may include refinements regarding specification, constraints regarding scope limitations, preconditions and sufficient conditions regarding logical precedence, and analogies regarding similarities between the two. It may contain at least one of the following: A plurality of participants determine that a specific candidate requirement corresponds to one of the examples of dependency information in relation to other candidate requirements and use that one as dependency information through each of the plurality of participant terminals 300 to the server 100. ) can be transmitted to.

The server 100 may upload dependency information transmitted from each of the plurality of participant terminals 300 to the platform 400. Dependency information uploaded to platform 400 may be provided to other participants. Accordingly, dependency information may be referenced in the process of generating evaluation information for candidate requirements. Since a plurality of participants can refer to other candidate requirements that have dependencies in the process of generating evaluation information for a specific candidate requirement, the evaluation information can be of high quality.

As described above, the dependency information has been described as being provided directly by a plurality of participants, but this is not limited, and the dependency information may be identified by the server 100. For example, the server 100 may be implemented to extract keywords from the content of candidate requirements and set dependency information using relationships between keywords. Natural language processing, etc. can be used to extract keywords, and machine learning using neural network algorithms can be performed in the process of matching dependency information from keywords.

In the process of deriving evaluation scores for candidate requirements, the server 100 may transmit questions according to a Likert scale to each of the plurality of participant terminals 300, and the plurality of participant terminals 300 ) You can calculate the evaluation score by receiving responses to the questions from each.

The Likert scale is an indicator for evaluating the respondent's attitude toward a specific object, and can be implemented in a way that questions about a specific object are related to numerical values. For example, items may be structured in such a way that 5 to 1 point is assigned to very positive, positive, average, negative, and very negative. Alternatively, the texts may be structured on a 3-point or 7-point scale instead of a 5-point scale. The Likert scale can be effectively used to analyze a specific target in that it provides quantification of the respondent's attitude toward a specific target.

Each of the plurality of participant terminals 300 may transmit responses to questions to the server 100. The server 100 may calculate an evaluation score for the candidate requirement based on the response transmitted from each of the plurality of participant terminals 300. For example, the questions may be composed of 5-point Likert scale questions, and the evaluation score may be calculated as a value between 1 and 5 as the average of the responses to the questions.

When the evaluation score is derived according to the Likert scale, the server 100 may select at least some of the candidate requirements as requirements based on the evaluation score according to the Likert scale. Specifically, when the evaluation score is calculated as the average of the responses to the 5-point Likert scale questions, the server 100 selects candidate requirements with an evaluation score greater than a threshold among a plurality of candidate requirements as requirements. can do. For example, the server 100 may select candidate requirements with a score of 3 or more as requirements. Alternatively, the server 100 may select candidate requirements as requirements in two stages by separating the sections of 3 or more but less than 4 and 4 or more.

Multiple participants can be classified into various types. The types of plurality of participants may include at least one of client, designer, developer, and user. A client may refer to a customer who requests a task. Designers and developers may be professionals in the field to which the task belongs. Designers conceive of ideas, and developers can implement the ideas conceived by the designer. A user may be a person who uses the result of a task or a potential customer who will use it.

The server 100 may derive an evaluation score for candidate requirements by classifying the types of a plurality of participants and calculating an evaluation score for each type of the plurality of participants. Accordingly, evaluation scores can be derived separately by type of multiple participants.

Since the approach to requirements may be different depending on the type of multiple participants, evaluation scores may also be derived differently. By considering evaluation scores derived differently depending on the types of a plurality of participants, the server 100 can derive evaluation scores more precisely. Additionally, the server 100 may select requirements for each type of a plurality of participants based on evaluation scores derived for each type of the plurality of participants.

Meanwhile, the method of providing the requirements required to achieve the purpose of the task assigned by the customer by utilizing the platform providing crowdsourcing according to the present disclosure records one or more programs including instructions for executing the method. It can be recorded on a computer-readable recording medium.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and floptical disks. Magneto-optical media and hardware devices specifically configured to store and perform program instructions, such as ROM, RAM, flash memory, etc. may be included. Examples of program instructions may include machine language code, such as that created by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc.

Figure 3 is a block diagram showing elements constituting a server that provides requirements required to achieve the purpose of a task assigned by a customer using a platform that provides crowdsourcing according to some embodiments.

Referring to FIG. 3, the server 100 may include a memory 110 and a processor 120. However, it is not limited to this, and other general-purpose elements in addition to the elements shown in FIG. 3 may be further included in the server 100.

The server 100 may perform the method according to the present disclosure described with reference to FIGS. 1 and 2. Therefore, even if the description is omitted for the server 100 of FIG. 3, the description of the method according to the present disclosure described with reference to FIGS. 1 and 2 may also be applied to the server 100 of FIG. 3.

The memory 110 may store task information, candidate requirements, evaluation information, etc. as data processed and to be processed by the device 100, and may store at least one program. At least one program stored in the memory 110 may be executed by the processor 120.

The memory 110 includes dynamic random access memory (DRAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), CD-ROM, and Blu-ray. ) or other optical disk storage, hard disk drive (HDD), solid state drive (SSD), or flash memory, but is not limited thereto.

The processor 120 may be implemented as an array of multiple logic gates, and may also be implemented as a combination of a general-purpose microprocessor and a memory storing a program that can be executed on the microprocessor. Additionally, the processor 120 may be composed of a plurality of processing elements.

The processor 120 receives task information about the task from the customer's terminal 200, uploads it to the platform 400, and receives candidate requirements proposed based on the task information from each of the plurality of participant terminals 300 to Upload to the platform 400, receive evaluation information on candidate requirements from each of the plurality of participant terminals 300, derive evaluation scores for candidate requirements, and at least some of the candidate requirements based on the evaluation scores. can be selected as a requirement.

Although the embodiments have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements made by those skilled in the art using the basic concept of the present invention defined in the following claims are also included in the scope of the present invention. belongs to

Claims (2)

In a method of providing requirements required to achieve the purpose of a task assigned by a customer by utilizing a platform that provides crowdsourcing,
Receiving task information about the task from the customer's terminal and uploading it to the platform;
Receiving candidate requirements proposed based on the task information from each of a plurality of participant terminals and uploading them to the platform;
Receiving evaluation information about the candidate requirement from each of the plurality of participant terminals and deriving an evaluation score for the candidate requirement;
selecting at least some of the candidate requirements as the requirements based on the evaluation scores;
Receiving dependency information indicating dependencies between items included in the candidate requirements and uploading them to the platform, or setting the dependency information using keywords extracted from the contents of the candidate requirements; and
Receiving comments on the candidate requirements from each of the plurality of participant terminals and uploading them to the platform,
If the evaluation information is text data, the evaluation score is at least one of the number of positive texts, the number of negative texts, and the ratio of the number of positive texts to the number of negative texts,
The dependency information is referenced in the process of generating the evaluation information, and includes at least one of refinement, constraint, precondition, sufficient condition, and similarity, and ,
The comment is referenced in the process of generating the evaluation information,
The step of deriving the evaluation score is,
Calculating the evaluation score by transmitting questions according to a Likert scale to each of the plurality of participant terminals and receiving responses to the questions from each of the plurality of participant terminals, or the plurality of participants Comprising the step of classifying the type of participant corresponding to each terminal and calculating the evaluation score for each type of participant,
The method wherein the type of participant includes at least one of a client, designer, developer, and user.
In a server that utilizes a platform that provides crowdsourcing to provide the requirements required to achieve the purpose of the task assigned by the customer,
a memory that stores at least one program; and
a processor that provides requirements by executing the at least one program;
The processor,
Receiving task information about the task from the customer's terminal and uploading it to the platform,
Receiving candidate requirements proposed based on the task information from each of a plurality of participant terminals and uploading them to the platform,
Receiving evaluation information on the candidate requirements from each of the plurality of participant terminals to derive an evaluation score for the candidate requirements,
Selecting at least some of the candidate requirements as the requirements based on the evaluation scores,
Receiving dependency information indicating dependencies between items included in the candidate requirements and uploading them to the platform, or setting the dependency information using keywords extracted from the contents of the candidate requirements,
Receiving comments on the candidate requirements from each of the plurality of participant terminals and uploading them to the platform,
In order to derive the evaluation score, questions according to a Likert scale are transmitted to each of the plurality of participant terminals, responses to the questions are received from each of the plurality of participant terminals, and the evaluation score is calculated. Calculate or classify the type of participant corresponding to each of the plurality of participant terminals and calculate the evaluation score for each type of participant,
If the evaluation information is text data, the evaluation score is at least one of the number of positive texts, the number of negative texts, and the ratio of the number of positive texts to the number of negative texts,
The dependency information is referenced in the process of generating the evaluation information, and includes at least one of refinement, constraint, precondition, sufficient condition, and similarity, and ,
The comment is referenced in the process of generating the evaluation information,
The type of participant includes at least one of a client, designer, developer, and user.

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