CN114462833A - Project research and development capability diagnosis method and system - Google Patents
Project research and development capability diagnosis method and system Download PDFInfo
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- CN114462833A CN114462833A CN202210073794.9A CN202210073794A CN114462833A CN 114462833 A CN114462833 A CN 114462833A CN 202210073794 A CN202210073794 A CN 202210073794A CN 114462833 A CN114462833 A CN 114462833A
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
Abstract
The invention discloses a project research and development capability diagnosis method and a system, wherein data in a data source is captured through a thread to form a research and development data warehouse; after structured data are obtained by cleaning the research and development data in the research and development data warehouse, inputting a pre-established diagnosis model, carrying out overall diagnosis on the research and development project capability, and obtaining scoring information corresponding to a diagnosis result; generating a scoring report based on scoring information corresponding to the diagnosis result, and displaying excellent items and problem points of related products; the manager and the project personnel can clearly display the current situation of the product through the diagnosis scheme, determine the future development direction of the product and make a strategy for the project. And in the development, implementation and improvement processes, the change data returned to the warehouse is reflected in the diagnostic system again, and closed-loop management is formed. The proposal solves the problems that the past has no perception to the capacity of the development process, the high-intensity analysis is difficult to make improvement measures.
Description
Technical Field
The invention relates to a method and a system, in particular to a project research and development capability diagnosis method and a system.
Background
In the existing project, a large amount of data is generated in the development process, but most of the data can be semi-structured or even unstructured data. Therefore, many products do not integrate and utilize the data, and the data are preliminarily integrated and then defined as indexes. However, aiming at various indexes and different oriented groups, the key points cannot be grasped often, the problems cannot be directly pointed out, a large amount of time is needed for reanalysis, the expected effect cannot be achieved, and time and labor are wasted.
Disclosure of Invention
The invention aims to provide a project research and development capability diagnosis method and system, which are used for performing overall diagnosis on the capability of a research project through a project diagnosis system after structured data are obtained through cleaning, and visually indicating the problem of the project. Therefore, the problems that the capacity of the development process is not sensed in the past, the analysis is high in strength, and improvement measures are difficult to make are solved.
The technical scheme adopted by the invention is as follows:
a project development capacity diagnostic method, comprising:
data in the data source is captured through the threads to form a research and development data warehouse;
after structured data are obtained by cleaning the research and development data in the research and development data warehouse, inputting a pre-established diagnosis model, integrally diagnosing the research and development project capability through the diagnosis model, and obtaining scoring information corresponding to a diagnosis result;
generating a scoring report based on scoring information corresponding to the diagnosis result, and displaying excellent items and problem points of related products;
wherein the diagnostic model is constructed from data captured from a data source.
Preferably, the capturing the data in the data source through the thread to form the research and development data warehouse includes:
configuring a plurality of data source information in an application program, and loading data source configuration items when the application program is started;
establishing an independent thread of a connection pool for each data source, and operating a single data source by a single thread;
when a data source is newly added, corresponding configuration data source information is added, and a thread of a connection pool is started for the newly added data source;
when the system starts a log file of a data acquisition thread; starting a plurality of parallel data acquisition threads according to the log file, and acquiring target data in each data source through the data acquisition threads when receiving an instruction for synchronous data acquisition of each service terminal;
and the receiving thread receives the acquired data, summarizes the acquired data and generates a research and development data warehouse.
Preferably, the acquiring the structured data from the research and development data warehouse by cleaning includes:
classifying the data in the research data warehouse according to a predefined index for judging the research and development capability of the project, cleaning the classified data, screening out error data, and obtaining structured data.
Preferably, the constructing of the diagnostic model according to the data captured by the data source includes:
obtaining predefined indexes for judging the research and development ability of the project, and formulating project score rules and weight ratios corresponding to the indexes for automatically checking and scoring the research and development ability of each product according to each index;
acquiring a research and development data warehouse, selecting input parameters in the research and development data warehouse, and carrying out structural processing on the input parameters in the research and development data warehouse according to the indexes to construct a training sample;
and establishing a diagnosis model by taking the input parameters as input parameters for judging the research and development capability of the project and taking the score value and the weight ratio corresponding to the index as target data, and training the diagnosis model by using the training sample to obtain the diagnosis model for judging the research and development capability of the project.
Further, the predefined index for judging the development capability of the project includes: quality, efficiency and platform capability indicators;
the index comprises one or more sub-indices;
wherein, the sub-indexes of the quality index comprise: the missing rate, the demand delay delivery rate and the test rejection rate are improved;
sub-indicators of the efficiency indicator include: demand delivery and demand development cycles;
sub-indicators of the platform capability indicator include coverage by automation and use case conversion.
A project development capability diagnostic system comprising:
the database establishing module is used for capturing data in the data source through threads to form a research and development data warehouse;
a diagnosis module for cleaning the research and development data in the research and development data warehouse to obtain structured data and inputting the structured data into a database
The method comprises the steps that firstly, a diagnosis model is built, the overall diagnosis is carried out on the capability of a research project through the diagnosis model, and scoring information corresponding to a diagnosis result is obtained;
the visual display module is used for generating a scoring report based on scoring information corresponding to the diagnosis result and displaying excellent items and problem points of related products;
wherein the diagnostic model is constructed from data captured from a data source.
Preferably, the database establishing module includes:
the first configuration unit is used for configuring a plurality of data source information in the application program and loading data source configuration items when the application program is started;
the second configuration unit is used for establishing an independent thread of a connection pool for each data source, and a single thread operates a single data source;
the starting unit is used for adding corresponding configuration data source information when a data source is newly added and starting a thread of a connection pool for the newly added data source;
the system comprises a collecting unit, a data source and a data source, wherein the collecting unit is used for starting a log file of a data collecting thread when the system starts a plurality of parallel data collecting threads according to the log file, and collecting target data in each data source through the data collecting threads when receiving an instruction for carrying out synchronous data collection on each service terminal;
and the database generation unit is used for receiving the collected data received by the thread, summarizing the collected data and generating a research and development data warehouse.
Preferably, the diagnostic module comprises:
the classification unit is used for classifying the data in the research and development data warehouse according to a predefined index for judging the research and development capacity of the project;
and the cleaning unit is used for cleaning the classified data, screening out error data and obtaining structured data.
Preferably, the project development capability diagnosis system further includes: the building module is used for building a diagnosis model according to the data captured by the data source;
wherein the building block comprises:
the system comprises an acquisition unit, a calculation unit and a calculation unit, wherein the acquisition unit is used for acquiring predefined indexes for judging the research and development capacity of a project, formulating a project score rule and a weight ratio corresponding to each index for each index, and automatically checking and scoring the research and development capacity of each product;
the sample acquisition unit is used for acquiring a research and development data warehouse, selecting input parameters in the research and development data warehouse, and carrying out structural processing on the input parameters in the research and development data warehouse according to the indexes to construct a training sample;
and the model training unit is used for establishing a diagnosis model by taking the input parameters as input parameters for judging the research and development capability of the project and taking the score values and the weight ratio corresponding to the indexes as target data, and training the diagnosis model by using the training samples to obtain the diagnosis model for judging the research and development capability of the project.
Compared with the closest prior art, the technical scheme of the invention has the following advantages:
the problem that when a user faces a large amount of research and development data generated in the research and development process and project personnel and management personnel want to acquire high-value data from the research and development data for analysis, the user is often confused is solved. The project research and development ability diagnosis method and system provided by the invention are based on the existing research and development data, and utilize platform data diagnosis and visual identification ability to intelligently express, analyze and check the project research and development ability, so that project personnel can see own short boards, and managers can clearly make guidance directions according to results. Thereby having the effects of improving the effect, guaranteeing the quality and reducing the cost for the project.
According to the invention, after structured data is obtained by cleaning the data, the project capability is integrally diagnosed through the project diagnosis system, and the problem of the project is indicated visually. The problem of the past to the no perception of research and development process ability, high strength analysis, difficult formulation improvement measure is solved.
Drawings
Fig. 1 is a flowchart of a project development capability diagnosis method according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific examples, which are used for illustrating the present invention and are not intended to limit the scope of the present invention.
Referring to fig. 1, the present embodiment provides a project development capability diagnosis method starting from the aspects of acquiring data, analyzing data, presenting data and diagnosing data, the method comprises the following steps:
s1, data in the data source is captured through the thread to form a research and development data warehouse;
s2, after structured data are obtained by cleaning the research and development data in the research and development data warehouse, a pre-established diagnosis model is input, the whole diagnosis is carried out on the research and development project capability through the diagnosis model, and scoring information corresponding to the diagnosis result is obtained; wherein the diagnostic model is constructed from data captured from a data source;
s3, generating a scoring report based on the scoring information corresponding to the diagnosis result, and displaying the excellent items and the problem points of the related products.
In step S1, capturing data in the data source through a thread to form a research and development data warehouse includes:
configuring a plurality of data source information in an application program, and loading data source configuration items when the application program is started;
establishing an independent thread of a connection pool for each data source, and operating a single data source by a single thread;
when a data source is newly added, corresponding configuration data source information is added, and a thread of a connection pool is started for the newly added data source;
when the system starts a log file of a data acquisition thread; starting a plurality of parallel data acquisition threads according to the log file, and acquiring target data in each data source through the data acquisition threads when receiving an instruction for synchronous data acquisition of each service terminal;
and the receiving thread receives the acquired data, summarizes the acquired data and generates a research and development data warehouse.
In step S2, the obtaining of the structured data from the research and development data warehouse by cleaning includes:
classifying the data in the research data warehouse according to a predefined index for judging the research and development capability of the project, cleaning the classified data, screening out error data, and obtaining structured data.
The predefined index for judging the development capability of the project comprises: quality, efficiency and platform capability indicators;
the index comprises one or more sub-indices;
wherein, the sub-indexes of the quality index comprise: the missing rate, the demand delay delivery rate and the test rejection rate are improved;
sub-indicators of the efficiency indicator include: demand delivery and demand development cycles;
sub-indicators of the platform capability indicator include coverage by automation and use case conversion.
In step S2, the constructing of the diagnostic model based on the data captured by the data source includes:
obtaining predefined indexes for judging the research and development ability of the project, and formulating project score rules and weight ratios corresponding to the indexes for automatically checking and scoring the research and development ability of each product according to each index;
acquiring a research and development data warehouse, selecting input parameters in the research and development data warehouse, and carrying out structural processing on the input parameters in the research and development data warehouse according to the indexes to construct a training sample;
and establishing a diagnosis model by taking the input parameters as input parameters for judging the research and development capability of the project and taking the score value and the weight ratio corresponding to the index as target data, and training the diagnosis model by using the training sample to obtain the diagnosis model for judging the research and development capability of the project.
The above scheme can be implemented in the following application architecture, specifically including:
1. data are stored in mysql and are sourced from Jira, Tapd, Titan and the like
2. The server side is provided with python, APscheduler and logzero, the background is written by using python, the APscheduler executes specified operation in specified time rule, and the logzero is responsible for outputting log
3. Nailing and authenticating as a public service, primarily responsible for message reminding and authentication
4. The gateway component is Nginx
5. The front end comprises Node, Vue, Echart and other components and is mainly responsible for displaying diagnostic data
In the application architecture:
data acquisition: data acquisition is mainly carried out through API and MQ, and data sources comprise JIRA, TAPD, TITAN and SONARQUBE
And (3) data analysis: the analysis is mainly centralized at the back end, the python writes logic processing, and the Apscheduler performs timing processing data storage: mysql is used for data storage, and data storage is mainly carried out
Data monitoring: authority management by authentication service, alarm notification by mail and nail
And (3) data display: the front end is written with vue for responding data display and interaction
Example 1:
based on the above scheme, the following example 1 is specifically proposed:
1. the system captures data in the data source through threads every day to form a research and development data warehouse
2. The data in the data warehouse is classified according to indexes, some wrong data or useless data are cleaned, and the construction of a data model is facilitated.
3. The diagnosis model is composed of 3 large dimensions of quality, efficiency and platform capacity, for each large dimension, corresponding sub-indexes exist, for example, the quality can be composed of a missing detection rate, a delay delivery rate and a test rejection rate, the efficiency is composed of demand delivery and a demand research and development cycle, and the platform capacity is composed of an automatic coverage rate and a case conversion rate.
4. On the basis of the diagnosis model, aiming at each index, a corresponding score rule and a weight ratio are established. Such as:
demand delay delivery rate, wherein the score rule is weight and demand delivery rate, and the weight is 50 percent
5. And automatically checking and scoring the research and development ability of each product according to rules set by each project every day, and then sending a scoring report to each project personnel according to the scoring result to show the excellent items and the problem points of the products.
6. The manager and the project personnel can clearly show the excellent items and the problem points of the products by opening the diagnosis system. The user can define the strategy through the presented current situation: self-modifying and drive-down, etc.
7. During the development and improvement process, changed data can be generated, and the data can be returned to the warehouse and can be reflected in the diagnostic system again to form closed-loop management.
Example 2: based on the same technical concept, the invention also provides a project research and development ability diagnosis system, which comprises:
the database establishing module is used for capturing data in the data source through threads to form a research and development data warehouse;
a diagnosis module for cleaning the research and development data in the research and development data warehouse to obtain structured data and inputting the structured data into a database
The method comprises the steps that firstly, a diagnosis model is built, the overall diagnosis is carried out on the capability of a research project through the diagnosis model, and scoring information corresponding to a diagnosis result is obtained;
the visual display module is used for generating a scoring report based on scoring information corresponding to the diagnosis result and displaying excellent items and problem points of related products;
wherein the diagnostic model is constructed from data captured from a data source.
Wherein the database establishing module comprises:
the first configuration unit is used for configuring a plurality of data source information in the application program and loading data source configuration items when the application program is started;
the second configuration unit is used for establishing an independent thread of a connection pool for each data source, and a single thread operates a single data source;
the starting unit is used for adding corresponding configuration data source information when a data source is newly added and starting a thread of a connection pool for the newly added data source;
the system comprises a collecting unit, a data source and a data source, wherein the collecting unit is used for starting a plurality of parallel data collecting threads according to a log file of the data collecting thread when a system starts the log file of the data collecting thread, and collecting target data in each data source through the data collecting thread when receiving an instruction for carrying out synchronous data collection on each service terminal;
and the database generation unit is used for receiving the collected data received by the thread, summarizing the collected data and generating a research and development data warehouse.
The diagnostic module includes:
the classification unit is used for classifying the data in the research and development data warehouse according to a predefined index for judging the research and development capacity of the project;
and the cleaning unit is used for cleaning the classified data, screening out error data and obtaining structured data.
In addition, the project development capability diagnostic system further includes: the construction module is used for constructing a diagnosis model according to the data captured by the data source;
wherein the building block comprises:
the system comprises an acquisition unit, a calculation unit and a calculation unit, wherein the acquisition unit is used for acquiring predefined indexes for judging the research and development capacity of a project, formulating a project score rule and a weight ratio corresponding to each index for each index, and automatically checking and scoring the research and development capacity of each product;
the system comprises a sample acquisition unit, a training unit and a data acquisition unit, wherein the sample acquisition unit is used for acquiring a research and development data warehouse, selecting input parameters in the research and development data warehouse, and carrying out structural processing on the input parameters in the research and development data warehouse according to indexes to construct a training sample;
and the model training unit is used for establishing a diagnosis model by taking the input parameters as input parameters for judging the research and development capability of the project and taking the score values and the weight ratio corresponding to the indexes as target data, and training the diagnosis model by using the training samples to obtain the diagnosis model for judging the research and development capability of the project.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: although the present application has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: upon reading this application, those skilled in the art will be able to make various changes, modifications and equivalents to the embodiments of the application which fall within the scope of the claims appended hereto.
Claims (9)
1. A method for diagnosing project development ability, comprising
Data in the data source is captured through the threads to form a research and development data warehouse;
after structured data are obtained by cleaning the research and development data in the research and development data warehouse, inputting a pre-established diagnosis model, integrally diagnosing the research and development project capability through the diagnosis model, and obtaining scoring information corresponding to a diagnosis result;
generating a scoring report based on scoring information corresponding to the diagnosis result, and displaying excellent items and problem points of related products;
wherein the diagnostic model is constructed from data captured from a data source.
2. The method of claim 1, wherein the crawling data in the data source by the thread to form a research and development data warehouse comprises:
configuring a plurality of data source information in an application program, and loading data source configuration items when the application program is started;
establishing an independent thread of a connection pool for each data source, and operating a single data source by a single thread;
when a data source is newly added, corresponding configuration data source information is added, and a thread of a connection pool is started for the newly added data source;
when the system starts a log file of a data acquisition thread; starting a plurality of parallel data acquisition threads according to the log file, and acquiring target data in each data source through the data acquisition threads when receiving an instruction for synchronous data acquisition of each service terminal;
and the receiving thread receives the acquired data, summarizes the acquired data and generates a research and development data warehouse.
3. The method of claim 1, wherein obtaining structured data from the data of the development data warehouse by cleaning comprises:
classifying the data in the research data warehouse according to a predefined index for judging the research and development capability of the project, cleaning the classified data, screening out error data, and obtaining structured data.
4. The method of claim 1, wherein constructing the diagnostic model from data captured by a data source comprises:
obtaining predefined indexes for judging the research and development ability of the project, and formulating project score rules and weight ratios corresponding to the indexes for automatically checking and scoring the research and development ability of each product according to each index;
acquiring a research and development data warehouse, selecting input parameters in the research and development data warehouse, and carrying out structural processing on the input parameters in the research and development data warehouse according to the indexes to construct a training sample;
and establishing a diagnosis model by taking the input parameters as input parameters for judging the research and development capability of the project and taking the score value and the weight ratio corresponding to the index as target data, and training the diagnosis model by using the training sample to obtain the diagnosis model for judging the research and development capability of the project.
5. The method of claim 4, wherein the predefined criteria for determining project development capabilities comprises: quality, efficiency and platform capability indicators;
the index comprises one or more sub-indices;
wherein, the sub-indexes of the quality index comprise: the missing rate, the demand delay delivery rate and the test rejection rate are improved;
sub-indicators of the efficiency indicator include: demand delivery and demand development cycles;
sub-indicators of the platform capability indicator include coverage by automation and use case conversion.
6. A project development capability diagnostic system, comprising:
the database establishing module is used for capturing data in the data source through threads to form a research and development data warehouse;
the diagnosis module is used for inputting a pre-established diagnosis model after structured data is obtained by cleaning the research and development data in the research and development data warehouse, integrally diagnosing the capability of the research and development project through the diagnosis model and obtaining scoring information corresponding to a diagnosis result;
the visual display module is used for generating a scoring report based on scoring information corresponding to the diagnosis result and displaying excellent items and problem points of related products;
wherein the diagnostic model is constructed from data captured from a data source.
7. The system of claim 6, wherein the database building module comprises:
the first configuration unit is used for configuring a plurality of data source information in the application program and loading data source configuration items when the application program is started;
the second configuration unit is used for establishing an independent thread of a connection pool for each data source, and a single thread operates a single data source;
the starting unit is used for adding corresponding configuration data source information when a data source is newly added and starting a thread of a connection pool for the newly added data source;
the system comprises a collecting unit, a data source and a data source, wherein the collecting unit is used for starting a log file of a data collecting thread when the system starts a plurality of parallel data collecting threads according to the log file, and collecting target data in each data source through the data collecting threads when receiving an instruction for carrying out synchronous data collection on each service terminal;
and the database generation unit is used for receiving the collected data received by the thread, summarizing the collected data and generating a research and development data warehouse.
8. The system of claim 6, wherein the diagnostic module comprises:
the classification unit is used for classifying the data in the research and development data warehouse according to a predefined index for judging the research and development capacity of the project;
and the cleaning unit is used for cleaning the classified data, screening out error data and obtaining structured data.
9. The system of claim 6, wherein the project development capability diagnostic system further comprises: the building module is used for building a diagnosis model according to the data captured by the data source;
wherein the building block comprises:
the system comprises an acquisition unit, a calculation unit and a calculation unit, wherein the acquisition unit is used for acquiring predefined indexes for judging the research and development capacity of a project, formulating a project score rule and a weight ratio corresponding to each index for each index, and automatically checking and scoring the research and development capacity of each product;
the sample acquisition unit is used for acquiring a research and development data warehouse, selecting input parameters in the research and development data warehouse, and carrying out structural processing on the input parameters in the research and development data warehouse according to the indexes to construct a training sample;
and the model training unit is used for establishing a diagnosis model by taking the input parameters as input parameters for judging the research and development capability of the project and taking the score values and the weight ratio corresponding to the indexes as target data, and training the diagnosis model by using the training samples to obtain the diagnosis model for judging the research and development capability of the project.
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