CN116245108A - Verification matching guide method, verification matching guide, device, and storage medium - Google Patents
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Abstract
The invention discloses a verification matching guiding method, a verification matching guiding device, equipment and a storage medium, and relates to the technical field of equipment product tests, wherein the method comprises the following steps: acquiring a test requirement document of an equipment product; the test requirement document is a word format test requirement document and/or an excel format test requirement document; carrying out structural processing on the test requirement document by adopting a natural language processing technology and/or an ETL technology, and determining a plurality of test requirement items corresponding to the equipment product; matching the test requirement items with each verifiability respectively, and determining the test requirement items associated with one or more verifiabilities as test verification items; the verifiability is a characteristic that needs to be met when the test requirements of the equipment product are met. The invention can rapidly and accurately determine the test verification item of the equipment product.
Description
Technical Field
The invention relates to the technical field of equipment product tests, in particular to a verification matching guiding method, a verification matching guiding device, equipment and a storage medium.
Background
According to actual combat assessment requirements of equipment products, the experimental identification workflow is adjusted. And a working link of performance test, state identification, combat test, train installation type and in-service assessment is constructed in the whole life cycle of equipment products.
Taking the test verification of the aircraft development process as an example, the MBSE (Model-BasedSystem Engineering) idea is required to be taken as a starting point for planning test verification items, and particularly, based on a test requirement document, the test verification items meeting six requirements (the compliance, the accuracy, the rationality, the accuracy, the matching performance and the control performance) are rapidly obtained; the verification six is a test verification standard in the development process of the aircraft, and the planning design of the verification item must strictly follow the requirement of the verification six standard. How to extract key information from test requirement documents of hundreds of pages generated in the development process of an airplane and quickly convert the key information into verification items meeting the six-property verification requirement becomes a new research subject.
Disclosure of Invention
The invention aims to provide a verification matching guiding method, a verification matching guide, equipment and a storage medium, which can quickly and accurately determine test verification items of equipment products.
In order to achieve the above object, the present invention provides the following solutions:
in a first aspect, the present invention provides a verification matching guidance method, including:
acquiring a test requirement document of an equipment product; the test requirement document is a word format test requirement document and/or an excel format test requirement document;
carrying out structural processing on the test requirement document by adopting a natural language processing technology and/or an ETL technology, and determining a plurality of test requirement items corresponding to the equipment product;
matching the test requirement items with each verifiability respectively, and determining the test requirement items associated with one or more verifiabilities as test verification items; the verifiability is a characteristic that needs to be met when the test requirements of the equipment product are met.
Optionally, the structuring processing is performed on the test requirement document by using a natural language processing technology and/or an ETL technology, and the determining a plurality of test requirement items corresponding to the equipment product specifically includes:
carrying out structural processing on the excel format test requirement document by adopting an ETL technology, and determining a plurality of test requirement items corresponding to the equipment products;
and/or the number of the groups of groups,
and carrying out structural processing on the word format test requirement document by adopting a natural language processing technology, and determining a plurality of test requirement items corresponding to the equipment products.
Optionally, the structuring processing is performed on the word format test requirement document by adopting a natural language processing technology, and the determining a plurality of test requirement items corresponding to the equipment product specifically includes:
preprocessing a word format test requirement document to obtain txt format text data;
semantically processing the txt format text data to obtain a professional term data set;
performing automatic label processing on the technical terms in the technical term data set to obtain a plurality of high-frequency words;
matching the high-frequency vocabulary with tags in a tag library to obtain candidate tag results corresponding to text data in txt format;
calculating the similarity between the txt format text data and each candidate tag in the candidate tag results, and determining the candidate tag with the similarity larger than a set value as a final tag result; the final label result is the test requirement item.
Optionally, the semantically obtaining the text data in txt format to obtain a professional term data set specifically includes:
cutting and redundant filtering are carried out on the txt format text data to obtain a document paragraph set;
cutting sentences and redundant filtering each paragraph in the document paragraph set to obtain a document sentence set;
performing word segmentation and redundant filtration on each sentence in the document sentence set to obtain a document word set;
and eliminating invalid words in the document vocabulary set to obtain a professional term data set.
Optionally, the automatic labeling processing is performed on the terms in the term data set to obtain a plurality of high-frequency vocabularies, which specifically includes:
and processing the special terms in the special term dataset by adopting a TF-IDF algorithm and/or a keyword extraction algorithm based on the txt format text data to obtain a plurality of high-frequency words.
Optionally, the test requirement item is respectively matched with each verifiability, which specifically comprises the following steps:
and adopting a machine learning algorithm to match the test requirement items with each verifiability respectively.
Optionally, the test requirement item is respectively matched with each verifiability, which specifically comprises the following steps:
and matching the test requirement items with each verifiability respectively by adopting a similarity calculation mode.
In a second aspect, the present invention provides a verification matching director comprising:
the test requirement document acquisition module is used for acquiring a test requirement document of the equipment product; the test requirement document is a word format test requirement document and/or an excel format test requirement document;
the test requirement item determining module is used for carrying out structural processing on the test requirement document by adopting a natural language processing technology and/or an ETL technology, and determining a plurality of test requirement items corresponding to the equipment product;
the test verification item determining module is used for respectively matching the test requirement items with each verifiability and determining the test requirement items associated with one or more verifiabilities as test verification items; the verifiability is a characteristic that needs to be met when the test requirements of the equipment product are met.
In a third aspect, the present invention provides an electronic device comprising a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to perform the verification matching guidance method according to the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the verification matching targeting method of the first aspect.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a verification matching guiding method, a verification matching guiding device, equipment and a storage medium.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a verification matching guidance method according to an embodiment of the present invention;
fig. 2 is a diagram of an NLP technology architecture provided in an embodiment of the present invention;
FIG. 3 is a schematic diagram of a verification matching guidance method according to an embodiment of the present invention;
fig. 4 is a block diagram of a verification matching director according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Term interpretation:
ETL technology: exct-Transform-Load technology.
Natural language processing technology: the natural language processing technology is called NLP technology for short.
TF-IDF: termfrequency-oversecultfrequency is a common weighting technique used for information retrieval and data mining.
Example 1
At present, the requirement understanding of test requirement documents, the planning design of verification items, the checking of verification six-feature compliance requirements and the like are all required to be carried out manually, so that a great deal of manpower and time are required to be consumed in the determination process of the test verification items of various equipment products, and when the test requirement documents in word format and the test requirement documents in excel format are utilized for carrying out the establishment of the verification plans, the efficiency is low and the error rate is high.
In view of this, the embodiment of the invention provides a verification matching guide method. As shown in fig. 1, the method includes:
step 100: acquiring a test requirement document of an equipment product; the test requirement document is a word format test requirement document and/or an excel format test requirement document.
Step 200: and carrying out structural processing on the test requirement document by adopting a natural language processing technology and/or an ETL technology, and determining a plurality of test requirement items corresponding to the equipment product.
Because the excel format test requirement document has the structural attribute, the structural processing of the excel format test requirement document by adopting the ETL technology can be directly carried out without processing, the requirement items in the excel format test requirement document are extracted, and then a plurality of test requirement items corresponding to the equipment products are determined.
Because the word format test requirement document does not have the structural attribute, the word format test requirement document needs to be processed, namely, the word format test requirement document is structured by adopting a Natural Language Processing (NLP) technology, a requirement module is constructed by extracting and structuring text information, the requirement items in the word format test requirement document are extracted, and then a plurality of test requirement items corresponding to the equipment products are determined. The specific process is as shown in fig. 2:
(1) Preprocessing the word format test requirement document to obtain txt format text data.
Preprocessing a word format test requirement document to meet the input requirement of text semantezation and text mining. Mainly realizes the following functions:
1) The word format trial requirements document is converted into standard txt format text data required for text mining.
(2) And carrying out semantication on the text data in the txt format, and determining a professional term data set.
Semanteme is to build a semantic library for possibly related professional terms and invalid words, and provide professional auxiliary configuration for automatic label processing so as to improve the professional and accuracy of labels. The professional auxiliary configuration mainly comprises professional terms, associated words and weight settings, preset standard labels and coding configuration. Mainly realizes the following functions:
1) And cutting and redundant filtering are carried out on the text data in the txt format, so as to obtain a document paragraph set.
2) And cutting sentences and redundant filtering each paragraph in the document paragraph set to obtain a document sentence set.
3) And performing word segmentation and redundant filtration on each sentence in the document sentence set to obtain a document word set.
4) And eliminating invalid words in the document vocabulary set to obtain a special term set corresponding to the text data in the txt format.
(3) And carrying out automatic label processing on the technical terms in the technical term data set to obtain a plurality of high-frequency words.
The automatic label is an automatic and efficient batch intelligent service, and based on a natural language processing technology, a plurality of feature extraction algorithms are adopted to calculate core labels of content of a required document, a natural language processing model is constructed, and standard labels and codes are set for the required document according to preset standard labels and codes. Based on natural language processing technology, adopting various feature extraction algorithms to automatically label the professional term set corresponding to the txt format text data, and obtaining a candidate label result.
The method specifically comprises the following steps:
1) Based on the txt format text data, a TF-IDF algorithm and/or a keyword extraction algorithm (e.g. a textRank algorithm) are adopted to process the professional terms in the professional term data set, so that a plurality of high-frequency words are obtained.
(4) And matching the high-frequency vocabulary with the tags in the tag library to obtain candidate tag results corresponding to the text data in the txt format.
After the txt format text data is labeled, the txt format text data can be quickly searched according to the codes or the labels, then the correctness of the label codes can be confirmed according to the content of the txt format text data, if the labels are incorrect, standard labels and codes of the txt format text data can be manually corrected, so that the contents such as keywords and high-frequency words can be quickly extracted, and the extraction of document structured information can be realized through the technologies such as similarity matching and label quick searching.
Step 300: matching the test requirement items with each verifiability respectively, and determining the test requirement items associated with one or more verifiabilities as test verification items; the verifiability is a characteristic that needs to be met when the test requirements of the equipment product are met.
Taking test verification of the aircraft development process as an example, six-way matching needs to be verified on test requirement items. And (3) extracting a requirement item from the test requirement document in a Word or Excel format, and constructing a verification requirement module. Because the requirement items and the verification hexagons are in a many-to-many relationship, under the condition of more requirement items, the artificial judgment workload is larger, so that an automatic matching algorithm based on a machine learning algorithm or similarity analysis is required to be constructed, similarity calculation is carried out on the requirement items of unknown matching relationships and six keywords which are defined in advance through the automatic matching algorithm, similarity weights and sequences from high to low are given, then the final confirmation is carried out manually, the matching relationship is established, and further one or more verifications corresponding to the requirement items are determined.
And forming a verification module based on the determined verification six-degree automatic association verification item. Specific test verification tasks can be generated through the verification items, and the construction of the whole verification matching director is completed.
As shown in fig. 3, the embodiment of the invention relates to the technical field of rapid matching of equipment products in the requirement of test verification, and provides a construction method of a test verification requirement verification matching guide. Firstly, test requirement documents (such as word format test requirement documents, excel format test requirement documents, pdf format test requirement documents and the like) are processed, requirement structuring is carried out based on NLP (natural language processing) and ETL (Extract-Transform-Load) technologies, the requirement structuring is converted into a requirement module, the requirement module and verification six are complex many-to-many relations, therefore, an automatic matching model needs to be built to achieve automatic matching of the requirement module and verification six, and then a verification module is built according to built-in association between the six and verification items.
Example two
In order to perform a corresponding method of the above-described embodiments to achieve the corresponding functions and technical effects, a verification matching director is provided below.
As shown in fig. 4, the guide includes:
the test requirement document acquisition module 1 is used for acquiring a test requirement document of the equipment product; the test requirement document is a word format test requirement document and/or an excel format test requirement document;
the test requirement item determining module 2 is used for carrying out structural processing on the test requirement document by adopting a natural language processing technology and/or an ETL technology to determine a plurality of test requirement items corresponding to the equipment products;
a test verification item determining module 3, configured to match the test requirement item with each verifiability, and determine a test requirement item associated with one or more verifiabilities as a test verification item; the verifiability is a characteristic that needs to be met when the test requirements of the equipment product are met.
The verification matching guide can help to quickly understand the verification requirement document of the equipment product test, quickly match to a specific test verification task, realize the association from top-level design to specific verification details, greatly save the workload of verification personnel, improve the test efficiency and reduce the error rate and the test cost.
Example III
An embodiment of the present invention provides an electronic device including a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to execute the verification matching guidance method of the first embodiment.
Alternatively, the electronic device may be a server.
In addition, the embodiment of the present invention further provides a computer readable storage medium storing a computer program, where the computer program when executed by a processor implements the verification matching guidance method of the first embodiment.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (10)
1. A verification matching guide method, comprising:
acquiring a test requirement document of an equipment product; the test requirement document is a word format test requirement document and/or an excel format test requirement document;
carrying out structural processing on the test requirement document by adopting a natural language processing technology and/or an ETL technology, and determining a plurality of test requirement items corresponding to the equipment product;
matching the test requirement items with each verifiability respectively, and determining the test requirement items associated with one or more verifiabilities as test verification items; the verifiability is a characteristic that needs to be met when the test requirements of the equipment product are met.
2. The method for guiding verification matching according to claim 1, wherein the structuring process is performed on the test requirement document by using a natural language processing technology and/or an ETL technology, and the determining a plurality of test requirement items corresponding to the equipment product specifically includes:
carrying out structural processing on the excel format test requirement document by adopting an ETL technology, and determining a plurality of test requirement items corresponding to the equipment products;
and/or the number of the groups of groups,
and carrying out structural processing on the word format test requirement document by adopting a natural language processing technology, and determining a plurality of test requirement items corresponding to the equipment products.
3. The method for guiding verification matching according to claim 2, wherein the structuring process is performed on the word format test requirement document by using a natural language processing technology, and the determining a plurality of test requirement items corresponding to the equipment product specifically includes:
preprocessing a word format test requirement document to obtain txt format text data;
semantically processing the txt format text data to obtain a professional term data set;
performing automatic label processing on the technical terms in the technical term data set to obtain a plurality of high-frequency words;
matching the high-frequency vocabulary with tags in a tag library to obtain candidate tag results corresponding to text data in txt format;
calculating the similarity between the txt format text data and each candidate tag in the candidate tag results, and determining the candidate tag with the similarity larger than a set value as a final tag result; the final label result is the test requirement item.
4. The method for guiding verification matching according to claim 3, wherein said semantically obtaining the term dataset comprises:
cutting and redundant filtering are carried out on the txt format text data to obtain a document paragraph set;
cutting sentences and redundant filtering each paragraph in the document paragraph set to obtain a document sentence set;
performing word segmentation and redundant filtration on each sentence in the document sentence set to obtain a document word set;
and eliminating invalid words in the document vocabulary set to obtain a professional term data set.
5. The method for guiding verification matching according to claim 3, wherein the automatic labeling process is performed on the terms in the term data set to obtain a plurality of high-frequency vocabularies, and the method specifically comprises:
and processing the special terms in the special term dataset by adopting a TF-IDF algorithm and/or a keyword extraction algorithm based on the txt format text data to obtain a plurality of high-frequency words.
6. The verification matching guidance method of claim 1, wherein the matching of the test requirement item with each verifiability includes:
and adopting a machine learning algorithm to match the test requirement items with each verifiability respectively.
7. The verification matching guidance method of claim 1, wherein the matching of the test requirement item with each verifiability includes:
and matching the test requirement items with each verifiability respectively by adopting a similarity calculation mode.
8. A verification matching director comprising:
the test requirement document acquisition module is used for acquiring a test requirement document of the equipment product; the test requirement document is a word format test requirement document and/or an excel format test requirement document;
the test requirement item determining module is used for carrying out structural processing on the test requirement document by adopting a natural language processing technology and/or an ETL technology, and determining a plurality of test requirement items corresponding to the equipment product;
the test verification item determining module is used for respectively matching the test requirement items with each verifiability and determining the test requirement items associated with one or more verifiabilities as test verification items; the verifiability is a characteristic that needs to be met when the test requirements of the equipment product are met.
9. An electronic device comprising a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to perform the verification matching guidance method of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by a processor, implements the verification matching guidance method of any one of claims 1 to 7.
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