CN115292202A - Product test analysis method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention discloses a product test analysis method and device, electronic equipment and a storage medium. The method comprises the following steps: responding to the import operation of at least one product test file, and acquiring initial product test data; determining data grouping of the initial product test data according to a preset grouping rule; the preset grouping rule comprises at least one of a test item grouping rule and a non-test item grouping rule; and respectively acquiring group data analysis results of each data group, and outputting the group data analysis results to a preset analysis result display position according to a preset graph output mode and a preset parameter output mode. By operating the technical scheme provided by the embodiment of the invention, the problem that the processing efficiency of product test analysis is reduced due to a large number of test data if the product test data is directly analyzed can be solved, and the beneficial effect of improving the product test analysis efficiency is achieved.
Description
Technical Field
The present invention relates to product testing technologies, and in particular, to a product testing analysis method and apparatus, an electronic device, and a storage medium.
Background
After the product is produced, it is usually necessary to perform a plurality of tests on the product to verify the quality of the product and analyze the test data. In the prior art, product test data are usually directly analyzed, and the processing efficiency of product test analysis is reduced due to the fact that the number of the test data is large.
Disclosure of Invention
The invention provides a product test analysis method, a product test analysis device, electronic equipment and a storage medium, and aims to improve the efficiency of product test analysis.
According to an aspect of the present invention, there is provided a product test analysis method, the method including:
responding to the import operation of at least one product test file, and acquiring initial product test data;
determining data grouping of the initial product test data according to a preset grouping rule; the preset grouping rule comprises at least one of a test item grouping rule and a non-test item grouping rule;
and respectively obtaining group data analysis results of each data group, and outputting each group data analysis result to a preset analysis result display position according to a preset graph output mode and a preset parameter output mode.
According to another aspect of the present invention, there is provided a product test analysis apparatus, the apparatus comprising:
the initial data acquisition module is used for responding to the import operation of at least one product test file and acquiring initial product test data;
the data grouping determination module is used for determining the data grouping of the initial product test data according to a preset grouping rule; the preset grouping rule comprises at least one of a test item grouping rule and a non-test item grouping rule;
and the analysis result output module is used for respectively obtaining the group data analysis results of each data group and outputting each group data analysis result to a preset analysis result display position according to a preset graph output mode and a preset parameter output mode.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the product test analysis method of any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the product test analysis method according to any one of the embodiments of the present invention when executed.
According to the technical scheme of the embodiment of the invention, the initial product test data is subjected to grouping processing in advance according to at least one of the test item grouping rule and the non-test item grouping rule, and then the grouped data is analyzed, so that the pertinence of data analysis is improved, the problem that the processing efficiency of product test analysis is reduced due to a large number of test data if the product test data is directly analyzed is solved, and the product test analysis efficiency is improved. And outputting each group of data analysis results to a preset analysis result display position according to a preset graph output mode and a preset parameter output mode, so that test analysis results can be displayed accurately in batches. The problem that after the analysis results are obtained, all the analysis results are sequentially input to the designated position in a manual mode to display the analysis results is solved, and the efficiency of displaying the test results of the product is reduced; and because manual input easily produces the mistake, reduced the problem of the accuracy of product test result show, gained the beneficial effect that improves efficiency and the accuracy of product test result show, reduction human cost.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
Fig. 1 is a flowchart of a product test analysis method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a product test analysis method according to a second embodiment of the present invention;
FIG. 3 is a diagram illustrating a result of a group diagram analysis according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of a product testing and analyzing apparatus according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for implementing an embodiment of the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," "target," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a product test analysis method according to an embodiment of the present invention, where the method is applicable to a case where product test data is analyzed and an analysis result is displayed, and the method can be executed by a product test analysis apparatus according to an embodiment of the present invention, and the apparatus can be implemented in a software and/or hardware manner. Referring to fig. 1, the product test analysis method provided in this embodiment includes:
step 110, in response to the import operation of at least one product test file, obtaining initial product test data.
The product test files are files obtained after a product is tested by a preset product test method, each product test file may include test data of one or more products, and may be a csv format file, and the product may be a mobile phone, and the like, which is not limited in this embodiment.
The importing operation of at least one product test file can be executed after manually selecting a file to be imported from all product test files and clicking an importing key in a preset operation interface before analyzing the product test files; the method may also be performed automatically after a preset type of product test file is generated, and the like, which is not limited in this embodiment.
The initial product test data is data directly obtained after the product test file is imported.
Optionally, when a single product is tested for multiple times in the same test process, the latest test data can be retained through the Dictionary computer data structure, the increase of the calculation amount of test analysis caused by data repetition is avoided, and the test analysis efficiency is improved.
Step 120, determining data grouping of the initial product test data according to a preset grouping rule; wherein the preset grouping rule comprises at least one of a test item grouping rule and a non-test item grouping rule.
The preset grouping rule is a predetermined grouping rule, and can be selected in a preset operation interface to be determined.
The test item grouping rule is a rule related to a test item, and the test item is a test item related to a product function, such as a test on a product working frequency band; correspondingly, if the initial product test data are grouped according to the test item grouping rule, the initial product test data can be classified according to the working frequency band of the product being 2.4G or 5G. For example, the initial product test data is divided into a group A1 and a group A2.
The test grouping rule may include one or more rules, for example, when the test grouping rule includes multiple rules, the initial product test data may be correspondingly grouped according to different rules, for example, the initial product test data is divided into a group A1 and a group A2 according to the first test grouping rule, and the initial product test data is divided into a group B1 and a group B2 according to the second test grouping rule.
Non-item grouping rules are rules that are not associated with an item, such as a production line, a production line station, an operator, a sales floor, incoming material, and the like.
The data grouping of the initial product test data is determined according to a preset grouping rule, the data grouping may be determined jointly according to a test item grouping rule and a non-test item grouping rule, or the data grouping may be determined according to a single test item grouping rule, which is not limited in this embodiment.
If the data grouping is determined according to the test item grouping rule and the non-test item grouping rule, the initial product test data can be firstly divided into a group A1 and a group A2 according to the test item grouping rule, and then the group A1 and the group A2 are further grouped according to the non-test item grouping rule. Illustratively, if the non-item grouping rule is to divide the item into a11 and a12 according to the production lines, where a11 is data in A1 that all belong to a first production line, a12 is data in A1 that all belong to a second production line, and the like.
Optionally, each data packet is encapsulated and loaded into the memory, so that the encapsulated data packet in the memory can be conveniently and directly analyzed subsequently, and the analysis efficiency is improved.
In this embodiment, optionally, determining the data grouping of the initial product test data according to a preset grouping rule includes:
determining target product test data from the initial product test data according to a preset screening rule;
and determining the data grouping of the target product test data according to a preset grouping rule.
The target product test data is data obtained after screening by a preset screening rule. The preset screening rule can be used for removing data without upper and lower limits in the initial product test data, and the situation that the analysis results of data such as CPK and the like cannot be obtained subsequently if the data without the upper and lower limits exist is avoided. The target product test data are grouped according to the preset grouping rule to obtain data groups, and then the data groups are analyzed, so that the data analysis efficiency is prevented from being reduced due to the fact that data which cannot be analyzed exist, and the effectiveness of data analysis is improved.
And step 130, respectively obtaining group data analysis results of each data group, and outputting each group data analysis result to a preset analysis result display position according to a preset graph output mode and a preset parameter output mode.
And analyzing each data packet respectively through a preset analysis method to obtain a group data analysis result of each data packet, wherein the group data analysis result can comprise a Process Capability Index (CPK) of different products in the data packet about the same measured item, and the larger the CPK value is, the smaller the dispersion of the product quality characteristic value is, and the higher the Process Capability is.
And outputting each group of data analysis results to a preset analysis result display position according to a preset graph output mode, wherein the preset graph output mode may include a line graph, a column/normal distribution graph and the like, which is not limited in this embodiment, and the preset analysis result display position may be a preset EXCEL file and the like. For example, the first group data analysis result of the data packet a11 is output to the EXCEL in the form of a line graph, and the second group data analysis result of the data packet a12 is output to the EXCEL in the form of a column/normal distribution graph, and the like, and may be output to different SHEETs of the EXCEL, and may also be output to different positions of a single SHEET in the EXCEL, which is not limited in this embodiment.
And outputting each group of data analysis results to a preset analysis result display position according to a preset parameter output mode, wherein the preset parameter output mode can be output according to a preset table form. The preset analysis result display position may be a preset EXCEL file or the like.
The content that can be output according to predetermineeing figure output mode and predetermineeing parameter output mode with single group data analysis result is adjacent the show in predetermineeing analysis result show position to the user compares and looks over, improves the validity of organizing data analysis result show.
In this embodiment, optionally, the obtaining the group data analysis result of each data packet includes:
sorting the data in the data packet according to a preset sorting rule;
and performing data analysis on the data packets subjected to sequencing processing to obtain a group data analysis result.
And sorting the data in the data packets according to a preset sorting rule, wherein the preset sorting rule is used for sorting the data in the data packets, and an exemplary preset sorting rule is sorting according to a production line sequence, so that the data sequence in the data packets subjected to sorting can be product test data related to a production line I, product test data related to a production line II, … … and product test data related to a production line N.
The data analysis is carried out on the data packets after the sequencing processing, the query can be directly processed and the data to be analyzed can be obtained from the data packets through technologies such as LINQ and the like, the data does not need to be polled, the complexity of data obtaining is reduced, the complexity of overall data obtaining can be reduced from O (M x N) to O (M x log M + M1), wherein M is the data quantity of the data in all the data packets, N is the group number of the data packets, the data obtaining efficiency is improved, and therefore the efficiency of obtaining the group data analysis result is improved.
Optionally, after outputting each group of data analysis results to a preset analysis result display position according to a preset graph output mode and a preset parameter output mode, the method further includes:
acquiring a graphic display quantity threshold value and a parameter display quantity threshold value which are related to a preset analysis result display position;
judging whether the number of test items in the group graph analysis result of the group data analysis result is greater than a graph display number threshold value or not; if so, displaying the test item analysis results of which the number is the threshold value of the number displayed by the graph;
judging whether the number of the test items in the group parameter analysis result of the group data analysis result is greater than a parameter display number threshold value; and if so, displaying the test item analysis result of which the quantity is the parameter display quantity threshold value.
The graph display quantity threshold is a quantity threshold of the data display quantity in the group graph analysis result, and the data display quantity can be the test item display quantity. The graphic display quantity threshold is related to the preset analysis result display position, and the graphic display quantity thresholds of different preset analysis result display positions can be different.
The group graph analysis result is a graph output by the group data analysis result according to a preset graph output mode, and whether the number of the test items in the group graph analysis result is greater than a graph display number threshold is judged.
If yes, the test item analysis results with the quantity being the threshold value of the quantity of the graph display are displayed, that is, if N is larger than M, the test item analysis results of M test items are actually displayed in the group of the graph analysis results, the test item analysis results obtained by displaying the test items in advance in sequence are 1~M, and the rest test item analysis results can be hidden.
The parameter display quantity threshold is a quantity threshold of data display quantity in the group parameter analysis result, and the data display quantity can be the test item display quantity. The parameter display quantity threshold is related to the preset analysis result display position, and the parameter display quantity thresholds of different preset analysis result display positions can be different.
The group parameter analysis result is a result of outputting the group data analysis result according to a preset parameter output mode, for example, a table filled with parameters. And judging whether the number of the test items in the group parameter analysis result is greater than a parameter display number threshold, illustratively, the group parameter analysis result comprises the analysis results of N test items, namely the number of the test items is N, the parameter display number threshold is M, namely, the analysis results of M test items are displayed at most, and then judging whether N is greater than M.
If yes, the test item analysis results with the quantity being the parameter display quantity threshold value are displayed, that is, if N is greater than M, the test item analysis results of M test items are actually displayed in the group parameter analysis results, the test item analysis results obtained by displaying the test items in advance in sequence are 1~M, and the rest test item analysis results can be hidden.
Optionally, the graphic display quantity threshold and the parameter display quantity threshold may be the same, so as to ensure that the group graphic analysis result and the group parameter analysis result display the same quantity of data, facilitate the user to correspondingly check, and improve the effectiveness of displaying the group data analysis result.
Judging whether the number of test items in the group graph analysis result of the group data analysis result is greater than a graph display number threshold value; if so, displaying the test item analysis results of which the number is the threshold value of the number displayed by the graph; judging whether the number of the test items in the group parameter analysis result of the group data analysis result is greater than a parameter display number threshold value; and if so, displaying the test item analysis result of which the quantity is the parameter display quantity threshold value. The method has the advantages that excessive test items in the group graphic analysis result and the group parameter analysis result are avoided, if all test items are displayed, the group data analysis result is displayed excessively long, the test item analysis result with the display quantity smaller than or equal to the threshold value is displayed, the display format is uniform while the proper data quantity is displayed, the attractiveness of group data analysis result display is improved, a user can check the data conveniently, and user experience is improved.
According to the technical scheme provided by the embodiment, the initial product test data is subjected to grouping processing in advance according to at least one of the test item grouping rule and the non-test item grouping rule, and the grouped data is analyzed, so that the pertinence of data analysis is improved, the problem that the processing efficiency of product test analysis is reduced due to a large number of test data if the product test data is directly analyzed is solved, and the product test analysis efficiency is improved.
And outputting each group of data analysis results to a preset analysis result display position according to a preset graph output mode and a preset parameter output mode, so that test analysis results can be displayed accurately in batches. The problem that after the analysis results are obtained, all the analysis results are sequentially input to the designated position in a manual mode to display the analysis results is solved, and the efficiency of displaying the test results of the product is reduced; and because manual input easily produces the mistake, reduced the problem of the accuracy of product test result show, gained the efficiency and the accuracy that improve product test result show, reduced the human cost's beneficial effect.
Example two
Fig. 2 is a flowchart of a product test analysis method according to a second embodiment of the present invention, and the present technical solution is supplementary explained for a process of outputting each set of data analysis results to a preset analysis result display position according to a preset graph output manner. Compared with the scheme, the scheme is specifically optimized in that each group of data analysis results are output to the preset analysis result display position according to the preset graph output mode, and the scheme comprises the following steps:
generating group graph analysis results according to the preset test item sequence and the preset graph display mode by using each group of data analysis results;
and outputting the group graph analysis result to a preset analysis result display position. The flow chart of the specific product test analysis method is shown in fig. 2:
step 210, in response to the import operation of at least one product test file, obtaining initial product test data.
Step 220, determining data grouping of the initial product test data according to a preset grouping rule; wherein the preset grouping rule comprises at least one of a test item grouping rule and a non-test item grouping rule.
And step 230, respectively obtaining group data analysis results of each data group, and generating group graph analysis results according to a preset test item sequence and a preset graph display mode.
When the number of the test items is multiple, the preset test item sequence may be a sequence between different test items, for example, the data packet includes test data of 10 test items of 20 products, and then 10 test items of each product are displayed in sequence. The preset graphic display mode may include the type of graphics, such as histograms, line graphs, etc., and may also include a graphic display range, such as general graphs and detail graphs.
The overall graph can be a group data analysis result display graph of the data packets obtained after the data packets are grouped according to the test item grouping rule, namely the overall test analysis result of all products in the group is included. The detail graph may be a group data analysis result display graph of the data packet obtained after grouping according to the test grouping rule and the non-test grouping rule, that is, the detail graph includes detailed results in the test analysis results of all the products in the group, for example, the test analysis results of the products belonging to a single production line.
In this embodiment, optionally, the method further includes:
displaying the item-testing analysis results of the products in the data grouping at the item-testing positions in parallel in the group graph analysis results;
and determining the stability of the item according to the distribution condition of the item analysis result.
And displaying the item analysis results of the single products in the data grouping at each item in the group graph analysis results, and displaying the item analysis results of all the products in parallel. All products are therefore presented at the same location at the same assay result for the same assay.
The stability of the items to be tested is determined according to the distribution condition of the analysis results of the items to be tested, the items to be tested with obvious difference can be identified through the distribution discreteness of the corresponding test data at the same item to be tested, the more discreteness shows that the stability of the items to be tested is not good, the possibility that the product generates quality problems at the position is increased, and the more polymerization shows that the stability of the items to be tested is better. For example, the Standard development (STD) of test data at the same test item is analyzed, and the larger the STD is, the more scattered the data is, the more unstable the data is; smaller standard deviations indicate smaller and more stable differences between data.
Fig. 3 is a schematic diagram of a group graph analysis result according to a second embodiment of the present invention, and as shown in fig. 3, the group graph analysis result is shown in a form of a line graph, which is a general diagram. The abscissa of the broken line graph is different test items which are sequenced according to a preset test item sequence, the ordinate of the broken line graph is a test value corresponding to the test item, and different broken lines represent different products. The results of the item analysis of all products on the same item are shown on the same abscissa.
As shown in FIG. 3, the test values at test item 1 are more discrete, indicating that the stability of the test item is poor; the test values of test item 4 are more aggregate, indicating that the stability of the test item is better.
The item measurement analysis results of the products in the data grouping at the item measurement positions are displayed in the group graph analysis results in parallel, the item measurement analysis results at the item measurement positions are displayed in a unified mode, and the intuitiveness of analysis result display is improved. And determining the stability of the test item according to the distribution condition of the test item analysis result, and timely and accurately determining the unstable test item, thereby facilitating the subsequent further processing of the unstable test item and improving the effectiveness of product test analysis.
In this embodiment, optionally, the method further includes:
obtaining the maximum result difference between the analysis results of all the items at the same item;
and determining a display mode of the analysis result of the test item according to the maximum result difference and a preset coordinate transformation position mapping mode.
The maximum difference between the analysis results for each test item at the same test item is, for example, 198 for the same test item with product a measuring 2, product B measuring 5, and product C measuring 200.
The display mode of the analysis result of the test item is determined according to the maximum result difference and the mapping mode of the preset coordinate transformation position, which may be a display mode of the analysis result of the test item with a larger difference according to the result with a larger difference and the mapping mode of the preset coordinate transformation position, for example, different analysis results are displayed in the display position of the preset analysis result in an unequal ratio, that is, the distance between the test value 2 and the test value 3 is shorter, and the distance between the test value 3 and the test value 200 is longer relative to the distance but is far less than 197 times of the distance.
Therefore, the test item analysis results are displayed in a reasonable form in the preset analysis result display position, the size of the obtained graph is appropriate, the effectiveness of result display is improved, the problem that the data are directly displayed to occupy too many display positions, the problem that a user is difficult to check, the generation time of the group graph analysis results is prolonged, and the problem that generated resources are consumed is solved.
And 240, outputting the group graph analysis result to a preset analysis result display position.
The single data grouping can obtain single or multiple group graphic analysis results, and the single or multiple group graphic analysis results are output to a preset analysis result display position to be displayed.
And step 250, outputting each group of data analysis results to a preset analysis result display position according to a preset parameter output mode.
Optionally, the data analysis results of each group are output to the EXCEL according to a preset parameter output mode, and the abnormal data in the table is specially marked, for example, red marks are marked, so that the comparison effect is enhanced, a user can see abnormal problem points more easily from the whole world, and the effectiveness of result display is improved. The judgment threshold of the abnormal data may be predetermined, and for example, the data with CPK < 1.33 and std > 0.83 is determined as abnormal data, and is subjected to the red marking process.
Optionally, the EXCEL VBA is embedded into the program, and a specific segment of VBA control program is used for each preset parameter output mode, so that the EXCEL is automatically controlled to complete interface formatting and data processing.
According to the embodiment of the invention, the group graph analysis results are generated by the group graph analysis results according to the preset test item sequence mode, so that the orderliness of the group graph analysis results is improved, and the group graph analysis results can be conveniently and visually checked by a user; the group graphic analysis result is generated according to the preset graphic display mode, the display types of the group graphic analysis result are enriched, a user can conveniently check the group graphic analysis result according to the requirement, and the effectiveness of result display is improved.
EXAMPLE III
Fig. 4 is a schematic structural diagram of a product testing and analyzing apparatus according to a third embodiment of the present invention. The device can be realized in a hardware and/or software mode, can execute the product test analysis method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. As shown in fig. 4, the apparatus includes:
an initial data obtaining module 410, configured to obtain initial product test data in response to an import operation of at least one product test file;
a data grouping determining module 420, configured to determine a data grouping of the initial product test data according to a preset grouping rule; the preset grouping rule comprises at least one of a test item grouping rule and a non-test item grouping rule;
the analysis result output module 430 is configured to obtain group data analysis results of each data packet, and output each group data analysis result to a preset analysis result display position according to a preset graph output mode and a preset parameter output mode.
On the basis of the foregoing technical solutions, optionally, the data packet determining module includes:
the test data determining unit is used for determining target product test data from the initial product test data according to a preset screening rule;
and the data grouping determining unit is used for determining the data grouping of the target product test data according to the preset grouping rule.
On the basis of the above technical solutions, optionally, the analysis result output module includes:
the data sorting unit is used for sorting the data in the data packet according to a preset sorting rule;
and the analysis result acquisition unit is used for carrying out data analysis on the data packets subjected to the sequencing processing to acquire the group data analysis result.
On the basis of the above technical solutions, optionally, the analysis result output module includes:
the analysis result generation unit is used for generating group graph analysis results according to the preset test item sequence and the preset graph display mode by using each group data analysis result;
and the analysis result output unit is used for outputting the group of graphic analysis results to the preset analysis result display position.
On the basis of the above technical solutions, optionally, the apparatus further includes:
the analysis result display unit is used for displaying the item analysis results of the products in the data grouping at the item positions in parallel in the group graph analysis results;
and the stability determining unit is used for determining the stability of the item according to the distribution condition of the item analysis result.
On the basis of the above technical solutions, optionally, the apparatus further includes:
a maximum result difference obtaining unit, configured to obtain a maximum result difference between the analysis results of the items at the same item;
and the display mode determining unit is used for determining the display mode of the analysis result of the test item according to the maximum result difference and a preset coordinate transformation position mapping mode.
On the basis of the above technical solutions, optionally, the apparatus further includes:
the threshold value acquisition module is used for acquiring a graphic display quantity threshold value and a parameter display quantity threshold value which are related to the preset analysis result display position after the analysis result output module;
the first analysis result display module is used for judging whether the number of the test items in the group graph analysis result of the group data analysis result is greater than the graph display number threshold value or not; if so, displaying the test item analysis results of which the number is the graph display number threshold;
the second analysis result display module is used for judging whether the number of the test items in the group parameter analysis result of the group data analysis result is greater than the parameter display number threshold value or not; and if so, displaying the test item analysis results of which the number is the parameter display number threshold.
Example four
FIG. 5 illustrates a schematic diagram of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. Processor 11 performs the various methods and processes described above, such as the product test analysis method.
In some embodiments, the product test analysis method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the product test analysis method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the product test analysis method by any other suitable means (e.g., by way of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the Internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method of product testing analysis, comprising:
responding to the import operation of at least one product test file, and acquiring initial product test data;
determining data grouping of the initial product test data according to a preset grouping rule; the preset grouping rule comprises at least one of a test item grouping rule and a non-test item grouping rule;
and respectively obtaining group data analysis results of each data group, and outputting each group data analysis result to a preset analysis result display position according to a preset graph output mode and a preset parameter output mode.
2. The method of claim 1, wherein determining the data grouping of the initial product test data according to a predetermined grouping rule comprises:
determining target product test data from the initial product test data according to a preset screening rule;
and determining the data grouping of the target product test data according to the preset grouping rule.
3. The method of claim 1, wherein obtaining the group data analysis result of each data packet comprises:
sorting the data in the data packet according to a preset sorting rule;
and performing data analysis on the data packets subjected to the sequencing processing to obtain the data analysis result of the group.
4. The method of claim 1, wherein outputting each of the plurality of data analysis results to a predetermined analysis result display location in a predetermined graphical output manner comprises:
generating a group graph analysis result according to a preset test item sequence and a preset graph display mode by using each group data analysis result;
and outputting the group of graphic analysis results to the preset analysis result display position.
5. The method of claim 4, further comprising:
displaying the item analysis results of each product in the data grouping at each item in parallel in the group graph analysis results;
and determining the stability of the item according to the distribution condition of the item analysis result.
6. The method of claim 5, further comprising:
obtaining the maximum result difference among the analysis results of the items at the same item;
and determining a display mode of the analysis result of the test item according to the maximum result difference and a preset coordinate transformation position mapping mode.
7. The method according to claim 1, further comprising, after outputting each of the group data analysis results to a preset analysis result display location according to a preset graphical output manner and a preset parameter output manner:
acquiring a graphic display quantity threshold value and a parameter display quantity threshold value related to the preset analysis result display position;
judging whether the number of test items in the group graph analysis result of the group data analysis result is greater than the graph display number threshold value; if so, displaying the test item analysis results of which the number is the graph display number threshold;
judging whether the number of the test items in the group parameter analysis result of the group data analysis result is greater than the parameter display number threshold value; and if so, displaying the test item analysis results of which the quantity is the parameter display quantity threshold value.
8. A product testing analysis device, comprising:
the initial data acquisition module is used for responding to the import operation of at least one product test file and acquiring initial product test data;
the data grouping determination module is used for determining the data grouping of the initial product test data according to a preset grouping rule; the preset grouping rule comprises at least one of a test item grouping rule and a non-test item grouping rule;
and the analysis result output module is used for respectively obtaining the group data analysis results of each data group and outputting each group data analysis result to a preset analysis result display position according to a preset graph output mode and a preset parameter output mode.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the product test analysis method of any one of claims 1-7.
10. A computer-readable storage medium having stored thereon computer instructions for causing a processor to, when executed, implement the product test analysis method of any one of claims 1-7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211194994.6A CN115292202A (en) | 2022-09-29 | 2022-09-29 | Product test analysis method and device, electronic equipment and storage medium |
| TW111144014A TW202414215A (en) | 2022-09-29 | 2022-11-17 | Product test analysis method, apparatus, electronic device, and storage medium |
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| CN117054948A (en) * | 2023-08-08 | 2023-11-14 | 安庆师范大学 | Stability analysis method and system for integrated circuit test equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113609008A (en) * | 2021-07-27 | 2021-11-05 | 北京淇瑀信息科技有限公司 | Test result analysis method and device and electronic equipment |
| CN114238295A (en) * | 2021-12-01 | 2022-03-25 | 唯品会(广州)软件有限公司 | Data sorting method and device based on grouping |
| CN114416458A (en) * | 2022-03-30 | 2022-04-29 | 航天中认软件测评科技（北京）有限责任公司 | Test method, device, equipment and storage medium |
| CN115061933A (en) * | 2022-06-30 | 2022-09-16 | 济南浪潮数据技术有限公司 | Performance test data analysis method, device and medium |
-
2022
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113609008A (en) * | 2021-07-27 | 2021-11-05 | 北京淇瑀信息科技有限公司 | Test result analysis method and device and electronic equipment |
| CN114238295A (en) * | 2021-12-01 | 2022-03-25 | 唯品会(广州)软件有限公司 | Data sorting method and device based on grouping |
| CN114416458A (en) * | 2022-03-30 | 2022-04-29 | 航天中认软件测评科技（北京）有限责任公司 | Test method, device, equipment and storage medium |
| CN115061933A (en) * | 2022-06-30 | 2022-09-16 | 济南浪潮数据技术有限公司 | Performance test data analysis method, device and medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117054948A (en) * | 2023-08-08 | 2023-11-14 | 安庆师范大学 | Stability analysis method and system for integrated circuit test equipment |
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