CN107766238B - Software testing method, device, equipment and computer readable storage medium - Google Patents
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- 238000013522 software testing Methods 0.000 title claims abstract description 23
- 238000012549 training Methods 0.000 claims description 37
- 238000004590 computer program Methods 0.000 claims description 8
- 238000005516 engineering process Methods 0.000 abstract description 3
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
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- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
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Abstract
The embodiment of the invention provides a software testing method, a software testing device, software testing equipment and a computer readable storage medium, relates to a software testing technology and is used for improving the accuracy of evaluating the prediction function of an input method. The software testing method of the embodiment of the invention comprises the following steps: acquiring letters input by a user by using an input method; acquiring a corresponding input method recommended word according to the input letters; according to the element root corresponding to the letter, acquiring a candidate word with the element root weight meeting a preset requirement; and comparing the input method recommended word with the candidate word to determine the accuracy of the input method recommended word. The invention can improve the accuracy of the input method prediction function.
Description
Technical Field
The present invention relates to software testing technologies, and in particular, to a software testing method, apparatus, device, and computer readable storage medium.
Background
With the development of the technology, the functions of the input method are more and more powerful. When a user inputs a certain letter (e.g., an english letter) by using the input method, the input method automatically prompts some recommended words. However, using existing methods requires manual statistics to determine whether the recommended words meet the input expectations of the user. Therefore, the accuracy of the input method prediction function cannot be accurately evaluated by the conventional method.
Disclosure of Invention
In view of this, embodiments of the present invention provide a software testing method, apparatus, device and computer readable storage medium for improving accuracy of evaluating a prediction function of an input method.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a software testing method, including:
acquiring letters input by a user by using an input method;
acquiring a corresponding input method recommended word according to the input letters;
according to the element root corresponding to the letter, acquiring a candidate word with the element root weight meeting a preset requirement;
and comparing the input method recommended word with the candidate word to determine the accuracy of the input method recommended word.
With reference to the first aspect, in a first implementation manner of the first aspect, the obtaining, according to a primitive root corresponding to the letter, a candidate word whose primitive root weight meets a predetermined requirement includes:
acquiring a root word list corresponding to the root according to the root, wherein each root word in the list has a corresponding root weight, and the root words are arranged according to the order of the root weights from large to small;
and selecting a preset number of element root words ranked at the top as the candidate words in the element root word list.
With reference to the first aspect, in a second implementation manner of the first aspect, the method further includes:
acquiring a plurality of training words, and at least acquiring a first element root, a second element root and a third element root which are included in each training word;
and respectively determining the corresponding relation between each training word and each element root in the element root set for the element root set consisting of the first element root, the second element root and the third element root of each word, and obtaining the element root weight of each training word.
In a second aspect, an embodiment of the present invention provides a software testing apparatus, including:
the first acquisition module is used for acquiring letters input by a user by using an input method;
the second acquisition module is used for acquiring the corresponding input method recommended word according to the input letter;
the third acquisition module is used for acquiring candidate words with the element root weight meeting the preset requirement according to the element roots corresponding to the letters;
and the determining module is used for comparing the input method recommended word with the candidate word and determining the accuracy of the input method recommended word.
With reference to the second aspect, in a first implementation manner of the second aspect, the third obtaining module includes:
the obtaining submodule is used for obtaining a root word list corresponding to the root according to the root, each root word in the list has a corresponding root weight, and each root word is arranged according to the order of the root weight from large to small;
and the selection submodule is used for selecting a preset number of primitive root words ranked in the top in the primitive root word list as the candidate words.
With reference to the second aspect, in a second implementation manner of the second aspect, the apparatus further includes:
the fourth acquisition module is used for acquiring a plurality of training words and at least acquiring a first element root, a second element root and a third element root which are included by each training word;
and the fifth acquisition module is used for respectively determining the corresponding relation between each training word and each element root in the element root set for the element root set consisting of the first element root, the second element root and the third element root of each word, and acquiring the element root weight of each training word.
In a third aspect, an embodiment of the present invention provides an electronic device, where the electronic device includes: the device comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space enclosed by the shell, and the processor and the memory are arranged on the circuit board; a power supply circuit for supplying power to each circuit or device of the electronic apparatus; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory for performing the steps of the method according to the aforementioned first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium for storing a computer program, where the computer program, when executed by a processor, implements the steps in the method according to the first aspect.
In the invention, after the user inputs the letters by using the input method, the corresponding input method recommended word and the candidate word with the element root weight meeting the preset requirement are obtained according to the input letters, and the input method recommended word and the candidate word can be compared to determine the accuracy of the input method recommended word, so that the prediction accuracy of the input method can be directly determined by using the scheme of the embodiment of the invention without using manual statistics like the prior art. Therefore, by using the scheme of the embodiment of the invention, the accuracy of the input method prediction function is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a software testing method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a software testing method according to an embodiment of the present invention;
FIG. 3 is a diagram of a software testing apparatus according to an embodiment of the present invention;
FIG. 4 is a diagram of a third obtaining module according to an embodiment of the present invention;
FIG. 5 is a block diagram of a software testing apparatus according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an electronic device according to an embodiment of the invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all 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.
As shown in fig. 1, the software testing method according to the embodiment of the present invention includes:
The input method may refer to any input method. In the embodiment of the present invention, the description is made by taking the alphabet as the english alphabet.
And 102, acquiring a corresponding input method recommended word according to the input letters.
According to the prior art, when a user inputs letters by using a certain input method, the input method prompts corresponding English words, the words prompted by the input method are called input method recommended words, and the input method recommended words are changed along with the increase of the input letters.
For example, assuming that the user currently inputs the letter a and he is input before the letter a, the word recommended by the input method at this time is the word corresponding to hea.
And 103, acquiring candidate words with the element root weights meeting the preset requirements according to the element roots corresponding to the letters.
In practical application, an English word can be split into element roots such as a first element root, a second element root, a third element root and the like. Wherein the first letter of each word is called a first element root, the combination of the first and second letters of each word is called a second element root, and the combination of the first, second and third letters of each word is called a third element root. And so on. Thus, starting with the first letter entered, the element root may be composed of the letter itself or a letter entered before the letter. That is, when the input letter is the first letter, the corresponding element root is a certain element root; when the input letter is the second letter, the corresponding element root is a certain two element root, and so on.
In this step, a root word list corresponding to the root is obtained according to the root corresponding to the letter, each root word in the list has a corresponding root weight, and the root words are arranged according to the descending order of the root weights, and a preset number of root words ranked in the top are selected as the candidate words in the root word list.
For example, when a user inputs H, the element root corresponding to the input letter is H; when the user inputs He, the binary root corresponding to the input letter is He; when the user inputs Hel, the ternary root corresponding to the input letter is Hel.
The preset number can be determined arbitrarily, for example, the value is 10.
And step 104, comparing the input method recommended word with the candidate word to determine the accuracy of the input method recommended word.
And comparing the input method recommended word with the candidate word to obtain the number of the same words in the input method recommended word and the candidate word, so as to determine the accuracy of the input method recommended word and further determine the prediction accuracy of the input method.
In the invention, after the user inputs the letters by using the input method, the corresponding input method recommended word and the candidate word with the element root weight meeting the preset requirement are obtained according to the input letters, and the input method recommended word and the candidate word can be compared to determine the accuracy of the input method recommended word, so that the prediction accuracy of the input method can be directly determined by using the scheme of the embodiment of the invention without using manual statistics like the prior art. Therefore, by using the scheme of the embodiment of the invention, the accuracy of the input method prediction function is improved.
In the following embodiments, the description will be made taking the input alphabet as an example of english alphabet. As shown in fig. 2, the software testing method according to the embodiment of the present invention includes:
Wherein the training word refers to any word input by a user. For example, the training word is Hello, which is split into a first root H, a second root He, and a third root Hel.
For each word, the word is split into a first element root, a second element root and a third element root. Therefore, a set of element roots can be formed according to the element root, the binary root and the ternary root included in each word. If the training word includes a certain one-element root, the training word has the weight count value of the one-element root incremented by 1.
Taking training words as Hello as an example, the unary root H corresponds to Hello, the binary root He corresponds to Hello, and the ternary root hell corresponds to Hello. When the word input by the reading user is Hello, establishing a corresponding relation between H and Hello, wherein the weight is + 1; when the word input by the reading user is Hello, establishing a corresponding relation between He and Hello, wherein the weight is + 1; and when the word input by the reading user is Hello, establishing the corresponding relation between the Hel and the Hello, wherein the weight is + 1.
Through the process, the weight corresponding relation between each training word and different first-element roots, second-element roots and third-element roots is established. That is, each training word corresponds to a different element root, with a corresponding element root weight.
And step 203, acquiring the letters input by the user by using the input method.
The input method may refer to any input method.
And step 204, acquiring a corresponding input method recommended word according to the input letters.
According to the prior art, when a user inputs letters by using a certain input method, the input method prompts corresponding English words, the words prompted by the input method are called input method recommended words, and the input method recommended words are changed along with the increase of the input letters.
For example, assuming that the user currently inputs the letter a and he is input before the letter a, the word recommended by the input method at this time is the word corresponding to hea.
And step 205, obtaining candidate words with the element root weight meeting the preset requirement according to the element roots corresponding to the letters.
In practical application, an English word can be split into element roots such as a first element root, a second element root, a third element root and the like. Wherein the first letter of each word is called a first element root, the combination of the first and second letters of each word is called a second element root, and the combination of the first, second and third letters of each word is called a third element root. And so on. Thus, starting with the first letter entered, the element root may be composed of the letter itself or a letter entered before the letter. That is, when the input letter is the first letter, the corresponding element root is a certain element root; when the input letter is the second letter, the corresponding element root is a certain two element root, and so on.
In this step, a root word list corresponding to the root is obtained according to the root corresponding to the letter, each root word in the list has a corresponding root weight, and the root words are arranged according to the descending order of the root weights, and a preset number of root words ranked in the top are selected as the candidate words in the root word list.
For example, when a user inputs H, the element root corresponding to the input letter is H; when the user inputs He, the binary root corresponding to the input letter is He; when the user inputs Hel, the ternary root corresponding to the input letter is Hel.
The preset number can be determined arbitrarily, for example, the value is 10.
And step 206, comparing the input method recommended word with the candidate word to determine the accuracy of the input method recommended word.
And comparing the input method recommended word with the candidate word to obtain the number of the same words in the input method recommended word and the candidate word, thereby determining the prediction accuracy of the input method.
For example, when a user inputs H, candidate words with a radical H and a radical weight value 10 before are obtained, and the candidate words are compared with input method recommended words to obtain a comparison result; when a user inputs He, acquiring candidate words which have the binary root He and are 10 th before the weight value of the binary root, and comparing the words with input method recommended words to obtain a comparison result; when a user inputs Hel, candidate words with the three-element roots Hel and 10 th of the weight value of the element roots are obtained, and the candidate words are compared with input method recommended words to obtain comparison results.
In the invention, after the user inputs the letters by using the input method, the corresponding input method recommended word and the candidate word with the element root weight meeting the preset requirement are obtained according to the input letters, and the input method recommended word and the candidate word can be compared to determine the accuracy of the input method recommended word, so that the prediction accuracy of the input method can be directly determined by using the scheme of the embodiment of the invention without using manual statistics like the prior art. Therefore, by using the scheme of the embodiment of the invention, the accuracy of the input method prediction function is improved. Meanwhile, by using the embodiment of the invention, the content of the test can be adjusted in real time according to the user linguistic data, the high-frequency words can be dynamically generated, the quality of the input method can be dynamically evaluated, the efficiency is improved, and the manpower and material resources are saved.
As shown in fig. 3, the software testing apparatus according to the embodiment of the present invention includes:
a first obtaining module 301, configured to obtain a letter input by a user using an input method;
a second obtaining module 302, configured to obtain a corresponding input method recommended word according to an input letter;
a third obtaining module 303, configured to obtain, according to the primitive root corresponding to the letter, a candidate word whose primitive root weight meets a predetermined requirement;
a determining module 304, configured to compare the input method recommended word with the candidate word, and determine accuracy of the input method recommended word.
As shown in fig. 4, the third obtaining module 303 includes:
an obtaining submodule 3031, configured to obtain, according to the element root, an element root word list corresponding to the element root, where each element root word in the list has a corresponding element root weight, and the element root words are arranged in a descending order of the element root weights;
the selecting submodule 3032 is configured to select, as the candidate word, a preset number of primitive root words ranked in the top order from the primitive root word list.
As shown in fig. 5, to further improve the evaluation accuracy, the apparatus further includes:
a fourth obtaining module 305, configured to obtain a plurality of training words, and obtain at least a first element root, a second element root, and a third element root included in each training word;
a fifth obtaining module 306, configured to determine, for a root set composed of a first root, a second root, and a third root of each word, a correspondence between each training word and each root in the root set, respectively, and obtain a root weight of each training word.
The working principle of the device of the embodiment of the invention can refer to the description of the embodiment of the method.
In the invention, after the user inputs the letters by using the input method, the corresponding input method recommended word and the candidate word with the element root weight meeting the preset requirement are obtained according to the input letters, and the input method recommended word and the candidate word can be compared to determine the accuracy of the input method recommended word, so that the prediction accuracy of the input method can be directly determined by using the scheme of the embodiment of the invention without using manual statistics like the prior art. Therefore, by using the scheme of the embodiment of the invention, the accuracy of the input method prediction function is improved.
Fig. 6 is a schematic structural diagram of an embodiment of an electronic device of the present invention, which can implement the processes of the embodiments shown in fig. 1-2 of the present invention, and as shown in fig. 6, the electronic device may include: the electronic device comprises a shell 601, a processor 602, a memory 603, a circuit board 604 and a power supply circuit 605, wherein the circuit board 604 is arranged inside a space surrounded by the shell 601, and the processor 602 and the memory 603 are arranged on the circuit board 604; a power supply circuit 605 for supplying power to each circuit or device of the electronic apparatus; the memory 603 is used for storing executable program code; the processor 602 executes a program corresponding to the executable program code by reading the executable program code stored in the memory 603, so as to execute the software testing method according to any one of the foregoing embodiments.
For the specific execution process of the above steps by the processor 602 and the steps further executed by the processor 602 by running the executable program code, reference may be made to the description of the embodiment shown in fig. 1 or fig. 2 of the present invention, and details are not described herein again.
An embodiment of the present invention further provides a computer-readable storage medium, configured to store a computer program, where the computer program, when executed by a processor, implements the following steps:
acquiring letters input by a user by using an input method;
acquiring a corresponding input method recommended word according to the input letters;
according to the element root corresponding to the letter, acquiring a candidate word with the element root weight meeting a preset requirement;
and comparing the input method recommended word with the candidate word to determine the accuracy of the input method recommended word.
Wherein the computer program when executed by a processor implements the steps of:
acquiring a root word list corresponding to the root according to the root, wherein each root word in the list has a corresponding root weight, and the root words are arranged according to the order of the root weights from large to small;
and selecting a preset number of element root words ranked at the top as the candidate words in the element root word list.
Wherein the computer program when executed by a processor implements the steps of:
acquiring a plurality of training words, and at least acquiring a first element root, a second element root and a third element root which are included in each training word;
and respectively determining the corresponding relation between each training word and each element root in the element root set for the element root set consisting of the first element root, the second element root and the third element root of each word, and obtaining the element root weight of each training word.
The embodiment of the invention also provides an application program used for executing the software testing method provided by the embodiment of the invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
For convenience of description, the above devices are described separately in terms of functional division into various units/modules. Of course, the functionality of the units/modules may be implemented in one or more software and/or hardware implementations of the invention.
From the above description of the embodiments, it is clear to those skilled in the art that the present invention can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A software testing method, comprising:
acquiring letters input by a user by using an input method;
acquiring a corresponding input method recommended word according to the input letters;
according to the element root corresponding to the letter, acquiring a candidate word with the element root weight meeting a preset requirement;
comparing the input method recommended word with the candidate word to determine the accuracy of the input method recommended word;
the obtaining of the candidate word with the element root weight meeting the predetermined requirement according to the element root corresponding to the letter comprises:
acquiring a root word list corresponding to the root according to the root, wherein each root word in the list has a corresponding root weight, and the root words are arranged according to the order of the root weights from large to small;
and selecting a preset number of element root words ranked at the top as the candidate words in the element root word list.
2. The method of claim 1, further comprising:
acquiring a plurality of training words, and at least acquiring a first element root, a second element root and a third element root which are included in each training word;
and respectively determining the corresponding relation between each training word and each element root in the element root set for the element root set consisting of the first element root, the second element root and the third element root of each training word, and obtaining the element root weight of each training word.
3. A software testing apparatus, comprising:
the first acquisition module is used for acquiring letters input by a user by using an input method;
the second acquisition module is used for acquiring the corresponding input method recommended word according to the input letter;
the third acquisition module is used for acquiring candidate words with the element root weight meeting the preset requirement according to the element roots corresponding to the letters;
the determining module is used for comparing the input method recommended word with the candidate word and determining the accuracy of the input method recommended word;
wherein the third obtaining module comprises:
the obtaining submodule is used for obtaining a root word list corresponding to the root according to the root, each root word in the list has a corresponding root weight, and each root word is arranged according to the order of the root weight from large to small;
and the selection submodule is used for selecting a preset number of primitive root words ranked in the top in the primitive root word list as the candidate words.
4. The apparatus of claim 3, further comprising:
the fourth acquisition module is used for acquiring a plurality of training words and at least acquiring a first element root, a second element root and a third element root which are included by each training word;
and the fifth acquisition module is used for respectively determining the corresponding relation between each training word and each element root in the element root set for the element root set consisting of the first element root, the second element root and the third element root of each training word, and acquiring the element root weight of each training word.
5. An electronic device, characterized in that the electronic device comprises: the device comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space enclosed by the shell, and the processor and the memory are arranged on the circuit board; a power supply circuit for supplying power to each circuit or device of the electronic apparatus; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory for performing the steps in the method of any of the preceding claims 1-2.
6. A computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the steps in the method according to any one of claims 1 to 2.
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| JP2003132053A (en) * | 2001-10-24 | 2003-05-09 | Seiko Epson Corp | Apparatus for character string conversion, method therefor, and recording medium |
| CN101236523A (en) * | 2008-02-29 | 2008-08-06 | 深圳华为通信技术有限公司 | Input method test method and device |
| CN103885608A (en) * | 2014-03-19 | 2014-06-25 | 百度在线网络技术（北京）有限公司 | Input method and system |
| CN105335415A (en) * | 2014-08-04 | 2016-02-17 | 北京搜狗科技发展有限公司 | Search method based on input prediction, and input method system |
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