CN113537794A - Target object analysis method and device, electronic equipment and storage medium - Google Patents

Target object analysis method and device, electronic equipment and storage medium Download PDF

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CN113537794A
CN113537794A CN202110829818.4A CN202110829818A CN113537794A CN 113537794 A CN113537794 A CN 113537794A CN 202110829818 A CN202110829818 A CN 202110829818A CN 113537794 A CN113537794 A CN 113537794A
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vulnerability
information
analyzed
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target
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刘莹
曹家
罗引
王磊
曲宝玉
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Beijing Zhongke Wenge Technology Co ltd
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
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Abstract

The embodiment of the invention discloses a method and a device for analyzing a target object, electronic equipment and a storage medium, wherein the method comprises the following steps: determining each function to be updated in the target program version, and determining function association attribute information corresponding to each function to be updated; the function association attribute information comprises difficulty level information and vulnerability attribute information; determining sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information, and determining a research and development attribute value of the corresponding object to be analyzed based on each sub-associated attribute information; and for each object to be analyzed, determining a target research and development attribute value of the current object to be analyzed according to the research and development attribute value corresponding to the current object to be analyzed and the historical research and development attribute value corresponding to the historical target program version corresponding to the target program version, so that the accuracy and comprehensiveness of the research and development quality determination of the object to be analyzed are improved.

Description

Target object analysis method and device, electronic equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a method and a device for analyzing a target object, electronic equipment and a storage medium.
Background
In the software development process, research and development personnel are core elements of software development and play a vital role in the time length of software development, the quality of software and the like. However, there is no evaluation method for developers to evaluate the software development ability of developers.
Disclosure of Invention
The embodiment of the invention provides a method and a device for analyzing a target object, electronic equipment and a storage medium, so as to realize the evaluation of software development capability of a user in a software development process and improve the accuracy of the evaluation of the development quality of the user.
In a first aspect, an embodiment of the present invention provides a method for analyzing a target object, where the method includes:
determining each function to be updated in the target program version, and determining function association attribute information corresponding to each function to be updated; the function association attribute information comprises difficulty level information and vulnerability attribute information;
determining sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information, and determining a research and development attribute value of the corresponding object to be analyzed based on each sub-associated attribute information;
and for each object to be analyzed, determining a target research and development attribute value of the current object to be analyzed according to the research and development attribute value corresponding to the current object to be analyzed and the historical research and development attribute value corresponding to the historical target program version corresponding to the target program version.
In a second aspect, an embodiment of the present invention further provides an apparatus for analyzing a target object, where the apparatus includes:
the system comprises a function to be updated determining module, a function to be updated determining module and a function updating module, wherein the function to be updated determining module is used for determining each function to be updated in a target program version and determining function association attribute information corresponding to each function to be updated; the function association attribute information comprises difficulty level information and vulnerability attribute information;
a research and development attribute value determination module, configured to determine sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information, and determine a research and development attribute value of the corresponding object to be analyzed based on each sub-associated attribute information;
and the target research and development attribute value determination module is used for determining a target research and development attribute value of each object to be analyzed according to a research and development attribute value corresponding to the current object to be analyzed and a historical research and development attribute value corresponding to a historical target program version corresponding to the target program version.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for analyzing the target object according to any of the embodiments of the present invention.
In a fourth aspect, embodiments of the present invention further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are used to perform the method for analyzing a target object according to any one of the embodiments of the present invention.
According to the technical scheme of the embodiment of the invention, each function to be updated in the target program version is determined, and the function associated attribute information corresponding to each function to be updated is determined; determining sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information, and determining a research and development attribute value corresponding to the object to be analyzed based on each sub-associated attribute information; and determining a target research and development attribute value of each object to be analyzed according to the research and development attribute value corresponding to the current object to be analyzed and the historical research and development attribute value corresponding to the historical target program version corresponding to the target program version. The technical scheme of the embodiment of the invention realizes the determination of the research and development attribute value of the object to be analyzed, assists the manager in evaluating the whole working condition of the object to be analyzed, and improves the accuracy and comprehensiveness of the research and development attribute value determination of the object to be analyzed.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, a brief description is given below of the drawings used in describing the embodiments. It should be clear that the described figures are only views of some of the embodiments of the invention to be described, not all, and that for a person skilled in the art, other figures can be derived from these figures without inventive effort.
Fig. 1 is a schematic flowchart illustrating a method for analyzing a target object according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a method for analyzing a target object according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of an analysis display of a target object according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an analysis apparatus for a target object according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a schematic flowchart of an analysis method for a target object according to an embodiment of the present invention, where the embodiment is applicable to a case where a research and development attribute of each target object is determined, and the method may be executed by a device for analyzing the target object, and the device may be implemented in a form of software and/or hardware.
As shown in fig. 1, the method for analyzing a target object according to the embodiment of the present invention specifically includes the following steps:
s110, determining each function to be updated in the target program version, and determining function associated attribute information corresponding to each function to be updated.
The target program version refers to a version of the software program which needs to be changed or updated. According to market demands, a software program is designed, the version of the software program is a target program version, and the function to be updated refers to a function needing to be programmed. Or updating the existing function of the software program which is on line or adding a new function, wherein the program version corresponding to the software program is determined as the target program version. The current target program version refers to the target program version currently being processed. The function to be updated refers to a new function that updates or adds an existing function. The function-associated attribute information includes difficulty level information and vulnerability attribute information. The function-associated attribute information refers to attribute information associated with a function. The difficulty level information refers to attribute information of the function itself. The vulnerability attribute information includes the number of vulnerabilities and the like.
Specifically, each function to be updated in the target program version is determined, the function association attribute information corresponding to each function to be updated is determined, and preparation work is made for subsequently determining the sub-association attribute information of the corresponding object to be analyzed according to the function association attribute information of the function to be updated.
S120, determining sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information, and determining a research and development attribute value of the corresponding object to be analyzed based on each sub-associated attribute information.
The object to be analyzed refers to a user who writes a program for the function to be updated. It should be noted that, in the embodiment of the present invention, each object to be analyzed may handle a plurality of functions to be updated. The sub-associated attribute information is used for determining a development attribute value of the object to be analyzed. The development attribute value refers to an attribute value determined based on each piece of sub-associated attribute information, and is used for determining the development level of the object to be analyzed.
Specifically, the sub-correlation attribute information of each object to be analyzed is determined according to the difficulty level information of the function to be updated, and in step 110, the difficulty level information is determined, and the sub-correlation attribute information corresponding to each object to be analyzed may be determined, for example, the sub-correlation attribute information of the object to be analyzed is determined according to the object to be analyzed corresponding to the function to be updated and the difficulty level information corresponding to the function to be updated. And determining the research and development attribute value of the object to be analyzed according to each piece of sub-associated attribute information corresponding to the object to be analyzed.
In this embodiment of the present invention, the determining, based on the function association attribute information, sub-association attribute information corresponding to each object to be analyzed includes: determining the vulnerability density information to be processed of the corresponding object to be analyzed based on the difficulty level information and the corresponding vulnerability number in each function association attribute information; determining vulnerability grade information to be processed of a corresponding object to be analyzed based on vulnerability grade information in each function association attribute information and corresponding vulnerability quantity; and determining sub-associated attribute information of the corresponding object to be analyzed based on the vulnerability density information to be processed and the vulnerability level information to be processed.
The sub-correlation attribute information comprises vulnerability density information to be processed and vulnerability level information to be processed; the vulnerability attribute information comprises vulnerability grade information and vulnerability quantity; the bug (bug) refers to an error which occurs when the object to be analyzed writes the program with the updating function. The vulnerability attribute information refers to the number of vulnerabilities, difficulty level information of the vulnerabilities, and the like. The vulnerability grade information refers to grade information divided according to vulnerability difficulty, and can be divided into current vulnerability grades based on preset vulnerability difficulty grades, such as grade one, grade two, grade three and the like. The number of vulnerabilities refers to the number of vulnerabilities corresponding to each vulnerability level, for example, the number of vulnerabilities at level one is 2, and the number of vulnerabilities at level two is 9. The to-be-processed vulnerability density information refers to information determined based on the difficulty level information of each to-be-updated function, the number of to-be-updated functions and the vulnerability number, and represents the vulnerability number condition related to the to-be-analyzed object when writing at least one program with the to-be-updated function. The to-be-processed vulnerability level information refers to level information determined based on each vulnerability level information and the vulnerability number corresponding to each vulnerability level information. The to-be-processed vulnerability level information represents the vulnerability level information related to the to-be-analyzed object when the to-be-updated functional program is written.
Specifically, the difficulty level information and vulnerability attribute information of each function to be updated are processed to obtain sub-associated attribute information of the corresponding object to be analyzed. Optionally, the to-be-processed vulnerability density information of the corresponding to-be-analyzed object is determined according to the difficulty level information and the corresponding vulnerability number in the function association attribute information corresponding to each to-be-updated function. And determining the grade information of the vulnerability to be processed of the corresponding object to be analyzed according to the vulnerability grade information and the vulnerability quantity in the function association attribute information of each function to be updated. And determining the sub-associated attribute information of each object to be analyzed according to the to-be-processed vulnerability density information and the to-be-processed vulnerability level information of each object to be analyzed.
In this embodiment of the present invention, the determining, based on the difficulty level information and the corresponding number of vulnerabilities in each piece of function-associated attribute information, vulnerability density information to be processed corresponding to a corresponding object to be analyzed includes: and determining the to-be-processed vulnerability density information of the corresponding to-be-analyzed object based on the number of the to-be-updated functions, the vulnerability number in the function association attribute information and the difficulty level information.
The difficulty level information refers to difficulty level information for determining a function to be updated according to a preset difficulty level (a numerical value between 0 and 1) of the function.
Specifically, the average difficulty level information of the functions to be updated is determined according to the difficulty level information corresponding to each function to be updated corresponding to the object to be analyzed, and the vulnerability density information to be processed of the object to be analyzed is determined based on the average difficulty information, the vulnerability number and the number of the functions to be updated.
In this embodiment of the present invention, the determining, based on the vulnerability level information in each piece of function-associated attribute information and the corresponding vulnerability number, the to-be-processed vulnerability level information of the corresponding to-be-analyzed object includes: processing the vulnerability grade information in each function association attribute information and the corresponding vulnerability number to obtain an intermediate value; and adding the intermediate values to obtain the grade information of the vulnerability to be processed of the corresponding object to be analyzed.
Specifically, each vulnerability grade information and the corresponding vulnerability quantity are processed to obtain an intermediate value corresponding to each vulnerability grade information, and then each vulnerability grade information is added to obtain vulnerability grade information to be processed, so that the corresponding research and development attribute value of the object to be analyzed is determined based on the vulnerability grade information to be processed and the vulnerability density information to be processed.
S130, aiming at each object to be analyzed, determining a target research and development attribute value of the current object to be analyzed according to the research and development attribute value corresponding to the current object to be analyzed and the historical research and development attribute value corresponding to the historical target program version corresponding to the target program version.
The historical target program version refers to a program version of the same software before the current target program version. And the target research and development attribute value is used for evaluating the research and development quality of each object to be analyzed. In the development process, the whole process from software development and testing to software online is referred to.
Specifically, the target development attribute value corresponding to the current object to be analyzed is determined according to the development attribute values of the current object to be analyzed corresponding to the historical object program version and the current object program version, so that the target development attribute value of each object to be analyzed can be determined. Optionally, the development attribute values corresponding to the historical object program version and the current object program version may be averaged to obtain a development attribute average value, and the development attribute average value is determined to be the target development attribute value. It should be understood that the foregoing steps may also be understood as determining, for each object to be analyzed, a target development attribute value corresponding to the current object to be analyzed according to development attribute values of the current object to be analyzed when developing historical target program versions and current target program versions, and determining the development quality of each object to be analyzed based on the target development attribute value corresponding to each object to be analyzed.
According to the technical scheme of the embodiment of the invention, each function to be updated in the target program version is determined, and the function associated attribute information corresponding to each function to be updated is determined; determining sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information, and determining a research and development attribute value corresponding to the object to be analyzed based on each sub-associated attribute information; and determining a target research and development attribute value of each object to be analyzed according to the research and development attribute value corresponding to the current object to be analyzed and the historical research and development attribute value corresponding to the historical target program version corresponding to the target program version. The technical scheme of the embodiment of the invention realizes the determination of the research and development attribute value of the object to be analyzed, assists the manager in evaluating the whole working condition of the object to be analyzed, and improves the accuracy and comprehensiveness of the research and development attribute value determination of the object to be analyzed.
Example two
Fig. 2 is a schematic flow chart of an analysis method for a target object according to an embodiment of the present invention, and the embodiment of the present invention refines step 130 on the basis of an alternative to the above-mentioned embodiment, and a specific refinement process will be described in detail in the embodiment of the present invention. Technical terms identical or similar to those of the above embodiments will not be described again.
As shown in fig. 2, the method for evaluating the research and development quality of the user provided by the embodiment of the present invention specifically includes the following steps:
s210, determining each function to be updated in the target program version, and determining function associated attribute information corresponding to each function to be updated.
S220, determining sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information, and determining a research and development attribute value corresponding to the object to be analyzed based on each sub-associated attribute information.
S230, carrying out mean processing on the research and development attribute value corresponding to the current object to be analyzed and the historical research and development attribute value corresponding to the historical target program version corresponding to the target program version to obtain a research and development attribute mean value, and determining the research and development attribute mean value as a target research and development attribute value.
Specifically, mean processing is performed on the development attribute values (including the development attribute value of the current target program version and the historical development attribute value of the historical target program version) corresponding to each target program version, that is, the development attribute values are summed up, the sum is divided by the number of the development attribute values to obtain a development attribute mean value, and the development attribute mean value is used as the target development attribute value. The target research and development attribute values are obtained by carrying out mean processing on the research and development attribute values corresponding to different target program versions, and the research and development quality of the object to be analyzed can be integrally evaluated, so that the research and development quality result of the object to be analyzed is more accurate.
In this embodiment of the present invention, the determining the target development attribute value of the current object to be analyzed includes: updating the target research and development attribute value of the current object to be analyzed according to the team research and development attribute mean value of the target team to which the current object to be analyzed belongs and the target research and development attribute value of the current object to be analyzed;
the team development attribute mean value is determined according to the target development attribute value of each object to be analyzed in the target team. Optionally, the team development attribute mean may be obtained by performing mean processing according to the target development attribute value of each object to be analyzed in the target team.
Specifically, a target research and development attribute value to be updated of the current object to be analyzed is determined according to a team research and development attribute mean value of a target team to which the current object to be analyzed belongs and a target research and development attribute value of the current object to be analyzed, and an original target research and development attribute value is updated based on the target research and development attribute value to be updated. The method for determining the target research and development attribute value to be updated of the current object to be analyzed according to the team research and development attribute mean value and the target research and development attribute value of the current object to be analyzed may be to calculate a relative deviation ratio, a median value, a maximum value and the like of the target research and development attribute value and the team research and development attribute mean value. For example, when the mode of determining the target development attribute value to be updated of the current object to be analyzed is the relative deviation ratio, the relative deviation ratio is determined as the target development attribute value to be updated. Optionally, after the relative deviation ratio is determined, Sigmoid normalization processing is performed on the relative deviation ratio to obtain a numerical value within a [0-1] interval, so that the research and development quality of the object to be analyzed can be determined based on the target research and development attribute value to be updated.
According to the technical scheme of the embodiment of the invention, each function to be updated in the target program version is determined, and the function associated attribute information corresponding to each function to be updated is determined; determining sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information, and determining a research and development attribute value corresponding to the object to be analyzed based on each sub-associated attribute information; and carrying out mean processing on the research and development attribute value corresponding to the current object to be analyzed and the historical research and development attribute value corresponding to the historical target program version corresponding to the target program version to obtain a research and development attribute mean value, and determining the research and development attribute mean value as the target research and development attribute value. According to the technical scheme of the embodiment of the invention, the mean value processing of the research and development attribute values of different target program versions of each object to be analyzed is realized, the target research and development attribute value of each object to be analyzed is obtained, the accuracy of determining the target research and development attribute value is improved, and further, the accuracy of determining the research and development quality of each object to be analyzed is improved.
On the basis of the above embodiment, the method further includes: determining a team to which an object to be analyzed corresponding to each function to be updated belongs to determine a target team; and determining a team development attribute value of the target team according to the function association attribute information of at least one function to be updated corresponding to each object to be analyzed in the target team.
It should be understood that for a plurality of functions to be updated in one target program version, there may be a plurality of teams for processing, and therefore, objects to be analyzed corresponding to the respective functions to be updated in the target program version may belong to different teams. The target team is the team currently needing to make research and development attribute value determination. The team development attribute value is determined based on each parameter (function-related attribute) of the object to be analyzed in the team written with the target program.
Specifically, a team to which an object to be analyzed corresponding to each function to be updated belongs is determined first to determine a target team. And then, determining a team research and development attribute value of the target team according to function association attribute information (difficulty level information of the functions to be updated, the number of the functions to be updated and vulnerability attribute information corresponding to the functions to be updated) of at least one function to be updated corresponding to each object to be analyzed in the target team. And determining the team research and development attribute value of the whole team according to each corresponding parameter of the object to be analyzed, so that the research and development capacity of the whole team can be integrally evaluated on the basis of the team research and development attribute value.
In this embodiment of the present invention, determining a team development attribute value of a target team according to function-related attribute information of at least one to-be-updated function corresponding to each to-be-analyzed object in the target team includes: and determining a team research and development attribute value of the target team according to the difficulty level information of each function to be updated, the number of the functions to be updated, the vulnerability level information corresponding to each function to be updated and the vulnerability number corresponding to each vulnerability level information.
Specifically, the team research and development attribute value of the target team can be determined according to the difficulty level information of each function to be updated, the number of the functions to be updated, the vulnerability level information corresponding to each function to be updated and the vulnerability number corresponding to each vulnerability level information, and the team research and development quality of the target team can be determined according to the team research and development attribute value. The method for determining the team research and development attribute value according to the difficulty level information and the number information of the functions to be updated, the vulnerability level information corresponding to each function to be updated and the corresponding vulnerability number may include the following steps:
determining team vulnerability grade information according to vulnerability grade information corresponding to each function to be updated; determining the team vulnerability number corresponding to the team vulnerability grade information according to the vulnerability number corresponding to each vulnerability grade information; determining team vulnerability density information to be processed according to the difficulty level information of each function to be updated, the number of the functions to be updated and the number of team vulnerabilities; determining team vulnerability grade information to be processed according to the team vulnerability grade information and the corresponding team vulnerability number; and determining a target team research and development attribute value based on the to-be-processed team vulnerability density information and the to-be-processed team vulnerability level information.
It should be understood that each function to be updated herein refers to a function to be updated in the target team corresponding to an object to be analyzed written in the target program version (including the current target program version and/or the historical target program version). The team vulnerability grade information is determined based on vulnerability grade information corresponding to each function to be updated. For example, the target team has three functions to be updated, wherein the vulnerability class of the first function to be updated includes a first class and a second class, the vulnerability class of the second function to be updated includes a first class, and the vulnerability class of the third function to be updated includes a third class. Correspondingly, the team vulnerability classes include class one, class two and class three. The team vulnerability number corresponding to the team vulnerability grade information is determined based on the vulnerability number of each function to be updated. For example, the target team has three to-be-updated functions, where the vulnerability class of the first to-be-updated function includes a class one (corresponding to the vulnerability quantity is 4) and a class two (corresponding to the vulnerability quantity is 1), the vulnerability class of the second to-be-updated function includes a class one (corresponding to the vulnerability quantity is 5), and the vulnerability class of the third to-be-updated function includes a class three (corresponding to the vulnerability quantity is 2). Correspondingly, the number of vulnerabilities corresponding to the team vulnerability level one is 9, the number of vulnerabilities corresponding to the level two is 1, and the number of vulnerabilities corresponding to the level three is 2. The team vulnerability level information to be processed refers to vulnerability level information determined according to the team vulnerability level information and the corresponding team vulnerability number.
Specifically, team vulnerability grade information is determined according to vulnerability grade information corresponding to the function to be updated, and the vulnerability quantity corresponding to the team vulnerability grade information is determined according to the vulnerability quantity corresponding to each vulnerability grade information, so that team vulnerability grade information to be processed is determined based on the team vulnerability grade information and the corresponding team vulnerability quantity. And determining team vulnerability density information to be processed according to the difficulty level information of each function to be updated, the number of the functions to be updated and the number of team vulnerabilities.
It should be noted that the determination method of the vulnerability level information of the team to be processed is the same as that of the vulnerability level information, and the determination method of the vulnerability density information of the team to be processed is the same as that of the vulnerability density information. And determining a research and development attribute value of the target team according to the to-be-processed team vulnerability density information and the to-be-processed team vulnerability level information in the same manner as the method for determining the research and development attribute value based on the to-be-processed vulnerability density information and the to-be-processed vulnerability level information in the embodiment, and details are not repeated here.
EXAMPLE III
The analysis method for the target object provided by the embodiment of the present invention is an alternative to the above-mentioned embodiment, and the analysis method for the target object provided by the embodiment of the present invention confirms each element index (the number of functions to be updated corresponding to each object to be analyzed, the difficulty of the functions to be updated, the vulnerability grade, and the corresponding vulnerability number) in the whole process of program development. And then, determining the development attribute value of the object to be analyzed according to the element indexes.
Firstly, the difficulty of each function to be updated and the total number of the functions to be updated in each program version, and an object to be analyzed corresponding to each function to be updated are determined. In the process of developing the program version, the object to be analyzed writes the corresponding program code with the function to be updated, and records the bug level and the corresponding bug quantity. The time of recording may be one recording after each test is finished. And counting the number of at least one function to be updated corresponding to each object to be analyzed and the difficulty of the function to be updated, and determining the number of the functions to be updated corresponding to each object to be analyzed and the average difficulty of the functions to be updated. The calculation formula of the average difficulty is expressed as:
Figure BDA0003175103480000131
wherein HjRepresenting the average difficulty of the function to be updated of the object j to be analyzed, FjIndicating the function to be updated to which the object j to be analyzed is assignedNumber of (2), HiIndicating the difficulty of function i.
Then, determining vulnerability density information to be processed according to the average difficulty of functions to be updated of the object to be analyzed, the number of the functions to be updated and the number of vulnerabilities corresponding to at least one function to be updated, wherein the formula for determining the vulnerability density information to be processed is as follows:
Figure BDA0003175103480000141
wherein i represents the number of the current target program version, it should be understood that, for at least one target program version, the numbers may be added in sequence, so as to distinguish different target program versions. RI (Ri)i,jAnd representing the information of the current object j to be analyzed on the density of the vulnerability to be processed in the target program version i. B isi,jRepresenting the number of corresponding holes of the object j to be analyzed in the target program version i, Fi,jAnd the number of the functions to be updated corresponding to the object j to be analyzed in the target program version i is represented. Hi,jAnd the average difficulty of at least one function to be updated corresponding to the object to be analyzed is represented. a is a weight parameter.
And determining the grade information of the vulnerability to be processed corresponding to the object to be analyzed according to the grade information of the vulnerability corresponding to the object to be analyzed and the quantity of the vulnerabilities corresponding to each grade information of the vulnerability. The formula for determining the to-be-processed vulnerability level information can be expressed as follows:
Figure BDA0003175103480000142
wherein, SIi,jRepresenting the information of the level of the vulnerability to be processed of the object j to be analyzed in the target program version i, LkAnd (4) indicating vulnerability class information (parameters corresponding to vulnerability class k). In the embodiment of the present invention, the vulnerability class includes three classes in total, and the vulnerability class information may be set according to an actual situation, which is not specifically limited herein. B isi,kjAnd representing the number of the loopholes corresponding to the loophole level k of the object j to be analyzed in the target program version i.Bi,jAnd the total number of the loopholes corresponding to each function to be updated of the object to be analyzed in the target program version i is represented. b represents a weight parameter.
Processing SI and RI in multiple target program versions, specifically, calculating RI of object j to be analyzed in target program version1,j、RI2,j、RI3,j、……RIn,jTo obtain avgRjAnd sequentially calculating the average value information of the to-be-processed vulnerability density of each to-be-analyzed object. And calculating team vulnerability density mean information avgTR of at least one target team in the target program version. It should be noted that the team vulnerability density mean value information is obtained by calculating the mean value information of the to-be-processed vulnerability density of the to-be-analyzed object, and the team vulnerability density mean value information of the team is obtained by performing mean value calculation again according to the mean value information of the to-be-processed vulnerability density of at least one to-be-analyzed object. The object to be analyzed here refers to a user belonging to the target team. Calculating the relative deviation ratio of avgR and avgTR, and carrying out sigmoid normalization processing on the result, wherein the calculation formula is as follows:
Figure BDA0003175103480000151
Figure BDA0003175103480000152
URIj＝Sigmoid((avgRj-avgTR)/avgTR)
where n represents the number of program versions and m represents the number of people in the target team participating in the development of the target program for the object to be analyzed. URIjAnd representing target vulnerability density information of the object j to be analyzed.
And similarly, calculating the average value information avgS of the to-be-processed vulnerability level of each to-be-analyzed object. And calculating team vulnerability level mean information avgTS of at least one target team in the target program version. Calculating the relative deviation ratio of avgS and avgTS, and carrying out sigmoid normalization processing on the result, wherein the calculation formula is as follows:
Figure BDA0003175103480000153
Figure BDA0003175103480000154
USIj＝Sigmoid((avgSj-avgTS)/avgTS)
where n represents the number of program versions and m represents the number of people in the target team participating in the development of the target program for the object to be analyzed. USIjAnd representing target vulnerability level information of the object j to be analyzed.
According to the target vulnerability level information and the target vulnerability density information, a target research and development attribute value of an object to be analyzed can be determined, and the determination mode can be expressed as:
CI＝xURI+yUSI
wherein x and y are weight coefficients. CI is the target development attribute value.
Optionally, after the URI and the USI are obtained, the (URI, USI) of each object to be analyzed may be mapped to the corresponding two-dimensional coordinates and displayed on the display interface, see fig. 3, where the (URI, USI) of each object to be analyzed may be displayed in a circle. The larger the circle, the worse the quality of development of the object representing the analysis. The method can provide convenience for management personnel for intuitively reflecting the research and development quality of the object to be analyzed on the display interface, and can pertinently adjust the object to be analyzed according to the quadrant in which the different object to be analyzed is positioned so as to improve the research and development quality of the object to be analyzed.
In the embodiment of the invention, for the determination of the research and development quality of the team, the team vulnerability density information and the team vulnerability level information can be determined according to the total number of functions to be updated in the target program version, the difficulty information of the functions to be updated, the vulnerability level information and the corresponding vulnerability number, and the research and development quality of the target team is finally determined. The formula for determining team vulnerability density information is:
Figure BDA0003175103480000161
wherein TRI represents team vulnerability density information. And B represents the total number of the loopholes corresponding to each function to be updated in the target program version. F denotes the total number of functions to be updated. H represents the total difficulty average of all functions to be updated.
The formula for determining team vulnerability level information is:
Figure BDA0003175103480000162
where TSI represents team vulnerability level information. And B represents the total number of the loopholes corresponding to each function to be updated in the target program version. B iskAnd representing the number of the vulnerabilities corresponding to the vulnerability level k. L iskAnd representing parameters corresponding to the vulnerability level k. b represents a weight parameter.
The team research and development attribute value is determined according to the team vulnerability level information and the team vulnerability density information, the determination mode is the same as the determination mode of the target research and development attribute value, and the detailed description is given in the above. And determining the research and development quality of the team through the research and development attribute value of the team. Optionally, a certain period may be set, the number of target program versions in the period is calculated, then, index parameters corresponding to functions to be updated in the target program versions are calculated, team research and development attribute values of teams in the period are calculated, team research and development attribute values of the teams in multiple periods are calculated, whether research and development quality of the teams in the several periods is improved or not is determined, and management personnel can manage the teams conveniently. Optionally, the evaluation of team development quality may be further divided into evaluations of department teams and company teams. For a team of departments, team development attribute values are determined in the manner described above to allow for lateral comparisons between different teams of departments. Meanwhile, for a company team (the company team comprises a plurality of department teams), the team quality research and development evaluation values of the department teams are subjected to mean processing to obtain an average research and development attribute value of the company team so as to determine the research and development quality of the company team. And then the rank of each department team in the company team can be determined according to the team development attribute value of each department team and the average development attribute value of the company team, so that the management of the department teams is facilitated.
According to the technical method provided by the embodiment of the invention, the research and development quality of the object to be analyzed is determined through the target research and development attribute value of each object to be analyzed, the accuracy of the research and development quality determination is improved, and the decision basis can be provided for the object to be analyzed in a targeted manner through the research and development quality, so that the overall research and development level of the object to be analyzed is improved. Through the team research and development attribute value, the research and development quality of the team is determined, the accuracy of determining the research and development quality of the team is improved, and managers can provide improved suggestions for the working quality, the working mode and/or the working state and the like of each object to be analyzed in the team through the research and development quality of the team. And the comparison between each team (department team) can construct an experience training knowledge base for sharing experience training and improving the overall research and development quality of each team.
Example four
Fig. 4 is a schematic structural diagram of an analysis apparatus for a target object according to an embodiment of the present invention, where the analysis apparatus for a target object according to an embodiment of the present invention can execute an analysis method for a target object according to any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method. The device includes: a function to be updated determining module 410, a development attribute value determining module 420, and a target development attribute value determining module 430; wherein:
a function-to-be-updated determining module 410, configured to determine each function to be updated in the target program version, and determine function association attribute information corresponding to each function to be updated; the function association attribute information comprises difficulty level information and vulnerability attribute information; a development attribute value determining module 420, configured to determine sub-associated attribute information corresponding to each object to be analyzed based on the function-associated attribute information, and determine a development attribute value corresponding to the object to be analyzed based on each sub-associated attribute information; the target development attribute value determining module 430 is configured to determine, for each object to be analyzed, a target development attribute value of the current object to be analyzed according to a development attribute value corresponding to the current object to be analyzed and a historical development attribute value corresponding to a historical target program version corresponding to the target program version.
Further, the development attribute value determination module 420 is further configured to:
determining the vulnerability density information to be processed of the corresponding object to be analyzed based on the difficulty level information and the corresponding vulnerability number in each function association attribute information; determining vulnerability grade information to be processed of a corresponding object to be analyzed based on vulnerability grade information in each function association attribute information and corresponding vulnerability quantity; and determining sub-associated attribute information of the corresponding object to be analyzed based on the vulnerability density information to be processed and the vulnerability level information to be processed.
Further, the development attribute value determination module 420 is further configured to:
and determining the to-be-processed vulnerability density information of the corresponding to-be-analyzed object based on the number of the to-be-updated functions, the vulnerability number in the function association attribute information and the difficulty level information.
Further, the development attribute value determination module 420 is further configured to:
processing the vulnerability grade information in each function association attribute information and the corresponding vulnerability number to obtain an intermediate value; and adding the intermediate values to obtain the grade information of the vulnerability to be processed of the corresponding object to be analyzed.
Further, the target development attribute value determination module 430 includes:
and carrying out mean processing on the research and development attribute value corresponding to the current object to be analyzed and the historical research and development attribute value corresponding to the historical target program version corresponding to the target program version to obtain a research and development attribute mean value, and determining the research and development attribute mean value as a target research and development attribute value.
Further, the target development attribute value determination module 430 is further configured to:
updating the target research and development attribute value of the current object to be analyzed according to the team research and development attribute mean value of the target team to which the current object to be analyzed belongs and the target research and development attribute value of the current object to be analyzed; the team development attribute mean value is determined according to the target development attribute value of each object to be analyzed in the target team.
Further, the apparatus further comprises:
the target team determining module is used for determining a team to which the object to be analyzed corresponding to each function to be updated belongs so as to determine a target team; and determining a team development attribute value of the target team according to the function association attribute information of at least one function to be updated corresponding to each object to be analyzed in the target team.
Further, the target team determination module comprises:
and the team research and development attribute value determining submodule is used for determining a team research and development attribute value of the target team according to the difficulty level information of each function to be updated, the number of the functions to be updated, the vulnerability level information corresponding to each function to be updated and the vulnerability number corresponding to each vulnerability level information.
Further, the team development attribute value determination sub-module is further configured to:
determining team vulnerability grade information according to vulnerability grade information corresponding to each function to be updated; determining the team vulnerability number corresponding to the team vulnerability grade information according to the vulnerability number corresponding to each vulnerability grade information; determining team vulnerability density information to be processed according to the difficulty level information of each function to be updated, the number of the functions to be updated and the number of team vulnerabilities; determining team vulnerability information to be processed according to the team vulnerability grade information and the corresponding team vulnerability number; and determining a target team research and development attribute value based on the to-be-processed team vulnerability density information and the to-be-processed team vulnerability level information.
According to the technical scheme of the embodiment of the invention, each function to be updated in the target program version is determined, and the function associated attribute information corresponding to each function to be updated is determined; determining sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information, and determining a research and development attribute value corresponding to the object to be analyzed based on each sub-associated attribute information; and determining a target research and development attribute value of each object to be analyzed according to the research and development attribute value corresponding to the current object to be analyzed and the historical research and development attribute value corresponding to the historical target program version corresponding to the target program version. The technical scheme of the embodiment of the invention realizes the determination of the research and development attribute value of the object to be analyzed, assists the manager in evaluating the whole working condition of the object to be analyzed, and improves the accuracy and comprehensiveness of the research and development attribute value determination of the object to be analyzed.
It should be noted that, the units and modules included in the apparatus are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.
EXAMPLE five
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary electronic device 50 suitable for use in implementing embodiments of the present invention. The electronic device 50 shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 5, electronic device 50 is embodied in the form of a general purpose computing device. The components of the electronic device 50 may include, but are not limited to: one or more processors or processing units 501, a system memory 502, and a bus 503 that couples the various system components (including the system memory 502 and the processing unit 501).
Bus 503 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 50 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by electronic device 50 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 502 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)504 and/or cache memory 505. The electronic device 50 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 506 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, commonly referred to as a "hard drive"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 503 by one or more data media interfaces. Memory 502 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 508 having a set (at least one) of program modules 507 may be stored, for instance, in memory 502, such program modules 507 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 507 generally perform the functions and/or methodologies of embodiments of the invention as described herein.
The electronic device 50 may also communicate with one or more external devices 509 (e.g., keyboard, pointing device, display 510, etc.), with one or more devices that enable a user to interact with the electronic device 50, and/or with any devices (e.g., network card, modem, etc.) that enable the electronic device 50 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 511. Also, the electronic device 50 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via the network adapter 512. As shown, the network adapter 512 communicates with the other modules of the electronic device 50 over the bus 503. It should be appreciated that although not shown in FIG. 5, other hardware and/or software modules may be used in conjunction with electronic device 50, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 501 executes various functional applications and data processing, for example, implementing an analysis method for a target object provided by an embodiment of the present invention, by executing a program stored in the system memory 502.
EXAMPLE six
Embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method of analyzing a target object, the method comprising:
determining each function to be updated in the target program version, and determining function association attribute information corresponding to each function to be updated; the function association attribute information comprises difficulty level information and vulnerability attribute information; determining sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information, and determining a research and development attribute value corresponding to the object to be analyzed based on each sub-associated attribute information; and for each object to be analyzed, determining a target research and development attribute value of the current object to be analyzed according to the research and development attribute value corresponding to the current object to be analyzed and the historical research and development attribute value corresponding to the historical target program version corresponding to the target program version.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having 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 portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (12)

1. A method of analyzing a target object, comprising:
determining each function to be updated in the target program version, and determining function association attribute information corresponding to each function to be updated; the function association attribute information comprises difficulty level information and vulnerability attribute information;
determining sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information, and determining a research and development attribute value of the corresponding object to be analyzed based on each sub-associated attribute information;
and for each object to be analyzed, determining a target research and development attribute value of the current object to be analyzed according to the research and development attribute value corresponding to the current object to be analyzed and the historical research and development attribute value corresponding to the historical target program version corresponding to the target program version.
2. The method according to claim 1, wherein the sub-associated attribute information comprises to-be-processed vulnerability density information and to-be-processed vulnerability level information; the vulnerability attribute information comprises vulnerability grade information and vulnerability quantity;
the determining sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information includes:
determining the vulnerability density information to be processed of the corresponding object to be analyzed based on the difficulty level information and the corresponding vulnerability number in each function association attribute information;
determining vulnerability grade information to be processed of a corresponding object to be analyzed based on vulnerability grade information in each function association attribute information and corresponding vulnerability quantity;
and determining sub-associated attribute information of the corresponding object to be analyzed based on the vulnerability density information to be processed and the vulnerability level information to be processed.
3. The method according to claim 2, wherein the determining the to-be-processed vulnerability density information of the corresponding to-be-analyzed object based on the difficulty level information and the corresponding vulnerability number in each piece of function-associated attribute information comprises:
and determining the to-be-processed vulnerability density information of the corresponding to-be-analyzed object based on the number of the to-be-updated functions, the vulnerability number in the function association attribute information and the difficulty level information.
4. The method according to claim 2, wherein the determining the to-be-processed vulnerability level information of the corresponding to-be-analyzed object based on the vulnerability level information and the corresponding vulnerability number in each piece of function-associated attribute information includes:
processing the vulnerability grade information in each function association attribute information and the corresponding vulnerability number to obtain an intermediate value;
and adding the intermediate values to obtain the grade information of the vulnerability to be processed of the corresponding object to be analyzed.
5. The method according to claim 1, wherein the determining the target development attribute value of the current object to be analyzed according to the development attribute value corresponding to the current object to be analyzed and the historical development attribute value corresponding to the historical target program version corresponding to the target program version comprises:
and carrying out mean processing on the research and development attribute value corresponding to the current object to be analyzed and the historical research and development attribute value corresponding to the historical target program version corresponding to the target program version to obtain a research and development attribute mean value, and determining the research and development attribute mean value as a target research and development attribute value.
6. The method of claim 1, wherein the determining the target development attribute value of the current object to be analyzed comprises:
updating the target research and development attribute value of the current object to be analyzed according to the team research and development attribute mean value of the target team to which the current object to be analyzed belongs and the target research and development attribute value of the current object to be analyzed;
the team development attribute mean value is determined according to the target development attribute value of each object to be analyzed in the target team.
7. The method of claim 2, further comprising:
determining a team to which an object to be analyzed corresponding to each function to be updated belongs to determine a target team;
and determining a team development attribute value of the target team according to the function association attribute information of at least one function to be updated corresponding to each object to be analyzed in the target team.
8. The method as claimed in claim 7, wherein the determining a team development attribute value of the target team according to the function-associated attribute information of at least one function to be updated corresponding to each object to be analyzed in the target team comprises:
and determining a team research and development attribute value of the target team according to the difficulty level information of each function to be updated, the number of the functions to be updated, the vulnerability level information corresponding to each function to be updated and the vulnerability number corresponding to each vulnerability level information.
9. The method of claim 8, wherein determining a team development attribute value of a target team according to the difficulty level information of each function to be updated, the number of functions to be updated, the vulnerability level information corresponding to each function to be updated, and the vulnerability number corresponding to each vulnerability level information comprises:
determining team vulnerability grade information according to vulnerability grade information corresponding to each function to be updated;
determining the team vulnerability number corresponding to the team vulnerability grade information according to the vulnerability number corresponding to each vulnerability grade information;
determining team vulnerability density information to be processed according to the difficulty level information of each function to be updated, the number of the functions to be updated and the number of team vulnerabilities;
determining team vulnerability information to be processed according to the team vulnerability grade information and the corresponding team vulnerability number;
and determining a target team research and development attribute value based on the to-be-processed team vulnerability density information and the to-be-processed team vulnerability level information.
10. An apparatus for analyzing a target object, comprising:
the system comprises a function to be updated determining module, a function to be updated determining module and a function updating module, wherein the function to be updated determining module is used for determining each function to be updated in a target program version and determining function association attribute information corresponding to each function to be updated; the function association attribute information comprises difficulty level information and vulnerability attribute information;
a research and development attribute value determination module, configured to determine sub-associated attribute information corresponding to each object to be analyzed based on the function associated attribute information, and determine a research and development attribute value of the corresponding object to be analyzed based on each sub-associated attribute information;
and the target research and development attribute value determination module is used for determining a target research and development attribute value of each object to be analyzed according to a research and development attribute value corresponding to the current object to be analyzed and a historical research and development attribute value corresponding to a historical target program version corresponding to the target program version.
11. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of analyzing a target object of any of claims 1-9.
12. A storage medium containing computer-executable instructions for performing the method of analyzing a target object according to any one of claims 1 to 9 when executed by a computer processor.
CN202110829818.4A 2021-07-22 2021-07-22 Target object analysis method and device, electronic equipment and storage medium Pending CN113537794A (en)

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