CN111367817A - A test-oriented software quality assessment method and device - Google Patents

Abstract

The invention discloses a test-oriented software quality evaluation method and device, which are used for rapid, automatic and multiple quantitative evaluation of the quality state of the software under test or the system in the software test process. The method and the device are used in the software test process. The device can drive the automatic operation of the evaluation model only with test data such as software problem scale, which can reduce the cost of software quality evaluation activities in the software testing process, and improve the efficiency and feasibility of software quality evaluation. The set vector can be customized and adjusted by the user, which ensures the flexibility of evaluating the model.

Description

A test-oriented software quality assessment method and device

technical field

The invention relates to the technical field of software quality assurance, in particular to a test-oriented software quality state evaluation method and device.

Background technique

With the rapid development of computer, network, communication, artificial intelligence and other technologies and the continuous improvement of the level of informatization, the function presentation and performance of various systems or equipment are increasingly dependent on related software, and the business involved in software is in breadth. The scale and complexity of software continue to grow, and the cost of software development and the economic losses caused by software problems also increase significantly. Stakeholders such as managers, testers, and users are more Only by mastering the software quality level in the link can it be possible to reasonably plan and adjust corresponding measures to achieve effective management and control of software status. The status of software quality is gradually improving.

Software testing is an important engineering method for software quality assurance, and it is also an important link in the software life cycle. It uses manual or automatic means to run or measure the process of a software system, with the purpose of checking whether the software under test meets the specified requirements. Or to clarify the difference between the expected results and the actual results, software quality assurance generally requires that the relevant version of the software should be released after the test has passed. Evaluation can not only provide the most direct quantitative evaluation basis for the follow-up formal technical review of software quality assurance, program correctness certification and other activities, but more importantly, software quality assurance personnel can comprehensively evaluate the quantitative results of software quality assessment, and the results found in software testing. On the basis of specific problems, analyze and track the evolution trend of the overall software quality status, grasp the quality level of the current version of the software in a timely manner, discover and eliminate potential software quality hidden dangers as early as possible, reduce software quality risks, and enhance the software quality assurance personnel's awareness of large-scale software. , the management and control ability of high-complexity software systems, so it is becoming more and more important to carry out test-oriented software quality assessment in combination with the software testing process.

At present, there is no clear method and device for testing-oriented software quality evaluation in the market. The existing software quality evaluation system is mainly oriented to the whole process of the software life cycle, covering various quality characteristics in multiple models such as software product quality and use quality. There is no special software quality assessment model for the engineering practice of testing activities. Basically, it is necessary to refer to the recommended quality model to determine quality requirements, establish quality measures and perform quality evaluation. The implementation process involves quantitative analysis of entity attributes, selection of measurement elements, The design of measurement methods, construction of measurement functions, and other activities are systemic and cumbersome, and require a lot of manpower and time resources. Because software testing is extremely time-sensitive in engineering practice and is generally tense in terms of schedule, time, and labor, it cannot withstand the system. However, the operation cost of a comprehensive general software quality evaluation system makes it impossible to directly apply the general software quality evaluation system to software testing engineering practice. There is an urgent need for a dedicated software quality evaluation method and device for software testing activities to minimize resource consumption. Under the circumstance, realize the rapid and quantitative evaluation of the quality of the software under test.

SUMMARY OF THE INVENTION

In view of the above-mentioned problems, the purpose of a test-oriented software quality assessment method of the present invention is to, without affecting the software testing engineering activities, based on the measured data such as software problem scale and software problem level distribution generated in the test, realize the The rapid, automatic, and multiple quantitative assessment of the quality status of the software or system under test reduces the cost of software quality assessment, and provides a feasible engineering solution for software quality assessment in the software testing process, with strong pertinence.

The present invention realizes above-mentioned purpose through following technical scheme:

A test-oriented software quality assessment method, including:

Process 001 is based on the software problem evaluation set input by the tester, and increases the calibration of the software's problem-free state, and constructs a comprehensive evaluation set;

Process 002 further constructs an extended comprehensive evaluation vector set on the basis of the comprehensive evaluation set based on the extended attributes such as the evaluation value, the failure grade evaluation conclusion, and the evaluation level set by the tester for each component of the comprehensive evaluation set;

Process 003 constructs the corresponding test evaluation factor hierarchical structure storage structure according to the test evaluation factor hierarchical structure input. In the test evaluation factor hierarchical structure storage structure, the nodes are classified into different types according to leaf nodes and evaluation objects, and the different types of node information are divided into different types. Collect and store, in addition, the hierarchical structure storage structure of test evaluation factors also stores the relevant information of each layer and the link affiliation between nodes;

Process 004 receives the test problem scale distribution input by the tester, and stores it in the corresponding leaf node in the test evaluation factor hierarchy storage structure;

Process 005 traverses all leaf nodes, and implements single-factor measured evaluation on all leaf nodes;

Process 006 traverses each evaluation object node in each layer in bottom-up order, performs single evaluation atomic set failure evaluation on it, and traverses to the top root node, that is, completes the quality evaluation of the system or software under test.

As a further optimization, the software problem evaluation set is based on the classification of software problem severity levels used in the software testing process, and constitutes the evaluation level universe for software problems. Let V represent the software problem evaluation set, then there is V = {v ₁ , v ₂ , ..., v _j , ..., v _m }, the software problem evaluation set is also referred to as the evaluation set for short.

As a further optimization, the comprehensive evaluation set is based on the software problem evaluation set, and the calibration of the "no problem (0 problem)" state is introduced to constitute a complete set of evaluation components required for system failure evaluation. It can still be used to calibrate the severity level of software problems. On the other hand, it is also suitable for evaluating the degree of system failure and quality status. Let V _s be a comprehensive evaluation set constructed based on the general software problem severity level evaluation set V, and V _∞ is the calibration The evaluation component of the "no problem (0 problem)" state (called 0-term increment), then V _s is expressed as V _s =V∪{v _∞ }={v ₁ ,v ₂ ,...,v _j , ..., v _m , |v _∞ }.

其可表示为

将

中任意分量

定义为

As a further optimization, the extended comprehensive evaluation vector set is a vector set constructed by extending any evaluation component in the comprehensive evaluation set from a single semantic expression to multiple dimensions such as evaluation level and quantitative evaluation, so as to realize the failure of the system under test. Quantitative evaluation and multi-perspective description of degree and quality status, set the extended comprehensive evaluation set vector obtained after extending V _s as

It can be expressed as

Will

any component in

defined as

As a further optimization, the test evaluation factor hierarchical structure is based on the tester's understanding and analysis of the system or software under test, from the perspective of software testing, the function, performance, interface and other indicators or characteristics of the system under test or software, And software testing requirements such as safety, resilience, boundary, and strength are decomposed layer by layer, and evaluation factors are extracted to establish a corresponding tree structure model.

As a further optimization, the test evaluation factor hierarchy input is the original test evaluation factor hierarchy information input by the tester to the device, but has not been structured and stored in the device.

As a further optimization, the test evaluation factor hierarchical structure storage structure is the test evaluation factor stored in the computer system in any manner such as a database, table, array, file, etc. The corresponding form of the hierarchy.

As a further optimization, the leaf node is the lowest node of a certain path in the test evaluation factor hierarchy, and the node does not have any child nodes.

As a further optimization, the evaluation object is a specific object (which can be an entity, or abstract concepts such as attributes and characteristics) for which failure evaluation is performed. The concept of evaluation objects is relative, and in the test evaluation factor hierarchy , each node in each layer except the leaf node (the bottom node of a certain path, the node has no child nodes) can be regarded as the evaluation object of its lower sub-nodes, and the final evaluation object of the system failure evaluation is the root node That is, the software or system under test.

As a further optimization, the failure assessment is based on the distribution characteristics of the severity level and scale of various defects or errors that occur during the operation of the assessment object, to quantitatively analyze and evaluate the operational failure of the assessment object, and realize the evaluation Indirect assessment of object quality status.

即为对u_i的单因素实测评价。As a further optimization, the single-factor actual measurement evaluation is based on the scale of the problem found in the actual measurement process, and the fuzzy evaluation implemented on a single node in the hierarchical structure of test evaluation factors, with a given comprehensive evaluation set V _s =V ∪{v _∞ }, U is an arbitrary evaluation factor set, let u _i be any evaluation factor in U, a fuzzy subset constructed based on the scale of various problems found by u _i in the actual test

It is the single-factor measured evaluation of _ui .

As a further optimization, the evaluation factor set is the complete set of all evaluation factors that affect and restrict a certain evaluation object to form an evaluation factor set, and the number of evaluation factors included in the evaluation factor set U is called the degree of the evaluation factor set , denoted as deU(U), and U is called the deU(U) degree evaluation factor set. Let U represent the evaluation factor set containing n evaluation factors, then U={u ₁ , u ₂ ,..., u _i , ..., u _n }.

实现对et多因素模糊综合评估，

形式为

的分量函数形式为

其中

是针对评价集V实施模糊评价所得模糊向量

的分量函数。As a further optimization, the meaning of the single evaluation atomic set failure evaluation is, for any evaluation atomic set ES=<et, U>, deU(U)=n, a given m+1 degree comprehensive evaluation set V _s = V∪{v _∞ }, the failure evaluation of the evaluation atom set ES is based on the first-level fuzzy comprehensive evaluation, and the single-factor fuzzy evaluation results of all evaluation factors under the evaluation factor set U under the jurisdiction of the weighted comprehensive ES are used. Find the fuzzy subset of the universe of discourse as the comprehensive evaluation set V _s =V∪{v _∞ }

Realize the fuzzy comprehensive evaluation of et multi-factor,

in the form of

The component function of the form is

in

is the fuzzy vector obtained by performing fuzzy evaluation on the evaluation set V

component function.

As a further optimization, the evaluation atom set defines the minimum analysis scope (analysis object) for implementing failure evaluation, including the evaluation object and its corresponding evaluation factor set. Let ES be the evaluation atom set, then ES can be expressed as the sequence The even form ES=<et, U>, in which it is the evaluation object of et, and the set U is the evaluation factor set corresponding to et. In the hierarchical structure of test evaluation factors, any evaluation atomic set represents a non-leaf node et (evaluation object) and The ordered pair composed of all the child nodes set U (evaluation factor set) in the next layer.

含义为，设经测试et所发现的软件问题规模为S_et，则

其中n＝deU(U)，1≤i≤n，S_U为U的实测问题规模，对给定的综合评价集V_s＝V∪{v_∞}，

定义为

其中模糊子集

为针对U中每一评价因素所构建的动态权重集，运算符ο表示综合评判所采用的合成算子，模糊矩阵

为针对评估对象et所构建的模糊评价矩阵。As a further optimization, the fuzzy subset

The implication is that, if the scale of software problems found by testing _et is Set, then

where n=deU(U), 1≤i≤n, S _U is the measured problem scale of U, for a given comprehensive evaluation set V _s =V∪{v _∞ },

defined as

where fuzzy subset

For the dynamic weight set constructed for each evaluation factor in U, the operator o represents the synthetic operator used in the comprehensive evaluation, and the fuzzy matrix

is the fuzzy evaluation matrix constructed for the evaluation object et.

As a further optimization, the dynamic weight set is, when the software problem scale Set _≠ 0, comprehensively measure the scale of each evaluation factor and the severity (degree of harm) of various problems, and quantify the failure of each evaluation factor. degree, and constructing a weight distribution based on actual measurement is a dynamic weight set.

As a further optimization, the meaning of the fuzzy evaluation matrix is that the single-factor fuzzy evaluation results of all evaluation factors in the evaluation factor set U are n fuzzy subsets,

The fuzzy evaluation matrix is constructed by the whole fuzzy set

Another aspect of the present invention provides a test-oriented software quality assessment device, comprising:

The evaluation element building module, according to the hierarchical structure of the tested system or software input by the user, constructs the hierarchical structure of test evaluation factors;

The actual measurement and evaluation module realizes the actual measurement and evaluation of all leaf nodes;

The evaluation set building module, according to the user input, constructs the comprehensive evaluation set and expands the comprehensive evaluation vector set;

Hierarchical evaluation module, which realizes the evaluation of all elements in a certain level;

Evaluation and scheduling module, scheduling actual measurement evaluation module, evaluation set building module, and hierarchical evaluation module to realize evaluation;

The evaluation result display module displays the evaluation results of the system and nodes of each layer.

As a further optimization, the components of each vector in the extended comprehensive evaluation vector set can be adjusted, thereby realizing adjustment of the evaluation model.

The beneficial effects of the present invention are:

A test-oriented software quality evaluation method and device of the present invention are mainly used for rapid, automatic, and multiple quantitative evaluation of the quality state of the software under test or system during the software testing process. The method and the device are used in the software testing process. The device can drive the automatic operation of the evaluation model only with test data such as software problem scale, which can reduce the cost of software quality evaluation activities in the software testing process, and improve the efficiency and feasibility of software quality evaluation. The set vector can be customized and adjusted by the user, which ensures the flexibility of evaluating the model.

Description of drawings

In order to explain the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only this embodiment. For some embodiments of the present invention, for those of ordinary skill in the art, other drawings can also be obtained from these drawings without any creative effort.

FIG. 1 is a schematic overall flow diagram of a test-oriented software quality assessment method provided by the present invention.

FIG. 2 is a schematic diagram of an implementation manner of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be described in detail below. Obviously, the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other implementations obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

As shown in Figure 2, a schematic diagram of an implementation manner of the present invention includes:

According to the software problem evaluation set V input by the tester, the device increases the calibration of the software problem-free state to form a comprehensive evaluation set V _s .

The device further constructs an extended comprehensive evaluation vector set on the basis of the comprehensive evaluation set according to the extended attributes such as the evaluation value, the failure grade evaluation conclusion, and the evaluation level set by the tester for each component of the comprehensive evaluation set.

Based on the understanding and analysis of the system or software under test, the tester has the functions, performance, interface and other indicators or characteristics of the system or software under test from the perspective of software testing, as well as software testing requirements such as security, resilience, boundary, strength, etc. Carry out layer-by-layer decomposition, extract evaluation factors, establish a corresponding tree structure model, and form a hierarchical structure of test evaluation factors.

The device constructs the hierarchical structure frame storage structure Structure according to the overall structure of the test evaluation factor hierarchy input by the tester. In addition to storing the relevant information of each layer in the test evaluation factor hierarchical structure, the hierarchical structure frame storage structure structure must also store the virtual layer. The virtual layer is an abstraction level composed of all leaf nodes. The hierarchical information stored in the hierarchical structure frame storage structure Structure includes layer serial number, layer type, input data link, output result link, number of nodes, layer description, etc. information.

The device constructs a leaf node original data storage structure Layer0_in_leafOriginal corresponding to the virtual layer according to the distribution of each leaf node in the test evaluation factor hierarchy input by the tester, and the leaf node original data storage structure Layer0_in_leafOriginal stores the relevant information of each leaf node and the leaf node The distribution of the size of the test problems found during testing in the software problem evaluation set.

The device constructs the evaluation object node information storage structure the_nodes_of_ETs according to the connection relationship between the nodes in the test evaluation factor hierarchy input by the tester, and the evaluation object node information storage structure the_nodes_of_ETs stores the information directly under each evaluation object node in each layer according to the level. All child node information under the jurisdiction.

The device builds the node information storage structure Layerx_in_nodesInfo layer by layer according to the test evaluation factor hierarchical structure input by the tester. The node information storage structure Layerx_in_nodesInfo of each layer stores the node information of each node contained in the layer, and any node information stores the node information. Including the node type nodeType, the child node list childrens, the layer sequence number layerIndex and other information, the device traverses and detects each node layer by layer in order, if the node type is a leaf node, the node list childs of the node's children is set to empty, if the node If the type is an evaluation object, the device reads the child node information under the jurisdiction of the node in the evaluation object node information storage structure the_nodes_of_ETs, and sets it as the child node list childs of the node.

The device traverses the leaf nodes one by one, and implements the actual measurement evaluation: the device obtains the input data link information of the virtual layer from the hierarchical structure frame storage structure Structure, loads all the leaf nodes' measured original data from the leaf node original data storage structure Laycr0_in_leafOriginal, and evaluates all the leaf nodes. The node expands the ∞ vector, traverses all leaf nodes, and constructs a fuzzy subset whose universe of discourse is the comprehensive evaluation set V _s for each leaf node, so as to realize the single-factor fuzzy evaluation based on the scale of the measured problem, and the device stores the measured evaluation results of the leaf nodes in the measured evaluation. Stores the structure Layer0_RealTestValuation.

Device Loading Extended Comprehensive Evaluation Vector Set

模糊评价矩阵

评估结果Valuation等信息。The device constructs the evaluation result storage structure Layerx_Valuation of each layer except the virtual layer according to the test evaluation factor hierarchical structure information stored in the hierarchical structure framework storage structure Node evaluation result output architecture, the node evaluation result output architecture includes the problem scale _Set and dynamic weight set related to the node evaluation

Fuzzy Evaluation Matrix

Evaluation results Valuation and other information.

According to the bottom-up order, traverse each node in each layer except the virtual layer in the analysis hierarchy framework storage structure Structure, and realize the evaluation of each node at each level and even the whole system: the device reads the hierarchical structure framework storage structure Structure, except the virtual layer, reads the current layer information and the previous layer information layer by layer from bottom to top, and evaluates node by node in each layer;

If the device detects that the node type currently analyzed is a leaf node, take the measured evaluation result of the leaf node stored in the measured evaluation storage structure Layer0_RealTestValuation as its final evaluation result and save it in the evaluation result Valuation of the node evaluation result output structure;

中，装置检测当前节点问题规模S_et，若当前节点问题规模S_et为0，则当前节点评估结果的“0项增量”置1其余分量置为0，若问题规模S_et不为0，则利用拓展综合评价向量集

各向量的评估量值与对应问题规模乘积之和求取当前节点的失效度

根据失效度

求取动态权重集

动态权重集

与模糊评价矩阵

合成得到当前节点的评估结果，将当前节点的评估结果保存至当前节点的节点评估结果输出架构的评估结果Valuation中。If the device detects that the node type currently analyzed is the evaluation object, the device accumulates the problem scale of all sub-nodes in the previous layer of the node to obtain the current node problem scale, and _saves it to the node evaluation result of the current node. , the device reads the evaluation results of all child nodes in the previous layer of the current node, and constructs the fuzzy evaluation matrix of the current node, and stores it in the fuzzy evaluation matrix of the node evaluation result output structure of the current node.

, the device detects the current node problem scale S _et , if the current node problem scale S _et is 0, the "0-term increment" of the current node evaluation result is set to 1 and the rest of the components are set to 0, if the problem scale S _et is not 0, Then use the extended comprehensive evaluation vector set

The sum of the product of the evaluation value of each vector and the corresponding problem scale is used to obtain the failure degree of the current node

According to the degree of failure

Find the dynamic weight set

Dynamic weight set

with fuzzy evaluation matrix

The evaluation result of the current node is obtained by synthesis, and the evaluation result of the current node is saved in the evaluation result Valuation of the node evaluation result output structure of the current node.

Another aspect of the present invention provides a test-oriented software quality assessment device, comprising:

The evaluation element building module, according to the hierarchical structure of the tested system or software input by the user, constructs the hierarchical structure of test evaluation factors;

The actual measurement and evaluation module realizes the actual measurement and evaluation of all leaf nodes;

The evaluation set building module, according to the user input, constructs the comprehensive evaluation set and expands the comprehensive evaluation vector set;

Hierarchical evaluation module, which realizes the evaluation of all elements in a certain level;

Evaluation and scheduling module, scheduling actual measurement evaluation module, evaluation set building module, and hierarchical evaluation module to realize evaluation;

The evaluation result display module displays the evaluation results of the system and nodes of each layer.

The components of each vector in the extended comprehensive evaluation vector set can be adjusted, thereby realizing adjustment of the evaluation model.

The method of the present application uses test data such as software problem scale as input in the software testing process to realize rapid, automatic, and multiple quantitative evaluation of the quality status of the software under test or system, which can reduce the need for software quality evaluation in the software testing process. The cost of activities can improve the efficiency and feasibility of software quality evaluation. The extended comprehensive evaluation set vector used in it can be customized and adjusted by the user, which ensures the flexibility of the evaluation model.

To sum up, it is a specific embodiment of the present invention, and those skilled in the art can easily think of changes or substitutions when implementing the present invention. Therefore, various specific technical features described in the specific embodiments can be combined in various suitable ways, and in addition, various different implementations of the present invention can also be combined arbitrarily.

Claims (6)

1. The process 001 increases the calibration of a problem-free state of the software according to the software problem evaluation set input by the tester, and constructs a comprehensive evaluation set;

the process 002 further constructs an expanded comprehensive evaluation vector set on the basis of the comprehensive evaluation set according to the expanded attributes such as evaluation value, failure level evaluation conclusion, evaluation level and the like set by the tester for each component in the comprehensive evaluation set;

the process 003 constructs a corresponding test evaluation factor hierarchical structure storage structure according to the input of the test evaluation factor hierarchical structure, divides the nodes into different types according to leaf nodes and evaluation objects in the test evaluation factor hierarchical structure storage structure, collects and stores the information of the nodes of the different types, and stores the related information of each layer and the link membership between the nodes in the test evaluation factor hierarchical structure storage structure;

the process 004 receives the scale distribution of the test problems input by the tester, and stores the scale distribution into the corresponding leaf nodes in the hierarchical structure storage structure of the test evaluation factors;

the process 005 traverses all leaf nodes, and performs single-factor actual measurement evaluation on all the leaf nodes;

the process 006 traverses each evaluation object node in each layer in the bottom-up order, performs original evaluation subset failure evaluation on the evaluation object nodes, and traverses to the top root node, thereby completing quality evaluation on the tested system or software.

2. The comprehensive evaluation set and expanded comprehensive evaluation vector set according to claim 1, wherein calibration of a "no problem (0 problem)" state is introduced on the basis of the software problem evaluation set to form a complete set of evaluation components required for system failure evaluation, that is, the comprehensive evaluation set, and V is set_sA comprehensive evaluation set V constructed based on the evaluation set V of the severity level of the problem of the general software_∞To calibrate the evaluation component (called the 0 term increment) for the "no problem (0 problem)" state, V is then scaled_sIs shown as V_s＝V∪{v_∞}＝{v₁，v₂，…，v_j，…，v_m，|v_∞}；

Expanding any evaluation component in the comprehensive evaluation set from single semantic expression to multiple dimensions such as evaluation level, quantitative evaluation and the like to construct a corresponding expanded comprehensive evaluation set vector, and setting an expansion V_sThe obtained expanded comprehensive evaluation set vector is

Which can be represented as

Will be provided with

Of arbitrary component

Is defined as

3. The single-factor actual measurement evaluation according to claim 1, wherein if U represents an evaluation factor set including n evaluation factors, U ═ is₁，u₂，…，u_i，…，u_nThe single-factor actual measurement evaluation is based on the problem scale found in the actual measurement process, and a given comprehensive evaluation set V is set for the fuzzy evaluation implemented by a single node in the test evaluation factor hierarchy_s＝V∪{v_∞U is any evaluation factor set, let U_iAny evaluation factor in U is based on the collection of U_iFuzzy subsets of scale-up of various problems found in practical tests

I.e. is to u_iThe single factor measurement evaluation of (1).

4. The evaluation original subset and the single evaluation original subset of claim 1, wherein the evaluation original subset defines a minimum analysis range (analysis object) for performing the failure evaluation, and includes the evaluation object and its corresponding evaluation factor set, and let ES be the evaluation original subset, then ES can be expressed as an ordered pair form ES < et, U >, where for et evaluation object, set U is the evaluation factor set corresponding to et, and in the test evaluation factor hierarchy, any evaluation atom set represents an ordered pair formed by a certain non-leaf node et (evaluation object) and all the sub-node sets U (evaluation factor set) in the next layer;

for any one of the evaluation original subsets ES ═<et，U>De U (U) n, given a m +1 degree comprehensive evaluation set V_s＝V∪{v_∞The failure evaluation of the evaluation original subset ES is addedThe single-factor fuzzy evaluation results of all evaluation factors under the evaluation factor set U governed by the weight integration ES are used for solving the et domain as the comprehensive evaluation set V_s＝V∪{v_∞Fuzzy subset of

Has the component function form of

Wherein

The fuzzy vector obtained by fuzzy evaluation is implemented for the evaluation set V

A component function of (a);

let the scale of the software problem found by test et be S_etThen, then

Where n is deU (U), 1 ≦ i ≦ n, S_UFor the actual measurement problem scale of U, for a given comprehensive evaluation set V_s＝V∪{v_∞}，

Is defined as

Wherein the subset is blurred

A dynamic weight set is constructed for each evaluation factor in the U, operator represents a synthesis operator and a fuzzy matrix adopted by comprehensive evaluation

Is a fuzzy evaluation matrix constructed for the evaluation object et.

5. The dynamic weight set of claim 4, wherein when the software problem is of size S_etAnd when not equal to 0, integrating factors such as actually measured problem scale of each evaluation factor and severity (hazard degree) of each problem, and quantifying failure degree of each evaluation factor to construct weight distribution based on the actual measurement, namely a dynamic weight set.

6. A test-oriented software quality assessment apparatus, comprising:

the evaluation element construction module is used for constructing a test evaluation factor hierarchical structure according to the hierarchical structure of the system or software to be tested input by a user;

the actual measurement evaluation module is used for realizing actual measurement evaluation on all leaf nodes;

an evaluation set construction module which constructs a comprehensive evaluation set and expands a comprehensive evaluation vector set according to the user input,

the layer evaluation module is used for realizing the evaluation of all elements in a certain layer;

the evaluation scheduling module is used for scheduling the actual measurement evaluation module, the evaluation set construction module and the level evaluation module to realize evaluation;

and the evaluation result display module is used for displaying the evaluation results of the system and the nodes of each layer.

Images