Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Workload assessment and model training method, electronic equipment and storage medium

A technology for evaluating models and training methods, applied in the fields of electrical digital data processing, instruments, calculations, etc., can solve problems such as project overdue, high labor costs, low quality, etc., and achieve comprehensive problems, high evaluation accuracy, and strong objectivity Effect

Active Publication Date: 2019-02-01
ONE CONNECT SMART TECH CO LTD SHENZHEN
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The objective, accurate, and simple evaluation of software testing volume is a worldwide problem. With the development of software information technology, the influence of the software industry is increasing, and the investment in software development is also increasing. The manpower spent on software testing The cost is also increasing
However, in the actual software testing process, there are many problems such as project overdue, cost overrun and low quality. The reason is that the estimation of the project in the early stage of the test project is not effective and accurate enough.
[0003] Although there are currently some test project workload evaluation schemes, such as the function point analysis method, which can evaluate the project workload in the early stage of the test project, there are limited considerations, which lead to the problem that the evaluation results are not accurate enough.
In addition, the existing test project workload evaluation scheme does not estimate the test project schedule, but only estimates the test project workload, but cannot clearly and accurately infer the test project schedule based on the test project workload

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Workload assessment and model training method, electronic equipment and storage medium
  • Workload assessment and model training method, electronic equipment and storage medium
  • Workload assessment and model training method, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] figure 1 This is a flowchart of the workload evaluation model training method provided by the first embodiment of the present invention. According to different requirements, the execution order in this flowchart can be changed, and some steps can be omitted.

[0055] S11. Acquire a test item data set, where the test item data set includes multiple test items, and each test item includes multiple test data.

[0056] In this embodiment, the test item data set may be obtained through an enterprise historical software test item, where the historical software test item refers to a software test item that has occurred in the past and has been completed. The enterprise historical software testing project records the software development projects and the software testing projects corresponding to the software development projects. A software development project may have different development versions, and each version of the software development project may correspond to multi...

Embodiment 2

[0103] figure 2 This is a flow chart of the workload assessment method provided by the second embodiment of the present invention. According to different requirements, the execution order in this flowchart can be changed, and some steps can be omitted.

[0104] S21. Acquire multiple test data of the current test item to be evaluated.

[0105] In this embodiment, the multiple test data of the test item to be evaluated currently may include: a requirement document and a test task.

[0106] Preferably, each test data in a plurality of test data of the test item currently to be evaluated is written according to a preset rule.

[0107] In some embodiments, the writing of each test data in the multiple test data of the current test item to be evaluated according to a preset rule may include: compiling the requirements document in the current test item to be evaluated according to the first predetermined rule. Write rules.

[0108] The writing of the requirement document in the ...

Embodiment 3

[0128] image 3 It is a functional block diagram of a preferred embodiment of the workload evaluation model training device of the present invention.

[0129] In some embodiments, the workload assessment model training apparatus 30 runs in an electronic device. The workload evaluation model training device 30 may include a plurality of functional modules composed of program code segments. The program code of each program segment in the described workload evaluation model training device 30 can be stored in the memory and executed by at least one processor to execute (see for details. figure 1 and related descriptions) training of workload evaluation models.

[0130]In this embodiment, the workload evaluation model training device 30 can be divided into a plurality of functional modules according to the functions it performs. The functional modules may include: an acquisition module 301, a writing module 302, an extraction module 303, a calculation module 304, an input modul...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A workload assessment and model training method includes acquire a test item data set including a plurality of test items, each testing item including a plurality of test data; extracting a feature vector of each of the plurality of test data; calculating the difficulty coefficient of the test item according to the feature vector of the extracted test data; inputting the eigenvector, the difficulty coefficient and the project version scheduling of the test item into a preset loss function; When the calculated loss function value is less than or equal to the preset threshold, the workload evaluation model training ends. The invention also provides a workload evaluation method, an electronic device and a storage medium. The invention is the first time to apply artificial intelligence to thefirst column of the software testing field, the workload evaluation model trained has remarkable feature extraction ability, the model evaluation accuracy is high, and can accurately predict the workload of the testing items (scheduling and the number of test participants in the testing), and has strong objectivity.

Description

technical field [0001] The invention relates to the technical field of software testing, in particular to a method for evaluating the workload of a test item and training a model, an electronic device and a storage medium. Background technique [0002] The objective, accurate and simple evaluation of software testing volume is a worldwide problem. With the development of software information technology, the influence of the software industry is increasing, the investment in software development is also increasing, and the manpower spent on software testing is increasing. Costs are also increasing. However, in the actual software testing process, there are many problems such as project overdue, cost overrun and low quality. [0003] At present, although there are some test project workload assessment schemes, such as the function point analysis method, which can assess the project workload in the early stage of the test project, there are limited factors to consider, which l...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F11/36
CPCG06F11/3672Y02P90/30
Inventor 谭莉
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products