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

Instant defect predicting method based on mixed effect removing

A prediction method and effect technology, applied in the field of immediate defect prediction based on the removal of mixed effects, can solve problems such as poor prediction performance and difficulty in data collection, and achieve the effect of high practicability, wide adaptability, and improved performance.

Inactive Publication Date: 2016-02-03
NANJING UNIV
View PDF2 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a real-time defect prediction method based on the removal of mixed effects, which solves the problems of difficult data collection and poor prediction performance in the current real-time defect prediction method, so that the real-time software defect prediction technology has wider adaptability , while improving the accuracy and precision of the technology, reasonably allocating the review workload, improving the efficiency of code review, and thus improving the quality of software products

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
  • Instant defect predicting method based on mixed effect removing
  • Instant defect predicting method based on mixed effect removing
  • Instant defect predicting method based on mixed effect removing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] In order to understand the technical content of the present invention, specific embodiments are given and described as follows in conjunction with the accompanying drawings.

[0042] figure 1 It is a flow chart of an instant defect prediction method based on the removal of mixed effects in an embodiment of the present invention. A real-time defect prediction method based on mixed effect removal is characterized in that it comprises the following steps:

[0043] · S101 Collection of change metrics: The version control system records all historical submission information during the software development process (including which files were modified in this submission, submitter, time, and log information). Based on these historical information recorded in the repository, change metrics are mined. Here, a change refers to the collection of all commits within a given time interval. Change metrics include the amount of added and deleted code, the amount of change (that is, ...

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

The invention provides an instant defect predicting method based on mixed effect removing. The method comprises the following steps that 1, software change measurement is collected; 2, a mixed effect of the change measurement and change amount measurement is removed; 3, an unsupervised instant defect predicting model is built; 4, a change sequence is submitted to developers to be examined. According to the instant defect predicting method based on mixed effect removing, the problems that in an existing traditional instant defect predicting method, the data collecting difficulty is large, and the predicting capacity is insufficient are solved; not only can the instant defect predicting model be simply and effectively built, but also the examination cost can be significantly saved, therefore, limited resources are fully utilized, and the software product quality is better controlled and improved.

Description

technical field [0001] The invention belongs to the field of software engineering, especially the field of real-time software defect prediction, and in particular relates to a real-time defect prediction method based on the removal of mixed effects. Background technique [0002] With the continuous development of software technology, users have higher and higher requirements for software quality, and software developers are constantly looking for ways to improve software quality to meet user needs. A software defect is a problem, error, or hidden functional defect in computer software or programs that destroys normal operating capabilities, and is the failure or violation of a certain function that the system needs to achieve. Software defects accompany each process of the software development process. If the requirements are not fully clarified in the requirements analysis stage, many unnecessary software defects will be brought about. Failure to adopt excellent management ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/36
Inventor 卢红敏杨已彪刘金平赵泱泱周毓明徐宝文
Owner NANJING UNIV
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