A method and apparatus for predicting characteristics of software items

A technology of software items and characteristics, applied in forecasting, data processing applications, calculations, etc., can solve problems such as interrelationship difficulties, and achieve intuitive and easy-to-acquire effects

Active Publication Date: 2018-03-27
SIEMENS AG
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in this scenario, it is very difficult to determine the individual factors that have an impact on the characteristics of the software project and their interrelationships

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
  • A method and apparatus for predicting characteristics of software items
  • A method and apparatus for predicting characteristics of software items
  • A method and apparatus for predicting characteristics of software items

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The solution of the embodiment of the present invention utilizes the Causal Modeling technology (CausalModeling) used to describe the causal mechanism of the system and the Bayesian belief network to predict the characteristics of the software project, wherein the causal relationship model technology starts from the characteristics of the software project, according to the management of the software project Information to obtain various factors that directly or indirectly affect the characteristics of the software project and their causal relationship, because the causal relationship model technology can be very comprehensive, intuitive and easy to obtain the various factors that have a direct or indirect impact on the characteristics of the software project and their causal relationship , so the solutions of the embodiments of the present invention can comprehensively, intuitively and easily obtain various factors that affect the characteristics of the software project a...

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 present invention relates to a method and device for predicting the characteristics of a software item, wherein the device includes: an acquisition module, which is used to start from the specified characteristics of the software item, and use a causal relationship model to obtain information on the management information of the software item. Each factor and its causal relationship that have direct or indirect influence on the specified characteristics mentioned above; the establishment module is used to establish a Bayesian belief network based on the obtained various factors and their causal relationship; A Bayesian belief network for predicting specified properties of said software item. By using the method and device, various factors affecting the characteristics of the software project and their interrelationships can be intuitively and easily obtained.

Description

technical field [0001] The invention relates to a method and a device for predicting properties of software items. Background technique [0002] With the development of technology, software has become an important factor affecting national economy, military affairs, politics and even social life. Because software is so important, it is often developed as a software project. In order to control the software development risk, it is necessary to predict some characteristics of the software project to understand the situation of the software project. [0003] Currently, many schemes have been proposed for predicting the characteristics of software items. Among them, there is a scheme that uses Bayesian Belief Network (BBN: Bayesian Belief Network) to predict software item characteristics. The scheme first determines the interrelationships among the factors that affect the characteristics of software items, and then builds Bayesian belief networks according to the determined i...

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 Patents(China)
IPC IPC(8): G06Q10/04
Inventor 彭飞
Owner SIEMENS AG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap