Defect prediction method and system based on requirement change

Abstract

The invention belongs to the computer security field and specifically relates to a defect prediction method and a system based on requirement change. The invention uses software project history defect data and a requirement document to construct a correlation set of requirements and defects, a requirement classifier classifies history requirements according to the correlated history defect attributive classification, calculates the requirement characteristic value of a requirement item and establishes an SVM classifier; when new requirement change occurs, a requirement characteristic extractor extracts the requirement characteristic of the requirement, and a defect attribute predictor finds the requirement classification to which the predictor is belonged in the SVM classifier according to the information of the requirement characteristic, consequently obtains the related defect attribute of the classification and completes the defect prediction. The invention can automatically add or delete the requirement characteristic classification to be extracted and modify the weights of these characteristics in a classification model so as to lead the obtained prediction model to be more accurate and improve the prediction accuracy. The system can automatically complete prediction with directviewing prediction result.

Description

technical field [0001] The invention belongs to the field of computer security, and specifically relates to a method and system for predicting new project defects caused by these changes based on historical experience data of software projects when requirements change. Background technique [0002] Defects have an important impact on software quality and even software economy. At the same time, the complexity and difference of defect distribution problems, as well as the shortcomings of existing defect prediction techniques in solving practical problems, etc. Since the development of software defect prediction technology in the 1970s, it has been one of the most active contents in the field of software engineering, and plays an important role in analyzing software quality and balancing software cost. Software defect prediction techniques are generally divided into static and dynamic defect prediction techniques. Static prediction technology mainly refers to the technology o...

AI Technical Summary

Problems solved by technology

[0005] However, most of the existing defect prediction technologies need to analyze the software design and code, and cannot perform activities in the early stages of the software life cycle, such as demand activities, by predicting the distribution, type and scale of potential defects caused by these activities, so as to provide Provide meaningful basis and reference for the follow-up activities of the process

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