Method and system for software testing defect prediction

Abstract

The invention relates to the technical field of big data analysis and extracting, in particular to a method and system for predicting software testing defects. The method includes: collecting data, processing data, classifying data, analyzing data and the like. The method has the advantages that data mining is performed on the basis of the big data of the testing conditions of a currently existing software project or a software project which can update in real time so as to predict the software testing defects, and the data mining strips effective data from the big data and finds the law of the testing defects through data cleaning and data classification.

Description

technical field [0001] The invention relates to the technical field of big data analysis and extraction, in particular to a method and system for predicting defects in software testing. Background technique [0002] Big data refers to a collection of data that cannot be captured, managed and processed by conventional software tools within an affordable time frame. It requires a new processing model to have stronger decision-making power, insight discovery and process optimization capabilities To adapt to massive, high growth rate and diverse information assets. [0003] Data mining (Data mining), also translated as data mining, data mining. It is a step in database knowledge discovery. Data mining generally refers to the process of searching for information hidden in a large amount of data through algorithms. Data mining is often associated with computer science and accomplishes the above goals through methods such as statistics, online analytical processing, intelligence...

AI Technical Summary

Problems solved by technology

Because of the existence of these variable elements, it is currently difficult to predict the defects that will appear in each software version

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