Open AccessResearch on the Effectiveness Design of Information System Software Test Case Based on Clustering Algorithms
Author(s) -
Zeng Jijun,
Famao Mei,
Jiaxin Lin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1606/1/012019
Subject(s) - data mining , computer science , cluster analysis , path (computing) , test (biology) , software , test case , set (abstract data type) , association rule learning , test management approach , process (computing) , software development , algorithm , artificial intelligence , machine learning , software construction , programming language , paleontology , regression analysis , biology
With the rapid development of software industry, the scale of software becomes larger and larger, and the complexity of software becomes higher and higher. The test coverage criterion traverses to get the corresponding test path and deletes the redundant path according to the constraints, then analyses and eliminates the contradictions in each test scenario to get the consistent requirement scenario, and finally generates the test case set of interlocking software. Test cases are the basis of test execution. Effective writing of test cases plays an important role in the whole testing process of information system. There are constraints (such as dependencies and mutual exclusions) between input items or parameter values, and the constraints certainly exist. From the initial frequent pattern mining to closed pattern mining, maximum pattern mining, incremental mining, topic interest measurement, privacy protection, data flow and other types of data mining association rules.