DEVELOPMENT OF A NEW REGRESSION TESTING APPROACH WITH SEMI-AUTOMATIC TEST SELECTION FOR AUDITING AN IMS DATABASE | Zendy

Alexey Ruchay | Zendy

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DEVELOPMENT OF A NEW REGRESSION TESTING APPROACH WITH SEMI-AUTOMATIC TEST SELECTION FOR AUDITING AN IMS DATABASE

Author(s) -

Alexey Ruchay

Publication year - 2020

Publication title -

journal of the ural federal district information security

Language(s) - English

Resource type - Journals

eISSN - 2225-5443

pISSN - 2225-5435

DOI - 10.14529/secur200405

Subject(s) - regression testing , computer science , selection (genetic algorithm) , test (biology) , data mining , audit , regression , sequence (biology) , database , artificial intelligence , statistics , programming language , mathematics , software development , software , paleontology , software construction , biology , genetics , management , economics

This work is devoted to the development of a new regression testing approach with semi-automatic test selection. Unlike previous works, the proposed approach is based on semi-auto-matic selection of tests taking into account various important factors, such as execution time, the required number of test executions, manual priority of tests, the result of previous tests, and test functionality. This allows you to fine-tune the sequence of regression tests in semi-automat-ic mode.DOI: 10.14529/secur200405

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