Open AccessDEVELOPMENT OF A NEW REGRESSION TESTING APPROACH WITH SEMI-AUTOMATIC TEST SELECTION FOR AUDITING AN IMS DATABASE
Author(s) -
Alexey Ruchay,
in Physics
Publication year - 2020
Publication title -
vestnik urfo. bezopasnostʹ v informacionnoj sfere
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