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Regression testing minimization, selection and prioritization: a survey
Author(s) -
Yoo S.,
Harman M.
Publication year - 2012
Publication title -
software testing, verification and reliability
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.216
H-Index - 49
eISSN - 1099-1689
pISSN - 0960-0833
DOI - 10.1002/stvr.430
Subject(s) - regression testing , test suite , computer science , selection (genetic algorithm) , test (biology) , minification , reliability engineering , prioritization , test case , software , risk based testing , data mining , machine learning , regression analysis , engineering , software system , software construction , management science , paleontology , biology , programming language
SUMMARY Regression testing is a testing activity that is performed to provide confidence that changes do not harm the existing behaviour of the software. Test suites tend to grow in size as software evolves, often making it too costly to execute entire test suites. A number of different approaches have been studied to maximize the value of the accrued test suite: minimization, selection and prioritization. Test suite minimization seeks to eliminate redundant test cases in order to reduce the number of tests to run. Test case selection seeks to identify the test cases that are relevant to some set of recent changes. Test case prioritization seeks to order test cases in such a way that early fault detection is maximized. This paper surveys each area of minimization, selection and prioritization technique and discusses open problems and potential directions for future research. Copyright © 2010 John Wiley & Sons, Ltd.