Open AccessA Review of Test Data Generation and Adequacy Criteria
Author(s) -
Sheetal Rajput
Publication year - 2017
Publication title -
ira - international journal of technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2455-4480
DOI - 10.21013/jte.v7.n2.p4
Subject(s) - test suite , undecidable problem , test (biology) , computer science , set (abstract data type) , reliability engineering , software , programming language , software engineering , test case , algorithm , engineering , machine learning , paleontology , regression analysis , decidability , biology
In the software testing a real way of measuring effective testing is that the system passes an adequate suite of test cases, and then it must be correct or dependable. But that’s impossible because the adequacy of test suites is provably undecidable. So we’ll have to settle adequacy Design rules to highlight inadequacy of test suites. Design rules do not guarantee good designs. Good design depends on talented, creative, disciplined designers and that can be the best test suite set to fulfill adequacy criteria .