Heuristics for Faster Error Detection With Automated Black Box Testing
Author(s) -
Antti Kervinen,
Pablo Virolainen
Publication year - 2005
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2004.12.007
Subject(s) - computer science , nondeterministic algorithm , heuristics , white box testing , heuristic , protocol (science) , algorithm , simple (philosophy) , orthogonal array testing , non regression testing , manual testing , computer engineering , programming language , artificial intelligence , software , software construction , medicine , philosophy , alternative medicine , pathology , epistemology , software system , operating system
Three building blocks for test guidance algorithms, the step evaluation, the state evaluation and the evaluation order, are proposed in this paper. We show how a simple family of coverage criteria can be used to evaluate individual testing steps, and how the nondeterministic behaviour of the tested system can be handled and longer term test step plans created with the state evaluation. We use the evaluation order to de ne which and when states are evaluated. Six heuristic algorithms based on these ideas are implemented. Four of them use a game-like approach to black box testing. In addition, three other test guidance algorithms are implemented for comparison. The algorithms are compared by measuring the number of testing steps required for detecting errors that are in ltrated to the conference protocol systems of two different sizes
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