Title :
A Generalization of Boundary Value Analysis for Input Parameters with Functional Dependency
Author_Institution :
Dept. of Comput. & Inf. Syst., Trent Univ., Peterborough, ON, Canada
Abstract :
In this paper, a function tree method is introduced to design testing cases for input parameters with constraints. With three input parameters X, Y and Z, it is generally assumed that Y is a function of X, Z is a function of X and Y. Inspired from geometry view, the approach is a generalization of the traditional boundary value analysis in black-box testing. Based on the new algorithm, an auto-generator is designed and implemented as a testing tool. As an application, two real world systems are discussed.
Keywords :
boundary-value problems; generalisation (artificial intelligence); geometry; program testing; software tools; tree searching; black-box testing; boundary value analysis; function tree method; functional dependency; generalization; test case auto-generator; test cases designing; testing tool; Algorithm design and analysis; Frequency modulation; Geometry; Length measurement; Testing; Time measurement; Upper bound; Black-box testing; boundary value analysis; functional dependency;
Conference_Titel :
Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on
Conference_Location :
Yamagata
Print_ISBN :
978-1-4244-8198-9
DOI :
10.1109/ICIS.2010.39