The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 27-646
Full Name: LJUBOMIR LAZIC
Position: Assistant Professor
Age: ON
Sex: Male
Address: Milana Vyjaklije 1/19
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E-mail address: llazic@np.ac.yu
Other E-mails: llazic@vets.edu.yu
Title of the Paper: Orthogonal Array application for optimal combination of software defect detection techniques choices
Authors as they appear in the Paper: LJUBOMIR LAZIC NIKOS MASTORAKIS
Email addresses of all the authors: llazic@np.ac.yu, mastor@ieee.org, llazic@vets.edu.yu
Number of paper pages: 18
Abstract: In this paper, we consider a problem that arises in black box testing: generating small test suites (i.e., sets of test cases) where the combinations that have to be covered are specified by input-output parameter relationships of a software system. That is, we only consider combinations of input parameters that affect an output parameter, and we do not assume that the input parameters have the same number of values. To solve this problem, we propose interaction testing, particularly an Orthogonal Array Testing Strategy (OATS) as a systematic, statistical way of testing pair-wise interactions. In software testing process (STP), it provides a natural mechanism for testing systems to be deployed on a variety of hardware and software configurations. The combinatorial approach to software testing uses models to generate a minimal number of test inputs so that selected combinations of input values are covered. The most common coverage criteria are two-way or pairwise c!
overage of value combinations, though for higher confidence three-way or higher coverage may be required. This paper presents some examples of software-system test requirements and corresponding models for applying the combinatorial approach to those test requirements. The method bridges contributions from mathematics, design of experiments, software test, and algorithms for application to usability testing. Also, this study presents a brief overview of the response surface methods (RSM) for computer experiments available in the literature. The Bayesian approach and orthogonal arrays constructed for computer experiments (OACE) were briefly discussed. An example, of a novel OACE application, to STP optimization study was also given. In this case study, an orthogonal array for computer experiments was utilized to build a second order response surface model. Gradient-based optimization algorithms could not be utilized in this case study since the design variables were discrete!
valued. Using OACE novel approach, optimum combination of software de
fect detection techniques choices for every software development phase that maximize all over Defect Detection Effectiveness of STP were determined.
Keywords: Software testing, Opzimization, Design of Experiments, Orthogonal array
EXTENSION of the file: .doc
Special (Invited) Session: Orthogonal Array Application for Optimized Software
Organizer of the Session: 607-402
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