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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2013 Vol.1(3): 289-294 ISSN: 2301-3559
DOI: 10.7763/LNSE.2013.V1.63

Automated Discovery of Failure Domain

Mian Asbat Ahmad and Manuel Oriol
Abstract—There are several automated random strategies of software testing based on the presence of point, block and strip failure domains inside the whole input domain. As yet no particular, fully automated test strategy has been developed for the discovery and evaluation of the failure domains. We therefore have developed Automated Discovery of Failure Domain (ADFD), a new random test strategy that finds the failures and their domains in a given system under test. It further provides visualization of the identified pass and fail domains. In this paper we describe ADFD strategy, its implementation in York Extensible Testing Infrastructure (YETI) and illustrate its working with the help of an example. We report on experiments in which we tested error-seeded one and two-dimensional numerical programs. Our experimental results show that for each program, ADFD strategy successfully performs identification of failures, failure domains and their representation on graphical chart.

Index Terms—Automated, random, software, testing.

The authors are with the Department of Computer Science, University of York, YO10 5DD, UK (e-mail: mian.ahmad@york.ac.uk, manuel.oriol@york.ac.uk).


Cite: Mian Asbat Ahmad and Manuel Oriol, "Automated Discovery of Failure Domain," Lecture Notes on Software Engineering vol. 1, no. 3, pp. 289-294, 2013.

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