Towards semantic mutation testing of aspect-oriented programs

Aspect-oriented programs have received much attention from software testing researchers. Various testing techniques and approaches have been proposed to tackle issues and challenges when testing aspect-oriented programs including traditional mutation testing. In traditional mutation testing of asp...

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Main Author: Abd Ghani, Abdul Azim
Format: Article
Language:English
Published: Scientific Research Publishing 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30569/
http://psasir.upm.edu.my/id/eprint/30569/1/Towards%20semantic%20mutation%20testing%20of%20aspect.pdf
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author Abd Ghani, Abdul Azim
author_facet Abd Ghani, Abdul Azim
author_sort Abd Ghani, Abdul Azim
building UPM Institutional Repository
collection Online Access
description Aspect-oriented programs have received much attention from software testing researchers. Various testing techniques and approaches have been proposed to tackle issues and challenges when testing aspect-oriented programs including traditional mutation testing. In traditional mutation testing of aspect-oriented programs, mutants are generated by making small changes to the syntax of the aspect-oriented language. Recently, a new approach known as semantic mutation testing has been proposed. This approach mutates the semantics of the language in which the program is written. The mutants generated misunderstandings of the language which are different classes of faults. Aspect-oriented programming presents itself with different properties that can be further explored with respect to semantic mutation testing. This paper describes various possible scenarios that semantic mutation testing strategy might have particular value in testing aspect-oriented programs.
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spelling upm-305692015-09-04T07:56:52Z http://psasir.upm.edu.my/id/eprint/30569/ Towards semantic mutation testing of aspect-oriented programs Abd Ghani, Abdul Azim Aspect-oriented programs have received much attention from software testing researchers. Various testing techniques and approaches have been proposed to tackle issues and challenges when testing aspect-oriented programs including traditional mutation testing. In traditional mutation testing of aspect-oriented programs, mutants are generated by making small changes to the syntax of the aspect-oriented language. Recently, a new approach known as semantic mutation testing has been proposed. This approach mutates the semantics of the language in which the program is written. The mutants generated misunderstandings of the language which are different classes of faults. Aspect-oriented programming presents itself with different properties that can be further explored with respect to semantic mutation testing. This paper describes various possible scenarios that semantic mutation testing strategy might have particular value in testing aspect-oriented programs. Scientific Research Publishing 2013-10 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30569/1/Towards%20semantic%20mutation%20testing%20of%20aspect.pdf Abd Ghani, Abdul Azim (2013) Towards semantic mutation testing of aspect-oriented programs. Journal of Software Engineering and Applications, 6 (10A). pp. 5-13. ISSN 1945-3116; ESSN: 1945-3124 http://www.scirp.org/journal/PaperInformation.aspx?PaperID=37468#.VNhAVPmUdPI
spellingShingle Abd Ghani, Abdul Azim
Towards semantic mutation testing of aspect-oriented programs
title Towards semantic mutation testing of aspect-oriented programs
title_full Towards semantic mutation testing of aspect-oriented programs
title_fullStr Towards semantic mutation testing of aspect-oriented programs
title_full_unstemmed Towards semantic mutation testing of aspect-oriented programs
title_short Towards semantic mutation testing of aspect-oriented programs
title_sort towards semantic mutation testing of aspect-oriented programs
url http://psasir.upm.edu.my/id/eprint/30569/
http://psasir.upm.edu.my/id/eprint/30569/
http://psasir.upm.edu.my/id/eprint/30569/1/Towards%20semantic%20mutation%20testing%20of%20aspect.pdf