Software vaccination: An artificial immune system approach to mutation testing

Peter May; Keith Mander; Jon Timmis

doi:10.1007/978-3-540-45192-1_8

Software vaccination: An artificial immune system approach to mutation testing

Peter May^*
, Keith Mander
, Jon Timmis

^*Awdur cyfatebol y gwaith hwn

Adran Cyfrifiadureg

University of Kent

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Pennod

9 Dyfyniadau (Scopus)

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Over time programming languages develop, paradigms evolve, development teams change. The effect of this is that test suites wear out, therefore these also need to evolve. Mutation testing is an effective fault-based testing approach, but it is computationally expensive. Any evolutionary based approach to this process needs to simultaneously manage execution costs. In this conceptual paper we adopt immune systems as a metaphor for the basis of an alternative mutation testing system. It is envisaged that through monitoring of the development environment, a minimal set of effective mutations and test cases can be developed - a 'vaccine' - that can be applied to the software development process to protect it from errors - from infections.

Iaith wreiddiol	Saesneg
Teitl	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Golygyddion	Jon Timmis, Peter Bentley, Emma Hart
Cyhoeddwr	Springer Nature
Tudalennau	81-92
Nifer y tudalennau	12
ISBN (Argraffiad)	3540407669, 9783540407669
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1007/978-3-540-45192-1_8
Statws	Cyhoeddwyd - 2003

Cyfres gyhoeddiadau

Enw	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Cyfrol	2787
ISSN (Argraffiad)	0302-9743
ISSN (Electronig)	1611-3349

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10.1007/978-3-540-45192-1_8

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May, P., Mander, K., & Timmis, J. (2003). Software vaccination: An artificial immune system approach to mutation testing. Yn J. Timmis, P. Bentley, & E. Hart (Gol.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (tt. 81-92). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Cyfrol 2787). Springer Nature. https://doi.org/10.1007/978-3-540-45192-1_8

May, Peter ; Mander, Keith ; Timmis, Jon. / Software vaccination : An artificial immune system approach to mutation testing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Gol. / Jon Timmis ; Peter Bentley ; Emma Hart. Springer Nature, 2003. tt. 81-92 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Software vaccination: An artificial immune system approach to mutation testing",

abstract = "Over time programming languages develop, paradigms evolve, development teams change. The effect of this is that test suites wear out, therefore these also need to evolve. Mutation testing is an effective fault-based testing approach, but it is computationally expensive. Any evolutionary based approach to this process needs to simultaneously manage execution costs. In this conceptual paper we adopt immune systems as a metaphor for the basis of an alternative mutation testing system. It is envisaged that through monitoring of the development environment, a minimal set of effective mutations and test cases can be developed - a 'vaccine' - that can be applied to the software development process to protect it from errors - from infections.",

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May, P, Mander, K & Timmis, J 2003, Software vaccination: An artificial immune system approach to mutation testing. yn J Timmis, P Bentley & E Hart (gol.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), cyfrol. 2787, Springer Nature, tt. 81-92. https://doi.org/10.1007/978-3-540-45192-1_8

Software vaccination: An artificial immune system approach to mutation testing. / May, Peter; Mander, Keith; Timmis, Jon.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). gol. / Jon Timmis; Peter Bentley; Emma Hart. Springer Nature, 2003. t. 81-92 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Cyfrol 2787).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Pennod

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May P, Mander K, Timmis J. Software vaccination: An artificial immune system approach to mutation testing. Yn Timmis J, Bentley P, Hart E, golygyddion, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature. 2003. t. 81-92. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-45192-1_8

Software vaccination: An artificial immune system approach to mutation testing

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