International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
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Ant Colony Optimization for Multiversion Software Synthesis
Roman Yurievich Tsarev, Igor Vladimirivich Kovalev, Eugeny Valerievich Soloviev, Alexander Vladimirovich Prokopenko and Alexey Nikolaevich Knyazkov
Page: 136-139 | Received 21 Sep 2022, Published online: 21 Sep 2022
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Abstract
High reliability of the software can be achieved by the use of N-version or multiversion programming. In this case multiversion software modules are realized by means of several functionally equivalent versions developed to solve the same tasks. Synthesis of multiversion software based on the introduction of software redundancy with limited resources is always the optimization problem. Solution of this problem, as a rule, is a compromise between numbers of criteria. The research propose the method based on the use of ant algorithm for design of optimal multiversion software. The study presents an example of synthesis of multiversion software without redundancy. Although, there are several versions for the implementation of each software module.
How to cite this article:
Roman Yurievich Tsarev, Igor Vladimirivich Kovalev, Eugeny Valerievich Soloviev, Alexander Vladimirovich Prokopenko and Alexey Nikolaevich Knyazkov. Ant Colony Optimization for Multiversion Software Synthesis.
DOI: https://doi.org/10.36478/ijscomp.2016.136.139
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2016.136.139