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Genetic algorithm for optimization of software process

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dc.contributor.author BONDARENCO, Vladimir
dc.contributor.author RUSU, Andrei
dc.contributor.author RUSU, Elena
dc.date.accessioned 2020-11-06T11:23:46Z
dc.date.available 2020-11-06T11:23:46Z
dc.date.issued 2018
dc.identifier.citation BONDARENCO, Vladimir, RUSU, Andrei, RUSU, Elena. Genetic algorithm for optimization of software process. In: CAIM 2018: The 26th Conference on Applied and Industrial Mathematics: Book of Abstracts, Technical University of Moldova, September 20-23, 2018. Chişinău: Bons Offices, 2018, p. 116. en_US
dc.identifier.uri http://repository.utm.md/handle/5014/11201
dc.description Only Abstract en_US
dc.description.abstract The study conducted in this paper started from a real-life problem encounted by a software test manager. Testing a software consist in passing a set of tests, many of them are interdependent, they have different weights and the software testing team have a limited time resource. It is clear that it takes different times to pass different tests. The goal of the team is to conduct tests in the allowed time interval following a path such that the overall weight of passed tests is maximal. In the present paper we present a mathematical model of the problem and propose a solution to it based on developed evolutionary algorithm. en_US
dc.language.iso en en_US
dc.publisher Bons Offices en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject software process en_US
dc.subject genetic algorithms en_US
dc.subject evolutionary algorithms en_US
dc.subject software testing en_US
dc.subject optimization en_US
dc.title Genetic algorithm for optimization of software process en_US
dc.type Article en_US


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