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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