Articolul precedent |
Articolul urmator |
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SM ISO690:2012 BONDARENCO, Vladimir, RUSU, Andrei, RUSU, Elena. Genetic algorithm for optimization of software process. In: Conference on Applied and Industrial Mathematics: CAIM 2018, 20-22 septembrie 2018, Iași, România. Chișinău, Republica Moldova: Casa Editorial-Poligrafică „Bons Offices”, 2018, Ediţia a 26-a, p. 116. ISBN 978-9975-76-247-2. |
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Conference on Applied and Industrial Mathematics Ediţia a 26-a, 2018 |
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Conferința "Conference on Applied and Industrial Mathematics" Iași, România, Romania, 20-22 septembrie 2018 | |||||||
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Pag. 116-116 | |||||||
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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 di erent weights and the software testing team have a limited time resource. It is clear that it takes di erent times to pass di erent 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. |
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<meta name="citation_title" content="Genetic algorithm for optimization of software process"> <meta name="citation_author" content="Bondarenco Vladimir"> <meta name="citation_author" content="Rusu Andrei"> <meta name="citation_author" content="Rusu Elena"> <meta name="citation_publication_date" content="2018"> <meta name="citation_collection_title" content="Conference on Applied and Industrial Mathematics"> <meta name="citation_volume" content="Ediţia a 26-a"> <meta name="citation_firstpage" content="116"> <meta name="citation_lastpage" content="116"> <meta name="citation_pdf_url" content="https://ibn.idsi.md/sites/default/files/imag_file/116-116_39.pdf">