Genetic algorithm for optimization of software process
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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
Conferința "Conference on Applied and Industrial Mathematics"
Iași, România, Romania, 20-22 septembrie 2018

Genetic algorithm for optimization of software process


Pag. 116-116

Bondarenco Vladimir1, Rusu Andrei2, Rusu Elena3
 
1 Orange Moldova S.A.,
2 Ovidius University, Constanța,
3 Technical University of Moldova
 
Proiecte:
 
Disponibil în IBN: 2 iunie 2022


Rezumat

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.