Application of genetic algorithms in software engineering: A systematic literature review


Abstract:

Software engineering was born from the need to establish an adequate and efficient methodology for the development of the software, not using appropriate methods in the software produces a large number of errors, today on Software has evolved drastically and is considered as a discipline that has its own principles and requirements to obtain more structured solutions with planning, development and culmination. The genetic algorithms present an alternative to solve problems of optimization in the software engineering, therefore in this work a systematic literature review (SLR) of the application and technologies was carried out of the genetic algorithms in it. The results are presented based on 127 initial documents which, after passing through a review protocol, were reduced to 20 chords to the research topic, where it was indicated that the greatest application is in the tests of software.

Año de publicación:

2019

Keywords:

  • Evolutionary algorithms
  • Software Engineering
  • Genetic Programming
  • Genetic Algorithms
  • Optimization

Fuente:

googlegoogle
scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Ingeniería de software
  • Software

Áreas temáticas:

  • Ciencias de la computación