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dc.contributor.author RUIZ CASTILLA, JOSE SERGIO
dc.contributor.author Escudero Santamaría, Eduardo Daniel
dc.contributor.author Cervantes Canales, Jair
dc.contributor.author Trueba Espinosa, Adrián
dc.creator RUIZ CASTILLA, JOSE SERGIO; 231221
dc.creator Escudero Santamaría, Eduardo Daniel;x1346973
dc.creator Cervantes Canales, Jair; 101829
dc.creator Trueba Espinosa, Adrián; 58160
dc.date.accessioned 2018-03-02T01:17:52Z
dc.date.available 2018-03-02T01:17:52Z
dc.date.issued 2017
dc.identifier.isbn 978-3-319-66963-2
dc.identifier.uri http://hdl.handle.net/20.500.11799/71058
dc.description.abstract Abstract. In the Software industry are developed big software projects with tens or hundreds of developers. The fast change in technologies and development environment increase the complexity. Usually, there are project teams with a project leader. However, it is very difficult know all the profile of each developer. The development tasks also have their profile. Hence, it is necessary assign each task to the suitable developer. The erroneous assigning of tasks can cause delays and increase the project costs. Therefore, a bad assigning of tasks to developers can cause stress and low productivity. Therefore, we make a proposal for make the best assignment of task to developers regarding the task profile and developer profile. The task profile includes characteristics as: knowledge, kind of task, complexity, experience, test, etc., in other aspects as codification: paradigm, program language, version, etc. Using algorithms with similarity coefficients, we look for the best match to assign the tasks to the developers. In this work we used five techniques of similarity coefficient for get results and to recommend the best solution for this problem. We conclude that with the Sokal and Sneath technique we obtain better results to solve the problem. es
dc.language.iso eng es
dc.publisher SPRINGER es
dc.rights openAccess es
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject Software industry es
dc.subject similarity es
dc.subject coefficient es
dc.subject profile of tasks es
dc.subject , profile of developer es
dc.subject matching es
dc.subject.classification INGENIERÍA Y TECNOLOGÍA
dc.title Assigning-task method for developers in software projects es
dc.type Capítulo de Libro es
dc.provenance Científica es
dc.road Dorada es
dc.organismo Centro Universitario UAEM Texcoco es
dc.ambito Internacional es
dc.cve.CenCos 30401 es
dc.modalidad Artículo especializado para publicar en revista indizada es
dc.audience students es
dc.audience researchers es
dc.type.conacyt bookPart
dc.identificator 7


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  • Título
  • Assigning-task method for developers in software projects
  • Autor
  • RUIZ CASTILLA, JOSE SERGIO
  • Escudero Santamaría, Eduardo Daniel
  • Cervantes Canales, Jair
  • Trueba Espinosa, Adrián
  • Fecha de publicación
  • 2017
  • Editor
  • SPRINGER
  • Tipo de documento
  • Capítulo de Libro
  • Palabras clave
  • Software industry
  • similarity
  • coefficient
  • profile of tasks
  • , profile of developer
  • matching
  • Los documentos depositados en el Repositorio Institucional de la Universidad Autónoma del Estado de México se encuentran a disposición en Acceso Abierto bajo la licencia Creative Commons: Atribución-NoComercial-SinDerivar 4.0 Internacional (CC BY-NC-ND 4.0)

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