• DocumentCode
    3694266
  • Title

    Detection strategies of smells in web software development

  • Author

    Maurício F. Aniche

  • Author_Institution
    University of Sã
  • fYear
    2015
  • Firstpage
    598
  • Lastpage
    601
  • Abstract
    Web application development uses many technologies and programming languages, both on the server side and on the client side. Maintaining the heterogeneous source code base is not easy, as each technology contains its own set of best practices and standards. Therefore, developers must be aware of diverse technologies´ and languages´ best practices, and quickly identify them in their codebases. To achieve that, we propose a set of detection strategies to automatically identify the presence (or ausence) of known bad web development practices. Our first implemented detection strategy enabled us to understand the feasibility of such work, and confirmed its usefulness for web developers.
  • Keywords
    "Software","Best practices","Measurement","Cascading style sheets","HTML","Java"
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance and Evolution (ICSME), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICSM.2015.7332522
  • Filename
    7332522