@InProceedings{LimaFranciscoMoGuBaNaLa:2017:AnAPSu,
               author = "Lima Francisco, Phyllipe de Souza and Mocci, Andrea and Guerra, 
                         Eduardo Martins and Bavota, Grabriele and Nardes, Marco and Lanza, 
                         Michele",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {University 
                         of Lugano} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {University of Lugano} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {University of Lugano}",
                title = "An annotation-based API for supporting runtime code annotation 
                         reading",
            booktitle = "Proceedings...",
                 year = "2017",
         organization = "ACM SIGPLAN International Workshop on Meta-Programming Techniques 
                         and Reflection",
             keywords = "metadata, code annotation, framework development.",
             abstract = "Code annotations are the core of the main APIs and frameworks for 
                         enterprise development, and are widely used on several 
                         applications. However, despite these APIs and frameworks made 
                         advanced uses of annotations, the language API for annotation 
                         reading is far from their needs. In particular, annotation reading 
                         is still a relatively complex task, that can consume a lot of 
                         development time and that can couple the framework internal 
                         structure to its annotations. This paper proposes an 
                         annotation-based API to retrieve metadata from code annotations 
                         and populate an instance with meta-information ready to be used by 
                         the framework. The proposed API is based on best practices and 
                         approaches for metadata definition documented on patterns, and has 
                         been implemented by a framework named Esfinge Metadata. We 
                         evaluated the approach by refactoring an existing framework to use 
                         it through Esfinge Metadata. The original and the refactored 
                         versions are compared using several code assessment techniques, 
                         such as software metrics, and bad smells detection, followed by a 
                         qualitative analysis based on source code inspection. As a result, 
                         the case study revealed that the usage of the proposed API can 
                         reduce the coupling between the metadata reading code and the 
                         annotations.",
  conference-location = "Vancouver, Canada",
      conference-year = "22 Oct.",
             language = "en",
           targetfile = "lima_annotation.pdf",
        urlaccessdate = "27 abr. 2024"
}