@InProceedings{ChomaGuer:2016:SyMaSo,
               author = "Choma, Joelma and Guerra, Eduardo Martins",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "A systematic mapping in software analytics",
                 year = "2016",
         organization = "Workshop de Computa{\c{c}}{\~a}o Aplicada, 16. (WORCAP)",
             abstract = "The application of Software Analytics (SA) in software development 
                         has become increasingly popular in the last years. Taking into 
                         account a growing complexity of the software projects, the idea of 
                         analytics is to leverage potentially large amounts of data into 
                         real and actionable insights. Due to huge amount of data generated 
                         during the life cycle of software, there is a lot of information 
                         that can be extracted in order to improve decision making for a 
                         software in its constant evolution. The decisions based on 
                         software data provide important information for supporting 
                         projects monitoring, enabling practitioners (e.g., developers, 
                         testers, usability engineers, and managers) to improve efficiency, 
                         managing risk, anticipating changes, as well as evaluating earlier 
                         decisions. Nevertheless, one of the greatest challenges is on how 
                         to turn these data into basis real and actionable for the 
                         strategic decision making. For assist those who make critical 
                         decisions in software projects, more studies in-depth are needed 
                         to provide not only appropriate techniques and tools, but also to 
                         identify which information they need. Our goal has been to 
                         investigate the current trends in the use of SA for 
                         decision-making in software development environment, and also to 
                         identify research gaps in the existing literature. For that 
                         purpose, we conducted a systematic mapping study (SMS) which 
                         allowed us to gather, categorize and map the existing studies 
                         around SA concepts, tools, and techniques. In our SMS, we selected 
                         thirty-two studies published between 2009 and 2016. We analyzed 
                         and categorized these studies according to the type of 
                         contribution distributed per software area, type of research over 
                         time, and type of research method employed. These findings 
                         provided an overview of the existing research on SA that will 
                         allow us to plan and develop future works in this research 
                         field.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
      conference-year = "25-26 out.",
             language = "en",
           targetfile = "choma_systematic.pdf",
        urlaccessdate = "28 abr. 2024"
}