@InProceedings{PintoKuleSilvGuer:2015:ExSt,
               author = "Pinto, Felipe and Kulesza, Uir{\'a} and Silva, Leo and Guerra, 
                         Eduardo Martins",
          affiliation = "{Universidade Federal do Rio Grande do Norte (UFRN)} and 
                         {Universidade Federal do Rio Grande do Norte (UFRN)} and 
                         {Universidade Federal do Rio Grande do Norte (UFRN)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Automating the assessment of the performance quality attribute for 
                         evolving software systems: an exploratory study",
            booktitle = "Proceedings...",
                 year = "2015",
         organization = "Annual Hawaii International Conference on System Sciences, 48.",
             keywords = "Dynamic analysis, Performance evaluation, Quality attributes, 
                         Repository mining, Scenario.",
             abstract = "This paper describes an exploratory study for the evaluation of 
                         the performance quality attribute for releases of the same system. 
                         The main aim is to reveal performance degradations of 
                         architectural scenarios and their possible causes. Three software 
                         systems from different domains are used in our study, including a 
                         large-scale web system (SIGAA), a UML modeling tool (Argo UML), 
                         and a client-server framework for development of network 
                         applications (Netty). The data collection of the study is 
                         accomplished using a scenario-based approach that uses dynamic 
                         analysis and code repository mining to provide an automated way to 
                         reveal degradations of scenarios on releases of software systems. 
                         The results of our study show the feasibility of the approach to 
                         determine the causes of the performance degradations of scenarios, 
                         including the degraded and changed methods of scenarios, and the 
                         issues that have affected them.",
      conference-year = "5-8 Jan.",
        urlaccessdate = "23 maio 2024"
}