@Article{ChomaGuerSilvZain:2022:ApExSe,
               author = "Choma, Joelma and Guerra, Eduardo Martins and Silva, Tiago S. da 
                         and Zaina, Luciana M.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Universidade Federal de S{\~a}o Paulo (UNIFESP)} and 
                         {Universidade Federal de S{\~a}o Carlos (UFSCar)}",
                title = "An approach to explore sequential interactions in cognitive 
                         activities of software engineering",
              journal = "Information and Software Technology",
                 year = "2022",
               volume = "141",
                pages = "e106730",
                month = "Jan.",
             keywords = "Cognitive activities, Distributed cognition, Resources model, 
                         Sequential analysis, Software engineering.",
             abstract = "Context:: The study of cognitive aspects around software 
                         activities can provide valuable insights to improve software 
                         engineering practices. Objective: This paper presents an approach 
                         based on distributed cognition and sequential analysis to explore 
                         cognitive activities in the software development context by 
                         analyzing the interactions between software practitioners and the 
                         resources used to support them. Method: We conducted nine 
                         laboratory-based observation sessions to record qualitative 
                         audio/video data of interactions between the study participants 
                         and at-hand resources during the planning and managing of software 
                         analytics tasks. Results: The interaction strategies of the 
                         resources model included 21 emergent actions, and the sequential 
                         analysis revealed two different patterns of interaction over time. 
                         Conclusion: Our approach has been useful for evaluating how well 
                         an artifact works to support a team in software analytics 
                         activities. Furthermore, it can be applied to explore and discover 
                         interaction patterns in different software activities.",
                  doi = "10.1016/j.infsof.2021.106730",
                  url = "http://dx.doi.org/10.1016/j.infsof.2021.106730",
                 issn = "0950-5849",
             language = "en",
           targetfile = "choma_approach_2022.pdf",
        urlaccessdate = "14 jun. 2024"
}