@InProceedings{ChomaGueSilZaiCor:2019:ToArSu,
author = "Choma, Joelma and Guerra, Eduardo Martins and Silva, Tiago Silva
da and Zaina, Luciana A. M. and Correia, Filipe Figueiredo",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal
de S{\~a}o Paulo (UNIFESP)} and {Universidade Federal de S{\~a}o
Carlos (UFSCar)} and {Universidade do Porto (UP)}",
title = "Towards an artifact to support agile teams in software analytics
activities",
booktitle = "Proceedings...",
year = "2019",
organization = "International Conference on Software Engineering and Knowledge
Engineering, 31.",
publisher = "Knowledge Systems Institute Graduate School",
keywords = "software analytics, agile teams, decision making, software data.",
abstract = "Software analytics supports data-driven decision making, which
allows software practitioners to leverage valuable insights from
software data to improve their processes and many quality aspects
of the software. In this paper, we present an artifact designed
from a set of patterns to support agile teams to plan and manage
software analysis activities, named Software Analytics Canvas.
Further, we report the study undertaken to evaluate the ease of
use and the utility of our canvas from the practitioners
viewpoint, and a participatory design session carried out to
collect information about possible artifact improvements. In
general, subjects found the artifact useful, but some of them
reported difficulties in learning and understanding how to use it.
In the participatory design, they pointed out improvement points
and a new layout for the canvas components. The results of both
studies helped us refine the proposed artifact, improving both the
terms used in each element and the layout of the blocks to make
more sense for its users.",
conference-location = "Lisboa, Portugal",
conference-year = "10-12 July",
doi = "10.18293/SEKE2019-146",
url = "http://dx.doi.org/10.18293/SEKE2019-146",
isbn = "1891706489",
issn = "23259000",
language = "en",
urlaccessdate = "23 maio 2024"
}