ui.R

# This is the user-interface definition of a Shiny web application.
# You can find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com
#

library(shiny)
library(plotly)
library(data.table)

shinyUI(navbarPage(
        "Software Maintenance Analytics",
        tabPanel(
                "Show me!",
                fluidPage(
                        titlePanel(""),
                        fluidRow(
                                # Application title
                                # Sidebar with a slider input for number of bins
                                column(
                                        width = 4,
                                        selectInput("project",
                                                    "Project name",
                                                    choices = rawData[, .(project = unique(project))]$project)
                                ),
                                column(width = 4, uiOutput("reportPeriod")),
                                column(width = 4, uiOutput("reportWindow"))
                        ),
                        fluidRow(column(width = 12, uiOutput("prjLink"))),
                        fluidRow(column(width = 12, tags$br())),
                        fluidRow(column(width = 12, uiOutput("tabs")))
                )
        ),
        tabPanel("About",
                 fluidPage(
                         fluidRow(
                                 column(width = 12),
                                 tags$div(
                                         checked = NA,
                                         tags$h1("Software Maintenance Activities"),
                                         tags$br(),
                                         tags$p(
                                                 "The research community has identified 3 main code maintenance activities:"
                                         ),
                                         tags$ul(
                                                 tags$li(tags$b("Corrective:"),
                                                         "fault fixing."),
                                                 tags$li(tags$b("Perfective:"),
                                                         "system improvements."),
                                                 tags$li(tags$b("Adaptive:"),
                                                         "new feature introduction.")
                                         ),
                                         tags$p(
                                                 "This demo presents the results of applying our commit classification algorithm on open source projects."
                                         ),
                                         tags$p(
                                                 "The underlying classification algorithm is based on the following papers:"
                                         ),
                                         tags$ol(
                                                 tags$li(
                                                         tags$a(href = "https://www.linkedin.com/in/staslevin/", "Stanislav Levin"),
                                                         " and ",
                                                         tags$a(href = "http://www.cs.tau.ac.il/~amiramy/", "Amiram Yehudai"),
                                                         ". \"Using Temporal and Semantic Developer-Level Information to Predict Maintenance Activity Profiles.\"",
                                                         tags$em(
                                                                 "In Software Maintenance and Evolution (ICSME), 2016 IEEE International Conference on, pp. 463-467. IEEE, 2016."
                                                         )
                                                 ),
                                                 tags$li(
                                                         tags$a(href = "https://www.linkedin.com/in/staslevin/", "Stanislav Levin"),
                                                         " and ",
                                                         tags$a(href = "http://www.cs.tau.ac.il/~amiramy/", "Amiram Yehudai"),
                                                         ". \"Boosting Automatic Commit Classification Into Maintenance Activities By Utilizing Source Code Changes.\"",
                                                         tags$em(
                                                                 "To be published, Predictive Models and Data Analytics in Software Engineering (PROMISE), 2017."
                                                         )
                                                 )
                                         ),
                                         tags$p(
                                                 tags$span("For more information about our research visit the project's"),
                                                 tags$a(href = "https://www.researchgate.net/project/Software-Evolution-Maintenance-via-Fine-Grained-Source-Code-Changes", "ResearchGate page.")
                                         ),
                                         tags$p("Feel free to contact us for any question, suggestion, or feedback.")
                                 )
                         ),
                         fluidRow(column(
                                 width = 12,
                                 tags$h3(
                                         actionButton("exploreRawData", "Explore raw data"),
                                         downloadButton('downloadData', 'Download raw data')
                                 )
                         )),
                         fluidRow(column(
                                 width = 12,
                                 DT::dataTableOutput("rawDataTable", width = "100%")
                         ))
                 ))
))