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modeling.m2t.acceleo

About this document

This document is a R notebook, dynamically created from the numbers extracted on the project. It lists all datasets published for the project, providing basic numbers, figures and a quick summary, and serves as a test case to make sure that all the required data is present and roughly consistent with requirements. All plots and tables are computed from the actual data as provided in the downloads.

To re-execute the document, simply start a R session, load rmarkdown and render the page with the project ID as a parameter:

require('rmarkdown')
render("datasets_report.Rmarkdown", params = list(project_id = "modeling.m2t.acceleo"), output_format="html_document")

This website uses the blogdown R package, which provides a different output_format for the hugo framework.

This report was generated on 2021-04-25.

Downloads

All data is retrieved from Alambic, an open-source framework for development data extraction and processing.

This project’s analysis page can be found on the Alambic instance for the Eclipse forge, at https://eclipse.alambic.io/projects/modeling.m2t.acceleo.

Downloads are composed of gzip’d CSV and JSON files. CSV files always have a header to name the fields, which makes it easy to import in analysis software like R:

data <- read.csv(file='myfile.csv', header=T)
names(data)

List of datasets generated for the project:

  • Git
    • Git Commits (CSV) – Full list of commits with id, message, time, author, committer, and added, deleted and modifed lines.
    • Git Commits Evol (CSV) – Evolution of number of commits and authors by day.
    • Git Log (TXT) – the raw export of git log.
  • Bugzilla
  • Eclipse Forums
    • Forums Posts (CSV) – list of all forum posts for this project.
    • Forums threads (CSV) – list of all forum threads for this project.
  • Jenkins CI
  • Eclipse PMI
    • PMI Checks (CSV) – list of all checks applied to the Project Management Infrastructure entries for the project.
  • ScanCode

Git

Git commits

Download: git_commits_evol.csv.gz

data <- read.csv(file=file_git_commits_evol, header=T)

File is git_commits_evol.csv, and has 3 columns for 977 entries.

data$commits_sum <- cumsum(data$commits)
data.xts <- xts(x = data[,c('commits_sum', 'commits', 'authors')], order.by=as.POSIXct(as.character(data[,c('date')]), format="%Y-%m-%d"))

time.min <- index(data.xts[1,])
time.max <- index(data.xts[nrow(data.xts)])
all.dates <- seq(time.min, time.max, by="days")
empty <- xts(order.by = all.dates)

merged.data <- merge(empty, data.xts, all=T)
merged.data[is.na(merged.data) == T] <- 0

p <-dygraph(merged.data[,c('commits')],
        main = paste('Daily commits for ', project_id, sep=''),
        width = 800, height = 250 ) %>%
      dyRangeSelector()
p


Git log

Download: git_log.txt.gz

File is git_log.txt, and full log has 27247 lines.


Bugzilla

Bugzilla issues

Download: bugzilla_issues.csv.gz

data <- read.csv(file=file_bz_issues, header=T)

File is bugzilla_issues.csv, and has 17 columns for 974 issues.

Bugzilla open issues

Download: bugzilla_issues_open.csv.gz

data <- read.csv(file=file_bz_issues_open, header=T)

File is bugzilla_issues_open.csv, and has 17 columns for 94 issues (all open).

Bugzilla evolution

Download: bugzilla_evol.csv.gz

data <- read.csv(file=file_bz_evol, header=T)

File is bugzilla_evol.csv, and has 3 columns for 633 weeks.

Let’s try to plot the monthly number of submissions for the project:

Versions

Download: bugzilla_versions.csv.gz

data <- read.csv(file=file_bz_versions, header=T)

File is bugzilla_versions.csv, and has 2 columns for 16 weeks.

Components

Download: bugzilla_components.csv.gz

data <- read.csv(file=file_bz_components, header=T)

File is bugzilla_components.csv, and has 2 columns for 6 weeks.

data.sorted <- data[order(data$Bugs, decreasing = T),]

g <- gvisColumnChart(data.sorted, options=list(title='List of product components', legend="{position: 'none'}", width="automatic", height="300px"))
plot(g)

Eclipse Forums

Forums posts

Download: eclipse_forums_posts.csv.gz

data <- read.csv(file=file_forums_posts, header=T)

File is eclipse_forums_posts.csv, and has 6 columns for 9510 posts. The evolution of posts

data$created.date <- as.POSIXct(data$created_date, origin="1970-01-01")
posts.xts <- xts(data, order.by = data$created.date)

time.min <- index(posts.xts[1,])
time.max <- index(posts.xts[nrow(posts.xts)])
all.dates <- seq(time.min, time.max, by="weeks")
empty <- xts(order.by = all.dates)

merged.data <- merge(empty, posts.xts$id, all=T)
merged.data[is.na(merged.data) == T] <- 0

posts.weekly <- apply.weekly(x=merged.data, FUN = nrow)
names(posts.weekly) <- c("posts")

p <- dygraph(
  data = posts.weekly[-1,],
  main = paste('Weekly forum posts for ', project_id, sep=''),
  width = 800, height = 250 ) %>%
  dyAxis("x", drawGrid = FALSE) %>%
  dySeries("posts", label = "Weekly posts") %>%
  dyOptions(stepPlot = TRUE) %>%
  dyRangeSelector()
p

The list of the 10 last active posts on the forums:

data$created.date <- as.POSIXct(data$created_date, origin="1970-01-01")
posts.table <- head(data[,c('id', 'subject', 'created.date', 'author_id')], 10)
posts.table$subject <- paste('<a href="', posts.table$html_url, '">', posts.table$subject, '</a>', sep='')
posts.table$created.date <- as.character(posts.table$created.date)
names(posts.table) <- c('ID', 'Subject', 'Post date', 'Post author')

print(
    xtable(head(posts.table, 10),
        caption = paste('10 most recent posts on', project_id, 'forum.', sep=" "),
        digits=0, align="lllll"), type="html",
    html.table.attributes='class="table table-striped"',
    caption.placement='bottom',
    include.rownames=FALSE,
    sanitize.text.function=function(x) { x }
)
10 most recent posts on modeling.m2t.acceleo forum.
ID Subject Post date Post author
1840738 Re: \[Acceleo\] Map data type? 2021-04-23 06:27:52 8586
1840379 Re: \[Acceleo\] Map data type? 2021-04-13 13:49:35 177965
1840373 Re: \[Acceleo\] Map data type? 2021-04-13 13:01:48 8586
1840371 Re: \[Acceleo\] Map data type? 2021-04-13 12:12:25 177965
1840370 Re: \[Acceleo\] Map data type? 2021-04-13 12:01:20 8586
1840369 Re: \[Acceleo\] Map data type? 2021-04-13 11:42:02 177965
1840368 Re: \[Acceleo\] Map data type? 2021-04-13 11:18:13 177965
1840367 \[Acceleo\] Map data type? 2021-04-13 09:50:18 177965
1838529 Re: java.lang.ClassCastException while transforming source EReference to Target ERefernce. 2021-02-27 20:14:21 8586
1838523 java.lang.ClassCastException while transforming source EReference to Target ERefernce. 2021-02-27 09:56:33 231317


Forums threads

Download: eclipse_forums_threads.csv.gz

data <- read.csv(file=file_forums_threads, header=T)

File is eclipse_forums_threads.csv, and has 8 columns for 2237 threads. A wordcloud with the main words used in threads is presented below.

The list of the 10 last active threads on the forums:

data$last.post.date <- as.POSIXct(data$last_post_date, origin="1970-01-01")
threads.table <- head(data[,c('id', 'subject', 'last.post.date', 'last_post_id', 'replies', 'views')], 10)
threads.table$subject <- paste('<a href="', threads.table$html_url, '">', threads.table$subject, '</a>', sep='')
threads.table$last.post.date <- as.character(threads.table$last.post.date)
names(threads.table) <- c('ID', 'Subject', 'Last post date', 'Last post author', 'Replies', 'Views')

print(
    xtable(threads.table,
        caption = paste('10 last active threads on', project_id, 'forum.', sep=" "),
        digits=0, align="lllllll"), type="html",
    html.table.attributes='class="table table-striped"',
    caption.placement='bottom',
    include.rownames=FALSE,
    sanitize.text.function=function(x) { x }
)
10 last active threads on modeling.m2t.acceleo forum.
ID Subject Last post date Last post author Replies Views
1107661 \[Acceleo\] Map data type? 2021-04-23 06:27:52 1840738 7 262
1107108 java.lang.ClassCastException while transforming source EReference to Target ERefernce. 2021-02-27 20:14:21 1838529 1 213
1107103 \[Acceleo\] Where to get Acceleo 4? 2021-02-27 08:15:48 1838521 3 161
1106637 \[Acceleo\] - How to bundle Acceleo with Sirius 2021-01-19 16:04:03 1836946 0 3764
1106344 Get XMI: ID of elements in sysml 2020-12-19 09:06:06 1836059 1 317
1106230 UML/Sysml Profile.. 2020-12-11 06:15:12 1835736 1 517
1106194 \[Acceleo\]\[Xbase\] Transforming Xbase expression into java 2020-12-07 05:49:11 1835563 1 247
1105844 Read Stereotype / compare Stereotype 2020-11-10 07:55:09 1834422 1 336
1105838 \[Acceleo\] Write in linked folder 2020-11-16 09:30:30 1834694 2 453
1105832 ClassNotFoundError of exception when running Acceleo in standalone mode 2020-11-10 17:58:48 1834462 3 339

Jenkins

Builds

Download: jenkins_builds.csv.gz

data <- read.csv(file=file_jenkins_builds, header=T)

File is jenkins_builds.csv, and has 7 columns for 82 commits.

ID Name Time Result
356 acceleo-aql-gerrit \#356 1.595834e+12 SUCCESS
2016-11-18\_09-47-26 acceleo-launcher-examples \#13 1.479480e+12 FAILURE
2016-06-24\_05-25-01 acceleo-launcher-examples \#12 1.466760e+12 SUCCESS
2016-06-22\_07-54-51 acceleo-launcher-examples \#11 1.466596e+12 SUCCESS
2016-04-26\_11-34-58 acceleo-launcher-examples \#10 1.461685e+12 SUCCESS
2016-04-26\_11-30-00 acceleo-launcher-examples \#9 1.461685e+12 FAILURE
2016-04-26\_11-09-43 acceleo-launcher-examples \#8 1.461683e+12 SUCCESS
2016-04-26\_09-48-13 acceleo-launcher-examples \#7 1.461678e+12 FAILURE
2016-01-27\_11-48-44 acceleo-launcher-examples \#6 1.453913e+12 SUCCESS
2016-01-27\_11-42-55 acceleo-launcher-examples \#5 1.453913e+12 FAILURE


Jobs

Download: jenkins_jobs.csv.gz

data <- read.csv(file=file_jenkins_jobs, header=T)

File is jenkins_jobs.csv, and has 15 columns for 22 commits.

Name Colour Last build time Health report
acceleo-aql-gerrit blue 1.595834e+12 100
acceleo-launcher-examples disabled 1.479480e+12 60
acceleo-maintenance-3.7 red 1.617704e+12 33
acceleo-master red 1.619245e+12 50
acceleo-master-gerrit disabled 1.421139e+12 98
juno-maven-dependencies-deploy disabled 1.424244e+12 100
kepler-maven-dependencies-deploy disabled 1.516865e+12 100
kepler-sr2-maven-dependencies-deploy disabled 1.516865e+12 100
luna-sr1-maven-dependencies-deploy disabled 1.517383e+12 100
luna-sr2-maven-dependencies-deploy disabled 1.516865e+12 100


PMI

PMI Checks

Download: eclipse_pmi_checks.csv.gz

data <- read.csv(file=file_pmi_checks, header=T)

File is eclipse_pmi_checks.csv, and has 3 columns for 17 commits.

checks.table <- head(data[,c('Description', 'Value', 'Results')], 10)

print(
    xtable(checks.table,
        caption = paste('Extract of the 10 first PMI checks for ', 
                        project_id, '.', sep=" "),
        digits=0, align="llll"), type="html",
    html.table.attributes='class="table table-striped"',
    caption.placement='bottom',
    include.rownames=FALSE,
    sanitize.text.function=function(x) { x }
)
Extract of the 10 first PMI checks for modeling.m2t.acceleo .
Description Value Results
Checks if the URL can be fetched using a simple get query. https://bugs.eclipse.org/bugs/enter\_bug.cgi?product=M2T OK: Create URL could be successfully fetched.
Checks if the URL can be fetched using a simple get query. https://bugs.eclipse.org/bugs/buglist.cgi?product=M2T OK: Query URL could be successfully fetched.
Sends a get request to the given CI URL and looks at the headers in the response (200 404..). Also checks if the URL is really a Hudson instance (through a call to its API). Failed: could not get CI URL \[\].
Checks if the Dev ML URL can be fetched using a simple get query. https://dev.eclipse.org/mailman/listinfo/m2t-dev OK: Dev ML URL could be successfully fetched.
Checks if the URL can be fetched using a simple get query. Failed: no URL defined for documentation\_url.
Checks if the URL can be fetched using a simple get query. http://www.eclipse.org/modeling/m2t/downloads/ OK: Download URL could be successfully fetched.
Checks if the Forums URL can be fetched using a simple get query. http://www.eclipse.org/forums/eclipse.modeling.m2t OK. Forum \[eclipse.modeling.m2t\] correctly defined.\\OK: Forum \[eclipse.modeling.m2t\] URL could be successfully fetched.
Checks if the URL can be fetched using a simple get query. http://www.eclipse.org/m2t/docs.html OK: Documentation URL could be successfully fetched.
Checks if the Mailing lists URL can be fetched using a simple get query. Failed: no mailing list defined.
Checks if the URL can be fetched using a simple get query. http://www.eclipse.org/modeling/m2t/project-info/plan-helios.xml OK: Plan URL could be successfully fetched.

ScanCode

Authors

Download: scancode_authors.csv.gz

data <- read.csv(file=file_sc_authors, header=T)

File is scancode_authors.csv, and has 2 columns for 5 commits.

Author Count
unknown 4923
Yvan Lussaud 124
Florent Latombe 41
content Acceleo 2
Romain Guider 1
suppressPackageStartupMessages(library(googleVis))
options(gvis.plot.tag='chart')

data.sorted <- data[order(data$count, decreasing = T),]

p <- gvisPieChart(data.sorted,
              options = list(
                title=paste("Authors for project ", project_id, " ", sep=""),
                sliceVisibilityThreshold=0, height=280,
                pieHole= 0.4))

print(p, 'chart')


Copyrights

Download: scancode_copyrights.csv.gz

data <- read.csv(file=file_sc_copyrights, header=T)

File is scancode_copyrights.csv, and has 2 columns for 7 commits.

Copyrights Count
unknown 3872
Copyright (c) Obeo 1168
Copyright (c) Obeo, France 15
Copyright Twitter, Inc 13
Copyright (c) Obeo and others 2
Copyright The Dojo Foundation 2
Copyright John Resig 1
suppressPackageStartupMessages(library(googleVis))
options(gvis.plot.tag='chart')

data.sorted <- data[order(data$count, decreasing = T),]

p <- gvisPieChart(data.sorted,
              options = list(
                title=paste("Copyrights for project ", project_id, " ", sep=""),
                sliceVisibilityThreshold=0, height=280,
                pieHole= 0.4))

print(p, 'chart')


Holders

Download: scancode_holders.csv.gz

data <- read.csv(file=file_sc_holders, header=T)

File is scancode_holders.csv, and has 2 columns for 8 commits.

Holders Count
unknown 3872
Obeo 1167
Obeo, France 15
Twitter, Inc 13
Obeo and others 2
The Dojo Foundation 2
John Resig 1
Obeo. .append(LS) buffer.append 1
suppressPackageStartupMessages(library(googleVis))
options(gvis.plot.tag='chart')

data.sorted <- data[order(data$count, decreasing = T),]

p <- gvisPieChart(data.sorted,
              options = list(
                title=paste("Holders for project ", project_id, " ", sep=""),
                sliceVisibilityThreshold=0, height=280,
                pieHole= 0.4))

print(p, 'chart')


Licences

Download: scancode_licences.csv.gz

data <- read.csv(file=file_sc_licences, header=T)

File is scancode_licences.csv, and has 2 columns for 11 commits.

Licence Count
unknown 3823
epl-1.0 1221
cpl-1.0 AND other-permissive 38
apache-2.0 13
mit 10
epl-1.0 OR bsd-new 3
epl-2.0 1
epl-2.0 OR apache-2.0 1
mit OR bsd-new OR gpl-1.0-plus 1
mit OR bsd-new OR gpl-2.0 1
suppressPackageStartupMessages(library(googleVis))
options(gvis.plot.tag='chart')

p <- gvisPieChart(data,
              options = list(
                title=paste("Licences for project ", project_id, " ", sep=""),
                sliceVisibilityThreshold=0, height=280,
                pieHole= 0.4))

print(p, 'chart')


Programming Languages

Download: scancode_programming_languages.csv.gz

data <- read.csv(file=file_sc_pl, header=T)

File is scancode_licences.csv, and has 2 columns for 10 commits.

Programming Language Count
unknown 3920
Java 1008
HTML 51
Python 26
Objective-C 9
ActionScript 3 6
CSS 4
PHP 3
JavaScript 2
VB.net 1
suppressPackageStartupMessages(library(googleVis))
options(gvis.plot.tag='chart')

p <- gvisPieChart(data,
              options = list(
                title=paste("Programming languages for project ", project_id, " ", sep=""),
                sliceVisibilityThreshold=0, height=280,
                pieHole= 0.4))

print(p, 'chart')


Special files

Download: scancode_special_files.csv.gz

data <- read.csv(file=file_sc_sf, header=T)

File is scancode_special_files.csv, and has 2 columns for 91 commits.

Holders Type
pom.xml manifest
features/org.eclipse.acceleo.aql.feature/pom.xml manifest
features/org.eclipse.acceleo.aql.launcher-feature/pom.xml manifest
features/org.eclipse.acceleo.aql.migration-feature/pom.xml manifest
features/org.eclipse.acceleo.ui.interpreter-feature/pom.xml manifest
plugins/org.eclipse.acceleo.aql/pom.xml manifest
plugins/org.eclipse.acceleo.aql/META-INF/MANIFEST.MF manifest
plugins/org.eclipse.acceleo.aql.doc/pom.xml manifest
plugins/org.eclipse.acceleo.aql.doc/META-INF/MANIFEST.MF manifest
plugins/org.eclipse.acceleo.aql.edit/pom.xml manifest