Monitoring As A Service - Modernity and Self-Service CraftConf 2016
Visualizing code bases for CraftConf 2016 / Full Stack Meetup Budapest
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Transcript of Visualizing code bases for CraftConf 2016 / Full Stack Meetup Budapest
01
Hello!
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About me03
Andrey AdamovichJava/Groovy developer
DevOps guy, automation junkie
Coauthor of Groovy 2 Cookbook
Coorganizer of @latcraft and @devternity
Coach at @devchampions
Twitter: @codingandrey
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Let's start!05
BackgroundFind new clients
Face big code bases
Need quick analysis
Need quick results
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Code sizeGoogle: 2 billions LOC
Facebook: 61 million LOC
Me: from 20K to 2M LOC
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I hate reading...
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Reading the codeI want this to work
This just works
Working is the definition of this block
Work! You, stupid!
The work should be here
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It's life, Jim, but not as we know it!
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Code is data!11
Well, big data12
Snapshot
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Temporal
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First steps15
Count thelines!
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Size does matterGives you an estimate (on how much reading is needed).
Most of the code bases are polyglot. Ratio between languages can
tell something.
Ratio between test code, comments, blank lines is also interesting.
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cloc
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Usagecloc ‐‐help
cloc ‐‐write‐lang‐def=lang.defs
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Usagecloc ‐‐csv
‐‐quite
‐‐progress‐rate=0
‐‐ignored=files.ignored
‐‐exclude‐dir=test,build
‐‐read‐lang‐def=lang.defs
‐‐out=data.csv
.
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Language definitionsGradle
filter remove_matches ^\s*//
filter remove_inline //.*$
filter call_regexp_common C
extension gradle
3rd_gen_scale 4.10
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Where are thepictures?
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We havestats, let'splot them!
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Excel?Probably not.
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Pie charts areboring!
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Infographics!26
d3.js
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d3.jsJavascript library for data visualizations
Tons of examples
Many libraries built on top of d3.js
Several books
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Example29
Demo30
Many alternativesvis.js
raphael.js
sigma.js
many, many, many more
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Tableau Public
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Tableau Public
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Tableau Public
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infogr.am
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infogr.am
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Temporalanalysis
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GitHub
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GitHub
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FishEye
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GourceSoftware projects are displayed by Gource as an animated tree with
the root directory of the project at its centre.
Directories appear as branches with files as leaves.
Developers can be seen working on the tree at the times they
contributed to the project.
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Launch gourcegource ‐s 0.1 ‐1280x720
gource ‐‐output‐custom‐log log1.txt
gource ‐s 0.1 ‐1280x720 log1.txt
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Log format1444125624|Luke Daley|M|/ratpack‐core/.../WiretapPublisher.java
1444125624|Luke Daley|M|/ratpack‐core/.../YieldingPublisher.java
1444306114|Stian Lindhom|M|/ratpack‐manual/.../13‐http.md
1444312172|Andrey Antukh|M|/ratpack‐core/.../WebSocketEngine.java
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Demo44
Code MaatCode Maat is a command line tool used to mine and analyze data from
versioncontrol systems“45
Launch Maatgit log ‐‐pretty=format:'[%h] %aN %ad %s' \
‐‐date=short ‐‐numstat ‐‐after=YYYY‐MM‐DD
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Launch Maatmaat ‐l git.log ‐c git ‐a summary
maat ‐l ratpack_evo.log ‐c git ‐a revisions > ratpack_freqs.csv
python scripts/merge_comp_freqs.py ratpack_freqs.csv ratpack_lines.csv
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Analysis typesabschurn, age, authorchurn, authors, communication, coupling,
entitychurn, entityeffort, entityownership, fragmentation, identity,
maindev, maindevbyrevs, messages, refactoringmaindev,
revisions, soc, summary
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Demo49
Let's talk bigdata
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ElasticSearchDistributed, scalable, and highly available
Realtime search and analytics capabilities
Sophisticated RESTful API
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Index data$ curl ‐XPUT 'http://localhost:9200/gitlog/commit/123345' ‐d '{
"commitId" : "123345",
"timestamp" : "2009‐11‐15T14:12:12",
"message" : "git into es"
}'
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KibanaFlexible analytics and visualization platform
Realtime summary and charting of streaming data
Intuitive interface for a variety of users
Instant sharing and embedding of dashboards
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Kibana54
Tag Cloudkibana plugin ‐i tagcloud \
‐u https://github.com/stormpython/tagcloud/archive/master.zip
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Demo56
Structure57
Structure101
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Demo59
Graphs are everywhere!
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jQAssistantjQAssistant is a QA tool which allows the definition and validation of
project specific rules on a structural level.
It is built upon the graph database Neo4j and can easily be plugged
into the build process to automate detection of constraint violations
and generate reports about user defined concepts and metrics.
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Query your codeMATCH
(class:Class)‐[:DECLARES]‐>(method:Method)
RETURN
class.fqn, count(method) as Methods
ORDER BY
Methods DESC
LIMIT 20
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neo4j
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Demo64
That's it!65
ConclusionExtract data from your code!
Visualize it!
Search for new facts and knowledge!
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Readingmaterial
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Your Code as a Crime Scene
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Metrics and Models in SQE
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Software Metrics and Metrology
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D3 Cookbook
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D3 Tips & Tricks
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Links: imageshttp://abstrusegoose.com/432
http://camarenaphoto.tumblr.com/post/112238079516/itslifejimbut
notasweknowitspock
http://technology.ie/bigdatalookslike/
http://www.informationisbeautiful.net/visualizations/millionlinesof
code/
http://githut.info/
http://emmanueloga.com/2013/10/07/GraphsareEverywhereAn
overviewofGraphConnectSanFrancisco2013.html
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Links: toolshttps://github.com/AlDanial/cloc
http://gource.io/
http://wettel.github.io/codecitywof.html
https://github.com/adamtornhill/codemaat
http://d3js.org/
http://visjs.org/
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Links: toolshttp://www.sonarqube.org/
https://www.atlassian.com/pt/software/fisheye/overview
https://www.elastic.co/products/elasticsearch
https://www.elastic.co/products/kibana
http://jqassistant.org/
http://neo4j.com/
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Links: toolshttps://github.com/ThoughtWorksStudios/saikuro_treemap
https://www.youtube.com/watch?v=iiIytERhV9o••
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Köszönöm!77
Thank you!78
Questions?79