2015 FLOSS Community Metrics
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My talk at 2015 FOSS Community Metrics. Overview of the dangers of certain metrics about open source communities, Liferay's methodology used to select, track, and act on, and what we're doing in the future,
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Crunching the numbers: Open Source Community Metrics at OSCON
Co-presented with Dave Neary at OSCON 2011.
Every community manager knows that community metrics are important, but how do you come up with a plan and figure out what you want to measure? Most community managers have their own set of hacky scripts for extracting data from various sources after they decide what metrics to track. There is no standardised Community Software Dashboard you can use to generate near-real-time stats on your community growth.
Like most open source projects, we have diverse community infrastructure for MeeGo, including Mailman, Drupal, Mediawiki, IRC, git, OpenSuse Build Service, Transifex and vBulletin. We wanted to unify these sources together, extract meaningful statistics from the data we had available to us, and present it to the user in a way that made it easy to see if the community was developing nicely or not.
Building on the work of Pentaho, Talend, MLStats, gitdm and a host of others, we built a generic and open source community dashboard for the MeeGo project, and integrated it into the website. The project was run in the open at http://wiki.meego.com/Metrics/Dashboard and all products of the project are available for reuse.
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http://indico.cern.ch/conferenceDisplay.py?confId=101453
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Open source software provides a community-based approach to software development where anyone can modify and distribute code. This is unlike proprietary software where intellectual property restrictions apply. Some key benefits of open source software include lower costs since it is often free, avoidance of vendor lock-in, flexibility in deployment without licensing restrictions, and adaptability to customize features to specific needs. Open source software also faces less risk of obsolescence since the community continues to develop and improve it over time.
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Audience was small and the presenter knew the audience so please forgive the jabs at Unity and Gnome3, may want to remove them for more diverse audiences :)
Open source community metrics
The best thing about open source projects is that you have all of your community data in the public at your fingertips. You just need to know how to gather the data about your open source community so that you can hack it all together to get something interesting that you can really use. We’ll start with some general guidance for coming up with a set of metrics that makes sense for your project. The focus of the session will be on tips and techniques for collecting metrics from tools commonly used by open source projects: Bugzilla, MediaWiki, Mailman, IRC and more. It will include both general approaches and technical details about using various data collection tools, like mlstats. The final section of the presentation will talk about techniques for sharing this data with your community and highlighting contributions from key community members. For anyone who loves playing with data as much as I do, metrics can be a fun way to see what your community members are really doing in your open source project.
Open Source is Not An Alternative, It is The Solution
Open source is a viable business model for companies. It allows businesses to benefit from free or low-cost open source software while also making money in other ways like support contracts, training, and dual licensing models where a free open source license and a paid license are both offered. Open source businesses build their asset in community goodwill and brand reputation rather than lock-in from proprietary software licenses.
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The document discusses open source and Java. It provides an introduction to open source software, noting that it allows access to source code and the ability to modify, learn from, and distribute the software freely. It then discusses Java, describing it as a programming language, virtual machine, and platform. Finally, it briefly demonstrates some open source Java tools and frameworks, including LWUIT, Android, JavaFX, AppFuse, and resources from the Java User Group Indonesia.
Recommended
Crunching the numbers: Open Source Community Metrics at OSCON
Co-presented with Dave Neary at OSCON 2011.
Every community manager knows that community metrics are important, but how do you come up with a plan and figure out what you want to measure? Most community managers have their own set of hacky scripts for extracting data from various sources after they decide what metrics to track. There is no standardised Community Software Dashboard you can use to generate near-real-time stats on your community growth.
Like most open source projects, we have diverse community infrastructure for MeeGo, including Mailman, Drupal, Mediawiki, IRC, git, OpenSuse Build Service, Transifex and vBulletin. We wanted to unify these sources together, extract meaningful statistics from the data we had available to us, and present it to the user in a way that made it easy to see if the community was developing nicely or not.
Building on the work of Pentaho, Talend, MLStats, gitdm and a host of others, we built a generic and open source community dashboard for the MeeGo project, and integrated it into the website. The project was run in the open at http://wiki.meego.com/Metrics/Dashboard and all products of the project are available for reuse.
This presentation will cover the various metrics we wanted to measure, how we extracted the data from a diverse set of services to do it, and more importantly, how you can do it too.
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Dr. Matthias Stürmer, Ernst & Young AG
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Workshop on Open Source Software with Technology Transfer Perspective
http://indico.cern.ch/conferenceDisplay.py?confId=101453
Benefits of using open source software (oss)
Open source software provides a community-based approach to software development where anyone can modify and distribute code. This is unlike proprietary software where intellectual property restrictions apply. Some key benefits of open source software include lower costs since it is often free, avoidance of vendor lock-in, flexibility in deployment without licensing restrictions, and adaptability to customize features to specific needs. Open source software also faces less risk of obsolescence since the community continues to develop and improve it over time.
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Open source community metrics
The best thing about open source projects is that you have all of your community data in the public at your fingertips. You just need to know how to gather the data about your open source community so that you can hack it all together to get something interesting that you can really use. We’ll start with some general guidance for coming up with a set of metrics that makes sense for your project. The focus of the session will be on tips and techniques for collecting metrics from tools commonly used by open source projects: Bugzilla, MediaWiki, Mailman, IRC and more. It will include both general approaches and technical details about using various data collection tools, like mlstats. The final section of the presentation will talk about techniques for sharing this data with your community and highlighting contributions from key community members. For anyone who loves playing with data as much as I do, metrics can be a fun way to see what your community members are really doing in your open source project.
Open Source is Not An Alternative, It is The Solution
Open source is a viable business model for companies. It allows businesses to benefit from free or low-cost open source software while also making money in other ways like support contracts, training, and dual licensing models where a free open source license and a paid license are both offered. Open source businesses build their asset in community goodwill and brand reputation rather than lock-in from proprietary software licenses.
Open Source And Java
The document discusses open source and Java. It provides an introduction to open source software, noting that it allows access to source code and the ability to modify, learn from, and distribute the software freely. It then discusses Java, describing it as a programming language, virtual machine, and platform. Finally, it briefly demonstrates some open source Java tools and frameworks, including LWUIT, Android, JavaFX, AppFuse, and resources from the Java User Group Indonesia.
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Slide deck from my September 2014 talk @ FOSSETCON in Orlando, FL.
Abstract: There is no shortage of algorithms, techniques, and software to produce virtually any metric one may desire. Too often, projects concentrate on vanity metrics that may make the project look good, or the CEO happy, but hides the true nature of the community and how it is evolving. True value is only realized when metrics are chosen that most closely align with a project's goals.
These slides were presented as part of a session whose goal was to: learn which goals and resulting metrics we chose to track and respond to in the Liferay project (a large, open source portal project), why they were (and continue to be) important, how they are produced, and what we are doing with them.
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This document discusses social media metrics and analytics. It defines key metrics like followers, likes, and interactions that are used to measure social media performance. It also covers various tools to analyze social media data from platforms like Facebook, Twitter, and YouTube. These tools provide insights into user demographics, popular posts, and influence of different account types. Network analysis is also discussed as a way to map relationships and identify influential opinion leaders within social media communities.
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This document discusses social media metrics and analytics. It defines key metrics like followers, likes, and interactions that are used to measure social media performance. It also covers various tools to analyze social media data like Facebook Insights, Tweet Analytics, and Klout which measure influence. Word clouds and network analyses are discussed as ways to understand social media users and identify opinion leaders within social networks.
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This document discusses social media metrics and analytics. It describes how digital interactions leave data trails and how platforms like Facebook, Instagram, and Snapchat track user engagement. It explains how application programming interfaces allow data sharing across social media and how algorithms organize user groups. Some early social media metrics included followers, popularity, likes, and interactions. Examples are given of social media dashboards and analytics tools that track metrics like posts, audiences, and content performance. The roles of influencers and opinion leaders are discussed, and how centrality in social networks can increase one's ability to spread ideas.
What social metrics should organizations measure and optimize
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00:49 Spotlight on Event Partner: Funding the Commons
03:26 Introduction to Speakers and Their Innovations
04:31 Deep Dive into Open Source Observer with Raymond Cheng
13:59 Exploring Hypercerts with Ken Beckers
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BROWSE - DWeb explainer documents and guides for civil society:
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https://events.techsoup.org/e/m4gprj/
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Brian Randell described software engineering as “the multi-person development of multi-version programs”. David Parnas has expressed that this “pithy phrase implies everything that differentiates software engineering from other programming”. How does current software engineering research compare against this definition? Is there currently too much focus on research into problems and techniques more associated with programming than software engineering? Are there opportunities to use Randell’s description of software engineering to guide the community to new research directions? In this talk, I will explore these questions and discuss how a consideration of the development streams used by multiple individuals to produce multiple versions of software opens up new avenues for impactful software engineering research.
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In questo webinar uno dei Security Expert di Emerasoft illustra:
- i risultati di un’analisi approfondita relativa all’utilizzo dei componenti Open Source in ben 106.000 aziende;
- i principi utili che scaturiscono dalle analogie esistenti tra la Supply Chain del software e le tradizionali filiere manifatturiere;
- le best practice per migliorare la velocità, l’efficienza e la qualità della Supply Chain del software.
Segui il webinar on demand: https://www.youtube.com/watch?v=3w_1EAxkfYUScale14x Patterns and Practices for Open Source Project Success
There are two parts to the “success” of an open source software project:
Deployment growth: One publishes software to see it used. As the software is used, it reflects the dynamic nature of software, and is used in new ways to solve new problems. This leads to the second part of the success formula -- contributions.
Contribution flow: A free or open source software project is at it’s simplest a discussion in software, and without contributions the conversation fades and fails. From a more complex community perspective, a FOSS project is about the economics of collaborative innovation and development. Without a continuous contribution flow, the dynamic aspect of a software project will become static and brittle and lose its relevancy.
There are three on ramps to be built to drive the success of an open source project: Bringing new users to the project, enabling developers, and encouraging contributors. This talk looks at how these on ramps can be organized to drive growth and adoption, and to grow a successful and vibrant community around an open source project.
The talk was delivered at SCaLE 14x: https://www.socallinuxexpo.org/scale/14x/presentations/patterns-and-practices-open-source-project-success
[SiriusCon 2018] Closing session - Live Community Survey
SiriusCon 2018 -Talk by Pierre-Charles David, Obeo & Stéphane Bégaudeau, Obeo
Community Survey: Your Opinion Matters, Get Involved in Sirius Future!
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Advancing Impact Measurement | Public Good App House
Join us for an important discussion with three distinguished experts who are pioneering new approaches to impact assessment and funding:
💡 Raymond Cheng, Co-Founder of Open Source Observer: This free analytics suite offers a promising model for measuring the impact of contributions to the health of an ecosystem, with potential applications for nonprofit projects.
💡 Ken (bitbeckers) Beckers of Hypercerts: This protocol aims to streamline the process of funding and rewarding positive impact through a shared, decentralized database for impact claims and funding mechanisms.
💡 Laura (LauNaMu) Navarro, Founder of Metrics Garden Labs: By developing tools to measure the "soft" contributions of a community beyond code, Metrics Garden Labs is exploring new dimensions of impact assessment.
This webinar will:
👉 Engage with leading experts and gain valuable insights into new strategies and mechanisms that are advancing impact measurement.
👉 See demonstrations of the latest tools and methods being developed to measure and enhance the impact of public good projects.
👉 Connect with a diverse community of nonprofits, developers, and open source enthusiasts, fostering meaningful collaborations and exchanges of ideas.
As we strive to create a more just and equitable world, it is essential that we work together to find better ways of evaluating and supporting the vital work done by nonprofits and public good technologists.
Video: https://youtu.be/4kLsZK3wK2Q
CHAPTERS
00:00 Opening Remarks and How to Engage
00:21 Introducing TechSoup and Its Mission
00:49 Spotlight on Event Partner: Funding the Commons
03:26 Introduction to Speakers and Their Innovations
04:31 Deep Dive into Open Source Observer with Raymond Cheng
13:59 Exploring Hypercerts with Ken Beckers
22:38 Evaluators in the Ecosystem: The Role and Impact
23:37 Introducing Funders to Validated Claims
24:10 VoiceDeck: A Marketplace for Journalistic Impact in India
26:29 Impact Garden: Standardizing Impact Data
35:05 Q&A Session: Insights on Impact Evaluation and Funding
CONTINUE LEARNING & BUILDING - Accelerating Makers is helping technology builders and nonprofits co-create purpose-built tools for public good: https://AcceleratingMakers.PublicGoodAppHouse.org
BROWSE - DWeb explainer documents and guides for civil society:
https://acceleratingmakers.publicgoodapphouse.org/resources
ATTEND - Live tech events for makers and nonprofit Leaders: https://events.techsoup.org/public-good-app-house/
This event is supported by an award from the Filecoin Foundation for the Decentralized Web.
Hosted by TechSoup on May 23, 2024.
https://events.techsoup.org/e/m4gprj/
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2015 FLOSS Community Metrics
- 1. liferay community metrics james falkner liferay community @schtool 2015 FLOSS Community Metrics
- 3. liferay community 13 years 4.3M LOC 140k registered site members 102 external contributors in 2014 150 SI partners 5M downloads 1200 marketplace developers 43 user groups 114 translators for 43 languages 300k forum posts (~100/day) 25k forum participants 2 Top 50 github devs ( , ) #5 #45
- 4. body count
- 5. downloads Exploded Eclipse Plugins added to SourceForge
- 7. Ø identified metrics goals Ø searched our feelings Ø decided what to measure Ø defined success/fail actions how we developed metrics
- 8. liferay community metric goal #1: increase the value of participation & contribution
- 10. liferay community metric goal #2: Measure the effect of business decisions
- 13. liferay community metric goal #3: understand the relationship between community metrics and business performance
- 16. basic 1st-order metrics for the liferay community # of apps/reviews # of pull requests # of commits/lines # of authors # of bug reports # of forum posts # of downloads # open tickets / code reviews
- 17. 1st Order Metrics WE DON’T REPORT THEM
- 18. more interesting 2nd-order metrics non-liferay vs.liferay time between contribution->codebase location of community members evolution of contributor age over time evolution of active/inactive users time of bug report -> fixed time from forum q to a # ignored/unanswered messages # of abandoned code reviews distribution & evolution of commits across functional areas
- 19. for each metric… Ø How accurate is it? Ø Does it help achieve goals? Ø What to do when it turns good/bad? Ø What is its relationship to others?
- 22. newbie: 0-5 posts,0 answers,1 download,1 fork,… junior: 20 posts,10% engaged,>1 patch,5 tweets,1 app senior: 50 posts,30% engaged,10 tweets,5 apps,moderator, … champion: 100 posts, 50% engaged, bugsquad,…
- 23. summary identify values and goals decide actions ahead of time assume inaccuracies experiment & evolve avoid focusing on vanity metrics
- 24. thank you! james falkner liferay community @schtool 2015 FLOSS Community Metrics