Creating change from within - DevReach 2012

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Dror Helper

Session from DevReach 2012 on how to facilitate change in a waterfall organization.

Technology

Create change from within –
the Agile Developer’s story

Dror Helper | Better Place

About.Me
• Software Developer 9+ years

• Team’s technical lead

• TDD/Unit testing enthusiast

• Some SCRUM/Kanban background

• Blogger – http://blog.drorhelper.com

www.devreach.com

The problem with Agile

We don’t have time
It would never
work in this I don’t want to do this!
project

www.devreach.com

What can one person do?

www.devreach.com

My team 2010
• One manager + 3 developers

• Unit tests – more or less
• Iteration tracking ?
• Manual deployment
• Code reviews

www.devreach.com

My 1st week on the job

www.devreach.com

Step #1 - Analysis
• Took two days to fix 40% of tests

• Find what are the main issues – and focus on them
– Not readable
– Using logic inside test
– Testing too much
– Hand rolled mocks
– Scenarios hiding as unit tests
– Highly coupled code

www.devreach.com

Step #2 – CI Server
Build Server

What’s new?

Commit
There you go

Source Control

www.devreach.com Build Agents

Step #3 - Teach the team

www.devreach.com

Communicate!
• Email
• Phone call
• Face to face
• Presentation
• Code reviews
• Pair programming
• Daily meetings

www.devreach.com

Immediate steps
• MSTest

• Write new test before fixing bug

• Fix existing tests when implementing new features

• Delete obsolete tests

www.devreach.com

Change is iterative
• Hard to perform big changes overnight

• Small incremental changes

www.devreach.com

Today
• More than 5000 tests

• Good code coverage

• Most features are developed using TDD

• CI server run all tests on commit

• Nightly builds

• Change code without fear

www.devreach.com

DECIDING WHAT TO CHANGE

www.devreach.com

Passion is a must!
• Become champion

• Need to convince co-workers

• Survive the road

www.devreach.com

The cost of change
Participants

Maintenance Effort (Time)

Cost of
Change
Emotional
Cost (Money)
Value

Previous
investment

www.devreach.com

Demonstration > Discussion

www.devreach.com

Individual task boards

www.devreach.com

Be pragmatic
• Every action should have a purpose
• If it doesn’t work – change it!
• Names are not important – just what
you do
• Practices can be adapted for the team

Know where to draw the
line
www.devreach.com

TFS + Work item manager

www.devreach.com

What to when change fails?

Understand why it failed
Wait and see
Choose a different path
Cut your losses
www.devreach.com

The right attitude
• Be positive

• Don’t tell them what to so - suggest
improvements

• Don’t force – convince

• Be ready to change if proven wrong

www.devreach.com

Enlist help
Because You cannot do it all by yourself

www.devreach.com

Journey not a destination

www.devreach.com

Thank you!
@dhelper
http://blog.drorhelper.com/
http://www.linkedin.com/in/drorhelper

Dror Helper | Better Place

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Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Miguel Araújo

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

This presentation explores the impact of HTML injection attacks on web applications, detailing how attackers exploit vulnerabilities to inject malicious code into web pages. Learn about the potential consequences of such attacks and discover effective mitigation strategies to protect your web applications from HTML injection vulnerabilities. for more information visit https://bostoninstituteofanalytics.org/category/cyber-security-ethical-hacking/

HTML Injection Attacks: Impact and Mitigation Strategies

Boston Institute of Analytics

Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

A Year of the Servo Reboot: Where Are We Now?

Igalia

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

Artificial Intelligence Chap.5 : Uncertainty

Khushali Kathiriya

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

🐬 The future of MySQL is Postgres 🐘

RTylerCroy

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

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Creating change from within - DevReach 2012

1. Create change from within – the Agile Developer’s story Dror Helper | Better Place

2. About.Me • Software Developer 9+ years • Team’s technical lead • TDD/Unit testing enthusiast • Some SCRUM/Kanban background • Blogger – http://blog.drorhelper.com www.devreach.com

3. The problem with Agile We don’t have time It would never work in this I don’t want to do this! project www.devreach.com

4. What can one person do? www.devreach.com

5. My team 2010 • One manager + 3 developers • Unit tests – more or less • Iteration tracking ? • Manual deployment • Code reviews www.devreach.com

6. My 1st week on the job www.devreach.com

7. LET’S DO TDD! www.devreach.com

8. Step #1 - Analysis • Took two days to fix 40% of tests • Find what are the main issues – and focus on them – Not readable – Using logic inside test – Testing too much – Hand rolled mocks – Scenarios hiding as unit tests – Highly coupled code www.devreach.com

9. Step #2 – CI Server Build Server What’s new? Commit There you go Source Control www.devreach.com Build Agents

10. Step #3 - Teach the team www.devreach.com

11. Communicate! • Email • Phone call • Face to face • Presentation • Code reviews • Pair programming • Daily meetings www.devreach.com

12. The power of code reviews

13. Immediate steps • MSTest • Write new test before fixing bug • Fix existing tests when implementing new features • Delete obsolete tests www.devreach.com

14. Change is iterative • Hard to perform big changes overnight • Small incremental changes www.devreach.com

15. Today • More than 5000 tests • Good code coverage • Most features are developed using TDD • CI server run all tests on commit • Nightly builds • Change code without fear www.devreach.com

16. DECIDING WHAT TO CHANGE www.devreach.com

17. Passion is a must! • Become champion • Need to convince co-workers • Survive the road www.devreach.com

18. The cost of change Participants Maintenance Effort (Time) Cost of Change Emotional Cost (Money) Value Previous investment www.devreach.com

19. Create success record www.devreach.com

20. ITERATION TRACKING www.devreach.com

21. In the beginning…

22. Post it + wall www.devreach.com

23. Demonstration > Discussion www.devreach.com

24. Individual task boards www.devreach.com

25. Be pragmatic • Every action should have a purpose • If it doesn’t work – change it! • Names are not important – just what you do • Practices can be adapted for the team Know where to draw the line www.devreach.com

26. TFS + Work item manager www.devreach.com

27. What to when change fails? Understand why it failed Wait and see Choose a different path Cut your losses www.devreach.com

28. TIPS AND TRICKS www.devreach.com

29. The right attitude • Be positive • Don’t tell them what to so - suggest improvements • Don’t force – convince • Be ready to change if proven wrong www.devreach.com

30. Don’t be “that guy” www.devreach.com

31. Enlist help Because You cannot do it all by yourself www.devreach.com

32. Journey not a destination www.devreach.com

33. Thank you! @dhelper http://blog.drorhelper.com/ http://www.linkedin.com/in/drorhelper Dror Helper | Better Place

Editor's Notes

Teach best practices – in the right contextTrack progressFind common issuesAlso pair programming – although I found that managers are more likely to
Impossible to convince
We had nothing
Show then let them decideJust do it!

Creating change from within - DevReach 2012

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Editor's Notes