Inside JIRA Bug Processes: JIRA Best Practices

•

9 likes•11,173 views

colleenfry

Technology News & Politics

Inside JIRA Bug Processes
AND SOME JIRA BEST PRACTICES

Eric Dalgliesh

•

JIRA Team Lead

•

Atlassian

•

@ericdalgliesh

Overview
• JIRA’s triage process
• JIRA’s warranty bug process
• How we prioritize bugs
• JIRA’s QA processes
• JIRA’s workﬂow

Bugmaster: a single
developer responsible for
the management of bugs

A bug
• An error producing an unintended effect

A bug
• An error producing an unintended effect
• After JIRA is released

A bug
• An error producing an unintended effect
• After JIRA is released
• Generally excluding poor design

A bug
• An error producing an unintended effect
• After JIRA is released
• Generally excluding poor design
• Or anything else we want to call a bug

Not quite features; not
quite a bugs: fugs.

Triage
• Every day
• All new and updated bugs
• Focus on rapid response

Classification
• Components
• The area of the code base affected
• Labels
• The people who care about the issue
• Metadata

Public tracker
• Conversations
• Customer feedback
• Set expectations

“

If you fix this I will make all

”

your dreams come true.

Warranty bugs
• Faster to ﬁx
• Raises new feature quality
• Developers responsible for quality
• Gives bugﬁx budget back to feature teams

Prioritization
• Keep our goals in
mind

Severe
customer
impact

Purchase and
Upgrade

Creeping
normalcy

High support
costs

Affecting
many
customers

Alternating theme work
• Retain some time for urgent work
• Work on themes to tackle hard problems

JIRA 5.2.x

JIRA 6.0.x
LDAP

High impact
&
urgent bugs

JIRA 6.1.x
Search

Work allocation
• Match ﬁx-rate to demand
• Fix in as few versions as possible
• Balance urgency and efficiency

Summary
• Triage daily
• Know why you’re ﬁxing bugs
• Quality should belong to the developers
• Bug and story processes can differ
• Make it easy to give feedback
• Listen to that feedback

Thank you!
Eric Dalgliesh

•

JIRA Team Lead

•

Atlassian

•

@ericdalgliesh

Rate this Talk
Inside JIRA Bug Processes: JIRA Best Practices
Text code below to 22333
or visit http://bit.ly/197jucS
MEH = 2Z
NO T BA D = 30
P R ET T Y GO O D = 31
A WES O ME = 32

To join this session, send text 136888 to

Recently uploaded

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

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

Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Enterprise Knowledge

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

Principled Technologies

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

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

What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

HampshireHUG

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

apidays

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Greater Kailash - I Women Seeking Men

Delhi Call girls

Scaling API-first – The story of a global engineering organization

Radu Cotescu

Presentation on how to chat with PDF using ChatGPT code interpreter

naman860154

🐬 The future of MySQL is Postgres 🐘

RTylerCroy

The 7 Things I Know About Cyber Security After 25 Years | April 2024

Rafal Los

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

Enterprise Knowledge

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men

Delhi Call girls

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

Recently uploaded (20)

A Domino Admins Adventures (Engage 2024)

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

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Boost PC performance: How more available memory can improve productivity

Axa Assurance Maroc - Insurer Innovation Award 2024

Artificial Intelligence: Facts and Myths

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

08448380779 Call Girls In Greater Kailash - I Women Seeking Men

Scaling API-first – The story of a global engineering organization

Presentation on how to chat with PDF using ChatGPT code interpreter

🐬 The future of MySQL is Postgres 🐘

The 7 Things I Know About Cyber Security After 25 Years | April 2024

Data Cloud, More than a CDP by Matt Robison

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men

GenCyber Cyber Security Day Presentation

How to Troubleshoot Apps for the Modern Connected Worker

Inside JIRA Bug Processes: JIRA Best Practices

2. Inside JIRA Bug Processes AND SOME JIRA BEST PRACTICES Eric Dalgliesh • JIRA Team Lead • Atlassian • @ericdalgliesh

3. Overview • JIRA’s triage process • JIRA’s warranty bug process • How we prioritize bugs • JIRA’s QA processes • JIRA’s workﬂow

4. Bugmaster: a single developer responsible for the management of bugs

5. A bug • An error producing an unintended effect

6. A bug • An error producing an unintended effect • After JIRA is released

7. A bug • An error producing an unintended effect • After JIRA is released • Generally excluding poor design

8. A bug • An error producing an unintended effect • After JIRA is released • Generally excluding poor design • Or anything else we want to call a bug

9. Not quite features; not quite a bugs: fugs.

10.

11. Triage • Every day • All new and updated bugs • Focus on rapid response

12.

13.

14.

15. Classification • Components • The area of the code base affected • Labels • The people who care about the issue • Metadata

16.

17.

18. Public tracker • Conversations • Customer feedback • Set expectations

19.

20.

21. “ ” This is affecting us too.

22. “ When will this be fixed? ”

23. “ If you fix this I will make all ” your dreams come true.

24. Warranty bugs • Faster to ﬁx • Raises new feature quality • Developers responsible for quality • Gives bugﬁx budget back to feature teams

25.

26.

27. Prioritization • Keep our goals in mind Severe customer impact Purchase and Upgrade Creeping normalcy High support costs Affecting many customers

28. Alternating theme work • Retain some time for urgent work • Work on themes to tackle hard problems JIRA 5.2.x JIRA 6.0.x LDAP High impact & urgent bugs JIRA 6.1.x Search

29. Board of Eric

30. Work allocation • Match ﬁx-rate to demand • Fix in as few versions as possible • Balance urgency and efficiency

31. JIRA Agile

32. Swimlanes

33. Cumulative flow

34. JIRA Workflow

35. Feature workflow - an aside

36. JIRA Workflow

37. Summary • Triage daily • Know why you’re ﬁxing bugs • Quality should belong to the developers • Bug and story processes can differ • Make it easy to give feedback • Listen to that feedback

38. Thank you! Eric Dalgliesh • JIRA Team Lead • Atlassian • @ericdalgliesh

39. Rate this Talk Inside JIRA Bug Processes: JIRA Best Practices Text code below to 22333 or visit http://bit.ly/197jucS MEH = 2Z NO T BA D = 30 P R ET T Y GO O D = 31 A WES O ME = 32 To join this session, send text 136888 to

Inside JIRA Bug Processes: JIRA Best Practices

Recommended

Recommended

More Related Content

More from colleenfry

More from colleenfry (20)

Recently uploaded

Recently uploaded (20)

Inside JIRA Bug Processes: JIRA Best Practices