Patterns For Effective Use Cases

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5 likes•2,221 views

An overview of the Patterns that may be applied when working with Use Cases in the Requirements Definition Process (software development)

Patterns for effective Use Cases

October, 29th 2009

Maria Lekkou

whoami

❙ Dipl.-Ing. Elektrotechnik / Techn. Universität Athen
❙ Broadband Netzwerke für Multimedia
❙ Seit 14 J. in DE

❙ Seit 8J. Software
development
❙ Mayflower

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 2

Who is...

Use Case Patterns Bin schon
heute bei Mayflower! unterwegs!
Nix wie hin!

Alistair Cockburn Steve Adolph
Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 3

Why talk about Use Cases?

? TEXT!

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 4

Why do we need Use Cases?

requirements
validate design

feature lists
tests/QA
help, manuals
Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 5

What is a Use Case (not)?

stakeholder
system (SuD)
primary actor
behaviour
goal interaction
contract
Implementation
level scenario detail
UI design
scope
Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 6

Horror Use Case

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 7

Good Use Case – part I

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 8

Good Use Case - part II

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 9

Scope / Goal

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 10

Summary – level example

❙ Main Success Scenario
1. A reporting party registers a loss to insurance company
2. Clerks receives and assigns the claim to a claims adjuster
3. The assigned Claims Adjuster
conducts an investigation
evaluates damages
sets reserves
negotiates the claim
resolves the claim and closes it

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 11

Actor-Goal list

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 12

Use Case Patterns

Pattern Name
Picture
Context
Problem
Story
Forces
Solution
Examples

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 13

DEV-> Team

BalancedTeam
SmallWritingTeam ParticipatingAudience

Patterns for Effective Use Cases

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DEV-> Process

BreadthBeforeDepth

MultipleForms

TwoTierReview

QuittingTime

WritersLicense

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 15

DEV-> Editing

RedistributeTheWealth

CleanHouse

MergeDroplets
Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 16

STRUCT-> Use Case Sets

SharedClearVision

VisibleBoundary ClearCastOfCharacters

UserValuedTransactions
EverUnfoldingStory

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 17

STRUCT-> Use Cases

CompleteSingleGoal

VerbPhraseName

PreciseAndReadable

ScenarioPlusFragments

ExhaustiveAlternatives
Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 18

STRUCT-> Scenarios / Steps

DetectableConditions

LeveredSteps

TechnologyNeutral

ForwardProcess

ActorIntentAccomplished

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 19

Example 1

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 20

Example 2

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 21

Example 3

Patterns for Effective Use Cases

© MAYFLOWER GmbH 2009 22

Happy End ;)
Maria Lekkou
Mayflower GmbH
Mannhardtstr. 6
80538 München
+49 (89) 24 20 54 - 1154
maria.lekkou@mayflower.de

© Balakov (flickr)

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Six Myths about Ontologies: The Basics of Formal Ontology

johnbeverley2021

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 Webinar - Unlock the Power of AI-Driven Data Discovery

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

Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

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Quantum Leap in Next-Generation Computing

Quantum Leap in Next-Generation Computing

Quantum Leap in Next-Generation Computing

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...

WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...

WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...

Key topics covered: - Understanding the basics of IAM and its significance in the modern enterprise. IAM in a platformless environment - Tackling real-world issues like prioritizing frictionless yet secure user access, securing high-value APIs, integrating to business, compliance, and adapting to cloud native environments with scalable solutions - Practical demonstrations of how WSO2 products can be instrumental in deploying efficient IAM solutions - Preparing for upcoming trends and innovations in identity management

Navigating Identity and Access Management in the Modern Enterprise

Navigating Identity and Access Management in the Modern Enterprise

Navigating Identity and Access Management in the Modern Enterprise

Vector Search -An Introduction in Oracle Database 23ai.pptx

Vector Search -An Introduction in Oracle Database 23ai.pptx

Vector Search -An Introduction in Oracle Database 23ai.pptx

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CNIC Information System with Pakdata Cf In Pakistan

CNIC Information System with Pakdata Cf In Pakistan

CNIC Information System with Pakdata Cf In Pakistan

AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)

AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)

AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)

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

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Understanding the FAA Part 107 License ..

Understanding the FAA Part 107 License ..

Understanding the FAA Part 107 License ..

Christopher Logan Kennedy

DBX First Quarter 2024 Investor Presentation

DBX First Quarter 2024 Investor Presentation

DBX First Quarter 2024 Investor Presentation

At its core, the challenge of managing Human Resources data is an integration challenge: estimates range from 2-3 HR systems in use at a typical SMB, up to a few dozen systems implemented amongst enterprise HR departments, and these systems seldom integrate seamlessly between themselves. Providing a multi-tenant, cloud-native solution to integrate these hundreds of HR-related systems, normalize their disparate data models and then render that consolidated information for stakeholder decision making has been a substantial undertaking, but one significantly eased by leveraging Ballerina. In this session, we’ll cover: The overall software architecture for VHR’s Cloud Data Platform Critical decision points leading to adoption of Ballerina for the CDP Ballerina’s role in multiple evolutionary steps to the current architecture Roadmap for the CDP architecture and plans for Ballerina WSO2’s partnership in bringing continual success for the CD

Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform

Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform

Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform

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Stronger Together: Developing an Organizational Strategy for Accessible Desig...

Stronger Together: Developing an Organizational Strategy for Accessible Desig...

caitlingebhard1

Architecting Cloud Native Applications

Architecting Cloud Native Applications

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Patterns For Effective Use Cases

1. Patterns for effective Use Cases October, 29th 2009 Maria Lekkou

2. whoami ❙ Dipl.-Ing. Elektrotechnik / Techn. Universität Athen ❙ Broadband Netzwerke für Multimedia ❙ Seit 14 J. in DE ❙ Seit 8J. Software development ❙ Mayflower Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 2

3. Who is... Use Case Patterns Bin schon heute bei Mayflower! unterwegs! Nix wie hin! Alistair Cockburn Steve Adolph Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 3

4. Why talk about Use Cases? ? TEXT! Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 4

5. Why do we need Use Cases? requirements validate design feature lists tests/QA help, manuals Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 5

6. What is a Use Case (not)? stakeholder system (SuD) primary actor behaviour goal interaction contract Implementation level scenario detail UI design scope Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 6

7. Horror Use Case Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 7

8. Good Use Case – part I Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 8

9. Good Use Case - part II Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 9

10. Scope / Goal Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 10

11. Summary – level example ❙ Main Success Scenario 1. A reporting party registers a loss to insurance company 2. Clerks receives and assigns the claim to a claims adjuster 3. The assigned Claims Adjuster conducts an investigation evaluates damages sets reserves negotiates the claim resolves the claim and closes it Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 11

12. Actor-Goal list Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 12

13. Use Case Patterns Pattern Name Picture Context Problem Story Forces Solution Examples Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 13

14. DEV-> Team BalancedTeam SmallWritingTeam ParticipatingAudience Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 14

15. DEV-> Process BreadthBeforeDepth MultipleForms TwoTierReview QuittingTime WritersLicense Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 15

16. DEV-> Editing RedistributeTheWealth CleanHouse MergeDroplets Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 16

17. STRUCT-> Use Case Sets SharedClearVision VisibleBoundary ClearCastOfCharacters UserValuedTransactions EverUnfoldingStory Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 17

18. STRUCT-> Use Cases CompleteSingleGoal VerbPhraseName PreciseAndReadable ScenarioPlusFragments ExhaustiveAlternatives Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 18

19. STRUCT-> Scenarios / Steps DetectableConditions LeveredSteps TechnologyNeutral ForwardProcess ActorIntentAccomplished Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 19

20. Example 1 Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 20

21. Example 2 Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 21

22. Example 3 Patterns for Effective Use Cases © MAYFLOWER GmbH 2009 22

23. Happy End ;) Maria Lekkou Mayflower GmbH Mannhardtstr. 6 80538 München +49 (89) 24 20 54 - 1154 maria.lekkou@mayflower.de © Balakov (flickr)