This document discusses domain-driven design, which involves focusing software development around the problem domain by creating a conceptual model of the domain concepts and logic. It recommends learning from domain experts to understand the problem domain, then modeling the key entities, their relationships, and domain logic without focusing on implementation details like the database or user interface. This domain model forms the core of the software and allows for scalable, manageable development through a layered architecture with separate application, domain, and utility layers.

3. Domain Driven Design in the
Browser
Better Living through Software Modeling

5. The job of software is to solve
problems having to do with a
particular domain.

6. What’s a Domain?
A domain is an area of expertise.
It could be a industry field, like accounting, or a subject of
interest, like penguins.

7. Matchmaking
OkCupid

8. Social Networking
Facebook

9. Data Analysis
SumAll

10. Graphic Design
Photoshop

11. Research
EasyBib

12. Successful software starts
with a focus on the domain.

13. How do I “focus on the
domain?”

14. First, seek understanding
from domain experts.
They know more than you do.
experts are sometimes known as “business stakeholders” or “product

15. Who is an expert in my domain?

16. Matchmaking
These people (shadchanim)

17. Social Networking
This guy.

18. Data Analysis
George Box (a famous statistician)

19. Graphic Design
David Carson

20. Research
Allison “I Know a Lot About Research” Cloyd

21. Next, create a model of the domain
that you can use in your software.

22. What is a model?

23. A blueprint of the domain that
exists in the mind of the developer.

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25. Some common misconceptions
about the model

26. The model is not
source code.
You have code that reflects the model,
and it contains words that come from the
model.
But code is just an implementation of
the model. The model exists in the mind
of the developer.

27. The model is not
the database.
Some of the data associated with the
model is in the database. And the
database schema is another
implementation of the model.
But the model encompasses all of the
domain logic AND data, and it exists in
the mind of the developer.

28. The model is not a
diagram
A diagram is just a picture of the model.
The model itself exists in the mind of
the developer.

29. Some perks of using a model

30. Ubiquitous Language

31. Scalably Handling Complexity

33. Manageable Knowledge Sharing

35. How do I translate the domain
expert’s knowledge into a model?

36. 1.Verbal Communication
2.Diagramming
3.Use Cases

37. The Stuff that Models are
Made Of

38. Entities
Objects with a unique, persistent identity
We track this identity using a key or a combination of
properties

39. Some examples of entities:
Entity Type Identifier
• Person/User Email
• Bank Account Account #
• Shipping Route Id
• Book ISBN

40. Value Objects
Second class objects with no identity, just value
Value objects are always properties of entities
They’re immutable: they’re usually only changed by
replacement

41. Name

42. Factories
The job of factories is to make entities

43. Printer

44. Services
Services are the verbs of an application.
Their state doesn’t matter so much.
They have a job to do.

45. CitationService

46. CitationService.formatBook(string title, CiteStyle style)
1. Call the WorldCat API to get publication info about the book.
2. Pass the WorldCat response object to BookFactory.fromWorldCat()
3. For analytics, pass the Book object to BookRepository and call
BookRepository.save().
4. Using the name of the CiteStyle, pass the Book to a ViewFactory
for formatting and return the View.

47. Repositories
The persistence layer
Buckets for data

48. Some Benefits of Repositories
• A repository is an interface, so you can read and write persistent
data without knowing where it’s going. You can say repository.read()
and it might read from a REST API, web sockets, local storage, or
even memory.
• That’s why a repository is called a Persistence Abstraction Layer.

49. Layered Architecture

50. Application
Domain
Utilities

51. Application Layer
• Views
• RequestControllers (traditionally called “Controllers”)
• ViewModels
• Assets - CSS, JavaScript, images
• UI Details - UIControllers, Data Bindings
• Any other application-specific logic (console applications, cron tasks,
etc.)

52. Domain Layer
• Entities
• Factories
• Services
• Repositories
• Any other domain-specific logic that’s reusable across applications

53. Utilities Layer
• Libraries - Math Utilities, CSV Parsers, DOM Selection Utilities, Data
Structure Helpers, ORM Tools
• Frameworks - Backbone, Symfony, Rails, Django
• Anything that’s reusable across domains

54. Some Rules for Layered Architecture

55. Information flows one way: up

56. References
Objects in one layer can refer to objects in any lower layer.
Objects in one layer can refer to objects in that same layer.
Objects in one layer CANNOT REFER TO OBJECTS IN A HIGHER LAYER.

57. Let’s Get Some Practice
For some more good reading, go to http://www.loewenbraeuzelt.de/wp-content/
uploads/DomainDrivenDesignQuicklyOnline.pdf
Or check out Eric Evans’ Book, Domain Driven Design

58. In This Presentation
• See the working app: cornellnotes.nodejitsu.com
• GraphJS: https://github.com/cameronprattedwards/graphjs
• entity-context: https://github.com/cameronprattedwards/entity-context
Contributors wanted!