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  • (calm piano music)

  • - This is a short tour of visualizing, documenting,

  • and exploring software architecture.

  • And we're gonna start here.

  • Sorry, imagine we've invented teleporters

  • and I teleport you here, where are you?

  • France?

  • Close, but not quite.

  • So yeah, it says La Rue de something.

  • This is what happens when we drop new joiners

  • into a code base.

  • We kind of drop them straight into the middle of it

  • and they're a bit lost.

  • How do we solve this problem?

  • How do we figure out where we are?

  • We zoom out, we use technology, we open up

  • the maps on our phone and start zooming out.

  • Any better?

  • Not zoomed out enough.

  • Well, you can now see the name of the road,

  • but we're not quite sure still where we are.

  • We zoom out one more time.

  • Yeah, there we go.

  • So that shows you that's where I live.

  • There's a lot of cluttering on this map, isn't there?

  • It's not very, very clear to see what's going on.

  • So with things like Google Maps, we can reduce

  • the amount of information.

  • Like that.

  • Gets a bit clearer, now we can start to see

  • some of the place names and where some

  • of the bits and pieces are.

  • If you've never heard of Jersey before,

  • this is still kind of useless so you have

  • to pinch to zoom out one more time.

  • And again.

  • And again.

  • So now there you go, there's Jersey.

  • It's a small island just off the coast of France.

  • Now, if you come and visit Jersey, which you should

  • because it's lovely, when you come through the airport

  • you'll get a map.

  • And this is a traditional Visitor Map thing

  • and it shows you information like this.

  • The map's broken up into four quarters

  • and it kind of tells you enough information to get around.

  • It tells you enough information to go and find

  • the major sites and that sort of thing.

  • It doesn't tell you everything though.

  • It's not listing every street, it's not listing

  • every building on every street either.

  • There's a zoomed in part for town, the main city,

  • and we've got a little bit more detail on it,

  • but it's a representations, it's not quite accurate.

  • So this thing here, this blue bit,

  • the tide actually goes out there.

  • So if you pull into Jersey and you boat and you park there,

  • you will find it dry at some point.

  • And also, this bathing pool here.

  • It looks like it never gets refreshed with water,

  • but it does, which is useful because I'm sure

  • kids pee in it in the summer. (audience laughs)

  • The thing these maps have in common

  • is that they show points of interest.

  • So what do I really want to go and see when I visit Jersey?

  • Contrast this with like an ordnance survey map.

  • This is a very, very detailed representation of Jersey.

  • We've got contours and different types of land

  • and all sorts of things going on here.

  • And you need a bit of intelligence and some help

  • to get started interpreting this thing.

  • Both maps are showing selected highlights as well.

  • And that's a really interesting thing here,

  • selected highlights.

  • So when you come to Jersey next year on your summer holiday,

  • you'll probably drive past this big castle.

  • It's called Elizabeth Castle, it's on

  • the south coast from the sea.

  • And it's a 16th century castle,

  • some beautiful granite blockwork,

  • and it was basically built to stop

  • the French and English taking Jersey over.

  • And when you walk around this castle,

  • you kind of get to the top in the middle

  • and things start to change.

  • And you've got this beautiful granite stone thing

  • with this weird concrete thing stuck on top for some reason.

  • And you're like, "That looks really weird.

  • "What's all that about?"

  • And history's important here, so when you're walking

  • around the castle, it tells you that

  • in World War Two when the Germans occupied Jersey,

  • they refortified some of the existing fortifications.

  • So that's what that big concrete thing is on the top

  • and those sorts of gun replacements

  • and so on and so forth.

  • Of course, all of this stuff is described in guide books

  • and there are lots of them out there

  • and of course, if you want to be a bit hipster,

  • you can use the website.

  • We have the Internet now.

  • So that's my quick introduction and sales pitch

  • for Jersey, I guess.

  • I'm gonna come back to the same thing.

  • Right, so visualization.

  • One of the things I do with software teams

  • around the world is I run a visualization workshop

  • and we give some people some requirements.

  • So we say, "Right, you have 90 minutes in groups

  • "to go draw some pictures."

  • And these are the types of pictures people actually draw.

  • I promise I have not made any of these up.

  • I'm not sure I could make these things up.

  • Do these look like diagrams you see on your whiteboards?

  • Yes.

  • (audience laughs)

  • I have another 15 gigabytes I could show you,

  • but I won't.

  • Sometimes when I'm running this workshop,

  • I actually hear people say this.

  • Right, so they're drawing a box or a shape and they say,

  • "This doesn't make sense, but we'll explain it later

  • "when we do our presentation or something."

  • And that's fine, but we don't always present

  • our diagrams, do we?

  • Now, if we're drawing a picture out of our system,

  • we don't always stand there and present it.

  • And a nasty trick I like to do is I like

  • to have two teams swap diagrams.

  • And guess what happens?

  • Because they weren't part of that conversation

  • creating those diagrams, they have no idea

  • what's going on and they're at this

  • kind of Wat moment. (audience laughs)

  • And they're mad about the color coding

  • and the shapes and the lines and basically

  • none of the notations on it makes any sense whatsoever.

  • When you ask people, "Was this an easy exercise?",

  • they say, "Well, actually yeah it was."

  • And then you say, "Well, why are your diagrams such a mess?"

  • and they go "Oh yeah, good point."

  • We don't really know what to draw, we're not sure

  • what sort of diagrams we should draw,

  • the levels of details, shapes, notations,

  • should we use UML?

  • Who here uses UML?

  • That's a really small number, like four or five people.

  • So what's everybody else doing?

  • Something else. (laughs)

  • I've asked this question around the world

  • and UML is massively falling out of fashion.

  • I have no evidence to back any of this up,

  • this is all completely anecdotal, but I'm seeing

  • more and more teams who have no UML skills

  • in the teams anymore.

  • I do use UML, but I use is sparingly

  • for small parts for a software system.

  • What I want to show are very small parts

  • of say, a class hierarchy or something.

  • Google doesn't help.

  • If you go to Google and ask it what it thinks

  • a software architecture diagram looks like, you get this.

  • Page after page after page of essentially

  • pretty-colored block pictures,

  • the sorts of things you can do in a Visio or PowerPoint.

  • And we laugh at these things, but these are exactly

  • the types of diagrams I see when I go

  • and visit organizations.

  • You open up their conference pages or whatever,

  • bang, you get this sort of stuff.

  • And half the pictures just don't make any sense at all.

  • This is hard.

  • I think I've run this workshop for about 10,000 people now,

  • all around the world, and nobody does it

  • sufficiently well the first time around, believe it or not.

  • And the irony here is Agile.

  • So one of the great things Agile has done

  • is it's made us more visual.

  • Whenever I go and visit Agile organizations,

  • you've got their camera boards and the storywalls

  • and the information dashboards.

  • So we've gotten awesome at visualizing,

  • essentially processing the way we work.

  • We've totally forgotten how to draw pictures

  • of the things we're building.

  • And this is just about good communication.

  • If you want to move fast as a team,

  • if you want business agility,

  • then you need to communicate well, that's it.

  • So there's some really simple tips here

  • around notation that I could give you.

  • And just stuff like put titles and pictures,

  • make sure your arrows are annotated,

  • make sure your arrows point one way,

  • and so on and so forth.

  • And the notation around drawing architecture diagrams

  • is really, really easy to fix.

  • One of my key points is this one here, responsibilities.

  • We often joke that naming is hard in software,

  • so it doesn't make sense that most

  • of our architecture diagrams are essentially

  • just a collection of named boxes

  • because the diagrams contain a huge amount of ambiguity.

  • So my simple tip is add more text to your diagrams.

  • And here's a really simple example.

  • This is the same diagram, the version

  • on the right has more text.

  • And that additional text allows us to see things

  • like the responsibilities of those building blocks.

  • There's a lot more information there.

  • In terms of content, when we're drawing

  • architecture diagrams you can't show everything

  • on a single picture.

  • And this is why people do talk about things

  • like views and viewpoints and perspectives.

  • And there are lots and lots of different ways to do this.

  • I would mention Philippe Kruchten's 4 + 1 model

  • as a book that details a whole bunch of ways to do this

  • and there are more.

  • The thing is all of those view catalogs

  • have this logical view of a system

  • separate to the development view of the system.

  • So the logical view is often either

  • the functional, logical, conceptual building blocks

  • and then there's something else that refers to

  • how we're building these things.

  • Why?

  • Why do we do this?

  • I don't get it.

  • Because whenever I go to organizations

  • and I see their nice, fluffy logical architecture diagrams,

  • they never match the code.

  • And that's kind of the point here.

  • If I'm drawing architecture diagrams,

  • I need them to match the code.

  • Otherwise, they're just lying to me.

  • George Fairbanks is sitting in the back.

  • He calls this the model-code gap in his awesome book.

  • When we're having architecture discussion,

  • we're using abstract concepts

  • like modules and components and services,

  • but we don't have those same things

  • in our programming languages.

  • Quick show of hands, who's a Java developer here?

  • Right, so in Java is there a layer keyword?

  • No.

  • In Java is there a component keyword?

  • No, but we create components and layers

  • by assembling classes and interfaces and packages

  • and things together.

  • So what I'm trying to get to is a set of diagrams

  • that actually reflect the code there.

  • That's my ultimate goal.

  • Before we can even attempt to solve this problem,

  • we have a bigger problem.

  • And that is a lack of any sort

  • of consistent standard language.

  • Yeah, even in 2016 we don't have a consistent vocabulary

  • to talk about software architecture.

  • We think we do, but I don't think we do.

  • Quiz time, what's this?

  • It's a map of London, right?

  • What's the blue thing?

  • It's a river, it's the River Thames.

  • What is a river?

  • Body of water flowing one or other direction, perfect.

  • So we know what a river is and we can go and find

  • other rivers using our knowledge.

  • What's that?

  • It's a floor plan for a bathroom.

  • What's this thing here?

  • That's a toilet.

  • What is a toilet?

  • Right, you know what a toilet is.

  • And again, we could use our knowledge

  • of what a toilet is to go and find more toilets.

  • Any electrical people here?

  • Electrical engineers?

  • A couple of ways to refer to circuit diagrams.

  • You've got a funny cartoon pictorial thing

  • or a schematic version.

  • What's that squiggly line there at the bottom?

  • It's a resistor, what's a resistor?

  • It resists stuff, it slows currents down, yeah.

  • If I had a box of electrical components here

  • at the front with capacitors and switches and resistors,

  • could you come to the front and find me

  • a resistor in that box?

  • Right, so you know how to identify a resistor

  • and if you know the color coding, you can work

  • at how strong it is.

  • Right, this quiz is too easy.

  • Let's ramp up the complexity on an exponential scale.

  • What's that? (audience laughs)

  • So we have two UML component diagrams.

  • One is a 1.x version and one is a 2.x version.

  • Don't ask me which one's which, I've forgotten.

  • What are the boxes on these diagrams?

  • They are components, correct.

  • What is a component?

  • I don't know.

  • It's a logical, abstract, functional building block thing.

  • And these components are all very different,

  • so this one down here is a stereotyped database

  • and there's a JDBC interface.

  • So that sounds like a database component.

  • These ones are UIs, or applications.

  • What's the stuff in the middle?

  • Business components, where do they run?

  • In the database as part of the app?

  • Are they micro services?

  • This diagram is open to lots and lots of interpretation.

  • Look, more text on diagram.

  • If this diagram had more text, at least we'd know

  • what these things were.

  • To put this very, very simply, imagine we're building

  • a really simple system consisting

  • of a web app and a database.

  • The word component means part of.

  • For some people, the web app is a component

  • of the entire system.

  • For others, something like a logging component

  • is a component of the web app.

  • Same word, different levels of abstraction.

  • It's the ubiquitous language thing.

  • Now, we've been going on for years about DDD

  • and having this ubiquitous language

  • between us and the business people.

  • We don't have that ubiquitous language for ourselves

  • and that's the problem that we need to solve here.

  • UML tried to do too much.

  • It was a standard notation and a standard abstraction

  • and it kind of failed on both counts.

  • And I think for where we are currently in the industry,

  • we need that standard set of abstractions.

  • I would like to get to something like electrical engineering

  • in the future so we have a standard set

  • of funny symbols to represent things,

  • but let's get the language nailed first.

  • And the thing here is that the language we create

  • need to reflect the technology that we're using.

  • So I want to merge the logical and developmental views

  • back together again and collapse them

  • so we have real terminology that maps to real technology.

  • Now, I don't know how we do this on a global scale,

  • but what we can do within the boundaries of this room

  • is I can show you how I do this.

  • And for me very simply, when I'm discussing

  • a software system, that software system

  • is made up of containers.

  • A container is just something that stores data or runs code.

  • In real terms, it's a web app, a mobile app,

  • a standalone app, a Windows service,

  • a database schema, and so on.

  • If you open up the containers,

  • they are made up of components.

  • So I want to use the word components to mean something

  • running inside a run-time environment, essentially.

  • It's a nice cohesive grouping of stuff

  • with a nice, clear interface and we're done.

  • And because I mostly deal with Java and C#,

  • my components are built from classes.

  • That's it.

  • It's a really simple hierarchical tree structure

  • to describe the static structure of software system.

  • If you're using JavaScript, this makes no sense.

  • So maybe it's modules and objects

  • or modules and functions.

  • Same with functional languages,

  • modules and functions.

  • If you're using a database technology,

  • maybe it's components and stored procedures.

  • So again, you have to take the same hierarchical approach

  • and map it to the tech that you're using.

  • And this is really about creating

  • a single, simple static model of a software system.

  • From the system as a black box down to the code

  • with a couple of levels in between.

  • So that's the language defined.

  • Once you define a language, you can draw

  • some diagrams really simply.

  • And this is what I like to refer to as my C4 model.

  • It's a context diagram, you zoom in to see the containers,

  • you zoom in to see the components,

  • and you can go down to code if you want to,

  • but I don't normally do this, especially if I'm trying

  • to describe an existing code base for example.

  • Really quick example.

  • I created this site called Tech Tribes

  • when I moved back to Jersey and it's just

  • a simple content aggregated for the local tech industry.

  • This is a context diagram for Tech Tribes.

  • The thing with the monkey is the system I built.

  • There are different types of users

  • and different system dependencies.

  • If this was an interactive Google Map,

  • we could select, pinch to zoom in.

  • We see the containers inside the system boundary.

  • We select a container, we pinch to zoom in,

  • we show the components inside it, and so on and so forth.

  • It's just a really simple hierarchical diagram

  • that map onto that language.

  • And ultimately we get to the code.

  • And ultimately, ideally there's a nice, clean mapping

  • between all of these layers and this actually

  • does reflect what the code looks like.

  • For me, diagrams are maps.

  • Right, that's the summary of all of this stuff.

  • Basically, diagrams are maps and you need

  • different types of maps depending on how much information

  • you have about the thing you want to learn about

  • or the audience that you're speaking to.

  • So business people, non-technical people,

  • a nice high-level view works well.

  • Me as a developer, something low-level.

  • Maybe some operations people, something in the middle.

  • I don't want you to take away any tips around notation.

  • This is the notation that I use

  • just because it's very simple.

  • And I tend to use things like color coding and shapes

  • to supplement an existing diagram that already makes sense.

  • So this is the same diagram.

  • One version has some shapes, which one do you prefer?

  • Probably the one with the shapes.

  • But fundamentally, there's no more information

  • on either diagram, it's just an aesthetic thing.

  • I also think it's worth just pointing out that there

  • are lots of other things you might want to consider

  • when you're describing your software architecture.

  • And this is where all of the views and viewpoints

  • and perspectives stuff comes into play

  • and I will point you to Philippe Kruchten's work as well

  • and Eoin Woods's book.

  • This C4 thing is not a design process,

  • it's just a set of diagrams.

  • And it's a set of diagrams that you can use

  • during an up front design exercise or even retrospectively,

  • so if you have an existing code base

  • with no documentation, this is a really good starting point.

  • Yes. (laughs)

  • I get this question a lot.

  • What tool do you recommend?

  • Please don't say Visio again.

  • Because this is just a set of boxes and lines,

  • any general purpose diagramming tool will do.

  • Visio, OmniGraffle, Gliffy, whatever you choose.

  • But come on, this is 2016.

  • There was an interesting plea for help on Twitter recently.

  • What tools are there for creating architecture slides?

  • Nobody responded with a modeling tool.

  • It was all general purpose diagramming tools,

  • which I think is just nuts.

  • And if you look at the building industry,

  • the building industry does not use Visio.

  • The building industry creates a three dimensional model

  • of that building and they surface different views from it.

  • The irony again of course is we build these tools

  • for the building sector. (laughs)

  • And we can't do this ourselves.

  • So I'm trying to solve lots of problems here

  • and one of my approaches is a set

  • of tooling called Structurizr.

  • Structurizr is part kind of Sass product, part Open Source.

  • In its very simplest form, you can write

  • a simple, demanding specific language

  • to create some diagrams.

  • So this is really just an implementation

  • of the people, software systems, containers, components

  • thing I briefly showed you before.

  • It's like Wes Ethan's diagrams if you've seen that.

  • This is great for sketching up something small and simple,

  • a single diagram at a time, but it's not

  • really where we want to go.

  • If I have an existing code base, why can't

  • I just auto-generate diagrams?

  • Has anybody tried this?

  • (laughs) What happened?

  • You just get chaos.

  • Is that because your code base is chaos?

  • Sometimes, but often not.

  • Often it's just showing too much detail.

  • So one of the things I've done recently with Structurizr,

  • so Structurizr's all cloud-based

  • and lots of my potential customers like it,

  • but they don't want to send

  • their software architecture models up to the cloud.

  • So I built a very simple on-premise API

  • because Structurizr is essentially a JavaScript app

  • running in the browser.

  • If you install an API that you can reach locally,

  • you can store the data locally.

  • It's about less than 1,000 lines of code.

  • And this is what that code looks like

  • if you auto-generate a UML class diagram in instantly.

  • It's not particularly useful is it?

  • It's showing us all of the code level elements

  • and all of the relationships between them

  • and it's hard to really pick out what the important parts

  • of this code base are.

  • And this is a really, really small app,

  • like less than 1,000 lines of code.

  • What happens if you point this at 100,000

  • or one million lines of code?

  • You just get crazy, crazy diagrams.

  • And the reason is that these diagramming tools

  • see code, not components.

  • These diagramming tools are usually unable

  • to zoom up to show you bigger abstractions.

  • It's essentially the model-code gap thing again.

  • And we can trace this problem right back in time.

  • There was a paper about this problem in the 90s.

  • The first two opening paragraphs basically say

  • if you ask an engineer to draw a picture

  • of their software system, you get a nice high-level view.

  • If you reverse engineer a diagram from the code,

  • you get something totally, totally different.

  • The reverse engineered diagram is super accurate, of course,

  • but it's not how the engineer thinks about the world.

  • And it all comes back to this question.

  • Well, what is a component?

  • If I want to draw a component diagram,

  • I need to understand what a component is.

  • And if we go back to my little class diagram here,

  • these two boxes I've highlighted are really

  • what I consider to be the components

  • in this little API app I've built.

  • There's a Java server handling API requests

  • and there's a workspace component that's dealing

  • with these structure of the workspaces.

  • You've heard of server-less, this is framework-less.

  • (laughs) This is like the simplest implementation

  • you could possibly write.

  • And all of these other code things are just parts

  • of those two components.

  • And again, this is what the code structure looks like.

  • So I've got two major components with a bunch

  • of helper code, essentially.

  • Now, we have to say that the code

  • is the single point of truth, the code

  • is the final embodiment of all the architectural ideas.

  • Can we get that information back out

  • of an existing code base?

  • And the answer is not really.

  • So if you were to give me your code base,

  • could I generate something like

  • a context diagram automatically

  • by looking for references to people

  • and software systems in your code base?

  • And the answer is no because they don't really exist.

  • We don't have this information in our code base

  • much of the time.

  • The same with containers.

  • Can I get a list of the containers

  • just by scraping data from your code base?

  • There's some information in there, but it's

  • kind of hard to find.

  • When I get down to the component level,

  • this is really the level I want to generate automatically

  • because it's the most volatile

  • and it changes the most frequently.

  • George Fairbanks to the rescue.

  • George Fairbanks says we should adopt

  • an architecturally-evident coding style.

  • Anybody doing this?

  • You should, it's really a tool that's fantastic.

  • So it's a really, really simple technique

  • and it's simply about embedding information

  • into your code base so that your code base

  • reflects your architectural ideas and intent.

  • This sounds kind of high-level and wobbly.

  • In concrete terms, it's just stuff like naming conventions.

  • So if you have a logging component

  • on your architectural diagram, make sure there's something

  • in your code base called logging component.

  • Maybe it's about a namespacing or packaging convention.

  • One fold or one namespace, one package

  • per box on the diagram.

  • Or maybe it's machine-readable metadata,

  • annotating stuff to be this is important,

  • this is a component for example.

  • And by using this we can then extract

  • really useful information from a code base

  • and supplement it where that information's not possible.

  • And I want to move away from drawing diagrams in Visio.

  • There's something called

  • an architecture description language.

  • I'm guessing no one's ever heard of it

  • and no one's ever used it.

  • And that's because it's never

  • really entered mainstream industry,

  • but an architecture description language

  • is essentially a textual description of say,

  • the static structure of a software system.

  • There are a bunch of them out there,

  • Darwin or Koala for example,

  • but the syntaxes are horrible

  • and you have to teach developers

  • another weird looking language just so they can describe

  • the piece of software that they're building.

  • But this is a fantastic concept because we're not dealing

  • with pictures, we're dealing with text.

  • And as developers we like text.

  • We can diff text, we have tooling to support text.

  • So let's take all of these things, chuck 'em in a pot,

  • stir it around, and come up

  • with an architecture description language using code,

  • using general purpose code,

  • the same code we're using to build our systems.

  • And that's the other piece of Structurizr,

  • so there were two Open Source libraries

  • and basically they are a very small implementation

  • of the C4 stuff.

  • Again, there's a bunch of classes in both,

  • one for Java and one for .NET,

  • and they let you create people and software systems

  • and containers and components and wind them together

  • to describe your software architecture.

  • So that's how we got using this

  • for describing my little API thing.

  • So as a user, a person.

  • The person, the software developer's using

  • my Structurizr product and Structurizr uses

  • the API to store information locally.

  • So again, we can just write up some code

  • to create that little model.

  • And then I can create a system context view

  • by adding the appropriate things to my diagram.

  • And the net result is very simply you get a picture

  • like this from code like this.

  • This is a very, very simple way to describe

  • the high-level structures of a software system.

  • We go down to containers, it's just the same deal.

  • So from a container perspective, essentially all I have

  • is a little API server, it's a web app, it's a Java web app

  • storing information on a file system.

  • So again, we can create a couple of containers,

  • we wind them together just using some method calls,

  • and we can create some diagrams.

  • So basically you write code, you get pictures.

  • This is great for the high-level stuff.

  • Once you get down to components, you don't want

  • to have to do that.

  • So this is why the Open Source libraries

  • have some component finder things in it.

  • And the component finders find components.

  • See, naming's not hard after all.

  • Now, the question becomes how do you find components

  • and the answer is it's up to you

  • because every code base is different.

  • And this comes back to the architecturally evident

  • coding style thing.

  • So if you have a naming convention

  • that your team's adopted, you can go and find components

  • based upon that naming convention.

  • If you use a framework like Spring,

  • you can go and find Spring annotations

  • and call them components

  • and so on and so forth.

  • So lots of different strategies you can plug in

  • to find components.

  • This is the code I use to find the components

  • in my little API application.

  • Got a couple of different strategies here.

  • I want to find the things ending with the word servlet

  • and I want to find the things that I've annotated

  • with my own special app component annotation.

  • Find them, wind them together.

  • And actually there's some logic behind the scenes

  • in the framework that goes and finds

  • the inter-component dependencies.

  • And that's the sort of diagram you get from that.

  • So that's the API servlet component that it found

  • and that's the workspace component

  • and it's identified the relationship between them.

  • You might be wondering how did that text get on there?

  • And the answer is you have to add some more metadata

  • to your code base to do that.

  • This is really about creating a model,

  • so I want to get people away from using diagrams

  • and back to using modeling as an approach

  • for describing software.

  • And because once you have a model, you can do

  • lots of really interesting things

  • like generate diagram keys automatically. (cheers)

  • No more horrible notation we don't understand.

  • Because this is a model, we can do things

  • like hyperlink the model to the code.

  • So if you go online and you find these diagrams,

  • you can double-click any of the components

  • and it takes you right to GitHub,

  • it takes you to the exact implementation of that thing.

  • And again, it comes back to the maps thing.

  • Diagrams are maps.

  • This is a funny tweet.

  • 388,000 pixel wide picture.

  • My reason for including this tweet

  • is basically, does such an approach scale?

  • And the answer is no if you use it naively.

  • So this is what happened when I threw my own tooling

  • at one of my own web apps.

  • All of these things are web app controllers

  • and these things are components.

  • My goodness, it's horrible.

  • I don't think the code's horrible, the diagram's horrible,

  • and of course making the diagram canvas larger

  • does not help one bit because you still

  • have the message, just spread out.

  • But because this is a model, you can do some

  • interesting things like don't show me everything,

  • show me a slice through the system.

  • For example, we can say what's a slice?

  • Well, maybe it's a slice starting from a web app controller,

  • an entry point to your system.

  • And show me that slice until you drop out

  • of the bottom of the app.

  • So basically you can create a larger number

  • of much, much simpler pictures.

  • So that's my approach for dealing with complexity in scale.

  • Once you have a model, you can throw it

  • into lots of other types of tooling.

  • So if you're a Graphvis fan,

  • part of the Java Open Source library

  • is a Graphvis exporter so it creates

  • a DOC file, you put the DOC file into Graphvis,

  • it auto-generates diagrams for you.

  • If you hook all of this stuff up to your build process,

  • guess what happens?

  • Your documentation, your diagrams remain up to date

  • when your code changes and that's ultimately

  • what I'm trying to get to here.

  • So the title of this talk

  • was Visualize, Document, Explore

  • so we should talk about documentation really quickly.

  • A lot of people are no longer documenting anything.

  • I know that sounds a bit extremist.

  • We have our friend, the Agile Manifesto to thank for that.

  • It people's misinterpretation of what the Agile Manifesto

  • says about documentation.

  • And of course, if I did drop you into a project

  • that's unfamiliar to you, a code base

  • that you've never seen before,

  • you do get that kind of, "Where am I on this leafy lane?"

  • and you have to start zooming around exploring

  • and try to figure out where you are.

  • And this takes time.

  • That lane I dropped you in right at the start,

  • you could keep walking until you met somebody

  • and asked them, "Where am I?

  • "Where's the nearest X?" for example.

  • But it's just gonna take some time.

  • Of course, once you're exploring the code base,

  • the code base actually doesn't tell you everything

  • you want to know.

  • The code doesn't tell you the entire story,

  • especially around things like rational and intent.

  • Why were these decisions made?

  • That's often missing from the code base.

  • And often, teams have lots of tribal knowledge

  • kicking around as well, specialists and experts

  • in particular parts of the code base.

  • And that's fine until those people leave

  • or they get run over by the proverbial London bus.

  • The thing is, the bus factor as we call it,

  • is not just about buses.

  • Imagine you have a small team here,

  • one does get run over by a double-decker bus, bye-bye.

  • Someone goes into sabbatical for a year

  • and we have to fire somebody because they're useless.

  • And now we have a smaller team and the smaller team

  • starts saying things like, "You know that thing there

  • "that we have to run every week, what is it?"

  • Oh, and again, that's a kind of extreme thing,

  • but I have seen situations like that occur.

  • So how do we fix our documentation problems?

  • Well, we write some documentation.

  • And this is where the SAD comes into play.

  • And it's called the SAD because it makes you sad.

  • And there are lots of templates out there

  • for this sort of thing.

  • Every consulting company I have ever worked at

  • has created their own.

  • Rupp has one, there's lots of them out there.

  • And these sort of software architecture documents normally

  • include some really interesting, insightful information.

  • How do we get to the design, what were the design decisions,

  • what is the architecture, how do we look after it?

  • These documents tend to be just horrible.

  • Hundreds of pages.

  • Out-of-date totally, useless.

  • So how do we fix this?

  • Well, it turns out naming is our friend.

  • What I do is I just rename the document

  • and all the problems go away. (audience laughs)

  • And I call it a guidebook.

  • Like the Jersey guidebook thing I talked about at the start.

  • If you come to Jersey, you buy a guidebook,

  • it has a bunch of maps to help you navigate

  • an unfamiliar environment, it shows you the sites

  • and the itineraries, the points of interest,

  • the things you really should come and see.

  • It talks about the history and the culture.

  • How did Jersey get to where it is today?

  • And there's all the practical stuff.

  • Again, if you take that metaphor and apply it

  • to a software system, you get a really, really interesting

  • set of documentation.

  • So maps, the diagrams, show me what the code looks like,

  • how do we explore the code base,

  • which parts of the code base are useful to understand,

  • which parts are important because most stuff isn't.

  • How did the code base evolve to where it is today

  • and how do we look after it?

  • This is my single tip for documentation,

  • just describe what you can't get from the code base.

  • That's it, it's as simple as that.

  • Knock it up a level of abstraction.

  • And make these things small.

  • Don't have hundreds and hundreds of pages of stuff

  • that becomes out-of-date.

  • Make these things as small, lean as possible.

  • They're really kind of

  • living, breathing, evolving style documents.

  • This isn't the big up front design,

  • we must create a SAD up front approach.

  • This is a supplementary piece of documentation

  • that sits alongside the code base.

  • And it's a product-related document.

  • A software system, a document, a supplementary document.

  • This doesn't mean you can't do product documentation

  • as well, but every software system

  • should have a user guide essentially.

  • How does the software work?

  • (sighs) You choose, I don't care.

  • It's the tooling thing and what tooling

  • do you recommend for documents?

  • A lot of people still use Word, that's fine.

  • SharePoint if you really have to.

  • Lots of people using Conference,

  • but I'm seeing more and more teams

  • at tops of things that I ask to dock a mark down.

  • And they're creating a nice little documentation files

  • and they're sticking the documentation files

  • next to the source code in source code control.

  • And then they do stuff at build time,

  • generate HTML, uploading to websites and Wikis and so on.

  • So there's a lot of opportunities for using

  • different tooling here.

  • Again, that's something I'm trying to do with Structurizr.

  • I want to create a software architecture model

  • that contains both the model, the visualization stuff,

  • and the documentation.

  • So this is the code I wrote to document

  • my little API application.

  • It's a bunch of simple mark down files,

  • you upload it as part of the model,

  • and some documentation's basically generated for you,

  • that's it.

  • So again, I'm trying to keep all of this stuff in one place.

  • And you can also embed diagrams in your documentation.

  • So again, these things are together where they belong.

  • There are some other approaches to documentation.

  • So this guy's saying lots of really interesting stuff

  • around living documentation, he's got a whole bunch

  • of little tools, Open Source and GitHub,

  • that you can use for creating documentation

  • from code, for example.

  • And these guys in Germany have

  • a software architecture document they call arc42

  • and it's a really, really nice, lightweight, lean approach

  • to documenting software systems.

  • It's very similar to the approach I particularly take.

  • And there's lots of content, lots of free content

  • that you can grab on arc42.

  • People say, "How long should a document be?"

  • and that's the wrong question to ask.

  • How many pages is the wrong question to ask.

  • If I join your team, what I'm really looking

  • for is a document I can consume

  • in like one or two hours over a coffee or two

  • to get a good jump-off point into the code

  • so that I can go and explore in a much more structured way,

  • much more structured manner.

  • To speak of exploring, once you start to model

  • your software, you can do some really interesting

  • stuff with it.

  • So you can do things like create a JavaScript D3

  • visualization of the static elements,

  • it's just a tree structure.

  • So this is a model that one of the sample applications

  • from the Spring Team, it's called the Spring Pet Clinic,

  • and this is just the software system container's components.

  • You can do things like let's find all of the interesting

  • component dependencies, incoming and outgoing dependencies.

  • You can do things like let's rate our components

  • based on size and complexity.

  • So again, once you have a model, you can do

  • some cool stuff with it.

  • You can throw it into Neo4j if you really want to.

  • Why not?

  • The software architecture model is just a directive graph.

  • You throw it into Neo4j and you can query it or cypher.

  • People are actually doing this.

  • There's a whole set of tooling called jQAssistant

  • that let's you do this.

  • You run it, it gets your source code,

  • you set up some rules and basically

  • it pops it into Neo behind the scenes, it's awesome.

  • And these guys, Empear, they've created a set of tooling

  • that runs against your source code repositories

  • and not only are they doing static analysis,

  • but they're also super imposing the human aspects

  • on top as well.

  • So they can look for things like,

  • we have this one thing here and it's always changed

  • by these two different teams, why is that?

  • Maybe we've got the component boundaries incorrect

  • in this particular instance.

  • So again, there's really cool technology there.

  • In summary,

  • there's a virtual panel

  • about software architecture documentation from 2009.

  • Some people you might now on here, Eoin Woods of course,

  • and it says things like we should be able

  • to see the architecture in the code.

  • We should be able to embed this information in the code.

  • We should be able to get the documentation

  • from a click of a button for example.

  • It's really about automating as much

  • of this documentation as possible.

  • I don't think we're there yet, but I think

  • we can get there and we are starting to get there of course.

  • My summary is really that diagrams are maps.

  • Treat your software architecture diagrams

  • as a set of simple maps to describe your code

  • based on different levels of abstraction.

  • Any documentation you create should describe

  • what the code doesn't, it's as simple as that.

  • And yeah, the 1990s called and they want their tooling back.

  • (laughs) So stop using Visio, please stop using Visio.

  • And if you're gonna say, we don't use Visio,

  • we use Gliffy, it's the same thing.

  • Stop using that as well.

  • Stop manually drawing boxes and lines

  • to describe software architecture.

  • All of the tooling aside, my final closing comment

  • is very, very simple.

  • Whenever you're describing software, make sure

  • within your team you have a ubiquitous language to do so.

  • That's me, thank you very much.

  • (audience applauds)

(calm piano music)

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GOTO 2016 - ソフトウェアアーキテクチャの可視化、文書化、探索 - サイモン・ブラウン (GOTO 2016 • Visualise, Document & Explore your Software Architecture • Simon Brown)

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    colin に公開 2021 年 01 月 14 日
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