Software Engineering – University of Tampere, CS DepartmentJyrki Nummenmaa SOFTWARE ARCHITECTURES...

Post on 16-Dec-2015

221 views 1 download

Tags:

Transcript of Software Engineering – University of Tampere, CS DepartmentJyrki Nummenmaa SOFTWARE ARCHITECTURES...

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

SOFTWARE ARCHITECTURES

An architecture contains the information on how the software devides into building blocks.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

“GUI-Hanger” syndrome

FuncX(…){ do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that;do that; do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that;do that; do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that;do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that;do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that;do this; do that; do this; do that; do this; do that;}

FuncX(…){ do this; do that; do this; do that; do this; do that;do this; do that; do this; do that; do this; do that;}

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Why software architectures?

• Managing complexity– It is easier to manage complexity, if we divide the

application into reasonable parts.• Maintainability

– Usually a reasonable architecture makes it much easier to maintain the software.

– This may actually be the biggest reason for architectural design.

• Efficiency– A good architecture enables us to isolate the potential

causes for inefficiency and makes it possible to scale up performance when load increases.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Architectural Design Choices

Choices Made In Architectural Design:• Components• High-Level Design Patterns• Architectural Styles• A Possible Framework Architecture• Processes and Hardware• Processes and Communication• Other Architecture-Related Decisions • -> Some of these issues depend on each other strongly.

• Let’s have a look at some historical development.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Monolithic Architecture / 1

• Monolithic systems are not divided into independent parts. They typically run on a single processing unit (computer).

• There was a time when computers typically did not talk that much with each other.

• This made monolithic systems more or less the only choice.• Lack of complicated communication speeds up processing,

but it is hard to improve performance in any other way than increasing processing power for that one computer.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Monolithic Architecture / 2

• Typically and historically, the monolithic system talks with fairly dumb clients (like terminals).

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Client/Server Architecture /1

• When terminals were replaced by microcomputers, they started to have processing power.

• To use this power just to run a terminal program was a waste of processing capabilities.

• Consequently, the microcomputers were used to run a client program, which talked with the mainframe server.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Client/Server Architecture /2

• Fat clients contained more functionalities and data.• Thin clients contained more or less terminal-type

functionalities.• Client/Server (C/S) computing was the first step towards

multi-tier (multi-layer) architectures on processing unit level.• It allowed a better division of work.• However, fat clients also needed maintenance and

installations to keep up with current versions.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Three-tier architecture / 1

• The server side was still monolithic in a basic C/S architecture, which created a performance bottleneck.

• As the applications usually had a database, multiplying the database is hard in many cases, which makes it hard to multiply the servers.

• However, by having a separate database server it was possible to have multiple application servers.

DATABASE SERVER

APPLICATIONSERVERS

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Three-tier architecture / 2

• The database server only runs the database, as having several of them is difficult.

• If there are database server performance problems, get a more powerful server!

• You may use several servers for backup to always have a backup server on-line ready for action.

• The three-tier architecture is fairly common.• To make client installation easier, it is possible to have a

client server (or UI server), from which the client is software is loaded for execution (like an applet to be executed in the browser).

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Using multiple database servers

• If data is replicated to several databases, updating them correctly is a problem – in particular if the replicas must be consistent.

• If data is distributed, then it should be easily found somehow. Like assume a library keeps books with title starting with ”A” on one data server, ”B” on a second server, and so on.

• Queries based on other selection criteria or data from several servers are problematic.

A B C

Z

. . .

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Some application architectures

Min=0Max=400Value=50

Abstraction Control Presentation

PAC (J.Coutaz)

Controller View

Model

MVC Model (Reenskaug)

Application Userinterface

Simple Separation (N.N)

Frame

View

Document

Document

View

MDI (MFC)

Slide by Ari Jaaksi.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

MVC

• Model– Often uses a database.

– Could include ”basic rules” about the domain.

• View– User interface

– Typical implementation is graphical (GUI, graphical user interface)

• Controller– Understands user interface requests.

– Uses the model to fulfill them.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

MVC - web development examples

• Model– Typically uses an SQL database

– Objects to manage the database according to the rules of the model

• View– HTML forms

– Applets

– JSP (Java Server Pages, an XML-like description from which HTML is generated)

• Controller (”application programs using M and V”)– Java servlets, perl programs, etc...

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

MVC++ triad

Controller-knows how this particular application works-controls the view and the model

Model-"real world"-works when the controller asks it to work

View-user interface-knows how to communicatewith the end user

MVC++ is an MVC variant developed at Nokia. Slide by Ari Jaaksi.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

MVC++ application in action

Actions ofthe End User

=Manipulation

Observations ofthe End User=Feedback

End User View Controller Model

Decisions

Interpretedactions

Results

Actions

Action requests

Action requests

UserInterface

From a slide by Ari Jaaksi.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Working together

Balance:7800:-

ModelControllerView

controller::BalanceWanted(){ b = model->GetBalance(); view->ShowBalanceFM(b);};

7800.00

Balance

Get

view::GetPressedMM(){ controller->BalanceWanted();};

view::ShowBalanceFM(int b){ TextField.WriteInt(b);};

int model::GetBalance(){

return(balance);};

Slide by Ari Jaaksi.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Peer-To-Peer Computing

• The above processing architectures have assumed that we have separate servers and clients and the configuration of the system is controlled in a centralised fashion.

• In Peer-To-Peer computing, each computer (node) is equal, and the nodes may ask each other for processing services.

• The nodes may contact each other flexibly and forward processing requests, which removes a fixed configuration for processing.

• Grid computing (”a software infrastructure enabling flexible, secure and coordinated resource sharing”)

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Processing Unit vs. Software Architecture

• If an architecture divides processing into different types of processing units (clients and various servers), then of course this division implies also a division of the software functionalities.

• However, there is also architectural structural decisions, which do not need to be based on the processing unit architecture.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Dividing the tiers

• As an example, we may divide the application server functionalities into domain tier and control (application) tier. Typically it is the domain tier, which talks to the database.

• It makes a big difference, how the layers talk with each other.

• It is typically seen as a good thing, if the layers call each other in top-down fashion and the calls do not pass-by layers (e.g. application layer does not call database layer).- Makes maintenance easier.- Performance may suffer.

Client tier

Application tier

Domain tier

Database tier

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Issues with multi-layer architectures

• Number of layers• Error/exception management (what to pass on, what to

process)• Callback from lower layers.• Interfaces between layers / encapsulation of layers.• Maintenance knock-on effects (do changes of one layer imply

changes in other layers?)

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Components - What?• Component technologies can be seen as packaging

technologies• Independent• Can be used as a building block to build larger systems –

dynamic, ”plug & play” linking• Have a well-defined interface, which hides the implementation

completely• Can be treated as a product of its own• Can be installed separately• Can be implemented with any language, as long as it

implements the necessary interfaces

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Components - Why?

• Object-oriented source-level re-use of code requires same source code language.

• Object-oriented source-level re-use may require understanding of the implementation.

• Building the system from source-level pieces requires that these pieces compile happily with each other.

• We want to avoid the above problems and build binary components with well-defined interfaces.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa ComponentZ

ComponentY

InterfaceX

Component Diagramimplements

uses

Interface – this may also be represented with stereotype <<interface>> for a class.

component

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Component - Interfaces

• An interfaces defines a set of services, which semantically belong together.

• An interface is a contract between the user and the implementor.

• A componenent may implement many interfaces and an interface may be implemented by many components.

• Once an interface is released, it does not change.• If changes are necessary, a new interface is released.• As a matter of fact, you should know all this.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Component Technologies

• Microsoft COM & DCOM (distributed COM)• CORBA standard

– several vendors – heavyweight system

• Java Beans

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

GameGUI

GameController

GameModel

GameModelInterface

GameControllerInterface

Component Diagram For The Game Application

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

User

Choose to take card

Show funds

Card Value

Seq. Diagram for ”Take Card”, Component Level

Pay (1)

Updated funds

Turn Card

Show card value

Add Funds (Value)

Show funds

GameView GameController GameModel

Take card

Show funds

Show card value

Updated fundsShow funds

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

: GameClient : GameServer

: GameModel

: GameController

: GUI

<<TCP/IP>>

Deployment DiagramProcessing resource (a device, not a device type)

Component instance

Object – ok, this was a componentin an earlier slide, this is just for example

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

FRAMEWORKS

• An application framework contains core parts for an application.

• The framework serves as a starting-point for application development.

• We add new things to the core. • In case of OO software development, a framework may

contain a set of core classes.• Naturally, the new system inherits the basic architecture from

the framework.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Black-box vs. white-box frameworks

• In black-box frameworks, we just build things on top of the framework without a need to see the implementation details in the framework. - Easy to use

• In white-box frameworks, we typically implement new subclasses based on the classes in the framework.- More flexible

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Frameworks vs. components

• When you use components, you typically write the “main programs” yourself and call the services from the components.

• When you use frameworks, the framework includes the “main programs” and you implement the application-specific special services, which the framework calls.- The so-called Hollywood principle: “Don’t call us, we call you”.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Frameworks – conclusions

• It is harder to write a good application framework than it is to write a good application.

• However, if it succeeds, a lot of effort can be saved in producing future applications based on the framework.

• In particular, it is possible to get the products out earlier (a time-to-market improvement).

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Design Patterns

• The idea is to copy an existing design idea and modify it to our needs.

• The idea of copying designs like this is the basic idea behind design patterns.

• It has been difficult to reuse code. The idea of design patterns is to reuse ideas.

• In a way, applying the MVC model is reusing the idea. However, there have been efforts to give a fixed format for presenting design patterns.

• Design patterns can be used at architectural design as well as in more detailed design.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Design Pattern Description

• Name• Problem• Solution

– Static: E.g. Class Diagram– Dynamic: E.g. Sequence Diagram

• Strategy– How to implement the pattern

• Consequences– Results and trade-offs

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Design Pattern ”Observer”

• Problem: We want to keep a number of objects (observers) aware of the state of an object (subject)

• This is done by making the observers subscribe to the subject.

• Whenever the subjects state changes, it will publish information about that to all subscribed observers.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Subject {abstract}

Subject {abstract}

Object {abstract}

Object {abstract}

update() {abstract}update() {abstract}

ConcreteSubjectConcreteSubject

ConcereteObserverConcereteObserver

update()update()

observes

*

registersfor all g in observes { g.update()}

attach(x:Observer)detach(x: Observer)notify()

Class Diagram for Observer Design Pattern

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

:ConcreteSubjectt1:ConcreteObserver

attach(t1)

update()

t2:ConcereteObserver

attach(t2)

notify()

update()

Changes State

A Sequence Diagram For Observer Design Pattern

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Some observations

• A subject and the respective observers need minimal information on each other.

• In fact, they need to implement the required operations (attach, detach, notify, update), but that’s about that.

• This way, we get a high level of independence in their implementations.

Software Engineering – http://www.cs.uta.fi/se

Un

iversity of T

amp

ere, CS

D

epartm

ent

Jyrki Nu

mm

enm

aa

Subject {abstract}

Subject {abstract}

Object {abstract}

Object {abstract}

update() {abstract}update() {abstract}

GameModelGameModel

GameGUIGameGUI

update()update()

observes

*

registersfor all g in observes { g.update()}

attach(x:Observer)detach(x: Observer)notify()

Applying The Observer Design Pattern

Controller?