By DrinkableMilkBy DrinkableMilk10.29.200810.29.2008

Group MembersGroup Members

Chen Qiushi

Cen Yunsi

Wu Lezhen

Lin YanmeiZhang Chen

Zeng Ting

AgendaAgenda

AgendaAgenda

TaskTask▫A Milk Supply ChainA Milk Supply Chain▫Different Different RolesRoles

Manager(=Plant), customer, and Manager(=Plant), customer, and farmerfarmer

▫InteractionsInteractions Between Roles: Between Roles: Ordering, supplying , producing milk…Ordering, supplying , producing milk…

▫SequencesSequences Exist Between Exist Between FunctionsFunctions

Details of Sequences•0. Login in different roles•1. Customer orders some milk to a certain

plant•2. Milk plant calculates the volume of milk•3. Milk plant asks milk farmer to supply milk•4. Milk farmer takes time to deliver his milk

to milk plant•5. Save the processes above

•Done!

AgendaAgenda

Task :A Milk Supply Task :A Milk Supply ChainChain

▫ Different Different RolesRoles Manager(=Plant), Manager(=Plant),

customer, and farmercustomer, and farmer

▫ InteractionsInteractions Between Between Roles:Roles: Ordering, milking , Ordering, milking ,

order processing …order processing …

▫ SequencesSequences Exist Exist Between Between FunctionsFunctions

Customer

Manager

Farmer

Milking

Ordering

Order Processing

Login

• Sequences of function Sequences of function • 0. Login in different

roles• 1. Customer orders

some milk to a certain plant

• 2. Milk plant calculates the volume of milk

• 3. Milk plant asks milk farmer to supply milk

• 4. Milk farmer takes time to milk and deliver his milk to milk plant

• 5. Save the processes above

•Done!Done!

Customer

Login

Plant

Farmer

Finishing

Milking

OrderingOrderToFarmer

OrderToPlant

Report

MilkProcessin

g

Initial

Customer

Login

Plant

Farmer

Finishing

Milking

Ordering

OrderToFarmer

OrderToPlantReport

Milk

Processing

Initial

Process ModelProcess Model• A model with a set of A model with a set of entitiesentities and a set of and a set of

activities activities scheduled according to scheduled according to particular particular sequences sequences and particular and particular constraintsconstraints

Process Model DesignProcess Model Design

•Detailed Process Design▫Functions▫ parameters▫return values…

Function Name

Description Input parameters

Return values

…

MilkCow Get milk from cows

Cow's ID, farmer's money

volume of milk

HealCow Improve cow's health state

cow's ID, heal method

Cow's health state level

…

Process Model DesignProcess Model Design

Function Name

Description Input parameters

Return values …

MilkCow Get milk from cows

Cow's ID, farmer's money

volume of milk

HealCow Improve cow's health state

cow's ID, heal method

Cow's health state level

…

Model Design ToolsModel Design Tools

Flow chart Flow chart

Petri net Petri net

OPNOPN

From www.wikipedia.com

From www.baidu.com

•A network of objects and processes connected by relationships, so called OPN(Object - Process - Network)

OPNOPN

ObjectProcess

Farmer MilkingMilk

Token's key/valueToken's key/value

Farmer_ID Credit ...

1 100 ...

Process:do operationsProcess:do operations

Farmer_ID Credit ...

1 100 ...

Farmer_ID Credit ...

1 90 ...

Farmer_ID Credit Milk_Time ...

1 90 0 ...

Conditions:control the flowConditions:control the flow

Farmer

Credit>85

Milking

Farmer_ID Credit Milk_Time ...

1 90 0 ...

SynchronizationSynchronization

FarmerMilking

Order

Orderto

Farmer

Orderto

Farmer

•OPN is not only a descriptive model language, but also an executable model language.

•Follow this fashion, we specify operations and conditions of the problem.

•Next we will construct our data model.

AgendaAgenda

Data ModelDefinitionCategoriesData model Design

Data ModelData Model A collection of conceptual tools for

description. It describes data, data relationships, data semantics, and consistency constraints.

——From our textbook<DATABASE SYSTEM CONCEPPT>

Based on the

application of different

levels

Data Model Categories

Data Model DesignData Model Design

Data model comes from the process

Data Model DesignData Model Design

Two methods for conceptual design

•Data dictionary

•E-R model

Data Dictionary is a collection of all elements of the process model. It consists of many entries

Data Model Design(1)Data Model Design(1)

•An entry consists of:NameData descriptionData sourceData typeDesign constraintOthers

Name Description Source ···

farmer A person makes money by providing milk···

Login ···

Stock Order milk, send complaints ···

plant or farmer

···

Order The storage is related to orders···

customer

···

•An simple dictionary

•Especially when the size of data set becomes larger.

ER-Model

Data Model Design(2)

Customer

Plant Farmer

MilkOrderPlant_ID

Loc_x

Plant_ID

Loc_x

Loc_yLoc_y

Name

Loc_yPlant_ID

Name

Loc_y

Loc_x

Entity setsRelation setsAttributes

Customer

Plant Farmer

MilkOrder

Plant_ID

Loc_x

Plant_ID

Loc_x

Loc_yLoc_y

Name

Loc_yPlant_ID

Name

Loc_y

Loc_x

E-R model is a kind of conceptual design.

Data Model Design(3)Data Model Design(3)

Data Model Design(3)Data Model Design(3)•Relational Design

Reduce redundancyLosslessnessDependency preservation

•NormalizationFirst Normal FormSecond Normal FormThird Normal FormBoyce-Codd Normal Form

Data Model Design(3)Data Model Design(3)

Our achievement

Procedures After Design…

AgendaAgenda

Testing is the process of executing a program with the intent of finding errors.

—— 《 The Art of Software Testing 》

Glenford J. Myers

Definition Of Testing

Procedure Of Testing

•A test case is a set of test data for the program——data the program must handle correctly to be considered a successful program

(Smallest component element of source code )

•Design of test caseBlack-Box Testing Also data-driven, or input/output-driven testing

White-Box Testing Also logic-driven testing

Test Case

DrinkableMilk.m(*This function gets the value of a certain key in a certain token.@input:token,key@output:value of the key*)

GetTokenValueByKey[token_, key_] :=Block[{valuePosition},valuePosition = Position[token[[5]], key];If[valuePosition == {}, Return[Null],Return[Delete[token[[6, Delete[valuePosition, 0]]],0]]];]

What we’re only

concerned with

Unit Testing Using Munit(1/2)

DrinkableMilk.mttoken = {“”, “”, “”, “”, { “type”, “number” , “time”, “price”, “customer” }, { "A", "1", "3", "10", "B“ }};Test[

GetTokenValueByKey[token, "number"] ‘"1“‘

TestID->"DrinkableMilk-20081026-Q0Z1O9"]

Key

Value

Value

Judgement:(if in Java language:)AssertTrue(GetTokenValueByKey[toke

n, "number"] ==1”)

Unit Testing Using Munit(1/2)

46

Object Precondition Process Postcondition Objec

t

* “OrderAmount”>5

OrderProcessor

“CustomerMoney ”Decreases by 5×unit price *

preconditionGetTokenValueByKey[token,“Or

derAmount“]

PostconditionGetTokenValueByKey[token,“Order

Amount“]

How to test pre/post conditionsHow to test pre/post conditionsHow to test pre/post conditionsHow to test pre/post conditions

SaveIntoDB

_Finish

System testing•Database Before Running•Print out the Running Result

(in computer memory)•Database After Running

Comparison Results:

• Get["DrinkableMilk`DrinkableMilk`"];• RunGraph["1",OPNGraph,200,PR® True];•  • Barrierlogin• {355118,0,{Iss,Pre-1},{275854},{},{}}• 0• 0• BarrierProcessing• {979397,0,{Plant,Pre-4},{877581},{tokenType,plantID,volume,locX,locY},{PLANT,2,15.0,45.0,81.0}}• 0• BarrierProcessing• {554280,0,{OrderToPlant,Pre-3},{263933},

{customerID,demand,farmerID,locX,locXC,locXP,locY,locYC,locYP,need,plantID,tokenType,totalTime},{5,23,NULL,21.,NULL,NULL,21.,NULL,NULL,NULL,NULL,ORDER,NULL}}

• &&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&7• 0• BarrierMilking• {563776,0,{Farmer,Pre-6},{711},{tokenType,farmerID,speed,locX,locY},{FARMER,4,14.0,65.0,43.0}}

BarrierProcessing{554280,0,{OrderToPlant,Pre3},{263933},{customerID,demand,farmerID,OrderID, plantID,totalTime},

{5,23,4,69,2,35399200}}

New Tuple added

New Tuple added

AgendaAgenda

•Background: Application of Dairy Farm System

•Whole process from design to development

▫Step 1: Client v.s. DrinkableMilk Development Group

(DDG) Client puts forward their demands

Review

Review▫Step 2:

DDG deals with the demands Build up conceptual process model

▫Step 3: design the detailed process model Functions, parameters, return values… DDG will generate a …

▫Step 4: Data Model Design (ER Model) Establish conceptual Model and optimize

using…▫Step 5: Mapping to

Relational data model

Process model (NET)Process model (NET)

Activities(NODE)Activities(NODE)

Int CalculatingTime()

Int CalculatingDist()……

Functions (DETAILS)Functions (DETAILS)

Client’s DemandClient’s Demand

Process+Data Model

Process+Data Model

ActivitiesActivities

FunctionsFunctions

▫Step 6: Implementation and Unit test Independently Separately

▫Step 7: Integration test & System test

Review

•Miserable experience before▫Coding without thinking before▫Unclear steps for working on a project.

•A new method▫Process Model and Data Model▫Design and Development

Begin with Process in mind

•THANKS

▫By DrinkableMilke Group▫2008-10-29