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Vendor Name : CIW
Exam Code : 1D0-538
Exam Name : OBJECT ORIENTED ANALYSIS AND DESIGN (JCERT)
Questions and Answers : 112 Q & A
Updated On : March 21, 2019
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1D0-538 exam Dumps Source : OBJECT ORIENTED ANALYSIS AND DESIGN (JCERT)

Test Code : 1D0-538
Test Name : OBJECT ORIENTED ANALYSIS AND DESIGN (JCERT)
Vendor Name : CIW
Q&A : 112 Real Questions

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CIW OBJECT ORIENTED ANALYSIS AND

Object-Oriented analysis and Design | killexams.com Real Questions and Pass4sure dumps

This chapter is from the publication 

analysis emphasizes an investigation of the difficulty and requirements, as opposed to an answer. for example, if a new online trading gadget is favored, how will or not it's used? What are its capabilities?

"evaluation" is a huge term, optimum qualified, as in requirements analysis (an investigation of the necessities) or object-oriented evaluation (an investigation of the domain objects).

Design emphasizes a conceptual answer (in software and hardware) that fulfills the necessities, instead of its implementation. as an example, a description of a database schema and application objects. Design ideas frequently exclude low-degree or "obtrusive" particulars—glaring to the meant patrons. finally, designs can also be implemented, and the implementation (reminiscent of code) expresses the real and complete realized design.

As with evaluation, the time period is highest quality certified, as in object-oriented design or database design.

effective analysis and design had been summarized within the phrase do the right element (analysis), and do the component appropriate (design).


Object-Oriented analysis And Design — Introduction (half 1) | killexams.com Real Questions and Pass4sure dumps

The concept Of Object-Orientation

Object-orientation is what’s called a programming paradigm. It’s not a language itself but a group of concepts that's supported through many languages.

if you aren’t well-known with the ideas of object-orientation, you may additionally take a glance on the Story of Object-Oriented Programming.

If every little thing we do in these languages is object-oriented, it potential, we're oriented or concentrated around objects.

Now in an object-oriented language, this one large application will as an alternative be break up apart into self contained objects, very nearly like having a few mini-programs, every object representing a different part of the software.

and every object includes its own information and its personal common sense, and that they communicate between themselves.

These objects aren’t random. They signify the manner you speak and suppose in regards to the issue you are attempting to remedy to your true lifestyles.

They signify issues like personnel, pictures, bank accounts, spaceships, asteroids, video phase, audio data, or some thing exists on your program.

Object-Oriented analysis And Design (OOAD)

It’s a structured components for inspecting, designing a gadget by means of applying the article-oriented ideas, and boost a collection of graphical equipment models all the way through the construction lifestyles cycle of the utility.

OOAD within the SDLC

The utility lifestyles cycle is customarily divided up into levels going from summary descriptions of the difficulty to designs then to code and checking out and at last to deployment.

The earliest tiers of this manner are analysis (necessities) and design.

The big difference between analysis and design is regularly described as “what Vs how”.

In evaluation developers work with clients and domain specialists to define what the equipment is meant to do. Implementation particulars are speculated to be more often than not or totally left out at this phase.

The aim of the evaluation section is to create a model of the equipment in spite of constraints equivalent to appropriate technology. here is usually performed by way of use cases and abstract definition of essentially the most crucial objects using conceptual model.

The design part refines the analysis model and applies the essential know-how and other implementation constrains.

It makes a speciality of describing the objects, their attributes, habits, and interactions. The design mannequin may still have all of the particulars required in order that programmers can put into effect the design in code.

They’re top-quality carried out in an iterative and incremental software methodologies. So, the activities of OOAD and the developed models aren’t achieved once, we will revisit and refine these steps at all times.

Object-Oriented evaluation

within the object-oriented analysis, we …

  • Elicit requirements: outline what does the utility deserve to do, and what’s the issue the application making an attempt to solve.
  • Specify necessities: Describe the requirements, always, using use instances (and scenarios) or user reports.
  • Conceptual model: identify the critical objects, refine them, and define their relationships and habits and draw them in a simple diagram.
  • We’re now not going to cowl the first two actions, just the ultimate one. These are already explained in aspect in necessities Engineering.

    Object-Oriented Design

    The evaluation phase identifies the objects, their relationship, and conduct using the conceptual model (an summary definition for the objects).

    whereas in design part, we describe these objects (by way of growing category diagram from conceptual diagram — usually mapping conceptual mannequin to classification diagram), their attributes, habits, and interactions.

    in addition to applying the application design concepts and patterns which may be lined in later tutorials.

    The input for object-oriented design is provided through the output of object-oriented evaluation. but, analysis and design may additionally happen in parallel, and the consequences of 1 activity can be used through the different.

    within the object-oriented design, we …

  • Describe the classes and their relationships the usage of class diagram.
  • Describe the interplay between the objects using sequence diagram.
  • observe software design concepts and design patterns.
  • a category diagram gives a visual representation of the courses you want. And here is where you get to be really particular about object-oriented ideas like inheritance and polymorphism.

    Describing the interactions between those objects lets you more advantageous take into account the responsibilities of the diverse objects, the behaviors they deserve to have.

    — different diagrams

    there are lots of other diagrams we can use to model the equipment from diverse views; interactions between objects, constitution of the device, or the habits of the system and how it responds to pursuits.

    It’s all the time about opting for the appropriate diagram for the correct need. you should definitely understand which diagrams will be valuable when pondering or discussing a situation that isn’t clear.

    gadget modeling and the distinctive models we are able to use should be discussed next.

    system Modeling

    equipment modeling is the system of constructing fashions of the system, with each and every model representing a unique views of that system.

    probably the most critical point about a system mannequin is that it leaves out element; It’s an summary illustration of the equipment.

    The models are constantly in response to graphical notation, which is nearly always in line with the notations within the Unified Modeling Language (UML). different fashions of the device like mathematical mannequin; an in depth equipment description.

    fashions are used throughout the analysis system to support to elicit the necessities, during the design method to explain the gadget to engineers, and after implementation to document the device constitution and operation.

    distinctive perspectives

    We may additionally improve a mannequin to represent the gadget from distinct views.

  • external, where you mannequin the context or the ambiance of the gadget.
  • interplay, where you mannequin the interplay between accessories of a device, or between a gadget and different programs.
  • Structural, where you mannequin the corporation of the equipment, or the constitution of the records being processed via the device.
  • Behavioral, the place you mannequin the dynamic behavior of the system and how it reply to pursuits.
  • Unified Modeling Language (UML)

    The unified modeling language develop into the typical modeling language for object-oriented modeling. It has many diagrams, besides the fact that children, the most diagrams which are primary are:

  • Use case diagram: It suggests the interaction between a system and it’s atmosphere (users or programs) inside a selected condition.
  • category diagram: It indicates the distinctive objects, their relationship, their behaviors, and attributes.
  • Sequence diagram: It indicates the interactions between the distinct objects in the device, and between actors and the objects in a equipment.
  • State desktop diagram: It suggests how the gadget reply to external and inside events.
  • activity diagram: It suggests the stream of the statistics between the techniques within the equipment.
  • that you may do diagramming work on paper or on a whiteboard, at the least in the initial ranges of a project. however there are some diagramming equipment that allows you to assist you to draw these UML diagrams.


    The difference Between computing device gaining knowledge of, Deep researching and Science Fiction | killexams.com Real Questions and Pass4sure dumps

    With the realm of synthetic intelligence (AI) establishing so impulsively, it’s no longer superb that many americans are uncertain concerning the change between the a lot of kinds of data analysis and how they could power business. The distinction between desktop studying (ML) and deep learning (DL), as an example, can be somewhat puzzling to the uninitiated, nevertheless it makes all the change for businesses attempting to harness the reams of statistics they compile, notes this opinion piece through Adam Singolda, CEO and founding father of Taboola.

    You’ve heard this earlier than:

    Q: How do you do what you do?

    A: “AI.”

    infrequently a day goes by way of devoid of information of one more company’s latest foray into synthetic intelligence. whereas the value of AI may well be self-evident in purchaser expertise items like Cortana or Spotify, can it actually advantage every little thing from toothbrushes to burger joints or rap lyric era? And is it so handy to do that any company under the sun has AI in their tagline?  How will we separate “actual” Deep learning (AI) from advertising and marketing science fiction (SF)?

    most likely an outstanding first step is to define some keyword phrases. There are two familiar methods that are sometimes confused or used interchangeably: traditional machine gaining knowledge of and deep studying, also referred to as “AI.” ML calls on engineers to pre-outline what patterns they’re hunting for within the facts, (i.e. “individuals who did this also did that”). DL, alternately, makes use of advanced “neural networks” that proactively discover new patterns and get superior over time. but greater importantly, it requires a whole diverse engineering frame of mind (“the magic”). extra on that magic under.

    normal ML isn't AI

    DL is AI. Most corporations don’t use DL/AI.

    Neural networks have powered some actually existence-changing breakthroughs in recent years. Translation functions empower people to toggle languages with the click on of a mouse, heralding a global where language barriers are a element of the past. however why stop at just alphabetic language: in the future soon, DL pattern recognition might also even assist us infer what children, or even our pets, try to express however unable to articulate. In medicine, biometric recognition utility is already forging greater seamless connections between people and their gadgets, helping medical doctors better diagnose diseases earlier than they show up or metastasize. DL based computing device vision will soon make Elon Musk’s dream of self reliant cars a reality (however I feel just a little in a different way).

    Given this progressive potential, there is decent reason for why all and sundry and their cousin looks to be adding AI to their pitch or marketing strategy, and we would all do the same. The prize isn't small — McKinsey predicts that by 2020, AI will create north of $13 trillion in market cost. corporations reminiscent of Netflix and IBM, or products like Cortana and Alexa, tens of billions have already been generated from an AI-powered personalization economic climate enabling individuals to enhanced curate their everyday life.

    “while average ML strategies are now standard throughout industries and even taught in excessive college engineering classes, proper DL methods are actually highly infrequent to find.”

    but as with every gold rush company probability, we should still all be wary of efforts which are greater hype (or science fiction) than substance. while typical ML techniques at the moment are typical throughout industries and even taught in excessive college engineering classes, actual DL strategies are really tremendously infrequent to discover.

    You are aware of it for those who See It

    As Gil Chamiel, Taboola’s head of DL/AI tells me, three issues are required to perform true DL, and that could help commonplace observers, buyers or companions parent between AI and science fiction. the primary two may additionally sound quite straightforward but aren’t at all times convenient to acquire. The third one is the “black magma,” where the magic occurs:

  • access to facts and activity;
  • computational power; and
  • frame of mind.
  • Let’s overview those. First, DL simplest works if there is a certain threshold of environmental exercise. in order for neural networks to discover new patterns, they want a large quantity of records that can also be processed and sorted via trial and error. These inputs fluctuate throughout businesses and industries: for example, Walmart may analyze records from the 100M+ americans entering a store or traveling their site every month, whereas Tesla might focal point on comments generated by thousands of vehicles as they circulate around.

    2d, assuming you have got a significant amount of information, is computational energy. whereas this was once a capital-intensive requirement for companies, fortunately there are various greater economical alternate options in the marketplace these days. Engineering teams can now employ space from cloud hosting services like Azure, rather than having to put money into constructing a wholly new records middle.

    Third, and most significantly, you need engineers that embrace a brand new agile approach of pondering solving an issue, a new mind-set. in many approaches, you’re trying to find engineers that have more endurance and often perseverance, who are inclined to hand over one of the crucial manage to the algorithm. ML strategies require groups to engineer options ahead of time, pre-settling on key factors (similar to obstacle shapes or temperature, if designing an self reliant vehicle); on this planet of DL, engineers must design algorithms that can find new factors you by no means thought to seek ahead of time. as an example, the burden of the car, or wind during a storm, or 10 other components they didn’t consider of formerly.

    Or if you consider of face consciousness as a challenge, on the earth of ML engineers should invest in tasks like part detection and object segmentation to be able to heuristically determine the region of expertise faces in the photograph and circulate that assistance to the gaining knowledge of algorithm. In a DL/AI world, engineers would permit an algorithm to “one way or the other” study many streams of faces and discover attributes that might mean whatever, probably eye colour and others, however seemingly a lot more.

    “on the earth of DL, engineers have to design algorithms that can discover new elements you by no means idea to look for forward of time.”

    This shift in mindset is comparable to what took place within the Eighties with the upward push of object-oriented programming (OOP), a hierarchical method (seen in C++ and Java) that become an enormous departure from the greater procedural methods that came earlier than it (like C or Pascal). if you tried to remedy a problem at the magnitude of translation, or an self reliant automobile, using ML you’d spend a long time trying to consider of the entire factors within the records that remember, you’d build algorithms to look for those — and also you would surely fail. the rise of DL and superior patterning is progressive in its capacity to accelerate the creation of technological solutions we by no means notion solvable, taking a massive step ahead within the mindset of how engineers can resolve an issue.

    The breakthroughs of AI have lengthy felt elusive to general observers. It’s been over twenty years because IBM’s Deep Blue desktop dethroned the world chess champion and raised the specter of clever AI companions. but recent years have eventually ushered in the revolution we’ve been awaiting. Predictive expertise is already saving us time, funds, and in some cases, exact lives. as an example, hospitals are the usage of predictive expertise to reduce re-hospitalization by picking out excessive-chance situations and then allocating extra capabilities similar to put up-discharge visits in the domestic. whereas it’s nevertheless early days, and in fact simplest a very few businesses on the planet are truly advancing AI, there is surely a circulation afoot.

    A revolution is coming — and the future is coming ahead of we suppose — the use of DL/AI, now not ML, and never science fiction.


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    OBJECT ORIENTED ANALYSIS AND DESIGN (JCERT)

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    Object-Oriented Analysis and Design | killexams.com real questions and Pass4sure dumps

    This chapter is from the book 

    Analysis emphasizes an investigation of the problem and requirements, rather than a solution. For example, if a new online trading system is desired, how will it be used? What are its functions?

    "Analysis" is a broad term, best qualified, as in requirements analysis (an investigation of the requirements) or object-oriented analysis (an investigation of the domain objects).

    Design emphasizes a conceptual solution (in software and hardware) that fulfills the requirements, rather than its implementation. For example, a description of a database schema and software objects. Design ideas often exclude low-level or "obvious" details—obvious to the intended consumers. Ultimately, designs can be implemented, and the implementation (such as code) expresses the true and complete realized design.

    As with analysis, the term is best qualified, as in object-oriented design or database design.

    Useful analysis and design have been summarized in the phrase do the right thing (analysis), and do the thing right (design).


    Object-Oriented Analysis And Design — Introduction (Part 1) | killexams.com real questions and Pass4sure dumps

    The Concept Of Object-Orientation

    Object-orientation is what’s referred to as a programming paradigm. It’s not a language itself but a set of concepts that is supported by many languages.

    If you aren’t familiar with the concepts of object-orientation, you may take a look at The Story of Object-Oriented Programming.

    If everything we do in these languages is object-oriented, it means, we are oriented or focused around objects.

    Now in an object-oriented language, this one large program will instead be split apart into self contained objects, almost like having several mini-programs, each object representing a different part of the application.

    And each object contains its own data and its own logic, and they communicate between themselves.

    These objects aren’t random. They represent the way you talk and think about the problem you are trying to solve in your real life.

    They represent things like employees, images, bank accounts, spaceships, asteroids, video segment, audio files, or whatever exists in your program.

    Object-Oriented Analysis And Design (OOAD)

    It’s a structured method for analyzing, designing a system by applying the object-orientated concepts, and develop a set of graphical system models during the development life cycle of the software.

    OOAD In The SDLC

    The software life cycle is typically divided up into stages going from abstract descriptions of the problem to designs then to code and testing and finally to deployment.

    The earliest stages of this process are analysis (requirements) and design.

    The distinction between analysis and design is often described as “what Vs how”.

    In analysis developers work with users and domain experts to define what the system is supposed to do. Implementation details are supposed to be mostly or totally ignored at this phase.

    The goal of the analysis phase is to create a model of the system regardless of constraints such as appropriate technology. This is typically done via use cases and abstract definition of the most important objects using conceptual model.

    The design phase refines the analysis model and applies the needed technology and other implementation constrains.

    It focuses on describing the objects, their attributes, behavior, and interactions. The design model should have all the details required so that programmers can implement the design in code.

    They’re best conducted in an iterative and incremental software methodologies. So, the activities of OOAD and the developed models aren’t done once, we will revisit and refine these steps continually.

    Object-Oriented Analysis

    In the object-oriented analysis, we …

  • Elicit requirements: Define what does the software need to do, and what’s the problem the software trying to solve.
  • Specify requirements: Describe the requirements, usually, using use cases (and scenarios) or user stories.
  • Conceptual model: Identify the important objects, refine them, and define their relationships and behavior and draw them in a simple diagram.
  • We’re not going to cover the first two activities, just the last one. These are already explained in detail in Requirements Engineering.

    Object-Oriented Design

    The analysis phase identifies the objects, their relationship, and behavior using the conceptual model (an abstract definition for the objects).

    While in design phase, we describe these objects (by creating class diagram from conceptual diagram — usually mapping conceptual model to class diagram), their attributes, behavior, and interactions.

    In addition to applying the software design principles and patterns which will be covered in later tutorials.

    The input for object-oriented design is provided by the output of object-oriented analysis. But, analysis and design may occur in parallel, and the results of one activity can be used by the other.

    In the object-oriented design, we …

  • Describe the classes and their relationships using class diagram.
  • Describe the interaction between the objects using sequence diagram.
  • Apply software design principles and design patterns.
  • A class diagram gives a visual representation of the classes you need. And here is where you get to be really specific about object-oriented principles like inheritance and polymorphism.

    Describing the interactions between those objects lets you better understand the responsibilities of the different objects, the behaviors they need to have.

    — Other diagrams

    There are many other diagrams we can use to model the system from different perspectives; interactions between objects, structure of the system, or the behavior of the system and how it responds to events.

    It’s always about selecting the right diagram for the right need. You should realize which diagrams will be useful when thinking about or discussing a situation that isn’t clear.

    System modeling and the different models we can use will be discussed next.

    System Modeling

    System modeling is the process of developing models of the system, with each model representing a different perspectives of that system.

    The most important aspect about a system model is that it leaves out detail; It’s an abstract representation of the system.

    The models are usually based on graphical notation, which is almost always based on the notations in the Unified Modeling Language (UML). Other models of the system like mathematical model; a detailed system description.

    Models are used during the analysis process to help to elicit the requirements, during the design process to describe the system to engineers, and after implementation to document the system structure and operation.

    Different Perspectives

    We may develop a model to represent the system from different perspectives.

  • External, where you model the context or the environment of the system.
  • Interaction, where you model the interaction between components of a system, or between a system and other systems.
  • Structural, where you model the organization of the system, or the structure of the data being processed by the system.
  • Behavioral, where you model the dynamic behavior of the system and how it respond to events.
  • Unified Modeling Language (UML)

    The unified modeling language become the standard modeling language for object-oriented modeling. It has many diagrams, however, the most diagrams that are commonly used are:

  • Use case diagram: It shows the interaction between a system and it’s environment (users or systems) within a particular situation.
  • Class diagram: It shows the different objects, their relationship, their behaviors, and attributes.
  • Sequence diagram: It shows the interactions between the different objects in the system, and between actors and the objects in a system.
  • State machine diagram: It shows how the system respond to external and internal events.
  • Activity diagram: It shows the flow of the data between the processes in the system.
  • You can do diagramming work on paper or on a whiteboard, at least in the initial stages of a project. But there are some diagramming tools that will help you to draw these UML diagrams.


    MET CS 770 Object-Oriented Analysis & Design | killexams.com real questions and Pass4sure dumps

    Last updated: November 13, 2002 Recent updates are often in red.

    Contacting Eric Braude changed if this is red Materials changed if this is red Forums changed if this is red Overview changed if this is red Grading changed if this is red Project Organization changed if this is red Homework and Due Dates changed if this is red        Phase 3 Required Background changed if this is red Learning Objectives changed if this is red Syllabus and Dates for Classes changed if this is red Overview

    A major engineering problem today is the predictable development of reliable software-intensive systems. The object-oriented paradigm is an important part of such development.

    Object-oriented methods can be divided into languages, distribution, and analysis and design. There change in the language category, particularly Java and C#. Distribution includes the use of vendor libraries of classes and also distributed objects as specified by the Object Management Group etc.  Basic to the entire enterprise, however, are analysis and design, which has remained remarkable stable for years. Object-Oriented Analysis and Design includes the overall goals of the object paradigm, the selection of classes, the relationships among them, and their utilization to implement systems.

    Required Background

    A knowledge of C++ or Java (MET CS 565) and software engineering methods (MET CS 673) are required.   It is preferable to have taken Design Patterns (MET CS 665).

    Materials and references

    The recommended textbook is “Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design, and the Unified Process ” by Larman (Prentice Hall) 2nd edition, Published July 2001, 627 pages, ISBN 0130925691.  This is the first time that this instructor has used this book, and it is not clear how much the book will be used.

    The instructor will provide notes for all classes.

    Other references:

  • The Unified Modeling Language User Guide by Booch et al (Prentice Hall) ISBN0-201-57168-4
  • The Unified Modeling Language Reference Manual James Rumbaugh, Ivar Jacobson, Grady Booch Addison-Wesley Pub Co; ISBN: 020130998X
  • Design Patterns by Gamma et al
  • Object-Oriented Software Engineering by I Jacobson
  • Object-Oriented Analysis & Design by G. Booch
  • Modeling the world in data by S. Schlaer and S. Mellor
  • Modeling the world in states by S. Schlaer and S. Mellor
  • The Unified Method draft www.rational.com
  • Object-oriented Analysis by P. Coad and E. Yourdon
  • Object-oriented Design by P. Coad and E. Yourdon
  • Object-oriented Programming by P. Coad and A Nicola
  • Software Engineering: An Object-Oriented Perspective by Eric Braude
  • Learning Objectives

    Students will be able to …

  • … analyze problems from an object perspective
  • … create OO designs which are ready for coding
  • … implement a pilot OO project
  • Grading

    The course will consist of homework and a project, weighted as follows:

    1.      Homework:                  30%

    2.      Project:                        70%

    There are three phases for the project, graded as follows:

  • phase 1 (problem statement):                            1/9
  • phase 2 (analysis):                                             2/9
  • phase 3 (design):                                               1/3
  • phase 4 (implementation and critical review): 1/3
  • Parts are evaluated equally unless otherwise stated.

    Late homework is not accepted unless there is a reason why it was impossible for you. If there is such an impossibility, the work will be graded on a pass/fail basis.

    Project Organization

    You will be required to submit an analyzed, designed and implemented project according to the deadlines shown in the schedule. Detailed requirements will follow.

    With the instructor’s permission, it may be possible to substitute all or part of the project with an investigation of tools for OOA&D such as Rational Rose or Together.  This will require a detailed evaluation and an investigation of how these tools are being used extensively in a particular company.

    Teams two are permitted, and will be evaluated at a higher standard. All members must know all parts.

    You will be required to give a presentation on at least two of the phases in your project.

    Syllabus:

    This syllabus is subject to about 15% modification.

    The order of topics will be driven by the notes, which the instructor will hand out, not by the textbook. The textbook will serve as background and reference.

    Wk. Date Topic Text

    chapters

    Project

    Times are approximate.  See “date homework due” section for final dates

    1 9/3
  • Review Syllabus
  • Review Software Development Process
  • Notes 0-1 Phase 1 assigned 2 9/10
  • Introduction, Overview, and Goals of Design
  • UML as required
  • Extreme programming and refactoring
  • Notes 1-3 3 9/17
  • Requirements I: Use Cases
  • Notes 13 part 1 Presentations;

    Assign phase 2

    4 9/24
  • Requirements II: Sequence Diagrams
  • Notes 13 part 2 Phase 1 due; 5 10/1
  • Requirements III:  Completing Domain Classes
  • Writing Detailed Requirements
  • Review Student Designs
  • Notes 13 part 3

    Larman 10

    6 10/8 Notes 14 part 1 Assign phase 3 7 10/22 To be determined Presentations; Phase 2 due; 8 10/29
  • Review Design Patterns as required
  • Discussion of Tools
  • Review Student Designs
  • Notes 4-6 9 11/5
  • Frameworks
  • Review Student Designs
  • Presentations on architectures 10 11/12
  • Design Topics
  • Review Student Designs
  • Notes 14 part 2 Assign phase 4

    Phase 3 due

    11 11/19 Presentations on detailed designs 12 11/26
  • Detailed Design
  • Review Student Designs
  • Presentations 13 12/3
  • Implementing OO designs
  • Shlaer-Mellor
  • Presentation of results (1 of 2) 14 12/10
  • Presentations on Finished Applications
  • Phase 4 due Presentation of results (2 of 2)
  • Notes are from Software Design (Braude, to be published by Wiley in March 2002)
  • ** Applying UML and Patterns: … (Larman)
  • Dates Homework is due

    Num-ber Name Due date Project phase 1 9/24 1 “Design Issues” 9/17 1 3.4 (Pass Fail) 9/17 Project phase 2: (10/2/2002

    )

    1.Attach first a copy of your phase 1.  Respond specifically to whatever comments I may have made on your phase 1.   You can write these directly on the copy.

    2.

    Show the sequence diagrams for at least the two use cases you have introduced.  Key them to the use case steps, which you should number.3.List requirements by “domain class” paragraphs, including

    — The testable functionality that the application will definitely accomplish

    –What you would like to have the application accomplish if time permits

    Criterion: a. Requirements clearly written. (A = very clear description of application’s goals; no detail omitted)

    4.Provide a class diagram for your project consisting of all of the domain classes as well as the domain packages that you will use.

    Criteria:

    b. Clarity and completeness Sufficiency of key classes for committed requirements and use cases (A = very clear class meanings; no domain class missing no other domain classes required)

    g. Economy (A = no redundancy at all in the class model)

    Here are some typical improvements.

    Most room for improvement

    1.      Make your domain names specific to your application; e.g., PetStoreTransaction, FootballGame, FootballTeam rather than Transaction or Game or Team.

    2.      Use the “entities” section correctly.  This applies when there are specific entities that the application is required to have. It does not include entities that will be created at runtime that you can’t specify entirely at requirements time.

    3.      Many internal classes have corresponding GUI classes.  For example, PetStoreAccount entities may get their data from a PetStoreAccountGUI entity.  Specify the latter in its own category rather than under PetStoreAccount.

    4.      In your requirements, distinguish between the initiator and the substance of functionality.

    For example, under “Courses” a functionality might be “12.1.5 The application shall be able to display the catalog description of each course in the following format …”  (Corresponds to class Course).  Under the “Course GUI” paragraph an event might be “When the display course button is pressed, the functionality described in section 12.1.5 is initated.”  Under the “Student GUI” paragraph an event might be “When the show course button is pressed, the functionality described in section 12.1.5 is initated.” Etc.

    Do not say “12.1.5 When the display course button is pressed on the Course GUI, the application can display the catalog description of each course in the following format …”  Otherwise you will have a maintenance nightmare and a poor mapping to the design and implementation.

    5.

    Room for improvement

    1. Most

    2.

    3.

    4.

    5.

    6.

    7.

    objects are not sensitive to events unless they are GUI objects.  Buttons are examples.  Many objects have functionality that may be invoked as a result of an event on an

    other object.  For example, a customer’s information may be displayed when the button is clicked.  But “display” is a function of Customer: Any one of clients can invoke it, some event-sensitive and others not.  The object with (direct) event reaction is the button, not the customer.

    2. In your requirements document, don’t say “The customer shall include a name …” (which is strange English).  Instead: “The application shall maintain the name of customers ….”

    3. Distinguish between objects and object aggregates.  For example, you could have a “Customers” requirements paragraph with functionality such as “App shall be able to send a customer profile to the central database.”  This will correspond to a class Customer.  You could also have a “Customer List”  paragraph with functionality such as “It shall be possible to add new customers …”  This will correspond to a class such as CustomerList.

    4. Don’t waste words. In particular, give a sentence or two under each paragraph that adds value.

    NOT:

    1.4 Customers

    This section describes the requirements for customers.

    BUT

    1.4 Customers

    The application shall track the customers of the video store as follows. …

    1.

    10/22 3 Clown problem 10/9/02

    Draw a class model for an application for drawing human figures.  The picture shown is a typical product of the application.  The figures are always neck-upward; mouths are always lines, necks always rectangles, etc. – the shapes that appear in the figure.  Assume that the business will never change — but we want to be able to easily upgrade the shop’s capability within these constraints (e.g., draw necks with various colors, new kinds of border lines).  The class model should make figure drawing convenient (e.g., allowing the retrieval of previously constructed figure parts). Show attributes or operations whenever they clarify your solution.  Include useful abstractions (but to extend the current business).

    There is no requirement to take into account the GUI for the application (icons, menu’s etc.)

    Here is a scenario:

    The user … pulls onto the monitor “abeLincolnFace14” (which excludes the ears and neck)

    … adds “ear123” on the left by dragging to its vicinity and releasing

    The application places ear123 in a correct position

    The user invokes the “complete with suitable parts” command.

    The application

    … completes the figure with a neck and hat that it considers most suitable.

    … creates an ear on the right, complete with matching position, interior texture and color, and styles of border lines

    Criteria: a. completeness relative to requirements (A = sufficient classes for requirements, including appropriate generalizations)

    b. economy of classes (A = no more than necessary for requirements)

    10/29 4 14.1 – 14.6 11/5 see more below see below

    Project Phase 3: Due 11/12

    1.  Attach a copy of your phase 2 as graded by me, with specific responses to whatever comments I may have made on your phase 2.

    2. Provide a class diagram for your project, showing inheritance and aggregation.  Show key methods, key dependencies, and inheritance and aggregation.   Use your packages and Facades to avoid a single overwhelming figure.

    3. Show at least one additional model that completes your design.

    Criteria:

    a. Clarity of the model (A = very clear class meanings; very clear organization; no unnecessary details)

    b. Adequacy of class model for effecting the requirements.  (A= detailed enough to clearly allow an implementation that satisfies the requirements.)

    g. Completeness **** of models to specify the entire design. (A=right models selected; clearly no gaps in description)

    Most room for improvement

    1. If you use a data flow diagram, indicate the data types that flow.

    2. If you use a data flow diagram, indicate the functionality at each processing node.

    3. In the interest of clarity, show the relationships among the packages.  You can employ <<uses>> relationships.  Omit the classes from such a figure.

    Room for improvement

    1. In this course we did not give meaning to solid lines with arrows.  Explain what you mean by them, or don’t use them.

    2. Be specific about associations: Do you mean two-way aggregations?

    3. You have introduced a class whose name does not indicate a clear purpose and which is not a domain class.  Explain it’s purpose.

    A Little room for improvement

    1. …..

    Project Phase 4:     Due 12/10

    Section 1 Attach Phases 2 and 3. Response to my comments on phase 3. ( not graded, but required)

    Section 2 Show representative input and output.

    Section 3 Explain the application of all of the steps covered in the notes — explain if they did not apply.

    (criterion: a. Clarity and completeness — A = all relevant steps thoroughly implemented where applicable and explained where not)

    Section 4 Provide a complete class diagram and other appropriate model(s), building on the models you submitted for phase 3.

    (criterion: b. clarity and completeness — A = very clearly chosen and arranged models)

    Section 5 Account of the degree to which you accomplished your requirements as given in phase 2.  Please refer to them by number (e.g., 11.3.5).

    (criterion: g. degree of accomplishment.  A = excellent functional capabilities for a graduate course)

    Section 6. Source code.

    (d. criterion: clarity — A = extremely clear layout & code; each part easily traceable to the corresponding design element)

    Please …

    note that your class diagrams and code must be consistent;

    indicate all differences with prior design decisions;

    indicate all sections using numbered tabs (e.g., Post-it notes)

    Forums — past and present

    Fall 2001

    Fall 2002 email to the group is: 770F02@yahoogroups.com



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