Software design is the process of envisioning and defining software solutions to one or more sets of problems. One of the main components of software design is the software requirements analysis (SRA).
The document discusses key concepts in software design including abstraction, architecture, patterns, modularity, coupling and cohesion, and information hiding. It defines software design as transforming user requirements into an implementable form using programming languages. The software design process exists between requirements and programming and yields architectural, high-level, and detailed designs. It also outlines characteristics of good design like correctness, efficiency, and understandability.
This document discusses fundamentals of software engineering design. It explains that design creates a representation of software that provides implementation details beyond an analysis model. Four design models are described: data design, architectural design, user interface design, and component-level design. Design principles, concepts like abstraction and patterns are explained. Tools like CASE tools can support design, and evaluation ensures a quality design. A design specification document formally specifies the design.
1. The document discusses key concepts in software design including transforming customer requirements into an implementable form, designing modules, control relationships, interfaces, data structures, and algorithms.
2. It also covers preliminary and detailed design phases, where preliminary design identifies modules and relationships, and detailed design specifies data structures and algorithms.
3. Design principles like abstraction, refinement, modularity, architecture, control hierarchy, and information hiding are explained as important concepts for creating a complete design model.
The document discusses key concepts in software design including abstraction, modularity, information hiding, functional independence, and refactoring. It also covers design patterns, architectural patterns, data abstraction, procedural abstraction, architecture, and principles of good modular design.
Software design is an iterative process that translates requirements into a blueprint for constructing software. It involves understanding the problem from different perspectives, identifying solutions, and describing solution abstractions using notations. The design must satisfy users and developers by being correct, complete, understandable, and maintainable. During the design process, specifications are transformed into design models describing data structures, architecture, interfaces, and components, which are reviewed before development.
The document discusses various aspects of software design including the design process, concepts, models, heuristics, and styles. It describes software design as translating requirements into a finished product through iterative refinement. Key aspects covered include data/class design, architectural design, interface design, component design, abstraction, modularity, patterns, and information hiding. Architectural styles provide patterns for creating system architecture for given problems.
The document discusses key concepts in software design including the design process, design models, translating requirements to design, and quality attributes. It describes how design brings together requirements, business needs, and technical considerations to provide a blueprint for software construction. The design model includes data structures, architecture, interfaces, and components. Translating requirements involves creating class, architectural, interface, and component designs. Quality is assessed based on functionality, usability, reliability, performance, and other attributes.
The document discusses software design concepts and principles including:
1. Software design is an iterative process that translates requirements into a system blueprint. Initial designs have a high level of abstraction that is refined through iterations.
2. Key design concepts include abstraction, modularity, architecture, patterns, and information hiding. Architectural styles include data-centered, data flow, call-and-return, and object-oriented.
3. The design process involves representing the system context, defining archetypes, refining the architecture into components, and describing system instantiations. Architectural mapping uses data flow diagrams to guide the design structure.
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Function Oriented and Object Oriented Design,Modularization techniquesnimmik4u
ย
Design activity & its objectives โ Function Oriented and Object Oriented Design- Modularization techniques - module structure and its representation, interface and information hiding, categories, specific techniques to accommodate change, stepwise refinement, top-down and bottom-up design - Handling anomalies.
The document discusses key concepts in software design including:
1) Design creates representations of software architecture, data structures, interfaces and components that provide details for implementation beyond what is in requirements.
2) Design allows modeling of a system before implementation to assess quality.
3) Good design should exhibit firmness, commodity, and delight according to a "software design manifesto."
The document discusses key concepts in design modeling for software engineering projects, including:
- Data/class design transforms analysis models into design class structures and data structures.
- Architectural design defines relationships between major software elements and how they interact.
- Interface, component, and other designs further refine elements from analysis into implementation-specific details.
- Design principles include traceability to analysis, avoiding reinventing solutions, and structuring for change and graceful degradation.
The document discusses various aspects of design modeling for software engineering projects. It describes how the design model builds upon the analysis model by refining and adding more implementation details to elements like data design, architectural design, interface design, and component design. It also covers important design concepts like abstraction, architecture, patterns, modularity, information hiding, and functional independence. Quality guidelines for software design are provided along with principles of object-oriented design.
The document discusses key concepts in software design, including:
- Design involves modeling the system architecture, interfaces, and components before implementation. This allows assessment and improvement of quality.
- Important design concepts span abstraction, architecture, patterns, separation of concerns, modularity, information hiding, and functional independence. Architecture defines overall structure and interactions. Patterns help solve common problems.
- Separation of concerns and related concepts like modularity and information hiding help decompose problems into independently designed and optimized pieces to improve manageability. Functional independence means each module has a single, well-defined purpose with minimal interaction.
Lecture # 8 software design and architecture (SDA).pptesrabilgic2
ย
This document provides an overview of software design and architecture. It discusses major areas of concern like data, architecture, interface, and component design. Good design is the foundation for quality software and should implement requirements, be readable, and provide a complete implementation picture. General guidelines include using design patterns and logically partitioning components. Key principles are avoiding tunnel vision and reviewing design. The design process transforms analysis models into data structures, program structure, interfaces, and procedural details through techniques like abstraction, modularity, hierarchy, and information hiding.
This document provides an overview of the software design process. It discusses that design is where creativity and technical considerations come together to model a product or system. Software engineers conduct design tasks to create a design model that provides architectural and implementation details needed to build the system. The design model is important because it can be assessed before development to improve quality. The design process involves modeling the architecture, interfaces, and components. The primary work product is a design model representing these views. Throughout the iterative design process, quality is evaluated against requirements and guidelines.
The document discusses object-oriented design and its role in software development. It describes how design builds upon analysis to provide implementation details. Key aspects of object-oriented design include defining a multilayered architecture, specifying subsystems and components, describing classes and objects, and defining communication mechanisms. The input to design comes from artifacts created in analysis like use cases and class models. The output of design serves as a blueprint to guide construction.
The document discusses key principles of software design including data design, architectural design, user interface design, abstraction, refinement, modularity, software architecture, control hierarchy, structural partitioning, software procedure, and information hiding. These principles provide a foundation for correctly designing software and translating analysis models into implementable designs.
This document discusses software design principles and activities. It notes that requirements analysis should minimize design assumptions while ensuring consistency with technology. Analysis and design are interwoven. Design models refine analysis models with more implementation details. Design engineering starts with data/class design and includes architectural, interface, and component level design. The design must implement requirements and accommodate implicit needs while being understandable. A good design exhibits recognizable architecture and patterns, modularity, and distinct data, architecture, interface and component representations.
The document discusses key concepts in design engineering for software. It covers principles like abstraction, refinement, modularity, architecture, and information hiding that are important for developing high quality software. It emphasizes that software design is an iterative process of translating requirements into lower levels of abstraction until implementation. The goals of design are to implement all requirements, provide an understandable guide for developers and testers, and give a complete picture of the software from an implementation perspective. Guidelines are provided for characteristics of good design like modularity, distinct representations, and deriving the design from requirements analysis.
The document discusses software design engineering. It describes how the analysis model is translated into a design model through data/class design, architectural design, interface design, and component-level design. It outlines characteristics of good design such as readability, completeness, and exhibiting recognizable architectural styles/patterns. The document also discusses design concepts like abstraction, architecture/patterns, modularity, information hiding, and functional independence. It provides examples of procedural and data abstraction, and the refinement process.
The document discusses various aspects of software design including the design process, concepts, models, heuristics, and styles. It describes software design as translating requirements into a finished product through iterative refinement. Key aspects covered include data/class design, architectural design, interface design, component design, abstraction, modularity, patterns, and information hiding. Architectural styles provide patterns for creating system architecture for given problems.
The document discusses key concepts in software design including the design process, design models, translating requirements to design, and quality attributes. It describes how design brings together requirements, business needs, and technical considerations to provide a blueprint for software construction. The design model includes data structures, architecture, interfaces, and components. Translating requirements involves creating class, architectural, interface, and component designs. Quality is assessed based on functionality, usability, reliability, performance, and other attributes.
The document discusses software design concepts and principles including:
1. Software design is an iterative process that translates requirements into a system blueprint. Initial designs have a high level of abstraction that is refined through iterations.
2. Key design concepts include abstraction, modularity, architecture, patterns, and information hiding. Architectural styles include data-centered, data flow, call-and-return, and object-oriented.
3. The design process involves representing the system context, defining archetypes, refining the architecture into components, and describing system instantiations. Architectural mapping uses data flow diagrams to guide the design structure.
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Function Oriented and Object Oriented Design,Modularization techniquesnimmik4u
ย
Design activity & its objectives โ Function Oriented and Object Oriented Design- Modularization techniques - module structure and its representation, interface and information hiding, categories, specific techniques to accommodate change, stepwise refinement, top-down and bottom-up design - Handling anomalies.
The document discusses key concepts in software design including:
1) Design creates representations of software architecture, data structures, interfaces and components that provide details for implementation beyond what is in requirements.
2) Design allows modeling of a system before implementation to assess quality.
3) Good design should exhibit firmness, commodity, and delight according to a "software design manifesto."
The document discusses key concepts in design modeling for software engineering projects, including:
- Data/class design transforms analysis models into design class structures and data structures.
- Architectural design defines relationships between major software elements and how they interact.
- Interface, component, and other designs further refine elements from analysis into implementation-specific details.
- Design principles include traceability to analysis, avoiding reinventing solutions, and structuring for change and graceful degradation.
The document discusses various aspects of design modeling for software engineering projects. It describes how the design model builds upon the analysis model by refining and adding more implementation details to elements like data design, architectural design, interface design, and component design. It also covers important design concepts like abstraction, architecture, patterns, modularity, information hiding, and functional independence. Quality guidelines for software design are provided along with principles of object-oriented design.
The document discusses key concepts in software design, including:
- Design involves modeling the system architecture, interfaces, and components before implementation. This allows assessment and improvement of quality.
- Important design concepts span abstraction, architecture, patterns, separation of concerns, modularity, information hiding, and functional independence. Architecture defines overall structure and interactions. Patterns help solve common problems.
- Separation of concerns and related concepts like modularity and information hiding help decompose problems into independently designed and optimized pieces to improve manageability. Functional independence means each module has a single, well-defined purpose with minimal interaction.
Lecture # 8 software design and architecture (SDA).pptesrabilgic2
ย
This document provides an overview of software design and architecture. It discusses major areas of concern like data, architecture, interface, and component design. Good design is the foundation for quality software and should implement requirements, be readable, and provide a complete implementation picture. General guidelines include using design patterns and logically partitioning components. Key principles are avoiding tunnel vision and reviewing design. The design process transforms analysis models into data structures, program structure, interfaces, and procedural details through techniques like abstraction, modularity, hierarchy, and information hiding.
This document provides an overview of the software design process. It discusses that design is where creativity and technical considerations come together to model a product or system. Software engineers conduct design tasks to create a design model that provides architectural and implementation details needed to build the system. The design model is important because it can be assessed before development to improve quality. The design process involves modeling the architecture, interfaces, and components. The primary work product is a design model representing these views. Throughout the iterative design process, quality is evaluated against requirements and guidelines.
The document discusses object-oriented design and its role in software development. It describes how design builds upon analysis to provide implementation details. Key aspects of object-oriented design include defining a multilayered architecture, specifying subsystems and components, describing classes and objects, and defining communication mechanisms. The input to design comes from artifacts created in analysis like use cases and class models. The output of design serves as a blueprint to guide construction.
The document discusses key principles of software design including data design, architectural design, user interface design, abstraction, refinement, modularity, software architecture, control hierarchy, structural partitioning, software procedure, and information hiding. These principles provide a foundation for correctly designing software and translating analysis models into implementable designs.
This document discusses software design principles and activities. It notes that requirements analysis should minimize design assumptions while ensuring consistency with technology. Analysis and design are interwoven. Design models refine analysis models with more implementation details. Design engineering starts with data/class design and includes architectural, interface, and component level design. The design must implement requirements and accommodate implicit needs while being understandable. A good design exhibits recognizable architecture and patterns, modularity, and distinct data, architecture, interface and component representations.
The document discusses key concepts in design engineering for software. It covers principles like abstraction, refinement, modularity, architecture, and information hiding that are important for developing high quality software. It emphasizes that software design is an iterative process of translating requirements into lower levels of abstraction until implementation. The goals of design are to implement all requirements, provide an understandable guide for developers and testers, and give a complete picture of the software from an implementation perspective. Guidelines are provided for characteristics of good design like modularity, distinct representations, and deriving the design from requirements analysis.
The document discusses software design engineering. It describes how the analysis model is translated into a design model through data/class design, architectural design, interface design, and component-level design. It outlines characteristics of good design such as readability, completeness, and exhibiting recognizable architectural styles/patterns. The document also discusses design concepts like abstraction, architecture/patterns, modularity, information hiding, and functional independence. It provides examples of procedural and data abstraction, and the refinement process.
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If the question is, "How will society survive wildfires moving forward?" wildfire-adapted communities are a promising answer. According to the Fire Adapted Communities Learning Network, "A fire-adapted community is a community that understands its risk and takes action before, during, and after the fire in order for their community to be more resilient to wildfire." If fire-adapted communities have the potential to be effective, how are they brought into being? The prior introduces the very question this theoretical discussion-based lecture seeks to explore on April 30th at 10 a.m. - 11:30:00 p.m. MDT.
Former Hotshot and winner of the National Park Service's Fuels and Ecology Award for Promoting Fire-Adapted Human Communities, Gregory Vigneaux draws on years of research to examine two modes of wildfire-adapted community change: transitions and refining the present. Attendees will be introduced to the unique pathways, dynamics, and concepts that shape each mode. The talk begins by discussing place before discussing how place is dwelled in and what that means for change.
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The Irrational City | Unseen Forces of PlacemakingLeanne Munyori
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What if cities werenโt built for how people liveโbut for how planners think they should?
We explored Nairobiโs evolving urban form through the lens of behavioral economics and environmental psychology. The Irrational City challenges conventional planning paradigms by revealing how emotion, perception, and cognitive bias shape how we experience and respond to the built environment.
Drawing from principles of irrational decision-making, place attachment, and choice architecture, this talk questions:
โ Why do some places feel safe, others alienating?
โ How does infrastructure influence behavior, intentionally or not?
โ Can we design cities not just for function, but for feeling?
From expressways to the feauture park, Nairobi offers a live case study in how unconscious design decisions affect well-being, identity, and belonging. This presentation is for architects, planners, designers, and anyone curious about cities as emotional ecosystemsโnot just physical ones.
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software engineering unit-3 in software engineering
1. MALLA REDDY INSTITUTE OF TECHNOLOGY AND
SCIENCE
CS502PC: SOFTWARE ENGINEERING
III YEAR B.TECH. CSE/IT I - SEM
(JNTUH-R18)
UNIT-III
2. ๏ต Design Engineering : Design process and Design
quality, Design concepts, the design model.
๏ต Creating an architectural design : Software
architecture, Data design, Architectural styles and
patterns, Architectural Design, conceptual model of
UML, basic structural modeling, class diagrams,
sequence diagrams, collaboration diagrams, use case
diagrams, component diagrams.
3. Design Engineering
๏ตDesign engineering encompasses the set of principles, concepts,
and practices that leads to the development of a high- quality system
or product.
What is design?
๏ตDesign is what virtually every engineer wants to do.
๏ตIt is the place where creativity rules โ customerโs requirements,
business needs, and technical considerations all come together in the
formulation of a product or a system.
Why is it important?
๏ตDesign allows a software engineer to model the system or product
that is to be built.
๏ตDesign is the place where software quality is established.
4. DESIGN PROCESS AND DESIGN QUALITY:
Software design is an iterative process through which requirements are
translated into a โblueprintโ for constructing the software.
Goals of design:
๏ตThe design must implement all of the explicit requirements contained in
the analysis model .
๏ตThe design must be a readable, understandable guide.
๏ตThe design should provide a complete picture of the software
Quality guidelines:
๏ตA design should exhibit an architecture that ,
๏ต a. has been created using recognizable architectural styles or patterns
๏ต b. is composed of components that exhibit good design
characteristics and
๏ต c. can be implemented in an evolutionary fashion, thereby facilitating
implementation and testing.
๏ตA design should be modular.
๏ตA design should contain distinct representation of data, architecture,
interfaces and components.
5. ๏ต lead to data structures that are appropriate for the classes to be
implemented .
๏ต lead to components that exhibit independent functional characteristics.
๏ต lead to interface that reduce the complexity of connections between
components and with the external environment.
๏ต should be derived using a repeatable method that is driven by information
obtained during software requirements analysis.
๏ต should be represented using a notation that effectively communicates its
meaning.
Quality attributes: (FURPS)
๏ต Functionality
๏ต Usability
๏ต Reliability
๏ต Performance
๏ต Supportability
6. DESIGN CONCEPTS:
Fundamental software design concepts provide the necessary
framework for โgetting it right.โ
1. Abstraction: Many levels of abstraction are there,
๏ต At the highest level of abstraction, a solution is stated in broad
terms using the language of the problem environment.
๏ต At lower levels of abstraction, a more detailed description of the
solution is provided.
๏ต A procedural abstraction refers to a sequence of instructions
that have a specific and limited function.
๏ต A data abstraction is a named collection of data that describes a
data object.
7. 2. Architecture:
๏ตthe overall structure of the software and the ways in which that structure
provides conceptual integrity for a system
๏ต Structured models - organized collection of program components.
๏ต Framework models - increase the level of design abstraction.
๏ต Dynamic models - address the behavioral aspects of the program
architecture, indicating how the structure or system configuration
may change as a function external events.
๏ต Process models - focus on the design of the business or technical
process that the system must accommodate.
๏ต Functional models - can be used to represent the functional
hierarchy of a system.
8. 3. Patterns:
๏ตa design pattern describes a design structure that solves a particular
design within a specific context and amid โforcesโ that may have an
impact on the manner in which the pattern is applied and used.
๏ตThe intent of each design pattern is to provide a description that
enables a designer to determine
1) Whether the pattern is capable to the current work,
2) Whether the pattern can be reused,
3) Whether the pattern can serve as a guide for developing a
similar, but functionally or structurally different pattern.
9. 4. Modularity
๏ตsoftware is divided into separately named and addressable
components, sometimes called modules that are integrated to satisfy
problem requirements.
5. Information Hiding:
๏ตinformation contained within a module is inaccessible to other
modules that have no need for such information.
6. Functional Independence:
๏ตdirect outgrowth of modularity and the concepts of abstraction and
information hiding.
๏ตIndependence is assessed using two qualitative criteria: cohesion and
coupling.
๏ต Cohesion is an indication of the relative functional strength of a
module.
๏ต Coupling is an indication of the relative interdependence among
modules.
10. 7. Refinement:
๏ตA program is development by successively refining levels of procedural
detail.
๏ตRefinement is actually a process of elaboration.
8. Refactoring:
๏ตRefactoring is a reorganization technique that simplifies the design of a
component without changing its function or behavior.
9. Design classes:
๏ตThe software team must define a set of design classes that ,
๏ต 1. Refine the analysis classes by providing design detail that will
enable the classes to be implemented, and
๏ต 2. Create a new set of design classes that implement a software
infrastructure to support the design solution.
11. Five different types of design classes ,
๏ตUser interface classes: define all abstractions that are necessary for
human computer interaction.
๏ตBusiness domain classes: are often refinements of the analysis classes
defined earlier.
๏ตProcess classes implement lower โ level business abstractions required
to fully manage the business domain classes.
๏ตPersistent classes represent data stores that will persist beyond the
execution of the software.
๏ตSystem classes implement software management and control functions
that enable the system to operate and communicate within its computing
environment and with the outside world.
Four characteristics of a well- formed design class,
๏ต Complete and sufficient
๏ต Primitiveness
๏ต High cohesion
๏ต Low coupling
13. i. Data design elements:
๏ตcreates a model of data and/or information that is represented at a high
level of abstraction.
๏ตThe structure of data has always been an important part of software
design.
๏ต At the program component level
๏ต At the application level
๏ต At the business level
ii. Architectural design elements:
๏ตThe architectural design for software is the equivalent to the floor plan
of a house. The architectural model is derived from three sources.
๏ต a. Information about the application domain for the software to be
built.
๏ต b. Specific analysis model elements, and
๏ต c. The availability of architectural patterns.
14. iii. Interface design elements:
๏ตequivalent to a set of detailed drawings for the doors, windows, and
external utilities of a house.
๏ตThere are 3 important elements of interface design:
๏ต a. The user interface(UI);
๏ต b. External interfaces to other systems, devices, networks, or other
produces or consumers of information; and
๏ต c. Internal interfaces between various design components.
iv. Component- level design elements:
๏ตIt is equivalent to a set of detailed drawings.
๏ตThe component-level design for software fully describes the internal
detail of each software component.
v. Deployment-level design elements:
๏ตIt indicates how software functionality and subsystems will be allocated
within the physical computing environment that will support the
software.
15. ARCHITECTURAL DESIGN
SOFTWARE ARCHITECTURE:
What Is Architecture?
๏ตArchitectural design represents the structure of data and program
components that are required to build a computer-based system.
๏ตThe design of software architecture considers two levels of the design
pyramid
๏ต - data design
๏ต - architectural design.
Why Is Architecture Important?
๏ตRepresentations of software architecture are an enabler for communication
between all parties (stakeholders) interested in the development of a
computer-based system.
๏ตThe architecture highlights early design decisions that will have a
profound impact on all software engineering work that follows and, as
important, on the ultimate success of the system as an operational entity.
๏ตArchitecture โconstitutes a relatively small, intellectually graspable model
of how the system is structured and how its components work togetherโ .
16. DATA DESIGN:
๏ตtranslates data objects as part of the analysis model into data structures
at the software component level and, when necessary, a database
architecture at the application level.
1.Data design at the Architectural Level:
๏ตThe challenge for a business has been to extract useful information from
this data environment, particularly when the information desired is cross
functional.
2. Data design at the Component Level:
๏ตfocuses on the representation of data structures that are directly accessed
by one or more software components.
17. The following set of principles for data specification:
1. The systematic analysis principles applied to function and
behavior should also be applied to data.
2. All data structures and the operations to be performed on each
should be identified.
3. A data dictionary should be established and used to define both
data and program design.
4. Low-level data design decisions should be deferred until late in
the design process.
5. The representation of data structure should be known only to
those modules that must make direct use of the data contained within the
structure.
6. A library of useful data structures and the operations that may be
applied to them should be developed.
7. A software design and programming language should support the
specification and realization of abstract data types.
18. ARCHITECTURAL STYLES AND PATTERNS:
๏ตThe software that is built for computer-based systems also exhibits one
of many architectural styles.
๏ตEach style describes a system category that encompasses
(1) A set of components
(2) A set of connectors
(3) Constraints
(4) Semantic models
An architectural pattern, imposes a transformation the design of
architecture. However, a pattern differs from a style in a number of
fundamental ways:
(1) The scope of a pattern is less broad, focusing on one aspect of the
architecture rather than the architecture in its entirety.
(2) A pattern imposes a rule on the architecture, describing how the
software will handle some aspect of its functionality at the infrastructure
level.
(3) Architectural patterns tend to address specific behavioral issues
within the context of the architectural
19. 1. A Brief Taxonomy of Styles and Patterns
Data-centered architectures:
23. 2. Architectural Patterns:
๏ตThe architectural patterns for software define a specific approach for
handling some behavioral characteristics of the system,
๏ต Concurrency
๏ต operating system process management pattern
๏ต task scheduler pattern
๏ต Persistence
๏ต a database management system pattern
๏ต an application level persistence pattern
๏ต Distribution
๏ตOrganization and Refinement:
๏ต it is important to establish a set of design criteria that can be
used to assess an architectural design that is derived.
25. ii. Defining Archetypes:
๏ตAn archetype is a class or pattern that represents a core
abstraction that is critical to the design of architecture for the
target system.
26. iii. Refining the Architecture into Components:
๏ตAs the architecture is refined into components, the structure of the
system begins to emerge.
28. A Conceptual Model of UML :
๏ตUML is a standard language for specifying, visualizing, constructing,
and documenting the artifacts of software systems.
Object-Oriented Concepts
๏ตUML can be described as the successor of object-oriented (OO) analysis
and design.
๏ตFollowing are some fundamental concepts of the object-oriented world,
๏ตObjects โ Objects represent an entity and the basic building block.
๏ตClass โ Class is the blue print of an object.
๏ตAbstraction โ Abstraction represents the behavior of an real world
entity.
๏ตEncapsulation โ Encapsulation is the mechanism of binding the data
together and hiding them from the outside world.
๏ตInheritance โ Inheritance is the mechanism of making new classes from
existing ones.
๏ตPolymorphism โ It defines the mechanism to exists in different forms.
29. OO Analysis and Design:
๏ตOO can be defined as an investigation and to be more specific, it is the
investigation of objects. Design means collaboration of identified objects.
๏ตThe purpose of OO analysis and design can described as โ
๏ต Identifying the objects of a system.
๏ต Identifying their relationships.
๏ต Making a design, which can be converted to executables using OO
languages.
๏ตThere are three basic steps where the OO concepts are applied and
implemented. The steps can be defined as,
OO Analysis โ OO Design โ OO implementation using OO languages
30. Basic Structural Modeling:
๏ตStructural modeling captures the static features of a system. They consist
of the following โ
๏ต Classes diagrams
๏ต Objects diagrams
๏ต Deployment diagrams
๏ต Package diagrams
๏ต Composite structure diagram
๏ต Component diagram
๏ตStructural model represents the framework for the system and this
framework is the place where all other components exist.
31. Class Diagram:
๏ตClass diagram is a static diagram that shows a collection of classes,
interfaces, associations, collaborations, and constraints.
Purpose of Class Diagrams
๏ต Analysis and design of the static view of an application.
๏ต Describe responsibilities of a system.
๏ต Base for component and deployment diagrams.
34. Use Case Diagram:
๏ตIt is used to represent the dynamic behavior of a system.
๏ตIt encapsulates the system's functionality by incorporating use cases,
actors, and their relationships.
Purpose of Use Case Diagrams
1. It gathers the system's needs.
2. It depicts the external view of the system.
3. It recognizes the internal as well as external factors that influence
the system.
4. It represents the interaction between the actors.
Some rules that must be followed while drawing a use case diagram:
1. A pertinent and meaningful name should be assigned to the actor
or a use case of a system.
2. The communication of an actor with a use case must be defined in
an understandable way.
3. Specified notations to be used as and when required.
4. The most significant interactions should be represented among the
multiple no of interactions between the use case and actors.
37. Component diagram:
๏ตused to model the physical aspects of a system.
๏ตPhysical aspects are the elements such as executables, libraries, files,
documents, etc. which reside in a node.
Purpose of Component Diagrams
๏ต Visualize the components of a system.
๏ต Construct executables by using forward and reverse engineering.
๏ต Describe the organization and relationships of the components.