System Models in Software Engineering: A Comprehensive Overview

 
SOFTWARE
 
ENGINEERING
 
UNIT –III (Part - 1)
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Text Book: Software Engineering, A practitioner’s approach
Roger s. Pressman 6th Edition -McGraw-Hill
 
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Context models
 
Behavioural models
 
Data models
 
Object models
 
CASE workbenches
 
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Abstract descriptions of systems
whose requirements are being
analysed.
 
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System modelling helps the analyst to understand the
functionality of the system and models are used to
communicate with customers
 
Different models present the system from different
perspectives
External perspective showing the system’s context or
environment
Behavioural perspective showing the behaviour of the system
Structural perspective showing the system or data architecture
 
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Data flow model showing how the data is processed at
different stages
 
Composition model showing how entities are composed
of other entities
 
Architectural model showing principal subsystems that
make up a system
 
Classification model (Object diagrams) showing how
entities have common characteristics
 
Stimulus/response model showing the system’s reaction
to internal and external events
 
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Context models are used to illustrate the boundaries
of a system
 
Social and organisational concerns may affect the
decision on where to position system boundaries
 
Architectural models show that a system and its
relationship with other systems
 
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Behavioural models are used to describe the
overall behaviour of a system
 
Two types of behavioural models are
Data processing models that show how data is
processed as it moves through the system
State machine models that show the systems
response to events
 
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Data Flow Diagrams model the system from a
functional perspective
 
Tracking and documenting how the data associated
with a process is helpful to develop an overall
understanding of the system
 
Data flow diagrams may also be used in showing the
data exchange between a system and other systems
in its environment
 
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These model the behaviour of the system in
response to external and internal events
 
They show the system’s responses to stimuli so are
often used for modelling real-time systems
 
State machine models show system states as
nodes and events as arcs between these nodes.
When an event occurs, the system moves from one
state to another
 
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Used to describe the logical structure of data
processed by the system
 
Entity-relation-attribute model sets out the entities in
the system, the relationships between these entities
and the entity attributes
 
Widely used in database design. Can readily be
implemented using relational databases
 
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Data dictionaries are lists of all of the names
used in the system models. Descriptions of the
entities, relationships and attributes are also
included
 
Advantages
Support name management and avoid duplication
Store of organisational knowledge linking analysis,
design and implementation
 
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Object models describe the system in terms of object
classes
 
An object class is an abstraction over a set of objects
with common attributes and the services (operations)
provided by each object
 
Various object models may be produced
Inheritance models
Aggregation models
Interaction models
 
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Natural ways of reflecting the real-world entities
manipulated by the system
 
More abstract entities are more difficult to model using
this approach
 
Object class identification is recognised as a difficult
process requiring a deep understanding of the application
domain
 
Object classes reflecting domain entities are reusable
across systems
 
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Organise the domain object classes into a hierarchy
 
Classes at the top of the hierarchy reflect the common
features of all classes
 
Object classes inherit their attributes and services
from one or more super-classes. these may then be
specialised as necessary
 
Class hierarchy design is a difficult process if
duplication in different branches is to be avoided
 
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Devised by the developers of widely used object-
oriented analysis and design methods
 
Has become an effective standard for object-oriented
modelling
 
Notation
Object classes are rectangles with the name at the top, attributes
in the middle section and operations in the bottom section
Relationships between object classes (known as associations) are
shown as lines linking objects
Inheritance is referred to as generalisation and is shown ‘upwards’
rather than ‘downwards’ in a hierarchy
 
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Rather than inheriting the attributes and services from
a single parent class, a system which supports
multiple inheritance allows object classes to inherit
from several superclasses
 
Can lead to semantic conflicts where attributes/
services with the same name in different super-
classes have different semantics
 
Makes class hierarchy reorganisation more complex
 
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A coherent set of tools that is designed to support related
software process activities such as analysis, design,
implementation or testing
 
Analysis and design workbenches support system modelling
during both requirements engineering and system design
 
These workbenches may support a specific design method
or may provide support for creating several different types of
system model
 
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Diagram editors
 
Model analysis and checking tools
 
Repository and associated query language
 
Data dictionary
 
Report definition and generation tools
 
Forms definition tools
 
Import/export facilities
 
Code generation tools
 
Elements Of Computer Science and Engineering
 
Any questions?
 
Thank you
 
Elements Of Computer Science and Engineering
 
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System models play a crucial role in software engineering, aiding in understanding system functionality and communicating with customers. They include context models, behavioural models, data models, object models, and more, each offering unique perspectives on the system. Different types of system models such as data flow, composition, architectural, classification, and stimulus/response models help in representing and analyzing various aspects of a system. Context models illustrate system boundaries, behavioural models describe system behaviors, and architectural models depict system structures and relationships with other systems.

  • Software Engineering
  • System Models
  • Data Flow
  • Architectural Models
  • Behavioural Models

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  1. SOFTWARE ENGINEERING UNIT III (Part - 1) SYSTEM MODELS Text Book: Software Engineering, A practitioner s approach Roger s. Pressman 6th Edition -McGraw-Hill

  2. Topics covered Context models Behavioural models Data models Object models CASE workbenches

  3. System models Abstract whose analysed. descriptions requirements of are systems being

  4. System modelling System modelling helps the analyst to understand the functionality of the system and models are used to communicate with customers Different models present the system from different perspectives External perspective showing the system s context or environment Behavioural perspective showing the behaviour of the system Structural perspective showing the system or data architecture

  5. Types of System Models Data flow model showing how the data is processed at different stages Composition model showing how entities are composed of other entities Architectural model showing principal subsystems that make up a system Classification model (Object diagrams) showing how entities have common characteristics Stimulus/response model showing the system s reaction to internal and external events

  6. Context models Context models are used to illustrate the boundaries of a system Social and organisational concerns may affect the decision on where to position system boundaries Architectural models show that a system and its relationship with other systems

  7. The context of an ATM system

  8. Behavioural models Behavioural models are used to describe the overall behaviour of a system Two types of behavioural models are Data processing models that show how data is processed as it moves through the system State machine models that show the systems response to events

  9. Data-flow Models Data Flow Diagrams model the system from a functional perspective Tracking and documenting how the data associated with a process is helpful to develop an overall understanding of the system Data flow diagrams may also be used in showing the data exchange between a system and other systems in its environment

  10. Order processing DFD

  11. Equipment procurement process

  12. State machine models These model the behaviour of the system in response to external and internal events They show the system s responses to stimuli so are often used for modelling real-time systems State machine models show system states as nodes and events as arcs between these nodes. When an event occurs, the system moves from one state to another

  13. Microwave oven model

  14. State and stimulus description for the Microwave oven

  15. Microwave oven stimuli

  16. Semantic data models Used to describe the logical structure of data processed by the system Entity-relation-attribute model sets out the entities in the system, the relationships between these entities and the entity attributes Widely used in database design. Can readily be implemented using relational databases

  17. Semantic data models for Library system

  18. Data dictionaries Data dictionaries are lists of all of the names used in the system models. Descriptions of the entities, relationships and attributes are also included Advantages Support name management and avoid duplication Store of organisational knowledge linking analysis, design and implementation

  19. Data dictionary entries

  20. Object Models Object models describe the system in terms of object classes An object class is an abstraction over a set of objects with common attributes and the services (operations) provided by each object Various object models may be produced Inheritance models Aggregation models Interaction models

  21. Object models Natural ways of reflecting the real-world entities manipulated by the system More abstract entities are more difficult to model using this approach Object class identification is recognised as a difficult process requiring a deep understanding of the application domain Object classes reflecting domain entities are reusable across systems

  22. Inheritance models Organise the domain object classes into a hierarchy Classes at the top of the hierarchy reflect the common features of all classes Object classes inherit their attributes and services from one or more super-classes. these may then be specialised as necessary Class hierarchy design is a difficult process if duplication in different branches is to be avoided

  23. The Unified Modelling Language Devised by the developers of widely used object- oriented analysis and design methods Has become an effective standard for object-oriented modelling Notation Object classes are rectangles with the name at the top, attributes in the middle section and operations in the bottom section Relationships between object classes (known as associations) are shown as lines linking objects Inheritance is referred to as generalisation and is shown upwards rather than downwards in a hierarchy

  24. Library class hierarchy

  25. User class hierarchy

  26. Multiple Inheritance Rather than inheriting the attributes and services from a single parent class, a system which supports multiple inheritance allows object classes to inherit from several superclasses Can lead to semantic conflicts where attributes/ services with the same name in different super- classes have different semantics Makes class hierarchy reorganisation more complex

  27. Multiple Inheritance

  28. CASE workbenches (Computer Aided Software Engineering) A coherent set of tools that is designed to support related software process activities implementation or testing Analysis and design workbenches support system modelling during both requirements engineering and system design These workbenches may support a specific design method or may provide support for creating several different types of system model such as analysis, design,

  29. Components of a CASE tool

  30. Method support tools Diagram editors Model analysis and checking tools Repository and associated query language Data dictionary Report definition and generation tools Forms definition tools Import/export facilities Code generation tools

  31. Elements Of Computer Science and Engineering Any questions?

  32. Thank you

  33. Elements Of Computer Science and Engineering Scan The QR for More Info

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