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Is This a Pattern

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Tiffany Winn is a PhD student in computer science at Flinders University, where ... Alexander, S. Ishikawa, and M. Silverstein, A Pattern Language, Oxford Univ. ... – PowerPoint PPT presentation

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Title: Is This a Pattern


1
Is This a Pattern
  • by
  • Tiffany Winn
  • Paul Calder
  • Flinders University of South Australia

2
The Authors
  • Tiffany Winn is a PhD student in computer science
    at Flinders University, where she received her
    BSc (Hons.) in computer science. Her research
    interests are in design patterns and programming
    paradigms.
  • Paul Calder is a senior lecturer in the School of
    Informatics Engineering at Flinders University.
    His research interests include object-oriented
    software design, component-based software reuse,
    graphical interfaces, and data visualization. He
    is a member of the IEEE Computer Society, ACM
    SIGCHI, and ACM SIGPLAN. He earned his PhD in
    electrical engineering from Stanford University,
    where he was one of the developers of the
    InterViews user interface toolkit.

3
Software Design Patterns
  • Identifying pattern
  • Developers must recognize reoccurring problems
  • Developers then create a solutions for those
    problems

4
Buzz Word
  • Recently the word pattern has become a buzz
    word
  • The implicit definition of the pattern concept
    has become less precise

5
Developer Skills
  • Developers must increase
  • Their understanding of patterns at a theoretical
    and practical level
  • Their ability to distinguish patterns from
    similar seeming non-patterns

6
Essential Characteristics of Patterns
  • These characteristics cannot provide a definite
    test for pattern-ness
  • If an entity does not contain one of the
    characteristics then it is not a pattern

7
1. A pattern implies an artifact
  • Big picture level How the software works
  • Design level The relationships the software
    attempts to capture

8
Drawing the artifact
  • The design pattern captures the overall structure
    in a physical or spatial sense
  • If the software pattern cannot be drawn, it does
    not embody a physical understanding of a
    softwares artifact and therefore is not a pattern

9
2. A pattern bridges many levels of abstraction
  • A pattern is not just a concrete designed
    artifact or abstract description
  • A pattern facilitates the progression from a
    vague idea to the actual software
  • Therefore a pattern bridges different abstraction
    levels

10
Linking abstraction levels
  • Linking helps designers make connections between
    different levels
  • Book Analogy
  • Story paragraph sentence word
  • Book ? Program
  • Story Level ? General problem overview
  • Paragraph Level ? Flowchart (control flow)
  • Sentence Level ? Algorithms
  • Word Level ? Sample Code
  • Flowchart and Algorithms help link the general
    overview with the sample code

11
Linking abstraction levels
  • Design aids, such as patterns, should bridge
    different design levels
  • Designers understanding evolves as the solution
    develops
  • It is important to develop aids that move from
    gradual initial understanding to a more in depth
    one
  • The ability to link different levels of thinking
    about a design is critical to knowledge reuse

12
Knowledge Reuse
  • Knowledge reuse is a key to good design
  • The challenge in reusability is to express the
    fragmentary and abstract components out of which
    complete programs are built.
  • Designers reuse knowledge by learning from their
    own and others experiences
  • Recognize and abstract from useful similarities
    at any abstraction level from their own or
    others context
  • C. Rich and R.C. Waters, The Programmers
    Apprentice. Addison-Wesley, Reading, Mass., 1990

13
3. A pattern is both functional and nonfunctional
  • Functional issues deal with possibility
  • Determine what decisions could be or were made in
    a particular context
  • Nonfunctional issues deal with feasibility
  • They address the reasons the decision was made
    and its desirability in a particular context

14
Balancing Act
  • Design often involves balancing conflicting
    forces
  • Sacrificing software readability for efficiency
  • Good design requires more that understanding just
    the forces involved
  • It also requires understanding the relationships
    between those forces

15
Design Complexity
  • Software design is complex and subject to
    frequent change
  • Complex design a developer will be unable to
    grasp the interplay between forces
  • Designers must develop skills, methods, and tools
    that help clarify interplay

16
Functional and Nonfunctional
  • A design pattern is functional because it
    documents a solution to a problem
  • Provide fragment samples of code and diagrams of
    software structure
  • A design patterns is nonfunctional because it
    discusses the feasibility of the solution
    documents
  • Discussion of its applicability

17
4. A pattern is manifest in a solution
  • The pattern will be present and recognizable in
    the solution
  • Whether used consciously or unconsciously
  • A pattern is not a simple tool it leaves a mark
    on the finished product
  • Focuses both on design process and design
    structure

18
Design Approaches
  • All design approaches strive for the creation of
    well-designed software
  • Approaches that focus solely on design process or
    methodology do no leave any identifiable imprint
  • Approaches, such as design patterns that focus on
    both design process and structure directly
    influence the visible structure of the product

19
5. A pattern captures system hot spots
  • Software system must remain stable in a highly
    dynamic environment
  • Building a stable system is not about foreseeing
    every modification
  • Building a stable system is about understanding
    the domain well enough to build a system that can
    evolve appropriately

20
Invariant and Hot Spots
  • Central to any pattern is an invariant that
    solves a reoccurring problem
  • Patterns facilitate good design by capturing hot
    spots those parts of a solution likely to
    change as a development system evolves

21
Invariant and Hot Spots
  • The pattern captures the invariant and hot spots
    and provides a structure to manage the
    interaction between these stable and changing
    system elements
  • In the software domain, patterns isolate expected
    invariant system elements from the effects of
    change to system hot spots

22
6. A pattern is part of a language
  • Every pattern is connected to and shaped by other
    patterns
  • Patterns are part of a network of interrelated
    patterns a pattern language
  • When patterns are combined they form a language
    for describing design solutions

23
Pattern quotes
  • No pattern is an isolated entity. Each pattern
    can exist in the world, only to the extent that
    it is supported by other patterns the larger
    patterns in which it is embedded, the patterns of
    the same size that surround it, and the smaller
    patterns which are embedded in it.
  • This is a fundamental view of the world. It says
    that when you build a thing you cannot merely
    build that thing in isolation, but must also
    repair the world around it, and within it, so
    that the larger world at that one place becomes
    more coherent, and more whole.
  • C. Alexander, S. Ishikawa, and M. Silverstein,
    A Pattern Language, Oxford Univ. Press, New York,
    1977.

24
Pattern Languages
  • Pattern languages are critical because they
    capture the emergent behavior of complex systems
  • A pattern language is therefore a collective of
    solutions to reoccurring problems
  • A good pattern language guides a designer towards
    a good system architecture
  • The whole is more than that sum of the parts a
    pattern language is more than the sum of its
    patterns

25
7. A pattern is validated by use
  • Patterns are usually discovered through concrete
    experience rather than abstract argument
  • A pattern cannot be verified or validated from a
    purely theoretical framework

26
A pattern is validated by use
  • In spoken language new words are devised and old
    words acquire new meanings through repeated use
  • Words can also be theoretically devise, although
    not validated until it achieves widespread use
  • Likewise, a patterns repeated presence in
    existing artifacts confirms it usefulness
  • Programming theory is important but to be
    meaningful it must be evaluated in a concrete
    environment

27
A pattern is validated by use
  • Patterns are validated by experience rather than
    by testing
  • Validating pattern existence by experience is
    difficult because it is hard to know when a
    patterns is complete and correct

28
8. A pattern is grounded in a domain
  • A pattern is not an isolated entity
  • Patterns are defined in the context of other
    patterns and with respect to a particular field
    to which it applies

29
A pattern is grounded in a domain
  • Discussion of a pattern only makes sense as part
    of a pattern language
  • A discussion of patterns must clarify what domain
    the patterns serve and it must ensure that all
    the patterns share a common domain

30
9. A pattern captures a big idea
  • Design patterns are not solutions to trivial
    problems
  • Not every design problem warrants a pattern
  • Patterns focus on difficult problems in a
    particular area
  • Problems designers face in a certain area time
    and time again

31
A pattern captures a big idea
  • Therefore, a pattern language captures a domain.
  • The patterns in the language identify the
    domains key concepts and their interplay
  • A pattern must strike a balance between a
    solution to a specific problem and if that
    problem is significant enough to warrant a pattern

32
Conclusion
  • Developing a definition that completely captures
    the pattern concept is neither worthwhile nor
    possible
  • What is possible and worthwhile is to document
    essential characteristics
  • Clarifies and develops our understanding of
    patterns
  • Therefore increasing our ability to identify them

33
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