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Computer Science 340 Software Design & Testing. Design By Contract. Abstract Data Types. Object-oriented design is based on the theory of abstract data types Domain and implementation concepts are modeled in software as ADTs Interfaces capture the essence of an ADT

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abstract data types
Abstract Data Types
  • Object-oriented design is based on the theory of abstract data types
  • Domain and implementation concepts are modeled in software as ADTs
  • Interfaces capture the essence of an ADT
    • Examples: NetworkDevice, Stack
  • Classes provide implementations of ADTs
abstract data types1
Abstract Data Types
  • Even if a class doesn’t implement a pre-defined interface, it still defines an ADT as embodied in its public interface
    • In this case, the ADT definition is combined with its implementation
  • Explicit interfaces are used if we expect to have multiple implementations of the ADT
    • interface List, class ArrayList, class LinkedList, …
  • If we expect an ADT to have only one implementation, we often combine the ADT definition and implementation in the same class
    • Example: Matrix
defining adts
Defining ADTs
  • ADT = syntax + semantics
  • Each ADT operation has: name, parameter list, return type
  • ADT clients must conform to this syntax, or they will fail to compile
  • Each ADT operation also has semantics: What is the meaning of the operation? What does it do?
  • Classes that implement ADTs must faithfully adhere to operation semantics as well as syntax
    • What would happen if ArrayStack’spush implementation fires a nuclear missile rather than pushing a value on the stack?
defining adts1
Defining ADTs
  • Source code precisely defines ADT syntax
    • Compilers enforce ADT syntax
  • Source code does not precisely define semantics
    • Compilers cannot enforce semantics
  • ADT semantics are typically defined by comments in the code, if they’re defined at all
    • Comment each operation explaining what it does
    • Example: Stack, Matrix
defining adts2
Defining ADTs
  • Imprecise or incomplete definitions of ADT semantics lead to reliability problems:
    • Clients and implementers have different ideas of what an operation does
    • Differing assumptions lead to defects
  • Reliability is even more important in object-oriented programming than elsewhere.
    • Why?
design by contract
Design By Contract
  • DBC is a technique for more precisely defining ADT semantics, thus preventing misunderstandings
  • DBC is based on the real-world notion of a legal contract
    • A contract involves a “client” and a “supplier”
    • Each side has obligations and expected benefits, which are precisely defined in the contract
    • If a party performs their obligations, they are guaranteed to receive the promised benefits
defining operation semantics pre conditions post conditions
Defining operation semantics:Pre-conditions & Post-conditions
  • An ADT is a contract between client and supplier
  • Each operation has Pre-conditions and Post-conditions
  • Pre-conditions are the client’s obligations
  • Post-conditions are the supplier’s obligations
  • The pre-conditions and post-conditions define the semantics of the operation
  • Examples: Stack, Matrix
defining operation semantics pre conditions post conditions1
Defining operation semantics:Pre-conditions & Post-conditions
  • If a client invokes an operation having satisfied all pre-conditions, the supplier must ensure that all post-conditions are met upon return
  • If the client did not satisfy all pre-conditions, the supplier is under no obligation to satisfy the post-conditions. The supplier could:
    • Return an error or throw an exception
    • Just fail (crash, return bad results, etc.)
exceptions
Exceptions
  • What if the caller satisfied the pre-conditions, but for some reason the supplier is unable to satisfy the post-conditions?
  • The supplier throws an exception or returns an error
  • Why might a supplier fail to satisfy the post-conditions?
    • External factors beyond supplier’s control (hard disk crash, Internet down, etc.)
  • If the client fails to meet pre-conditions, the supplier can throw an exception or return an error if it wants to, but isn’t required to
exceptions1
Exceptions
  • If an operation could throw an exception or return an error, the contract should explicitly define the possible exceptions/errors so clients can handle them
class invariants
Class Invariants
  • Pre and Post-conditions apply only to single operations
  • Some supplier obligations apply to every operation on the ADT
  • Class Invariants are post-conditions that apply to every operation
    • Examples: Stack, Matrix
class invariants1
Class Invariants
  • What is a constructor’s job?
  • Constructors must establish all class invariants
    • When a constructor completes, all class invariants must be satisfied
    • If a constructor cannot establish the class invariants, it should throw an exception
  • In addition to their post-conditions, public operations must also ensure that all class invariants are satisfied upon return
    • I.E., the class invariants are ANDed with the post-conditions of every public operation
  • Class invariants may be temporarily violated while a public operation is executing, but they must be reestablished before the operation returns
testing
Testing
  • How do you test?
    • If statements
    • Assertions
  • Guidelines
    • Do not use assertions on public interface methods
    • Do not use assertions to do any work your program requires for correct operation
    • Use for
      • Internal invariants, control flow invariants
      • Pre, post, invariants for private methods
  • By default, assertions are disabled
    • Use –ea to enable assertions
dbc vs defensive programming
DBC vs. Defensive Programming
  • Defensive Programming says:
    • Operation implementations should be bullet-proof
    • Check all parameters for validity before using them
    • Return error or throw exception if parameters are invalid, but never crash
  • Puts heavy burden on the supplier
  • Results in lots of parameter checking code
  • Client and supplier often have redundant checks
  • Results in more code (harder to maintain)
  • Slows programs down (too much redundant checking)
dbc vs defensive programming1
DBC vs. Defensive Programming
  • DBC says:
    • Ensuring that pre-conditions are met is the client’s job
    • Operation implementations need not contain code to verify that pre-conditions were met (e.g., no parameter checking code)
    • If pre-conditions are not met and something unseemly occurs, it is the client’s fault, and they got what they deserved
    • Suppliers must throw an exception if post-conditions cannot be met
  • Puts more burden on clients
  • Results in less and more efficient code
  • As a debugging tool, operation implementations may include assert statements to verify that pre-conditions were met, but this is optional, and all assertions should be turned off in the final release of the software
dbc vs defensive programming2
DBC vs. Defensive Programming
  • Designers must make a conscious choice between Defensive Programming and DBC
documenting adts with javadoc
Documenting ADTs with javadoc
  • Interfaces and classes
    • Header comment
    • @invariant (custom tag)
  • Operations
    • Header comment
    • @pre (custom tag)
    • @post (custom tag)
    • @param
    • @returns (this is really a post-condition)
    • @throws
documenting adts with javadoc1
Documenting ADTs with javadoc
  • javadoc will generate HTML documentation for your interfaces and classes
  • Running javadoc:
    • javadoc -tag invariant:t:"Class Invariants:" -tag pre:cm:"Pre-Conditions:" -tag post:cm:"Post-Conditions:" MyClass.java