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Questions and Answers

Which of the following programming languages are primarily object-oriented?

  • Java (correct)
  • Ada
  • Python (correct)
  • FORTRAN
  • Functional programming languages emphasize state changes through commands.

    False

    What is a key concept of imperative programming languages?

    Variables

    Which of the following are features of data-oriented programming?

    <p>Data abstraction</p> Signup and view all the answers

    Object-oriented design began with ____ abstraction.

    <p>data</p> Signup and view all the answers

    Match the programming languages with their categories:

    <p>LISP = Functional Programming Prolog = Logic Programming C = Procedural Programming Java = Object-Oriented Programming</p> Signup and view all the answers

    What programming paradigm emphasizes the use of procedure calls?

    <p>Procedural Programming</p> Signup and view all the answers

    Procedural programming uses many reserved words to implement control flow.

    <p>True</p> Signup and view all the answers

    What programming concept is characterized by lazy evaluation?

    <p>Functional Programming</p> Signup and view all the answers

    Which of the following statements are true about logic programming?

    <p>Prolog is an example of a logic programming language.</p> Signup and view all the answers

    What is one of the most important criteria for judging a programming language?

    <p>Readability</p> Signup and view all the answers

    Writability refers to how easily a programming language can be read and understood.

    <p>False</p> Signup and view all the answers

    What does orthogonality in a programming language mean?

    <p>A relatively small set of primitive constructs can be combined in a small number of ways to build control and data structures.</p> Signup and view all the answers

    A programming language should have adequate facilities for defining __________.

    <p>data types and data structures</p> Signup and view all the answers

    Match the following characteristics with their descriptions:

    <p>Simplicity = A language with fewer constructs is easier to learn. Exception Handling = Mechanism to manage runtime errors. Type Checking = Testing for type errors in a program. Abstraction = Defining and using complex structures or operations.</p> Signup and view all the answers

    What is the primary advantage of compile-time type checking?

    <p>It helps eliminate type errors at runtime, reducing debugging costs.</p> Signup and view all the answers

    Which language characteristic affects both readability and writability?

    <p>Syntax design</p> Signup and view all the answers

    What is a potential problem caused by operator overloading?

    <p>Confusion due to multiple meanings of operators</p> Signup and view all the answers

    What is portability in programming languages?

    <p>The ease with which programs can be moved from one implementation to another.</p> Signup and view all the answers

    Study Notes

    Language Evaluation Criteria

    • Evaluation criteria impact the software development process, especially maintenance; criteria often debated among computer scientists due to subjective nature.
    • Criteria include readability, writability, and reliability, affecting software lifecycle and maintenance costs significantly.

    Readability

    • Critical for assessing programming languages; ease of reading and understanding programs enhances quality.
    • Shift from machine-oriented design focus pre-1970s to a human-oriented approach emphasizing readability for maintenance.

    Simplicity

    • A simple language with fewer constructs is easier to learn and use; large languages often lead to confusion due to feature multiplicity.
    • Operator overloading can reduce readability if not used wisely; context determines the meaning, necessitating familiarity with used constructs.

    Orthogonality

    • Refers to combining a small set of primitives in diverse means; every combination must be legal and meaningful.
    • High orthogonality can enhance simplicity, as seen in functional languages like LISP, contrasting with imperative languages like C and Java.

    Data Types

    • Adequate facilities for defining data types enhance program clarity; using clear types improves understanding and reduces ambiguity.

    Syntax Design

    • The syntax of programming languages greatly influences readability; special words and compound statement formation are critical.
    • Clear differentiation in language syntax, as in Ada or Fortran 95, improves clarity compared to languages with ambiguous structures.

    Writability

    • Reflects ease of program creation; characteristics affecting readability also influence writability.
    • Contextual comparison of languages is essential, as one may excel in a specific domain (e.g., Visual BASIC for GUI, C for systems programming).

    Support for Abstraction

    • Ability to define and utilize complex structures to simplify programming is essential; abstraction can be process or data-oriented.
    • Example: Using subprograms for repeated tasks reduces code length and increases clarity.

    Expressivity

    • Powerful language operators enable concise and effective expression of computations, enhancing writability.
    • Language features like Java’s enhanced for loop or Ada’s Boolean operators streamline coding tasks.

    Reliability

    • A reliable program meets its specifications consistently; features influencing reliability include type checking and error detection.
    • Compile-time type checking preferred for cost-effectiveness, as seen in Java's stringent checks.

    Software Maintenance

    • Maintenance costs can exceed development costs significantly, influenced primarily by readability; unclear code complicates maintenance.
    • Importance of maintainability is emphasized, especially in long-lived software systems.

    Additional Evaluation Criteria

    • Portability, generality, and well-definedness also matter, impacting how easily programs can be transferred and understood across platforms.

    Trade-offs in Language Design

    • Tensions exist between reliability and execution cost; Java's array indexing checks raise performance costs.
    • Languages may prioritize readability over writability or vice versa; e.g., APL offers concise expressions but can harm readability.

    Influences on Language Design

    Computer Architecture

    • Programming languages are often modeled on the von Neumann architecture, facilitating imperative language designs and influencing language constructs.
    • Key features of imperative languages revolve around variables, assignment statements, and efficient iteration methods in line with this architecture.

    Programming Design Methodologies

    • Evolution to handle complex problems led to methodologies like top-down design and data-oriented design.
    • Object-oriented programming emerged, enhancing data abstraction, encapsulation, inheritance, and dynamic method binding across many modern languages.### Object-Oriented and Functional Programming
    • Object-oriented programming concepts merge with functional programming through languages like CLOS and F# and logic programming with Prolog++.
    • Procedure-oriented programming (POP) contrasts with data-oriented programming (DOP) but remains relevant, particularly in concurrency research.

    Programming Paradigms

    • Programming languages are categorized into several paradigms: Procedural, Functional, Object-Oriented, Declarative-non-algorithmic, and Scripting languages.
    • Python and Java are primarily object-oriented but also support multiple paradigms, showcasing versatility.

    Imperative Programming Languages

    • Designed around von Neumann architecture; computation is performed through state-changing statements.
    • Central features include variables, assignment statements, iteration, and control over the order of operations.
    • Languages include FORTRAN, ALGOL, C, and ADA, with potential inclusion of object-oriented and visual scripting languages.

    Key Concepts of Imperative Programming

    • Variables, commands, and procedures are fundamental; also involves data abstraction.
    • Allows side effects, enabling state modification across different program units.

    Functional Programming Languages

    • Computation achieved by applying functions to given parameters (examples: LISP, Scheme, ML, Haskell).
    • Key concepts include expressions, functions, parametric polymorphism, data abstraction, and lazy evaluation.

    Key Concepts of Functional Programming

    • Expressions compute values from old ones; functions abstract operations over expressions.
    • Parametric polymorphism allows functions to operate on various types, enhancing language expressiveness.
    • Data abstraction separates critical issues, aiding large program design and implementation.

    Logic Programming Languages

    • Rule-based and use logical inference for computations (example: Prolog).
    • Highlights include assertions, Horn clauses, and relations—providing a higher-level approach than imperative or functional programming.

    Procedural Programming Paradigm

    • A subtype of imperative programming, focusing on structured procedures with modular calls.
    • Relies on a top-down approach with a sequenced list of instructions and is exemplified by languages such as Fortran, ALGOL, COBOL, and BASIC.

    Control Structures in Programming

    • Control structures dictate the sequence, selection, and repetition of program instructions, essential for structured programming.
    • Sequence executes instructions as they appear, while selection enables decision-making through conditional statements (e.g., if-then-else).

    Assignment Statements

    • Composed of an assignment operator, a result identifier, and an expression.
    • Involves fetching operands’ values from memory, performing operations, and storing results in designated locations.

    Importance of Control Structure

    • Structured programming reduces complex problems to combinations of controlled sequences, selections, or repetitions, enhancing clarity and maintainability in code.

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