Chapter 1
Preliminaries
ISBN 0-321-33025-0
Chapter 1 Topics
• Reasons for Studying Concepts of
Programming Languages
• Programming Domains
• Language Evaluation Criteria
• Influences on Language Design
• Language Categories
• Language Design Trade-Offs
• Implementation Methods
• Programming Environments
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Reasons for Studying Concepts of
Programming Languages
• Increased ability to express ideas
• Improved background for choosing
appropriate languages
• Increased ability to learn new languages
• Better understanding of significance of
implementation
• Overall advancement of computing
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Programming Domains
• Scientific applications
– Large number of floating point computations
– Fortran
• Business applications
– Produce reports, use decimal numbers and characters
– COBOL
• Artificial intelligence
– Symbols rather than numbers manipulated
– LISP
• Systems programming
– Need efficiency because of continuous use
– C
• Web Software
– Eclectic collection of languages: markup (e.g., XHTML),
scripting (e.g., PHP), general-purpose (e.g., Java)
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Language Evaluation Criteria
• Readability: the ease with which
programs can be read and understood
• Writability: the ease with which a
language can be used to create programs
• Reliability: conformance to specifications
(i.e., performs to its specifications)
• Cost: the ultimate total cost
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Evaluation Criteria: Readability
• Overall simplicity
– A manageable set of features and constructs
– Few feature multiplicity (means of doing the same operation)
– Minimal operator overloading
• Orthogonality
– A relatively small set of primitive constructs can be combined in
a relatively small number of ways
– Every possible combination is legal
• Control statements
– The presence of well-known control structures (e.g., while
statement)
• Data types and structures
– The presence of adequate facilities for defining data structures
• Syntax considerations
– Identifier forms: flexible composition
– Special words and methods of forming compound statements
– Form and meaning: self-descriptive constructs, meaningful
keywords
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Evaluation Criteria: Writability
• Simplicity and orthogonality
– Few constructs, a small number of primitives,
a small set of rules for combining them
• Support for abstraction
– The ability to define and use complex
structures or operations in ways that allow
details to be ignored
• Expressivity
– A set of relatively convenient ways of
specifying operations
– Example: the inclusion of for statement in
many modern languages
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Evaluation Criteria: Reliability
• Type checking
– Testing for type errors
• Exception handling
– Intercept run-time errors and take corrective measures
• Aliasing
– Presence of two or more distinct referencing methods for
the same memory location
• Readability and writability
– A language that does not support “natural” ways of
expressing an algorithm will necessarily use “unnatural”
approaches, and hence reduced reliability
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Evaluation Criteria: Cost
• Training programmers to use language
• Writing programs (closeness to particular
applications)
• Compiling programs
• Executing programs
• Language implementation system:
availability of free compilers
• Reliability: poor reliability leads to high
costs
• Maintaining programs
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Evaluation Criteria: Others
• Portability
– The ease with which programs can be moved
from one implementation to another
• Generality
– The applicability to a wide range of applications
• Well-definedness
– The completeness and precision of the
language’s official definition
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Influences on Language Design
• Computer Architecture
– Languages are developed around the prevalent
computer architecture, known as the von
Neumann architecture
• Programming Methodologies
– New software development methodologies (e.g.,
object-oriented software development) led to
new programming paradigms and by extension,
new programming languages
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Computer Architecture Influence
• Well-known computer architecture: Von Neumann
• Imperative languages, most dominant, because of
von Neumann computers
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–
–
–
Data and programs stored in memory
Memory is separate from CPU
Instructions and data are piped from memory to CPU
Basis for imperative languages
• Variables model memory cells
• Assignment statements model piping
• Iteration is efficient
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The Motherboard of a Computer
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The von Neumann Architecture
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Programming Methodologies Influences
• 1950s and early 1960s: Simple applications; worry
about machine efficiency
• Late 1960s: People efficiency became important;
readability, better control structures
– structured programming
– top-down design and step-wise refinement
• Late 1970s: Process-oriented to data-oriented
– data abstraction
• Middle 1980s: Object-oriented programming
– Data abstraction + inheritance + polymorphism
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Language Categories
• Imperative
– Central features are variables, assignment statements, and
iteration
– Examples: C, Pascal
• Functional
– Main means of making computations is by applying functions to
given parameters
– Examples: LISP, Scheme
• Logic
– Rule-based (rules are specified in no particular order)
– Example: Prolog
• Object-oriented
– Data abstraction, inheritance, late binding
– Examples: Java, C++
• Markup
– New; not a programming per se, but used to specify the layout
of information in Web documents
– Examples: XHTML, XML
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Benefits of Modular Disign
• Modular design brings with it great
productivity improvements.
– First of all, small modules can be coded quickly
and easily.
– Secondly, general purpose modules can be reused, leading to faster development of
subsequent programs.
– Thirdly, the modules of a program can be tested
independently, helping to reduce the time spent
debugging.
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Functional Languages vs. Imperative
Languages in terms of Modulality
• Modulality is a feature of imperative
Languages.
• Basically, functional languages don’t
introduce new programming methodology;
however, it makes it more easily to write a
program in a modular way.
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Visual Languages
• Visual BASIC is one of the most popular
visual languages.
• Include capabilities for drag-and-drop
generation of code segments.
• Provide a simple way to generate graphical
user interfaces to programs.
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A Typical Session in Microsoft Visual
Basic 6
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Language Design Trade-Offs
• Reliability vs. cost of execution
– Conflicting criteria
– Example: Java demands all references to array elements
be checked for proper indexing but that leads to
increased execution costs
• Readability vs. writability
– Another conflicting criteria
– Example: APL provides many powerful operators (and a
large number of new symbols), allowing complex
computations to be written in a compact program but at
the cost of poor readability
• Writability (flexibility) vs. reliability
– Another conflicting criteria
– Example: C++ pointers are powerful and very flexible but
not reliably used
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Machine Instructions of a Computer
• The Processor is a collection of circuits that
provides a realization of a set of primitive
operations, or machine instructions, such
as those for arithmetic and logic operations.
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THE Machine Language of a Computer
• Is its set of instructions.
• Is the ONLY language that the hardware of
the computer can understand directly.
• Provide the most commonly needed
primitive operations.
• Programs written by high level languages
require system software (language
implementation systems) to translate them
into corresponding machine language
versions.
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Operating Systems
• Supply Higher-level primitives than those
of the machine language.
• These primitives provide
–
–
–
–
–
system resource management
input and output operations
a file management system
text and/or program editors
a variety of other commonly needed functions
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Language Implementation Systems and
an Operating Systems
• Because language implementation systems
need many of the operating system
facilities,
– they interface to the operating system or utilize
the operating system to do their work.
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Virtual Computers
• An operating system and language
implementations are layered over the
machine language interface of a computer.
• These layers can be thought of as virtual
computers, providing interface to the user
at higher levels.
• Most computers provide several different
virtual computers.
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Layered View of Computer
The operating system
and language
implementation are
layered over
Machine interface of a
computer
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Implementation Methods
• Compilation
– Programs are translated into machine
language
• Pure Interpretation
– Programs are interpreted by another
program known as an interpreter
• Hybrid Implementation Systems
– A compromise between compilers and
pure interpreters
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Compilation
• Translate high-level program (source language)
into machine code (machine language)
• Slow translation, fast execution
• Compilation process has several phases:
– lexical analysis: converts characters in the source program
into lexical units
• lexical units: identifiers, special words, operators and
punctuation symbols
– syntax analysis: transforms lexical units into parse trees
which represent the syntactic structure of program
– intermediate code generation: translate a source program
into an intermediate language one
• semantics analysis: check for errors that are difficult if
not impossible to detect during syntax analysis, such as
type errors.
– code generation: machine code is generated
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Optimization
• Improve programs (usually in their intermediate
code version) by making them smaller or faster or
both, is often an optional part of compilation.
• Some compilers are incapable of doing any
significant optimization.
• Optimization may
– omit some code in your program
– change the execution order of code in your program
• P.S.: Sometimes, especially when synchronization
between processes is required, the above results may
create some bugs in your programs which can not be
detected by just checking the source code.
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Symbol Table
• The symbol table serves as a database for
the compilation process.
• The primary contents of the symbol table
are
– the type and attribute information of each userdefined name in the program.
• P.S.: This information is placed in the symbol table
by the lexical and syntax analyzers and is used by
the semantic analyzer and the code generator.
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The Compilation Process
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Additional Compilation Terminologies
• Load module (executable image): the user
and system code together
• Linking and loading: the process of
collecting system program and linking
them to user program
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Execution of Machine Code
• Fetch-execute-cycle (on a von Neumann
architecture)
initialize the program counter
repeat forever
fetch the instruction pointed by the counter
increment the counter
decode the instruction
execute the instruction
end repeat
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Decode the Instruction
• The "decode the instruction" step in the
process above means the instruction is
examined to determine what action it
specifies.
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CPU Execution Flow of a Computer
System
• In a uniprocessor computer system, usually
the use of the CPU transfers from the
operating system to a user program for its
execution and then back to the operating
system when the user program execution is
completed.
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Von Neumann Bottleneck
• Connection speed between a computer’s
memory and its processor determines the
speed of a computer
• Program instructions often can be executed
a lot faster than the above connection
speed; the connection speed thus results in
a bottleneck
• Known as von Neumann bottleneck; it is the
primary limiting factor in the speed of
computers
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Pure Interpretation
• No translation
• Easier implementation of programs (runtime errors can easily and immediately
displayed)
• Slower execution (10 to 100 times slower
than compiled programs)
• Often requires more space
• Becoming rare on high-level languages
• Significant comeback with some Web
scripting languages (e.g., JavaScript)
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Pure Interpretation Process
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Hybrid Implementation Systems
• A compromise between compilers and pure
interpreters
• A high-level language program is
translated to an intermediate language that
allows easy interpretation
• Faster than pure interpretation
• Examples
– Perl programs are partially compiled to detect errors
before interpretation
– Initial implementations of Java were hybrid; the
intermediate form, byte code, provides portability to any
machine that has a byte code interpreter and a run-time
system (together, these are called Java Virtual Machine)
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Hybrid Implementation Process
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Just-in-Time Implementation Systems
• Initially translate programs to an
intermediate language
• Then compile intermediate language into
machine code
• Machine code version is kept for
subsequent calls
• JIT systems are widely used for Java
programs
• .NET languages are implemented with a JIT
system
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Preprocessors
• Preprocessor macros (instructions) are
commonly used to specify that code from
another file is to be included
• A preprocessor processes a program
immediately before the program is
compiled to expand embedded
preprocessor macros
• A well-known example: C preprocessor
– expands #include, #define, and similar
macros
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Programming Environments
• The collection of tools used in software
development
• UNIX
– An older operating system and tool collection
– Nowadays often used through a GUI (e.g., CDE, KDE, or
GNOME) that run on top of UNIX
• Borland JBuilder
– An integrated development environment for Java
• Microsoft Visual Studio.NET
– A large, complex visual environment
– Used to program in C#, Visual BASIC.NET, Jscript, J#, or
C++
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Summary
• The study of programming languages is valuable for a number
of reasons:
– Increase our capacity to use different constructs
– Enable us to choose languages more intelligently
– Makes learning new languages easier
• Most important criteria for evaluating programming languages
include:
– Readability, writability, reliability, cost
• Major influences on language design have been machine
architecture and software development methodologies
• The major methods of implementing programming languages
are:
– compilation,
– pure interpretation,
– hybrid implementation
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