강의 내용 및 방법 접근방법

– Proof of Correctness 는 제외– Lambda Calculus: Python 과 관련하여 조금 설명 – 리포트 2 주일에 프로그램 1 개 정도 , term project 는 없음 , 각 장의 문제풀기 및 다른 문제 제공

시험– 중간 , 기말 및 1~2 회 정도의 쪽지시험

수업은 75 분 (14:30-15:45), 혹시 부족하면 보강

참고자료 Http://borame.cs.pusan.ac.kr/lecture

– 강의참고자료 ( 한글 )– 2002 년 강의 내용– 2002 년 리포트 , 기타 참고사항– 2003, 2004, 2005, 2006, 2007, 2008,

2009 년 , 2010, 2011 년 강의노트– 다른 대학교 , 자료 , 우균 교수 자료 ( 한글 ) 참고

강의 중에 이해가 안 되는 부분은 언제나 홈페이지의 묻고 답하기에 질문할 수 있음

프로그램 개발 어떻게 하면 프로그램 개발과 유지보수 비용을 줄이느냐 ?

– 프로그램에서 재사용할 수 있는 부분과 아닌 부분을 나누어서 개발하고 , 재사용을 극대화 ( 개인별 라이브러리 보관 )– 많은 라이브러리를 보유하고 활용– high-level data types built in, such as flexible

arrays and dictionaries 그러면서 어떻게 하면 메모리 사용량을 줄이고 , 속도를 높이느냐 ?

– Runtime checking 을 최소화

왜 프로그래밍 언어론을 배우나 ?

수많은 프로그래밍 언어 중 필요에 따라 적합한 것을 골라 쓸 수 있는 능력 사용하는 프로그래밍 언어의 특성을 파악하여 가장 효과적으로 사용할 수 있게 함 사용하는 프로그래밍 언어에 없지만 유용한 개념을 도입하여 활용 프로그래밍 언어 그 자체로도 의미가 있음 구체적인 내용은 다음에 설명

언어란 ? 생각을 표현하는 도구 !! 정보를 교환하는 도구 !!

– 개념화 : 물체 (Object), 물체와 관계 , 추상화• 중력의 법칙 , 예측

– 인간은 전체를 듣지 않고도 부분을 이해함 , 스스로 보완하여 인식함

– 불완전하며 모호함 프로그래밍언어 !!

– 우리의 생각을 컴퓨터가 처리할 수 있게 표현하는 도구– 조금만 틀려도 이해 못함 ( 수학적 명확성 필요 )– 오류가 없는 프로그램은 만들 수 없으며 , 인간이 1,000 만 줄 이상

프로그램은 만들 수 없다 . ( 조던 폴락 ) – 기계와 인간 간의 간격을 줄일수록 바람직함

• 추상화 단계가 높아져야 짧은 프로그램을 명확한 프로그래밍이 가능

– 기계뿐 아니라 인간도 이해해야 함 ( 쉽게 프로그램할 수 있어야 )

Organization of Programming Languages

Understand how languages are designed and implemented 구조

– Lexicon – What sorts of words are legal?– Syntax -- What a program looks like?– Semantics -- What a program means?– Pragmatics – 실행 과정에서 해석 ? C 언어의 ‘ int’ 형

Implementation -- How a program executes Understand most appropriate language for solving speci

fic problems, For example:– Pascal, C, Perl -- procedural, statement oriented– C++, Java, Smalltalk -- Object oriented– ML, Lisp -- Functional – Prolog -- Rule-based– JavaScript, PHP, ASP.net, C# – Procedural, Event-dr

iven accessing

Language Goals During 1950s--1960s - Compile programs to execut

e efficiently. – There is a direct connection between language features and hardware - integers, reals, goto statements

– Programmers cheap; Machines expensive; Keep the machine busy

But today– Compile programs that are built efficiently– CPU power and memory very cheap– Direct connection between language features and design concepts - encapsulation, records, inheritance, functionality, assertions

– Event-driven programming, Service-oriented approach, Web-service, Very High-level Language

Python Python is a general-purpose, high-level programming language. Its desig

n philosophy emphasizes programmer productivity and code readability. Python's core syntax and semantics are minimalist, while the standard library is large and comprehensive.

Python supports multiple programming paradigms (primarily functional, object oriented and imperative), and features a fully dynamic type system and automatic memory management; it is thus similar to Perl, Ruby, Scheme, and Tcl.

Python was first released by Guido van Rossum in 1991.[3] The language has an open, community-based development model managed by the non-profit Python Software Foundation. While various parts of the language have formal specifications and standards, the language as a whole is not formally specified. The de facto standard for the language is the CPython implementation.

Era Application Majorlanguages

Otherlanguages

Business COBOL AssemblerScientific FORTRAN Algol, BASIC,

APLSystem Assembler JOVIAL, Forth

1960s

Artificialintelligence

LISP SNOBOL

Business COBOL, C++,Java, spreadsheet

C, PL/I, 4GLs

Scientific FORTRAN, C,C++, Java

BASIC

System C, C++, Java Ada, BASIC,Modula

Artificialintelligence

LISP, Prolog

Publishing TeX, Postscript,word processing

Process UNIX shell, TCL,Perl, Javascript

AWK, Marvel,SED

Today

New paradigms ML, Smalltalk Eiffel

Why study programming languages? (1)

To improve your ability to develop effective algorithms– Improper use of recursion– Object-oriented programming, logic programming, c

oncurrent programming To improve your use of your existing programm

ing language– Data structures for arrays, strings, lists, recor

ds, set, bag, table (associative array)– Malloc() garbage collection– Implementation details of recursion, object class

es, subroutine calls, exception(event) handling …– Service-oriented developing

• Web-service, Semantic web, Script language

Why study programming languages? (2)

To increase your vocabulary of useful programming constructs– Increase programming vocabulary and its implementation tech.– Coroutine, Semaphore, event-driven programming, associative

array– Named parameter (keyword argument) (Ada, Python, Smalltalk,

Common Lisp)– Name mangling (name decoration): _Z on C, C+

• Filename mangling : Unix file names can contain colons or backslashes

To allow a better choice of programming language– Numeric computation : C, FORTRAN, Ada– AI : LISP, Prolog– Internet applications : Perl, Java, HTML, XML, Web Service

(SOAP), PHP, ASP.net, Python

Why study programming languages? (3)

To make it easier to learn a new language– Web programming (JavaScript, PHP), Semantic web – Python

To make it easier to design a new language– User interface design

*** C, COBOL, SMALLTALK 의 덧셈의 속도차이를 초래하는 언어개념 및 구현의 차이

Evolution of software architecture

1950s - Large expensive mainframe computers ran single programs (Batch processing)

1960s - Interactive programming (time-sharing) on mainframes

1970s - Development of Minicomputers and first microcomputers. Apple II. Early work on windows, icons, and PCs at XEROX PARC

1980s - Personal computer - Microprocessor, IBM PC and Apple Macintosh. Use of windows, icons and mouse

1990s - Client-server computing - Networking, The Internet, the World Wide Web

2000s - P2P, Grid Computing, Web Service, Event-driven approach, Service-oriented programming, Script language, …

Attributes of a good language (1)

Clarity, simplicity, and unity - provides both a framework for thinking about algorithms and a means of expressing those algorithms – Conceptual integrity– 나쁜 예 : APL, SNOBOL4

Orthogonality - every combination of features is meaningful– Fewer exceptions C 언어에서 !!!– Logical errors and inefficiency

Attributes of a good language(2)

Naturalness for the application - program structure reflects the logical structure of algorithm– Sequential algorithm, concurrent algorithm, logic

algorithm, non-deterministic algorithm– Appropriate data structures, operations, control

structures, natural syntax

Support for abstraction - program data reflects problem being solved– Data abstraction <D,O,C> – Encapsulation

Attributes of a good language (3)

Ease of program verification - verifying that program correctly performs its required function – Verification/validation

• standard, or specification requirements • the needs of the intended end-user or customer

– Comments, assert()– Design specification

Programming environment - external support for the language– Debugger, syntax-directed editor– Supporting function, platforms– Smalltalk – Supporting all the software lifecycle phases

Attributes of a good language (continued)

Portability of programs - transportability of the resulting programs from the computer on which they are developed to other computer systems– Transportability– C, C++, Pascal Java (Byte-code)– ML : single source implementation

Cost of use - program execution, program translation, program creation, and program maintenance– Code optimization, (Smalltalk, Perl), lifecycle costs

Language paradigms Imperative languages

– Goal is to understand a machine state (set of memory locations, each containing a value)

– Statement oriented languages that change machine state (C, Pascal, FORTRAN, COBOL, C++, Java)

– Syntax: S1, S2, S3, ...

Applicative (functional) languages– Goal is to understand the function that produces

the answer– Function composition is major operation (ML, LISP)– Syntax: P1(P2(P3(X)))– Programming consists of building the function that

computes the answer

Language paradigms (continued)

Rule-based languages– Specify rule that specifies problem solution

(Prolog, BNF Parsing)– Other examples: Decision procedures, Grammar rules

(BNF)– Syntax: Answer specification rule– Programming consists of specifying the attributes of

the answer

Object-oriented languages– Imperative languages that merge applicative design

with imperative statements (Java, C++, Smalltalk)– Syntax: Set of objects (classes) containing data

(imperative concepts) and methods (applicative concepts)

New Paradigm

Internet, Home Computing, Ubiquitous Computing, Embedded Computing, etc

Languages and Compilers that are smart, small and safe– Moveable code agents– Independent from machines and programming

environments– Supporting pragmatics or intelligence

Java, XML, Mobile computing. Mobile code Event driven approach, Service-oriented Architecture,

Web Service Supports multiple paradigm : Python

다음을 조사하라 !! (1) 왜 ActiveX 가 새로운 Windows( 비스타 ) 에서 문제를

발생하는가 ? 왜 우리나라에서 유달리 ActiveX 를 많이 쓰는가 ? – ActiveX 란 무엇인가 ?– ActiveX 대신 문제를 해결하는 방법은 ?

• 크롬과 Firefox 에서는 보안 문제 따위를 어떻게 해결하는가 ?– Wikipedia 를 참고하라 !!!

(2) Orthogonality 가 C 언어에서 발생시킬 수 있는 오류의 예를 들어라 !

(3) 우리가 사용하는 언어는 왜 프로그래밍 언어로 부적합한가 ? (4) 스마트폰이 일반화하면서 ‘ Platform’ 이란 말이 일반화하고

있다 . ‘Platform’ 이란 무엇이며 , 일반 응용프로그램과 어떤 차이가 나는가 ?