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A Brief Introduction to Aspect-Oriented Programming
R R R A Brief Introduction to Aspect-Oriented Programming" R R Historical View Of Languages" R •# Procedural language" •# Functional language" •# Object-Oriented language" 1 R R Acknowledgements" R •# Zhenxiao Yang" •# Gregor Kiczales" •# Eclipse website for AspectJ (www.eclipse.org/aspectj) " R R Procedural Language" R •# Also termed imperative language" •# Describe" –#An explicit sequence of steps to follow to produce a result" •# Examples: Basic, Pascal, C, Fortran" 2 R R Functional Language" R •# Describe everything as a function (e.g., data, operations)" •# (+ 3 4); (add (prod 4 5) 3)" •# Examples" –# LISP, Scheme, ML, Haskell" R R Logical Language" R •# Also termed declarative language" •# Establish causal relationships between terms" –#Conclusion :- Conditions" –#Read as: If Conditions then Conclusion" •# Examples: Prolog, Parlog" 3 R R Object-Oriented Programming" R •# Describe " –#A set of user-defined objects " –#And communications among them to produce a (user-defined) result" •# Basic features" –#Encapsulation" –#Inheritance" –#Polymorphism " R R OOP (cont$d)" R •# Example languages" –#First OOP language: SIMULA-67 (1970)" –#Smalltalk, C++, Java" –#Many other:" •# Ada, Object Pascal, Objective C, DRAGOON, BETA, Emerald, POOL, Eiffel, Self, Oblog, ESP, POLKA, Loops, Perl, VB" •# Are OOP languages procedural? " 4 R R We Need More" R •# Major advantage of OOP" –# Modular structure" •# Potential problems with OOP" –# Issues distributed in different modules result in tangled code." –# Example: error logging, failure handling, performance -
The Machine That Builds Itself: How the Strengths of Lisp Family
Khomtchouk et al. OPINION NOTE The Machine that Builds Itself: How the Strengths of Lisp Family Languages Facilitate Building Complex and Flexible Bioinformatic Models Bohdan B. Khomtchouk1*, Edmund Weitz2 and Claes Wahlestedt1 *Correspondence: [email protected] Abstract 1Center for Therapeutic Innovation and Department of We address the need for expanding the presence of the Lisp family of Psychiatry and Behavioral programming languages in bioinformatics and computational biology research. Sciences, University of Miami Languages of this family, like Common Lisp, Scheme, or Clojure, facilitate the Miller School of Medicine, 1120 NW 14th ST, Miami, FL, USA creation of powerful and flexible software models that are required for complex 33136 and rapidly evolving domains like biology. We will point out several important key Full list of author information is features that distinguish languages of the Lisp family from other programming available at the end of the article languages and we will explain how these features can aid researchers in becoming more productive and creating better code. We will also show how these features make these languages ideal tools for artificial intelligence and machine learning applications. We will specifically stress the advantages of domain-specific languages (DSL): languages which are specialized to a particular area and thus not only facilitate easier research problem formulation, but also aid in the establishment of standards and best programming practices as applied to the specific research field at hand. DSLs are particularly easy to build in Common Lisp, the most comprehensive Lisp dialect, which is commonly referred to as the “programmable programming language.” We are convinced that Lisp grants programmers unprecedented power to build increasingly sophisticated artificial intelligence systems that may ultimately transform machine learning and AI research in bioinformatics and computational biology. -
Continuation Join Points
Continuation Join Points Yusuke Endoh, Hidehiko Masuhara, Akinori Yonezawa (University of Tokyo) 1 Background: Aspects are reusable in AspectJ (1) Example: A generic logging aspect can log user inputs in a CUI program by defining a pointcut Login Generic Logging id = readLine(); Aspect Main CUI Aspect cmd = readLine(); pointcut input(): call(readLine()) logging return value 2 Background: Aspects are reusable in AspectJ (2) Example: A generic logging aspect can also log environment variable by also defining a pointcut Q. Now, if we want to log environment variable (getEnv) …? Generic Logging Aspect A. Merely concretize an aspect additionally Env Aspect CUI Aspect pointcut input(): pointcut input(): Aspect reusability call(getEnv()) call(readLine()) 3 Problem: Aspects are not as reusable as expected Example: A generic logging aspect can NOT log inputs in a GUI program by defining a pointcut Login Generic Logging void onSubmit(id) Aspect { … } Main void onSubmit(cmd) GUI Aspect { … } pointcut Input(): call(onSubmit(Str)) logging arguments 4 Why can’t we reuse the aspect? Timing of advice execution depends on both advice modifiers and pointcuts Logging Aspect (inner) Generic Logging abstract pointcut: input(); Aspect after() returning(String s) : input() { Log.add(s); } unable to change to before 5 Workaround in AspectJ is awkward: overview Required changes for more reusable aspect: generic aspect (e.g., logging) two abstract pointcuts, two advice decls. and an auxiliary method concrete aspects two concrete pointcuts even if they are not needed 6 Workaround in AspectJ is awkward: how to define generic aspect Simple Logging Aspect 1. define two pointcuts abstract pointcut: inputAfter(); for before and after abstract pointcut: inputBefore(); after() returning(String s) : inputAfter() { log(s); } 2. -
Implementation Notes
IMPLEMENTATION NOTES XEROX 3102464 lyric Release June 1987 XEROX COMMON LISP IMPLEMENTATION NOTES 3102464 Lyric Release June 1987 The information in this document is subject to change without notice and should not be construed as a commitment by Xerox Corporation. While every effort has been made to ensure the accuracy of this document, Xerox Corporation assumes no responsibility for any errors that may appear. Copyright @ 1987 by Xerox Corporation. Xerox Common Lisp is a trademark. All rights reserved. "Copyright protection claimed includes all forms and matters of copyrightable material and information now allowed by statutory or judicial law or hereinafter granted, including, without limitation, material generated from the software programs which are displayed on the screen, such as icons, screen display looks, etc. " This manual is set in Modern typeface with text written and formatted on Xerox Artificial Intelligence workstations. Xerox laser printers were used to produce text masters. PREFACE The Xerox Common Lisp Implementation Notes cover several aspects of the Lyric release. In these notes you will find: • An explanation of how Xerox Common Lisp extends the Common Lisp standard. For example, in Xerox Common Lisp the Common Lisp array-constructing function make-array has additional keyword arguments that enhance its functionality. • An explanation of how several ambiguities in Steele's Common Lisp: the Language were resolved. • A description of additional features that provide far more than extensions to Common Lisp. How the Implementation Notes are Organized . These notes are intended to accompany the Guy L. Steele book, Common Lisp: the Language which represents the current standard for Co~mon Lisp. -
PUB DAM Oct 67 CONTRACT N00014-83-6-0148; N00014-83-K-0655 NOTE 63P
DOCUMENT RESUME ED 290 438 IR 012 986 AUTHOR Cunningham, Robert E.; And Others TITLE Chips: A Tool for Developing Software Interfaces Interactively. INSTITUTION Pittsburgh Univ., Pa. Learning Research and Development Center. SPANS AGENCY Office of Naval Research, Arlington, Va. REPORT NO TR-LEP-4 PUB DAM Oct 67 CONTRACT N00014-83-6-0148; N00014-83-K-0655 NOTE 63p. PUB TYPE Reports - Research/Technical (143) EDRS PRICE MF01/PC03 Plus Postage. DESCRIPTORS *Computer Graphics; *Man Machine Systems; Menu Driven Software; Programing; *Programing Languages IDENTIF7ERS Direct Manipulation Interface' Interface Design Theory; *Learning Research and Development Center; LISP Programing Language; Object Oriented Programing ABSTRACT This report provides a detailed description of Chips, an interactive tool for developing software employing graphical/computer interfaces on Xerox Lisp machines. It is noted that Chips, which is implemented as a collection of customizable classes, provides the programmer with a rich graphical interface for the creation of rich graphical interfaces, and the end-user with classes for modeling the graphical relationships of objects on the screen and maintaining constraints between them. This description of the system is divided into five main sections: () the introduction, which provides background material and a general description of the system; (2) a brief overview of the report; (3) detailed explanations of the major features of Chips;(4) an in-depth discussion of the interactive aspects of the Chips development environment; and (5) an example session using Chips to develop and modify a small portion of an interface. Appended materials include descriptions of four programming techniques that have been sound useful in the development of Chips; descriptions of several systems developed at the Learning Research and Development Centel tsing Chips; and a glossary of key terms used in the report. -
The Evolution of Lisp
1 The Evolution of Lisp Guy L. Steele Jr. Richard P. Gabriel Thinking Machines Corporation Lucid, Inc. 245 First Street 707 Laurel Street Cambridge, Massachusetts 02142 Menlo Park, California 94025 Phone: (617) 234-2860 Phone: (415) 329-8400 FAX: (617) 243-4444 FAX: (415) 329-8480 E-mail: [email protected] E-mail: [email protected] Abstract Lisp is the world’s greatest programming language—or so its proponents think. The structure of Lisp makes it easy to extend the language or even to implement entirely new dialects without starting from scratch. Overall, the evolution of Lisp has been guided more by institutional rivalry, one-upsmanship, and the glee born of technical cleverness that is characteristic of the “hacker culture” than by sober assessments of technical requirements. Nevertheless this process has eventually produced both an industrial- strength programming language, messy but powerful, and a technically pure dialect, small but powerful, that is suitable for use by programming-language theoreticians. We pick up where McCarthy’s paper in the first HOPL conference left off. We trace the development chronologically from the era of the PDP-6, through the heyday of Interlisp and MacLisp, past the ascension and decline of special purpose Lisp machines, to the present era of standardization activities. We then examine the technical evolution of a few representative language features, including both some notable successes and some notable failures, that illuminate design issues that distinguish Lisp from other programming languages. We also discuss the use of Lisp as a laboratory for designing other programming languages. We conclude with some reflections on the forces that have driven the evolution of Lisp. -
Allegro CL User Guide
Allegro CL User Guide Volume 1 (of 2) version 4.3 March, 1996 Copyright and other notices: This is revision 6 of this manual. This manual has Franz Inc. document number D-U-00-000-01-60320-1-6. Copyright 1985-1996 by Franz Inc. All rights reserved. No part of this pub- lication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means electronic, mechanical, by photocopying or recording, or otherwise, without the prior and explicit written permission of Franz incorpo- rated. Restricted rights legend: Use, duplication, and disclosure by the United States Government are subject to Restricted Rights for Commercial Software devel- oped at private expense as specified in DOD FAR 52.227-7013 (c) (1) (ii). Allegro CL and Allegro Composer are registered trademarks of Franz Inc. Allegro Common Windows, Allegro Presto, Allegro Runtime, and Allegro Matrix are trademarks of Franz inc. Unix is a trademark of AT&T. The Allegro CL software as provided may contain material copyright Xerox Corp. and the Open Systems Foundation. All such material is used and distrib- uted with permission. Other, uncopyrighted material originally developed at MIT and at CMU is also included. Appendix B is a reproduction of chapters 5 and 6 of The Art of the Metaobject Protocol by G. Kiczales, J. des Rivieres, and D. Bobrow. All this material is used with permission and we thank the authors and their publishers for letting us reproduce their material. Contents Volume 1 Preface 1 Introduction 1.1 The language 1-1 1.2 History 1-1 1.3 Format -
“An Introduction to Aspect Oriented Programming in E”
“An Introduction to Aspect Oriented Programming in e” David Robinson [email protected] Rel_1.0: 21-JUNE-2006 Copyright © David Robinson 2006, all rights reserved 1 This white paper is based on the forthcoming book “What's so wrong with patching anyway? A pragmatic guide to using aspects and e”. Please contact [email protected] for more information. Rel_1.0: 21-JUNE-2006 2 Copyright © David Robinson 2006, all rights reserved Preface ______________________________________ 4 About Verilab__________________________________ 7 1 Introduction _______________________________ 8 2 What are aspects - part I? _____________________ 10 3 Why do I need aspects? What’s wrong with cross cutting concerns? ___________________________________ 16 4 Surely OOP doesn’t have any problems? ___________ 19 5 Why does AOP help?_________________________ 28 6 Theory vs. real life - what else is AOP good for? ______ 34 7 What are aspects - part II?_____________________ 40 Bibliography _________________________________ 45 Index ______________________________________ 48 Rel_1.0: 21-JUNE-2006 Copyright © David Robinson 2006, all rights reserved 3 Preface “But when our hypothetical Blub programmer looks in the other direction, up the power continuum, he doesn't realize he's looking up. What he sees are merely weird languages. He probably considers them about equivalent in power to Blub, but with all this other hairy stuff thrown in as well. Blub is good enough for him, because he thinks in Blub” Paul Graham 1 This paper is taken from a forthcoming book about Aspect Oriented Programming. Not just the academic stuff that you’ll read about elsewhere, although that’s useful, but the more pragmatic side of it as well. -
Understanding AOP Through the Study of Interpreters
Understanding AOP through the Study of Interpreters Robert E. Filman Research Institute for Advanced Computer Science NASA Ames Research Center, MS 269-2 Moffett Field, CA 94035 rfi[email protected] ABSTRACT mapping is of interest (e.g., variables vs. functions). The I return to the question of what distinguishes AOP lan- pseudo-code includes only enough detail to convey the ideas guages by considering how the interpreters of AOP lan- I’m trying to express. guages differ from conventional interpreters. Key elements for static transformation are seen to be redefinition of the Of course, a real implementation would need implementa- set and lookup operators in the interpretation of the lan- tions of the helper functions. In general, the helper functions guage. This analysis also yields a definition of crosscutting on environments—lookup, set, and extend—can be manip- in terms of interlacing of interpreter actions. ulated to create a large variety of different language fea- tures. The most straightforward implementation makes an environment a set of symbol–value pairs (a map from sym- 1. INTRODUCTION bols to values) joined to a pointer to a parent environment. I return to the question of what distinguishes AOP lan- Lookup finds the pair of the appropriate symbol, (perhaps guages from others [12, 14]. chaining through the parent environments in its search), re- turning its value; set finds the pair and changes its value A good way of understanding a programming language is by field; and extend builds a new map with some initial val- studying its interpreter [17]. This motif has been recently ues whose parent is the environment being extended. -
1960 1970 1980 1990 Japan California………………… UT IL in PA NJ NY Massachusetts………… Europe Lisp 1.5 TX
Japan UT IL PA NY Massachusetts………… Europe California………………… TX IN NJ Lisp 1.5 1960 1970 1980 1990 Direct Relationships Lisp 1.5 LISP Family Graph Lisp 1.5 LISP 1.5 Family Lisp 1.5 Basic PDP-1 LISP M-460 LISP 7090 LISP 1.5 BBN PDP-1 LISP 7094 LISP 1.5 Stanford PDP-1 LISP SDS-940 LISP Q-32 LISP PDP-6 LISP LISP 2 MLISP MIT PDP-1 LISP Stanford LISP 1.6 Cambridge LISP Standard LISP UCI-LISP MacLisp Family PDP-6 LISP MacLisp Multics MacLisp CMU SAIL MacLisp MacLisp VLISP Franz Lisp Machine Lisp LISP S-1 Lisp NIL Spice Lisp Zetalisp IBM Lisp Family 7090 LISP 1.5 Lisp360 Lisp370 Interlisp Illinois SAIL MacLisp VM LISP Interlisp Family SDS-940 LISP BBN-LISP Interlisp 370 Spaghetti stacks Interlisp LOOPS Common LOOPS Lisp Machines Spice Lisp Machine Lisp Interlisp Lisp (MIT CONS) (Xerox (BBN Jericho) (PERQ) (MIT CADR) Alto, Dorado, (LMI Lambda) Dolphin, Dandelion) Lisp Zetalisp TAO (3600) (ELIS) Machine Lisp (TI Explorer) Common Lisp Family APL APL\360 ECL Interlisp ARPA S-1 Lisp Scheme Meeting Spice at SRI, Lisp April 1991 PSL KCL NIL CLTL1 Zetalisp X3J13 CLTL2 CLOS ISLISP X3J13 Scheme Extended Family COMIT Algol 60 SNOBOL METEOR CONVERT Simula 67 Planner LOGO DAISY, Muddle Scheme 311, Microplanner Scheme 84 Conniver PLASMA (actors) Scheme Revised Scheme T 2 CLTL1 Revised Scheme Revised2 Scheme 3 CScheme Revised Scheme MacScheme PC Scheme Chez Scheme IEEE Revised4 Scheme Scheme Object-Oriented Influence Simula 67 Smalltalk-71 LOGO Smalltalk-72 CLU PLASMA (actors) Flavors Common Objects LOOPS ObjectLisp CommonLOOPS EuLisp New Flavors CLTL2 CLOS Dylan X3J13 ISLISP Lambda Calculus Church, 1941 λ Influence Lisp 1.5 Landin (SECD, ISWIM) Evans (PAL) Reynolds (Definitional Interpreters) Lisp370 Scheme HOPE ML Standard ML Standard ML of New Jersey Haskell FORTRAN Influence FORTRAN FLPL Lisp 1.5 S-1 Lisp Lisp Machine Lisp CLTL1 Revised3 Zetalisp Scheme X3J13 CLTL2 IEEE Scheme X3J13 John McCarthy Lisp 1.5 Danny Bobrow Richard Gabriel Guy Steele Dave Moon Jon L White. -
Lisp: Program Is Data
LISP: PROGRAM IS DATA A HISTORICAL PERSPECTIVE ON MACLISP Jon L White Laboratory for Computer Science, M.I.T.* ABSTRACT For over 10 years, MACLISP has supported a variety of projects at M.I.T.'s Artificial Intelligence Laboratory, and the Laboratory for Computer Science (formerly Project MAC). During this time, there has been a continuing development of the MACLISP system, spurred in great measure by the needs of MACSYMAdevelopment. Herein are reported, in amosiac, historical style, the major features of the system. For each feature discussed, an attempt will be made to mention the year of initial development, andthe names of persons or projectsprimarily responsible for requiring, needing, or suggestingsuch features. INTRODUCTION In 1964,Greenblatt and others participated in thecheck-out phase of DigitalEquipment Corporation's new computer, the PDP-6. This machine had a number of innovative features that were thought to be ideal for the development of a list processing system, and thus it was very appropriate that thefirst working program actually run on thePDP-6 was anancestor of thecurrent MACLISP. This earlyLISP was patterned after the existing PDP-1 LISP (see reference l), and was produced by using the text editor and a mini-assembler on the PDP-1. That first PDP-6 finally found its way into M.I.T.'s ProjectMAC for use by theArtificial lntelligence group (the A.1. grouplater became the M.I.T. Artificial Intelligence Laboratory, and Project MAC became the Laboratory for Computer Science). By 1968, the PDP-6 wasrunning the Incompatible Time-sharing system, and was soon supplanted by the PDP-IO.Today, the KL-I 0, anadvanced version of thePDP-10, supports a variety of time sharing systems, most of which are capable of running a MACLISP. -
Open Modules: Modular Reasoning About Advice
Open Modules: Modular Reasoning about Advice Jonathan Aldrich December 2004 CMU-ISRI-04-141 Institute for Software Research International School of Computer Science Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213-3890 This technical report is an expanded version of a paper submitted for publication. It supercedes Carnegie Mellon University Technical Report CMU-ISRI-04-108, published in March 2004 and revised in July 2004. This work was supported in part by the High Dependability Computing Program from NASA Ames cooperative agreement NCC-2-1298, NSF grant CCR-0204047, and the Army Research Office grant number DAAD19-02-1-0389 entitled ”Perpetually Available and Secure Information Systems.” Abstract Advice is a mechanism used by advanced object-oriented and aspect-oriented programming languages to augment the behavior of methods in a program. Advice can help to make programs more modular by separating crosscutting concerns more effectively, but it also challenges existing ideas about modu- larity and separate development. We study this challenge using a new, simple formal model for advice as it appears in languages like AspectJ. We then add a module system designed to leave program functionality as open to extension through advice as possi- ble, while still enabling separate reasoning about the code within a module. Our system, Open Modules, can either be used directly to facilitate separate, component-based development, or can be viewed as a model of the features that certain AOP IDEs provide. We define a formal system for reasoning about the observational equivalence of programs under advice, which can be used to show that clients are unaffected by semantics-preserving changes to a module’s implementation.