Experimenting with Programming Languages
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Application-Level Virtual Memory for Object-Oriented Systems Mariano Martinez Peck
Application-Level Virtual Memory for Object-Oriented Systems Mariano Martinez Peck To cite this version: Mariano Martinez Peck. Application-Level Virtual Memory for Object-Oriented Systems. Program- ming Languages [cs.PL]. Université des Sciences et Technologie de Lille - Lille I, 2012. English. tel-00764991 HAL Id: tel-00764991 https://tel.archives-ouvertes.fr/tel-00764991 Submitted on 26 Dec 2012 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. N° d’ordre : 40886 THESE présentée en vue d’obtenir le grade de DOCTEUR en Spécialité : informatique par Mariano MARTINEZ PECK DOCTORAT DELIVRE CONJOINTEMENT PAR MINES DOUAI ET L’UNIVERSITE DE LILLE 1 Titre de la thèse : Application-Level Virtual Memory for Object-Oriented Systems Soutenue le 29/10/2012 à 10h devant le jury d’examen : Président Jean-Bernard STEFANI (Directeur de recherche – INRIA Grenoble- Rhône-Alpes) Directeur de thèse Stéphane DUCASSE (Directeur de recherche – INRIA Lille) Rapporteur Robert HIRSCHFELD (Professeur – Hasso-Plattner-Institut, Universität Potsdam, Allemagne) Rapporteur Christophe DONY (Professeur – Université Montpellier 2) Examinateur Roel WUYTS (Professeur – IMEC & Katholieke Universiteit Leuven, Belgique) co-Encadrant Noury BOURAQADI (Maître-Assistant – Mines de Douai) co-Encadrant Marcus DENKER (Chargé de recherche – INRIA Lille) co-Encadrant Luc FABRESSE (Maître-Assistant – Mines de Douai) Laboratoire(s) d’accueil : Dépt. -
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Introduction to Smalltalk - References Ó Ivan Tomek 9/18/00 References Books Kent Beck: Smalltalk: Best Practice Patterns, Prentice-Hall, 1997. Timothy Budd: A Little Smalltalk, Addison-Wesley, 1987. Erich Gamma, Richard Helm, Ralph Johnson, John Vlassides: Design Patterns: Elements of Reusable Object-Oriented Software, Addison-Wesley, 1995. Adele Goldberg: Smalltalk-80: The Interactive Programming Environment, Addison-Wesley, 1983. Adele Goldberg, David Robson: Smalltalk-80: The Language and its Implementation, Addison-Wesley, 1985. Adele Goldberg, David Robson: Smalltalk-80, The Language, Addison-Wesley, 1989. Trevor Hopkins, Bernard Horan: Smalltalk: An Introduction to Application Development Using VisualWorks, Prentice-Hall, 1995. Tim Howard: The Smalltalk Developer’s Guide to Visual Works, SIGS Books, 1995. Ted Kaehler, Dave Patterson: A Taste of Smalltalk, Norton, 1986. Wilf Lalonde: Discovering Smalltalk, Addison-Wesley, 1994. Wilf Lalonde, John R. Pugh: Inside Smalltalk, Volume I, II, Prentice-Hall, 1991. Wilf Lalonde, John R. Pugh: Smalltalk/V, Practice and Experience, Prentice-Hall, 1994. Simon Lewis: The Art and Science of Smalltalk, Prentice-Hall, 1995. Chamond Liu: Smalltalk, Objects, and Design, Prentice-Hall, 1996. Mark Lorenz: Rapid Software Development with Smalltalk, SIGS Books, 1995. Lewis J. Pinson: An Introduction to Object-Oriented Programming and Smalltalk, Addison-Wesley, 1988. Jonathan Pletzke: Advanced Smalltalk, Wiley, 1997. Wolfgang Pree: Design Patterns for Object-Oriented Software Development, Addison-Wesley, 1994. Timothy Ryan: Distributed Object Technology, Concepts and Applications, Prentice-Hall, 1996. Dusko Savic: Object-Oriented Programming with Smalltalk, Prentice-Hall, 1990. Susan Skublics, Edward J. Klimas, David A. Thomas: Smalltalk with Style, Prentice-Hall, 1996. Dan Shafer, Dean A. Ritz: Practical Smalltalk, Springer-Verlag, 1991. -
A Metacircular Architecture for Runtime Optimisation Persistence Clément Béra
Sista: a Metacircular Architecture for Runtime Optimisation Persistence Clément Béra To cite this version: Clément Béra. Sista: a Metacircular Architecture for Runtime Optimisation Persistence. Program- ming Languages [cs.PL]. Université de Lille 1, 2017. English. tel-01634137 HAL Id: tel-01634137 https://hal.inria.fr/tel-01634137 Submitted on 13 Nov 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Universit´edes Sciences et Technologies de Lille { Lille 1 D´epartement de formation doctorale en informatique Ecole´ doctorale SPI Lille UFR IEEA Sista: a Metacircular Architecture for Runtime Optimisation Persistence THESE` pr´esent´eeet soutenue publiquement le 15 Septembre 2017 pour l'obtention du Doctorat de l'Universit´edes Sciences et Technologies de Lille (sp´ecialit´einformatique) par Cl´ement B´era Composition du jury Pr´esident: Theo D'Hondt Rapporteur : Ga¨elThomas, Laurence Tratt Examinateur : Elisa Gonzalez Boix Directeur de th`ese: St´ephaneDucasse Co-Encadreur de th`ese: Marcus Denker Laboratoire d'Informatique Fondamentale de Lille | UMR USTL/CNRS 8022 INRIA Lille - Nord Europe Numero´ d’ordre: XXXXX i Acknowledgments I would like to thank my thesis supervisors Stéphane Ducasse and Marcus Denker for allowing me to do a Ph.D at the RMoD group, as well as helping and supporting me during the three years of my Ph.D. -
Programming Language
Programming language A programming language is a formal language, which comprises a set of instructions that produce various kinds of output. Programming languages are used in computer programming to implement algorithms. Most programming languages consist of instructions for computers. There are programmable machines that use a set of specific instructions, rather than general programming languages. Early ones preceded the invention of the digital computer, the first probably being the automatic flute player described in the 9th century by the brothers Musa in Baghdad, during the Islamic Golden Age.[1] Since the early 1800s, programs have been used to direct the behavior of machines such as Jacquard looms, music boxes and player pianos.[2] The programs for these The source code for a simple computer program written in theC machines (such as a player piano's scrolls) did not programming language. When compiled and run, it will give the output "Hello, world!". produce different behavior in response to different inputs or conditions. Thousands of different programming languages have been created, and more are being created every year. Many programming languages are written in an imperative form (i.e., as a sequence of operations to perform) while other languages use the declarative form (i.e. the desired result is specified, not how to achieve it). The description of a programming language is usually split into the two components ofsyntax (form) and semantics (meaning). Some languages are defined by a specification document (for example, theC programming language is specified by an ISO Standard) while other languages (such as Perl) have a dominant implementation that is treated as a reference. -
Safe, Fast and Easy: Towards Scalable Scripting Languages
Safe, Fast and Easy: Towards Scalable Scripting Languages by Pottayil Harisanker Menon A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy. Baltimore, Maryland Feb, 2017 ⃝c Pottayil Harisanker Menon 2017 All rights reserved Abstract Scripting languages are immensely popular in many domains. They are char- acterized by a number of features that make it easy to develop small applications quickly - flexible data structures, simple syntax and intuitive semantics. However they are less attractive at scale: scripting languages are harder to debug, difficult to refactor and suffers performance penalties. Many research projects have tackled the issue of safety and performance for existing scripting languages with mixed results: the considerable flexibility offered by their semantics also makes them significantly harder to analyze and optimize. Previous research from our lab has led to the design of a typed scripting language built specifically to be flexible without losing static analyzability. Inthis dissertation, we present a framework to exploit this analyzability, with the aim of producing a more efficient implementation Our approach centers around the concept of adaptive tags: specialized tags attached to values that represent how it is used in the current program. Our frame- work abstractly tracks the flow of deep structural types in the program, and thuscan ii ABSTRACT efficiently tag them at runtime. Adaptive tags allow us to tackle key issuesatthe heart of performance problems of scripting languages: the framework is capable of performing efficient dispatch in the presence of flexible structures. iii Acknowledgments At the very outset, I would like to express my gratitude and appreciation to my advisor Prof. -
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. -
Dynamic Extension of Typed Functional Languages
Dynamic Extension of Typed Functional Languages Don Stewart PhD Dissertation School of Computer Science and Engineering University of New South Wales 2010 Supervisor: Assoc. Prof. Manuel M. T. Chakravarty Co-supervisor: Dr. Gabriele Keller Abstract We present a solution to the problem of dynamic extension in statically typed functional languages with type erasure. The presented solution re- tains the benefits of static checking, including type safety, aggressive op- timizations, and native code compilation of components, while allowing extensibility of programs at runtime. Our approach is based on a framework for dynamic extension in a stat- ically typed setting, combining dynamic linking, runtime type checking, first class modules and code hot swapping. We show that this framework is sufficient to allow a broad class of dynamic extension capabilities in any statically typed functional language with type erasure semantics. Uniquely, we employ the full compile-time type system to perform run- time type checking of dynamic components, and emphasize the use of na- tive code extension to ensure that the performance benefits of static typing are retained in a dynamic environment. We also develop the concept of fully dynamic software architectures, where the static core is minimal and all code is hot swappable. Benefits of the approach include hot swappable code and sophisticated application extension via embedded domain specific languages. We instantiate the concepts of the framework via a full implementation in the Haskell programming language: providing rich mechanisms for dy- namic linking, loading, hot swapping, and runtime type checking in Haskell for the first time. We demonstrate the feasibility of this architecture through a number of novel applications: an extensible text editor; a plugin-based network chat bot; a simulator for polymer chemistry; and xmonad, an ex- tensible window manager. -
What I Wish I Knew When Learning Haskell
What I Wish I Knew When Learning Haskell Stephen Diehl 2 Version This is the fifth major draft of this document since 2009. All versions of this text are freely available onmywebsite: 1. HTML Version http://dev.stephendiehl.com/hask/index.html 2. PDF Version http://dev.stephendiehl.com/hask/tutorial.pdf 3. EPUB Version http://dev.stephendiehl.com/hask/tutorial.epub 4. Kindle Version http://dev.stephendiehl.com/hask/tutorial.mobi Pull requests are always accepted for fixes and additional content. The only way this document will stayupto date and accurate through the kindness of readers like you and community patches and pull requests on Github. https://github.com/sdiehl/wiwinwlh Publish Date: March 3, 2020 Git Commit: 77482103ff953a8f189a050c4271919846a56612 Author This text is authored by Stephen Diehl. 1. Web: www.stephendiehl.com 2. Twitter: https://twitter.com/smdiehl 3. Github: https://github.com/sdiehl Special thanks to Erik Aker for copyediting assistance. Copyright © 20092020 Stephen Diehl This code included in the text is dedicated to the public domain. You can copy, modify, distribute and perform thecode, even for commercial purposes, all without asking permission. You may distribute this text in its full form freely, but may not reauthor or sublicense this work. Any reproductions of major portions of the text must include attribution. The software is provided ”as is”, without warranty of any kind, express or implied, including But not limitedtothe warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall the authorsor copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, Arising from, out of or in connection with the software or the use or other dealings in the software. -
Modernizing Applications with IBM CICS
Front cover Modernizing Applications with IBM CICS Russell Bonner Sophie Green Ezriel Gross Jim Harrison Debra Scharfstein Will Yates Redpaper IBM Redbooks Modernizing Applications with IBM CICS December 2020 REDP-5628-00 Note: Before using this information and the product it supports, read the information in “Notices” on page v. First Edition (December 2020) © Copyright International Business Machines Corporation 2020. All rights reserved. Note to U.S. Government Users Restricted Rights -- Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents Notices . .v Trademarks . vi Preface . vii Accompanying education course . vii Authors. viii Now you can become a published author, too! . viii Comments welcome. viii Stay connected to IBM Redbooks . ix Chapter 1. Introduction. 1 1.1 CICS and the hybrid multi-cloud . 2 1.2 Migrating to the hybrid multi-cloud . 2 1.2.1 Maintaining the status quo . 2 1.2.2 Using cloud-native applications. 2 1.2.3 Modernizing existing applications . 3 1.3 CICS Hello World COBOL example . 3 Chapter 2. IBM CICS application development . 5 2.1 Application development in CICS . 6 2.1.1 Batch processing versus online transaction processing . 6 2.1.2 Programming paradigm. 6 2.1.3 Basic architecture of a CICS program. 7 2.1.4 CICS resources. 9 2.2 CICS sample application. 10 2.3 CICS modernization . 11 2.4 CICS built-in transactions . 12 2.4.1 CICS Execute Command Interpreter . 12 2.4.2 CICS Execution Diagnostic Facility. 13 Chapter 3. Coding applications to run in IBM CICS. 15 3.1 Introduction to the EXEC CICS application programming interface . -
Commonspad Ocaml Library Programmer’S Manual
Commonspad OCaml Library Programmer’s manual Yoann Padioleau [email protected] December 29, 2009 Copyright c 2009 Yoann Padioleau. Permission is granted to copy, distribute and/or modify this doc- ument under the terms of the GNU Free Documentation License, Version 1.3. 1 Short Contents 1 Introduction 4 I Common 7 2 Overview 8 3 Basic 14 4 Basic types 31 5 Collection 46 6 Misc 61 II OCommon 66 7 Overview 67 8 Ocollection 68 9 Oset 71 10 Oassoc 73 11 Osequence 74 12 Oarray 75 13 Ograph 77 14 Odb 81 2 III Extra Common 82 15 Interface 84 16 Concurrency 89 17 Distribution 90 18 Graphic 91 19 OpenGL 92 20 GUI 93 21 ParserCombinators 94 22 Backtrace 100 23 Glimpse 101 24 Regexp 103 25 Sexp and binio 104 26 Python 105 Conclusion 106 A Indexes 107 B References 108 3 Contents 1 Introduction 4 1.1 Features . 4 1.2 Copyright . 5 1.3 Source organization . 6 1.4 API organization . 6 1.5 Acknowledgements . 6 I Common 7 2 Overview 8 3 Basic 14 3.1 Pervasive types and operators . 14 3.2 Debugging, logging . 15 3.3 Profiling . 17 3.4 Testing . 18 3.5 Persitence . 20 3.6 Counter . 21 3.7 Stringof . 21 3.8 Macro . 22 3.9 Composition and control . 22 3.10 Concurrency . 24 3.11 Error management . 24 3.12 Environment . 25 3.13 Arguments . 28 3.14 Equality . 29 4 Basic types 31 4.1 Bool . 31 4.2 Char . 31 4.3 Num . -
Dissertation Submitted in Partial Fulfillment of the Requirements for The
ON THE HUMAN FACTORS IMPACT OF POLYGLOT PROGRAMMING ON PROGRAMMER PRODUCTIVITY by Phillip Merlin Uesbeck Master of Science - Computer Science University of Nevada, Las Vegas 2016 Bachelor of Science - Applied Computer Science Universit¨at Duisburg-Essen 2014 A dissertation submitted in partial fulfillment of the requirements for the Doctor of Philosophy { Computer Science Department of Computer Science Howard R. Hughes College of Engineering The Graduate College University of Nevada, Las Vegas December 2019 c Phillip Merlin Uesbeck, 2019 All Rights Reserved Dissertation Approval The Graduate College The University of Nevada, Las Vegas November 15, 2019 This dissertation prepared by Phillip Merlin Uesbeck entitled On The Human Factors Impact of Polyglot Programming on Programmer Productivity is approved in partial fulfillment of the requirements for the degree of Doctor of Philosophy – Computer Science Department of Computer Science Andreas Stefik, Ph.D. Kathryn Hausbeck Korgan, Ph.D. Examination Committee Chair Graduate College Dean Jan Pedersen, Ph.D. Examination Committee Member Evangelos Yfantis, Ph.D. Examination Committee Member Hal Berghel, Ph.D. Examination Committee Member Deborah Arteaga-Capen, Ph.D. Graduate College Faculty Representative ii Abstract Polyglot programming is a common practice in modern software development. This practice is often con- sidered useful to create software by allowing developers to use whichever language they consider most well suited for the different parts of their software. Despite this ubiquity of polyglot programming there is no empirical research into how this practice affects software developers and their productivity. In this disser- tation, after reviewing the state of the art in programming language and linguistic research pertaining to the topic, this matter is investigated by way of two empirical studies with 109 and 171 participants solving programming tasks. -
CONFERENCE COMPANION ESUG 2008 - 16Th International Smalltalk Conference
ESUG-2008 CONFERENCE COMPANION ESUG 2008 - 16th International Smalltalk Conference CONTENTS Platinum Sponsors.......................................................................................................... 3 Gold Sponsors................................................................................................................ 4 Conference Location....................................................................................................... 5 Program Overview........................................................................................................... 8 Saturday, August 23...................................................................................................... 10 Sunday, August 24......................................................................................................... 10 Monday, August 25....................................................................................................... 11 Tuesday, August 26....................................................................................................... 16 Wednesday, August 27.................................................................................................. 20 Thursday, August 28...................................................................................................... 23 Friday, August 29........................................................................................................... 27 Program Overview........................................................................................................