Design and Implementation of an Interpreter Using Software Engineering Concepts
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Executable Code Is Not the Proper Subject of Copyright Law a Retrospective Criticism of Technical and Legal Naivete in the Apple V
Executable Code is Not the Proper Subject of Copyright Law A retrospective criticism of technical and legal naivete in the Apple V. Franklin case Matthew M. Swann, Clark S. Turner, Ph.D., Department of Computer Science Cal Poly State University November 18, 2004 Abstract: Copyright was created by government for a purpose. Its purpose was to be an incentive to produce and disseminate new and useful knowledge to society. Source code is written to express its underlying ideas and is clearly included as a copyrightable artifact. However, since Apple v. Franklin, copyright has been extended to protect an opaque software executable that does not express its underlying ideas. Common commercial practice involves keeping the source code secret, hiding any innovative ideas expressed there, while copyrighting the executable, where the underlying ideas are not exposed. By examining copyright’s historical heritage we can determine whether software copyright for an opaque artifact upholds the bargain between authors and society as intended by our Founding Fathers. This paper first describes the origins of copyright, the nature of software, and the unique problems involved. It then determines whether current copyright protection for the opaque executable realizes the economic model underpinning copyright law. Having found the current legal interpretation insufficient to protect software without compromising its principles, we suggest new legislation which would respect the philosophy on which copyright in this nation was founded. Table of Contents INTRODUCTION................................................................................................. 1 THE ORIGIN OF COPYRIGHT ........................................................................... 1 The Idea is Born 1 A New Beginning 2 The Social Bargain 3 Copyright and the Constitution 4 THE BASICS OF SOFTWARE .......................................................................... -
Studying the Real World Today's Topics
Studying the real world Today's topics Free and open source software (FOSS) What is it, who uses it, history Making the most of other people's software Learning from, using, and contributing Learning about your own system Using tools to understand software without source Free and open source software Access to source code Free = freedom to use, modify, copy Some potential benefits Can build for different platforms and needs Development driven by community Different perspectives and ideas More people looking at the code for bugs/security issues Structure Volunteers, sponsored by companies Generally anyone can propose ideas and submit code Different structures in charge of what features/code gets in Free and open source software Tons of FOSS out there Nearly everything on myth Desktop applications (Firefox, Chromium, LibreOffice) Programming tools (compilers, libraries, IDEs) Servers (Apache web server, MySQL) Many companies contribute to FOSS Android core Apple Darwin Microsoft .NET A brief history of FOSS 1960s: Software distributed with hardware Source included, users could fix bugs 1970s: Start of software licensing 1974: Software is copyrightable 1975: First license for UNIX sold 1980s: Popularity of closed-source software Software valued independent of hardware Richard Stallman Started the free software movement (1983) The GNU project GNU = GNU's Not Unix An operating system with unix-like interface GNU General Public License Free software: users have access to source, can modify and redistribute Must share modifications under same -
Chapter 1 Introduction to Computers, Programs, and Java
Chapter 1 Introduction to Computers, Programs, and Java 1.1 Introduction • The central theme of this book is to learn how to solve problems by writing a program . • This book teaches you how to create programs by using the Java programming languages . • Java is the Internet program language • Why Java? The answer is that Java enables user to deploy applications on the Internet for servers , desktop computers , and small hand-held devices . 1.2 What is a Computer? • A computer is an electronic device that stores and processes data. • A computer includes both hardware and software. o Hardware is the physical aspect of the computer that can be seen. o Software is the invisible instructions that control the hardware and make it work. • Computer programming consists of writing instructions for computers to perform. • A computer consists of the following hardware components o CPU (Central Processing Unit) o Memory (Main memory) o Storage Devices (hard disk, floppy disk, CDs) o Input/Output devices (monitor, printer, keyboard, mouse) o Communication devices (Modem, NIC (Network Interface Card)). Bus Storage Communication Input Output Memory CPU Devices Devices Devices Devices e.g., Disk, CD, e.g., Modem, e.g., Keyboard, e.g., Monitor, and Tape and NIC Mouse Printer FIGURE 1.1 A computer consists of a CPU, memory, Hard disk, floppy disk, monitor, printer, and communication devices. CMPS161 Class Notes (Chap 01) Page 1 / 15 Kuo-pao Yang 1.2.1 Central Processing Unit (CPU) • The central processing unit (CPU) is the brain of a computer. • It retrieves instructions from memory and executes them. -
Some Preliminary Implications of WTO Source Code Proposala INTRODUCTION
Some preliminary implications of WTO source code proposala INTRODUCTION ............................................................................................................................................... 1 HOW THIS IS TRIMS+ ....................................................................................................................................... 3 HOW THIS IS TRIPS+ ......................................................................................................................................... 3 WHY GOVERNMENTS MAY REQUIRE TRANSFER OF SOURCE CODE .................................................................. 4 TECHNOLOGY TRANSFER ........................................................................................................................................... 4 AS A REMEDY FOR ANTICOMPETITIVE CONDUCT ............................................................................................................. 4 TAX LAW ............................................................................................................................................................... 5 IN GOVERNMENT PROCUREMENT ................................................................................................................................ 5 WHY GOVERNMENTS MAY REQUIRE ACCESS TO SOURCE CODE ...................................................................... 5 COMPETITION LAW ................................................................................................................................................. -
CMPS 161 – Algorithm Design and Implementation I Current Course Description
CMPS 161 – Algorithm Design and Implementation I Current Course Description: Credit 3 hours. Prerequisite: Mathematics 161 or 165 or permission of the Department Head. Basic concepts of computer programming, problem solving, algorithm development, and program coding using a high-level, block structured language. Credit may be given for both Computer Science 110 and 161. Minimum Topics: • Fundamental programming constructs: Syntax and semantics of a higher-level language; variables, types, expressions, and assignment; simple I/O; conditional and iterative control structures; functions and parameter passing; structured decomposition • Algorithms and problem-solving: Problem-solving strategies; the role of algorithms in the problem- solving process; implementation strategies for algorithms; debugging strategies; the concept and properties of algorithms • Fundamental data structures: Primitive types; single-dimension and multiple-dimension arrays; strings and string processing • Machine level representation of data: Bits, bytes and words; numeric data representation; representation of character data • Human-computer interaction: Introduction to design issues • Software development methodology: Fundamental design concepts and principles; structured design; testing and debugging strategies; test-case design; programming environments; testing and debugging tools Learning Objectives: Students will be able to: • Analyze and explain the behavior of simple programs involving the fundamental programming constructs covered by this unit. • Modify and expand short programs that use standard conditional and iterative control structures and functions. • Design, implement, test, and debug a program that uses each of the following fundamental programming constructs: basic computation, simple I/O, standard conditional and iterative structures, and the definition of functions. • Choose appropriate conditional and iteration constructs for a given programming task. • Apply the techniques of structured (functional) decomposition to break a program into smaller pieces. -
Skepu 2: Flexible and Type-Safe Skeleton Programming for Heterogeneous Parallel Systems
Int J Parallel Prog DOI 10.1007/s10766-017-0490-5 SkePU 2: Flexible and Type-Safe Skeleton Programming for Heterogeneous Parallel Systems August Ernstsson1 · Lu Li1 · Christoph Kessler1 Received: 30 September 2016 / Accepted: 10 January 2017 © The Author(s) 2017. This article is published with open access at Springerlink.com Abstract In this article we present SkePU 2, the next generation of the SkePU C++ skeleton programming framework for heterogeneous parallel systems. We critically examine the design and limitations of the SkePU 1 programming interface. We present a new, flexible and type-safe, interface for skeleton programming in SkePU 2, and a source-to-source transformation tool which knows about SkePU 2 constructs such as skeletons and user functions. We demonstrate how the source-to-source compiler transforms programs to enable efficient execution on parallel heterogeneous systems. We show how SkePU 2 enables new use-cases and applications by increasing the flexibility from SkePU 1, and how programming errors can be caught earlier and easier thanks to improved type safety. We propose a new skeleton, Call, unique in the sense that it does not impose any predefined skeleton structure and can encapsulate arbitrary user-defined multi-backend computations. We also discuss how the source- to-source compiler can enable a new optimization opportunity by selecting among multiple user function specializations when building a parallel program. Finally, we show that the performance of our prototype SkePU 2 implementation closely matches that of -
Software Requirements Implementation and Management
Software Requirements Implementation and Management Juho Jäälinoja¹ and Markku Oivo² 1 VTT Technical Research Centre of Finland P.O. Box 1100, 90571 Oulu, Finland [email protected] tel. +358-40-8415550 2 University of Oulu P.O. Box 3000, 90014 University of Oulu, Finland [email protected] tel. +358-8-553 1900 Abstract. Proper elicitation, analysis, and documentation of requirements at the beginning of a software development project are considered important preconditions for successful software development. Furthermore, successful development requires that the requirements be correctly implemented and managed throughout the rest of the development. This latter success criterion is discussed in this paper. The paper presents a taxonomy for requirements implementation and management (RIM) and provides insights into the current state of these practices in the software industry. Based on the taxonomy and the industrial observations, a model for RIM is elaborated. The model describes the essential elements needed for successful implementation and management of requirements. In addition, three critical elements of the model with which the practitioners are currently struggling are discussed. These elements were identified as (1) involvement of software developers in system level requirements allocation, (2) work product verification with reviews, and (3) requirements traceability. Keywords: Requirements engineering, software requirements, requirements implementation, requirements management 1/9 1. INTRODUCTION Among the key concepts of efficient software development are proper elicitation, analysis, and documentation of requirements at the beginning of a project and correct implementation and management of these requirements in the later stages of the project. In this paper, the latter issue related to the life of software requirements beyond their initial development is discussed. -
Efficient High-Level Parallel Programming
Theoretical Computer Science EISEVIER Theoretical Computer Science 196 (1998) 71-107 Efficient high-level parallel programming George Horaliu Botoroga,*,‘, Herbert Kuchenb aAachen University of Technology, Lehrstuhl fiir Informatik IL Ahornstr. 55, D-52074 Aachen, Germany b University of Miinster, Institut fir Wirtschaftsinformatik, Grevener Str. 91, D-48159 Miinster, Germany Abstract Algorithmic skeletons are polymorphic higher-order functions that represent common parallel- ization patterns and that are implemented in parallel. They can be used as the building blocks of parallel and distributed applications by embedding them into a sequential language. In this paper, we present a new approach to programming with skeletons. We integrate the skeletons into an imperative host language enhanced with higher-order functions and currying, as well as with a polymorphic type system. We thus obtain a high-level programming language, which can be implemented very efficiently. We then present a compile-time technique for the implementation of the functional features which has an important positive impact on the efficiency of the language. Afier describing a series of skeletons which work with distributed arrays, we give two examples of parallel algorithms implemented in our language, namely matrix multiplication and Gaussian elimination. Run-time measurements for these and other applications show that we approach the efficiency of message-passing C up to a factor between 1 and 1.5. @ 1998-Elsevier Science B.V. All rights reserved Keywords: Algorithmic skeletons; High-level parallel programming; Efficient implementation of functional features; Distributed arrays 1. Introduction Although parallel and distributed systems gain more and more importance nowadays, the state of the art in the field of parallel software is far from being satisfactory. -
Map, Reduce and Mapreduce, the Skeleton Way$
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Procedia Computer Science ProcediaProcedia Computer Computer Science Science 00 1 (2010)(2012) 1–9 2095–2103 www.elsevier.com/locate/procedia International Conference on Computational Science, ICCS 2010 Map, Reduce and MapReduce, the skeleton way$ D. Buonoa, M. Daneluttoa, S. Lamettia aDept. of Computer Science, Univ. of Pisa, Italy Abstract Composition of Map and Reduce algorithmic skeletons have been widely studied at the end of the last century and it has demonstrated effective on a wide class of problems. We recall the theoretical results motivating the intro- duction of these skeletons, then we discuss an experiment implementing three algorithmic skeletons, a map,areduce and an optimized composition of a map followed by a reduce skeleton (map+reduce). The map+reduce skeleton implemented computes the same kind of problems computed by Google MapReduce, but the data flow through the skeleton is streamed rather than relying on already distributed (and possibly quite large) data items. We discuss the implementation of the three skeletons on top of ProActive/GCM in the MareMare prototype and we present some experimental obtained on a COTS cluster. ⃝c 2012 Published by Elsevier Ltd. Open access under CC BY-NC-ND license. Keywords: Algorithmic skeletons, map, reduce, list theory, homomorphisms 1. Introduction Algorithmic skeletons have been around since Murray Cole’s PhD thesis [1]. An algorithmic skeleton is a paramet- ric, reusable, efficient and composable programming construct that exploits a well know, efficient parallelism exploita- tion pattern. A skeleton programmer may build parallel applications simply picking up a (composition of) skeleton from the skeleton library available, providing the required parameters and running some kind of compiler+run time library tool specific of the target architecture at hand [2]. -
Using the Unibasic Debugger
C:\Program Files\Adobe\FrameMaker8\UniData 7.2\7.2rebranded\DEBUGGER\BASBTITL.fm March 8, 2010 10:30 am Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta UniData Using the UniBasic Debugger UDT-720-UDEB-1 C:\Program Files\Adobe\FrameMaker8\UniData 7.2\7.2rebranded\DEBUGGER\BASBTITL.fm March 8, 2010 10:30 am Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Notices Edition Publication date: July 2008 Book number: UDT-720-UDEB-1 Product version: UniData 7.2 Copyright © Rocket Software, Inc. 1988-2008. All Rights Reserved. Trademarks The following trademarks appear in this publication: Trademark Trademark Owner Rocket Software™ Rocket Software, Inc. Dynamic Connect® Rocket Software, Inc. RedBack® Rocket Software, Inc. SystemBuilder™ Rocket Software, Inc. UniData® Rocket Software, Inc. UniVerse™ Rocket Software, Inc. U2™ Rocket Software, Inc. U2.NET™ Rocket Software, Inc. U2 Web Development Environment™ Rocket Software, Inc. wIntegrate® Rocket Software, Inc. Microsoft® .NET Microsoft Corporation Microsoft® Office Excel®, Outlook®, Word Microsoft Corporation Windows® Microsoft Corporation Windows® 7 Microsoft Corporation Windows Vista® Microsoft Corporation Java™ and all Java-based trademarks and logos Sun Microsystems, Inc. UNIX® X/Open Company Limited ii Using the UniBasic Debugger The above trademarks are property of the specified companies in the United States, other countries, or both. All other products or services mentioned in this document may be covered by the trademarks, service marks, or product names as designated by the companies who own or market them. License agreement This software and the associated documentation are proprietary and confidential to Rocket Software, Inc., are furnished under license, and may be used and copied only in accordance with the terms of such license and with the inclusion of the copyright notice. -
Kednos PL/I for Openvms Systems User Manual
) Kednos PL/I for OpenVMS Systems User Manual Order Number: AA-H951E-TM November 2003 This manual provides an overview of the PL/I programming language. It explains programming with Kednos PL/I on OpenVMS VAX Systems and OpenVMS Alpha Systems. It also describes the operation of the Kednos PL/I compilers and the features of the operating systems that are important to the PL/I programmer. Revision/Update Information: This revised manual supersedes the PL/I User’s Manual for VAX VMS, Order Number AA-H951D-TL. Operating System and Version: For Kednos PL/I for OpenVMS VAX: OpenVMS VAX Version 5.5 or higher For Kednos PL/I for OpenVMS Alpha: OpenVMS Alpha Version 6.2 or higher Software Version: Kednos PL/I Version 3.8 for OpenVMS VAX Kednos PL/I Version 4.4 for OpenVMS Alpha Published by: Kednos Corporation, Pebble Beach, CA, www.Kednos.com First Printing, August 1980 Revised, November 1983 Updated, April 1985 Revised, April 1987 Revised, January 1992 Revised, May 1992 Revised, November 1993 Revised, April 1995 Revised, October 1995 Revised, November 2003 Kednos Corporation makes no representations that the use of its products in the manner described in this publication will not infringe on existing or future patent rights, nor do the descriptions contained in this publication imply the granting of licenses to make, use, or sell equipment or software in accordance with the description. Possession, use, or copying of the software described in this publication is authorized only pursuant to a valid written license from Kednos Corporation or an anthorized sublicensor. -
Engineering Definitional Interpreters
Reprinted from the 15th International Symposium on Principles and Practice of Declarative Programming (PPDP 2013) Engineering Definitional Interpreters Jan Midtgaard Norman Ramsey Bradford Larsen Department of Computer Science Department of Computer Science Veracode Aarhus University Tufts University [email protected] [email protected] [email protected] Abstract In detail, we make the following contributions: A definitional interpreter should be clear and easy to write, but it • We investigate three styles of semantics, each of which leads to may run 4–10 times slower than a well-crafted bytecode interpreter. a family of definitional interpreters. A “family” is characterized In a case study focused on implementation choices, we explore by its representation of control contexts. Our best-performing ways of making definitional interpreters faster without expending interpreter, which arises from a natural semantics, represents much programming effort. We implement, in OCaml, interpreters control contexts using control contexts of the metalanguage. based on three semantics for a simple subset of Lua. We com- • We evaluate other implementation choices: how names are rep- pile the OCaml to 86 native code, and we systematically inves- x resented, how environments are represented, whether the inter- tigate hundreds of combinations of algorithms and data structures. preter has a separate “compilation” step, where intermediate re- In this experimental context, our fastest interpreters are based on sults are stored, and how loops are implemented. natural semantics; good algorithms and data structures make them 2–3 times faster than na¨ıve interpreters. Our best interpreter, cre- • We identify combinations of implementation choices that work ated using only modest effort, runs only 1.5 times slower than a well together.