Static Typing Where Possible, Dynamic Typing When Needed: the End of the Cold War Between Programming Languages
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A Polymorphic Type System for Extensible Records and Variants
A Polymorphic Typ e System for Extensible Records and Variants Benedict R. Gaster and Mark P. Jones Technical rep ort NOTTCS-TR-96-3, November 1996 Department of Computer Science, University of Nottingham, University Park, Nottingham NG7 2RD, England. fbrg,[email protected] Abstract b oard, and another indicating a mouse click at a par- ticular p oint on the screen: Records and variants provide exible ways to construct Event = Char + Point : datatyp es, but the restrictions imp osed by practical typ e systems can prevent them from b eing used in ex- These de nitions are adequate, but they are not par- ible ways. These limitations are often the result of con- ticularly easy to work with in practice. For example, it cerns ab out eciency or typ e inference, or of the di- is easy to confuse datatyp e comp onents when they are culty in providing accurate typ es for key op erations. accessed by their p osition within a pro duct or sum, and This pap er describ es a new typ e system that reme- programs written in this way can b e hard to maintain. dies these problems: it supp orts extensible records and To avoid these problems, many programming lan- variants, with a full complement of p olymorphic op era- guages allow the comp onents of pro ducts, and the al- tions on each; and it o ers an e ective type inference al- ternatives of sums, to b e identi ed using names drawn gorithm and a simple compilation metho d. -
Opencobol Manual for Opencobol 2.0
OpenCOBOL Manual for OpenCOBOL 2.0 Keisuke Nishida / Roger While Edition 2.0 Updated for OpenCOBOL 2.0 26 January 2012 OpenCOBOL is an open-source COBOL compiler, which translates COBOL programs to C code and compiles it using GCC or other C compiler system. This manual corresponds to OpenCOBOL 2.0. Copyright c 2002,2003,2004,2005,2006 Keisuke Nishida Copyright c 2007-2012 Roger While Permission is granted to make and distribute verbatim copies of this manual provided the copy- right notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the condi- tions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this manual into another language, under the above conditions for modified versions, except that this permission notice maybe stated in a translation approved by the Free Software Foundation. i Table of Contents 1 Getting Started :::::::::::::::::::::::::::::::::::::::::::::::: 1 1.1 Hello World!::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 1 2 Compile :::::::::::::::::::::::::::::::::::::::::::::::::::::::: 2 2.1 Compiler Options ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 2 2.1.1 Help Options ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 2 2.1.2 Built Target :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: -
Generic Programming
Generic Programming July 21, 1998 A Dagstuhl Seminar on the topic of Generic Programming was held April 27– May 1, 1998, with forty seven participants from ten countries. During the meeting there were thirty seven lectures, a panel session, and several problem sessions. The outcomes of the meeting include • A collection of abstracts of the lectures, made publicly available via this booklet and a web site at http://www-ca.informatik.uni-tuebingen.de/dagstuhl/gpdag.html. • Plans for a proceedings volume of papers submitted after the seminar that present (possibly extended) discussions of the topics covered in the lectures, problem sessions, and the panel session. • A list of generic programming projects and open problems, which will be maintained publicly on the World Wide Web at http://www-ca.informatik.uni-tuebingen.de/people/musser/gp/pop/index.html http://www.cs.rpi.edu/˜musser/gp/pop/index.html. 1 Contents 1 Motivation 3 2 Standards Panel 4 3 Lectures 4 3.1 Foundations and Methodology Comparisons ........ 4 Fundamentals of Generic Programming.................. 4 Jim Dehnert and Alex Stepanov Automatic Program Specialization by Partial Evaluation........ 4 Robert Gl¨uck Evaluating Generic Programming in Practice............... 6 Mehdi Jazayeri Polytypic Programming........................... 6 Johan Jeuring Recasting Algorithms As Objects: AnAlternativetoIterators . 7 Murali Sitaraman Using Genericity to Improve OO Designs................. 8 Karsten Weihe Inheritance, Genericity, and Class Hierarchies.............. 8 Wolf Zimmermann 3.2 Programming Methodology ................... 9 Hierarchical Iterators and Algorithms................... 9 Matt Austern Generic Programming in C++: Matrix Case Study........... 9 Krzysztof Czarnecki Generative Programming: Beyond Generic Programming........ 10 Ulrich Eisenecker Generic Programming Using Adaptive and Aspect-Oriented Programming . -
Data Types and Variables
Color profile: Generic CMYK printer profile Composite Default screen Complete Reference / Visual Basic 2005: The Complete Reference / Petrusha / 226033-5 / Chapter 2 2 Data Types and Variables his chapter will begin by examining the intrinsic data types supported by Visual Basic and relating them to their corresponding types available in the .NET Framework’s Common TType System. It will then examine the ways in which variables are declared in Visual Basic and discuss variable scope, visibility, and lifetime. The chapter will conclude with a discussion of boxing and unboxing (that is, of converting between value types and reference types). Visual Basic Data Types At the center of any development or runtime environment, including Visual Basic and the .NET Common Language Runtime (CLR), is a type system. An individual type consists of the following two items: • A set of values. • A set of rules to convert every value not in the type into a value in the type. (For these rules, see Appendix F.) Of course, every value of another type cannot always be converted to a value of the type; one of the more common rules in this case is to throw an InvalidCastException, indicating that conversion is not possible. Scalar or primitive types are types that contain a single value. Visual Basic 2005 supports two basic kinds of scalar or primitive data types: structured data types and reference data types. All data types are inherited from either of two basic types in the .NET Framework Class Library. Reference types are derived from System.Object. Structured data types are derived from the System.ValueType class, which in turn is derived from the System.Object class. -
Software II: Principles of Programming Languages
Software II: Principles of Programming Languages Lecture 6 – Data Types Some Basic Definitions • A data type defines a collection of data objects and a set of predefined operations on those objects • A descriptor is the collection of the attributes of a variable • An object represents an instance of a user- defined (abstract data) type • One design issue for all data types: What operations are defined and how are they specified? Primitive Data Types • Almost all programming languages provide a set of primitive data types • Primitive data types: Those not defined in terms of other data types • Some primitive data types are merely reflections of the hardware • Others require only a little non-hardware support for their implementation The Integer Data Type • Almost always an exact reflection of the hardware so the mapping is trivial • There may be as many as eight different integer types in a language • Java’s signed integer sizes: byte , short , int , long The Floating Point Data Type • Model real numbers, but only as approximations • Languages for scientific use support at least two floating-point types (e.g., float and double ; sometimes more • Usually exactly like the hardware, but not always • IEEE Floating-Point Standard 754 Complex Data Type • Some languages support a complex type, e.g., C99, Fortran, and Python • Each value consists of two floats, the real part and the imaginary part • Literal form real component – (in Fortran: (7, 3) imaginary – (in Python): (7 + 3j) component The Decimal Data Type • For business applications (money) -
Dynamic C++ Classes a Lightweight Mechanism to Update Code in a Running Program
The following paper was originally published in the Proceedings of the USENIX Annual Technical Conference (NO 98) New Orleans, Louisiana, June 1998 Dynamic C++ Classes A lightweight mechanism to update code in a running program Gísli Hjálmtÿsson AT&T Labs - Research Robert Gray Dartmouth College For more information about USENIX Association contact: 1. Phone: 510 528-8649 2. FAX: 510 548-5738 3. Email: [email protected] 4. WWW URL:http://www.usenix.org/ Dynamic C++ Classes A lightweight mechanism to update code in a running program Gísli Hjálmtýsson Robert Gray AT&T Labs – Research Thayer School of Engineering1 180 Park Avenue Dartmouth College Florham Park, NJ 07932 Hanover, NH 03755 [email protected] [email protected] has transformed many industries, continuous change has Abstract become just as important as continuous operation. Techniques for dynamically adding new code to a run- Rapid introduction of new functionality and dynamic ning program already exist in various operating sys- adaptation to volatile needs is essential. Systems, par- tems, programming languages and runtime environ- ticularly telecommunications systems, must be custom- ments. Most of these systems have not found their way ized on a very fine time scale, either due to user demand 1 into common use, however, since they require pro- or to load and usage fluctuations. grammer retraining and invalidate previous software An effective way to allow both continuous operation investments. In addition, many of the systems are too and continuous change is through dynamic code up- high-level for performance-critical applications. This dates. New code is added to a running program without paper presents an implementation of dynamic classes halting the program, thus introducing new functionality for the C++ language. -
Reprogramming Embedded Systems at Run-Time
Proceedings of the 8th International Conference on Sensing Technology, Sep. 2-4, 2014, Liverpool, UK Reprogramming Embedded Systems at Run-Time Richard Oliver, Adriana Wilde IEEE(S) and Ed Zaluska SMIEEE Electronics and Computer Science University of Southampton, United Kingdom {rjo2g10,agw106,ejz}@ecs.soton.ac.uk Abstract—The dynamic re-programming of embedded systems is load mechanisms. This paper aims to address the problem of a long-standing problem in the field. With the advent of wireless dynamic reprogramming of such systems, and will offer sensor networks and the ‘Internet of Things’ it has now become comparison and a critical appraisal of the methods currently necessary to be able to reprogram at run-time due to the being used in the field. difficulty of gaining access to such systems once deployed. The issues of power consumption, flexibility, and operating system The remainder of this paper is structured as follows. protections are examined for a range of approaches, and a Section II explains code execution on embedded devices, critical comparison is given. A combination of approaches is section III discusses various existing methods, focusing on the recommended for the implementation of real-world systems and issues of power consumption, flexibility of approach, and OS areas where further work is required are highlighted. protection. Section IV follows with conclusions and suggests future work in the area. Keywords-Wireless sensor networks; Programming; Runtime, Energy consumption II. BACKGROUND I. INTRODUCTION This section will cover the execution of code on microcontrollers. This is typically of no concern when flashing Embedded systems are pervasive in the modern world, a static image to a microcontroller but a greater understanding being found in systems as widely ranging as fridges, cars, is required to implement dynamic code loading. -
Should Your Specification Language Be Typed?
Should Your Specification Language Be Typed? LESLIE LAMPORT Compaq and LAWRENCE C. PAULSON University of Cambridge Most specification languages have a type system. Type systems are hard to get right, and getting them wrong can lead to inconsistencies. Set theory can serve as the basis for a specification lan- guage without types. This possibility, which has been widely overlooked, offers many advantages. Untyped set theory is simple and is more flexible than any simple typed formalism. Polymorphism, overloading, and subtyping can make a type system more powerful, but at the cost of increased complexity, and such refinements can never attain the flexibility of having no types at all. Typed formalisms have advantages too, stemming from the power of mechanical type checking. While types serve little purpose in hand proofs, they do help with mechanized proofs. In the absence of verification, type checking can catch errors in specifications. It may be possible to have the best of both worlds by adding typing annotations to an untyped specification language. We consider only specification languages, not programming languages. Categories and Subject Descriptors: D.2.1 [Software Engineering]: Requirements/Specifica- tions; D.2.4 [Software Engineering]: Software/Program Verification—formal methods; F.3.1 [Logics and Meanings of Programs]: Specifying and Verifying and Reasoning about Pro- grams—specification techniques General Terms: Verification Additional Key Words and Phrases: Set theory, specification, types Editors’ introduction. We have invited the following -
Advanced Development of Certified OS Kernels Prof
Advanced Development of Certified OS Kernels Zhong Shao (PI) and Bryan Ford (Co-PI) Department of Computer Science Yale University P.O.Box 208285 New Haven, CT 06520-8285, USA {zhong.shao,bryan.ford}yale.edu July 15, 2010 1 Innovative Claims Operating System (OS) kernels form the bedrock of all system software—they can have the greatest impact on the resilience, extensibility, and security of today’s computing hosts. A single kernel bug can easily wreck the entire system’s integrity and protection. We propose to apply new advances in certified software [86] to the development of a novel OS kernel. Our certified kernel will offer safe and application-specific extensibility [8], provable security properties with information flow control, and accountability and recovery from hardware or application failures. Our certified kernel builds on proof-carrying code concepts [74], where a binary executable includes a rigorous machine-checkable proof that the software is free of bugs with respect to spe- cific requirements. Unlike traditional verification systems, our certified software approach uses an expressive general-purpose meta-logic and machine-checkable proofs to support modular reason- ing about sophisticated invariants. The rich meta-logic enables us to verify all kinds of low-level assembly and C code [10,28,31,44,68,77,98] and to establish dependability claims ranging from simple safety properties to advanced security, correctness, and liveness properties. We advocate a modular certification framework for kernel components, which mirrors and enhances the modularity of the kernel itself. Using this framework, we aim to create not just a “one-off” lump of verified kernel code, but a statically and dynamically extensible kernel that can be incrementally built and extended with individual certified modules, each of which will provably preserve the kernel’s overall safety and security properties. -
A Core Calculus of Metaclasses
A Core Calculus of Metaclasses Sam Tobin-Hochstadt Eric Allen Northeastern University Sun Microsystems Laboratories [email protected] [email protected] Abstract see the problem, consider a system with a class Eagle and Metaclasses provide a useful mechanism for abstraction in an instance Harry. The static type system can ensure that object-oriented languages. But most languages that support any messages that Harry responds to are also understood by metaclasses impose severe restrictions on their use. Typi- any other instance of Eagle. cally, a metaclass is allowed to have only a single instance However, even in a language where classes can have static and all metaclasses are required to share a common super- methods, the desired relationships cannot be expressed. For class [6]. In addition, few languages that support metaclasses example, in such a language, we can write the expression include a static type system, and none include a type system Eagle.isEndangered() provided that Eagle has the ap- with nominal subtyping (i.e., subtyping as defined in lan- propriate static method. Such a method is appropriate for guages such as the JavaTM Programming Language or C#). any class that is a species. However, if Salmon is another To elucidate the structure of metaclasses and their rela- class in our system, our type system provides us no way of tionship with static types, we present a core calculus for a requiring that it also have an isEndangered method. This nominally typed object-oriented language with metaclasses is because we cannot classify both Salmon and Eagle, when and prove type soundness over this core. -
Specialising Dynamic Techniques for Implementing the Ruby Programming Language
SPECIALISING DYNAMIC TECHNIQUES FOR IMPLEMENTING THE RUBY PROGRAMMING LANGUAGE A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Engineering and Physical Sciences 2015 By Chris Seaton School of Computer Science This published copy of the thesis contains a couple of minor typographical corrections from the version deposited in the University of Manchester Library. [email protected] chrisseaton.com/phd 2 Contents List of Listings7 List of Tables9 List of Figures 11 Abstract 15 Declaration 17 Copyright 19 Acknowledgements 21 1 Introduction 23 1.1 Dynamic Programming Languages.................. 23 1.2 Idiomatic Ruby............................ 25 1.3 Research Questions.......................... 27 1.4 Implementation Work......................... 27 1.5 Contributions............................. 28 1.6 Publications.............................. 29 1.7 Thesis Structure............................ 31 2 Characteristics of Dynamic Languages 35 2.1 Ruby.................................. 35 2.2 Ruby on Rails............................. 36 2.3 Case Study: Idiomatic Ruby..................... 37 2.4 Summary............................... 49 3 3 Implementation of Dynamic Languages 51 3.1 Foundational Techniques....................... 51 3.2 Applied Techniques.......................... 59 3.3 Implementations of Ruby....................... 65 3.4 Parallelism and Concurrency..................... 72 3.5 Summary............................... 73 4 Evaluation Methodology 75 4.1 Evaluation Philosophy -
Linkers and Loaders Do?
Linkers & Loaders by John R. Levine Table of Contents 1 Table of Contents Chapter 0: Front Matter ........................................................ 1 Dedication .............................................................................................. 1 Introduction ............................................................................................ 1 Who is this book for? ......................................................................... 2 Chapter summaries ............................................................................. 3 The project ......................................................................................... 4 Acknowledgements ............................................................................ 5 Contact us ........................................................................................... 6 Chapter 1: Linking and Loading ........................................... 7 What do linkers and loaders do? ............................................................ 7 Address binding: a historical perspective .............................................. 7 Linking vs. loading .............................................................................. 10 Tw o-pass linking .............................................................................. 12 Object code libraries ........................................................................ 15 Relocation and code modification .................................................... 17 Compiler Drivers .................................................................................