Simula: Mother Tongue for a Generation of Nordic Programmers Yngve Sundblad
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Edsger Dijkstra: the Man Who Carried Computer Science on His Shoulders
INFERENCE / Vol. 5, No. 3 Edsger Dijkstra The Man Who Carried Computer Science on His Shoulders Krzysztof Apt s it turned out, the train I had taken from dsger dijkstra was born in Rotterdam in 1930. Nijmegen to Eindhoven arrived late. To make He described his father, at one time the president matters worse, I was then unable to find the right of the Dutch Chemical Society, as “an excellent Aoffice in the university building. When I eventually arrived Echemist,” and his mother as “a brilliant mathematician for my appointment, I was more than half an hour behind who had no job.”1 In 1948, Dijkstra achieved remarkable schedule. The professor completely ignored my profuse results when he completed secondary school at the famous apologies and proceeded to take a full hour for the meet- Erasmiaans Gymnasium in Rotterdam. His school diploma ing. It was the first time I met Edsger Wybe Dijkstra. shows that he earned the highest possible grade in no less At the time of our meeting in 1975, Dijkstra was 45 than six out of thirteen subjects. He then enrolled at the years old. The most prestigious award in computer sci- University of Leiden to study physics. ence, the ACM Turing Award, had been conferred on In September 1951, Dijkstra’s father suggested he attend him three years earlier. Almost twenty years his junior, I a three-week course on programming in Cambridge. It knew very little about the field—I had only learned what turned out to be an idea with far-reaching consequences. a flowchart was a couple of weeks earlier. -
The Role of “Roles” in Use Case Diagrams
Lecture Notes in Computer Science 1 The Role of “Roles” in Use Case Diagrams Alain Wegmann1, Guy Genilloud1 1 Institute for computer Communication and Application (ICA) Swiss Federal Institute of Technology (EPFL) CH-1015 Lausanne, Switzerland icawww.epfl.ch {alain.wegmann, guy.genilloud}@epfl.ch Abstract: Use cases are the modeling technique of UML for formalizing the functional requirements placed on systems. This technique has limitations in modeling the context of a system, in relating systems involved in a same busi- ness process, in reusing use cases, and in specifying various constraints such as execution constraints between use case occurrences. These limitations can be overcome to some extent by the realization of multiple diagrams of various types, but with unclear relationships between them. Thus, the specification ac- tivity becomes complex and error prone. In this paper, we show how to over- come the limitations of use cases by making the roles of actors explicit. Interest- ingly, our contributions not only make UML a more expressive specification language, they also make it simpler to use and more consistent. 1 Introduction The Unified Modeling Language (UML), standardized by the Object Management Group (OMG) in 1996, aims at integrating the concepts and notations used in the most important software engineering methods. UML is today widely used by the software development community at large. While the bulk of the integration of the concepts is completed, there are still improvements to be made in their consistency. Such im- provements could increase the expressive power of UML while reducing its complex- ity. System design frequently starts with business modeling, i.e. -
Object-Oriented Programming Basics with Java
Object-Oriented Programming Object-Oriented Programming Basics With Java In his keynote address to the 11th World Computer Congress in 1989, renowned computer scientist Donald Knuth said that one of the most important lessons he had learned from his years of experience is that software is hard to write! Computer scientists have struggled for decades to design new languages and techniques for writing software. Unfortunately, experience has shown that writing large systems is virtually impossible. Small programs seem to be no problem, but scaling to large systems with large programming teams can result in $100M projects that never work and are thrown out. The only solution seems to lie in writing small software units that communicate via well-defined interfaces and protocols like computer chips. The units must be small enough that one developer can understand them entirely and, perhaps most importantly, the units must be protected from interference by other units so that programmers can code the units in isolation. The object-oriented paradigm fits these guidelines as designers represent complete concepts or real world entities as objects with approved interfaces for use by other objects. Like the outer membrane of a biological cell, the interface hides the internal implementation of the object, thus, isolating the code from interference by other objects. For many tasks, object-oriented programming has proven to be a very successful paradigm. Interestingly, the first object-oriented language (called Simula, which had even more features than C++) was designed in the 1960's, but object-oriented programming has only come into fashion in the 1990's. -
Verifiable Semantic Difference Languages
Verifiable Semantic Difference Languages Thibaut Girka David Mentré Yann Régis-Gianas Mitsubishi Electric R&D Centre Mitsubishi Electric R&D Centre Univ Paris Diderot, Sorbonne Paris Europe Europe Cité, IRIF/PPS, UMR 8243 CNRS, PiR2, Rennes, France Rennes, France INRIA Paris-Rocquencourt Paris, France ABSTRACT 1 INTRODUCTION Program differences are usually represented as textual differences Let x be a strictly positive natural number. Consider the following on source code with no regard to its syntax or its semantics. In two (almost identical) imperative programs: this paper, we introduce semantic-aware difference languages. A difference denotes a relation between program reduction traces. A s = 0 ; 1 s = 0 ; 1 difference language for the toy imperative programming language d = x ; 2 d = x − 1 ; 2 while (d>0) { 3 while (d>0) { 3 Imp is given as an illustration. i f (x%d== 0) 4 i f (x%d== 0) 4 To certify software evolutions, we want to mechanically verify s = s + d ; 5 s = s + d ; 5 − − that a difference correctly relates two given programs. Product pro- d = d 1 ; 6 d = d 1 ; 6 } 7 } 7 grams and correlating programs are effective proof techniques for s = s − x 8 8 relational reasoning. A product program simulates, in the same programming language as the compared programs, a well-chosen The program P1 (on the left) stores in s the sum of the proper interleaving of their executions to highlight a specific relation be- divisors of the integer x. To that end, it iterates over the integers tween their reduction traces. While this approach enables the use from x to 1 using the variable d and accumulates in the variable s of readily-available static analysis tools on the product program, it the values of d that divide x. -
Simula Mother Tongue for a Generation of Nordic Programmers
Simula! Mother Tongue! for a Generation of! Nordic Programmers! Yngve Sundblad HCI, CSC, KTH! ! KTH - CSC (School of Computer Science and Communication) Yngve Sundblad – Simula OctoberYngve 2010Sundblad! Inspired by Ole-Johan Dahl, 1931-2002, and Kristen Nygaard, 1926-2002" “From the cold waters of Norway comes Object-Oriented Programming” " (first line in Bertrand Meyer#s widely used text book Object Oriented Software Construction) ! ! KTH - CSC (School of Computer Science and Communication) Yngve Sundblad – Simula OctoberYngve 2010Sundblad! Simula concepts 1967" •# Class of similar Objects (in Simula declaration of CLASS with data and actions)! •# Objects created as Instances of a Class (in Simula NEW object of class)! •# Data attributes of a class (in Simula type declared as parameters or internal)! •# Method attributes are patterns of action (PROCEDURE)! •# Message passing, calls of methods (in Simula dot-notation)! •# Subclasses that inherit from superclasses! •# Polymorphism with several subclasses to a superclass! •# Co-routines (in Simula Detach – Resume)! •# Encapsulation of data supporting abstractions! ! KTH - CSC (School of Computer Science and Communication) Yngve Sundblad – Simula OctoberYngve 2010Sundblad! Simula example BEGIN! REF(taxi) t;" CLASS taxi(n); INTEGER n;! BEGIN ! INTEGER pax;" PROCEDURE book;" IF pax<n THEN pax:=pax+1;! pax:=n;" END of taxi;! t:-NEW taxi(5);" t.book; t.book;" print(t.pax)" END! Output: 7 ! ! KTH - CSC (School of Computer Science and Communication) Yngve Sundblad – Simula OctoberYngve 2010Sundblad! -
Submission Data for 2020-2021 CORE Conference Ranking Process International Symposium on Formal Methods (Was Formal Methods Europe FME)
Submission Data for 2020-2021 CORE conference Ranking process International Symposium on Formal Methods (was Formal Methods Europe FME) Ana Cavalcanti, Stefania Gnesi, Lars-Henrik Eriksson, Nico Plat, Einar Broch Johnsen, Maurice ter Beek Conference Details Conference Title: International Symposium on Formal Methods (was Formal Methods Europe FME) Acronym : FM Rank: A Data and Metrics Google Scholar Metrics sub-category url: https://scholar.google.com.au/citations?view_op=top_venues&hl=en&vq=eng_theoreticalcomputerscienceposition in sub-category: 20+Image of top 20: ACM Metrics Not Sponsored by ACM Aminer Rank 1 Aminer Rank: 28Name in Aminer: World Congress on Formal MethodsAcronym or Shorthand: FMh-5 Index: 17CCF: BTHU: âĂŞ Top Aminer Cites: http://portal.core.edu.au/core/media/conf_submissions_citations/extra_info1804_aminer_top_cite.png Other Rankings Not aware of any other Rankings Conferences in area: 1. Formal Methods Symposium (FM) 2. Software Engineering and Formal Methods (SEFM), Integrated Formal Methods (IFM) 3. Fundamental Approaches to Software Engineering (FASE), NASA Formal Methods (NFM), Runtime Verification (RV) 4. Formal Aspects of Component Software (FACS), Automated Technology for Verification and Analysis (ATVA) 5. International Conference on Formal Engineering Methods (ICFEM), FormaliSE, Formal Methods in Computer-Aided Design (FMCAD), Formal Methods for Industrial Critical Systems (FMICS) 6. Brazilian Symposium on Formal Methods (SBMF), Theoretical Aspects of Software Engineering (TASE) 7. International Symposium On Leveraging Applications of Formal Methods, Verification and Validation (ISoLA) Top People Publishing Here name: Frank de Boer justification: h-index: 42 ( https://www.cwi.nl/people/frank-de-boer) Frank S. de Boer is senior researcher at the CWI, where he leads the research group on Formal Methods, and Professor of Software Correctness at Leiden University, The Netherlands. -
APPLYING MODEL-VIEW-CONTROLLER (MVC) in DESIGN and DEVELOPMENT of INFORMATION SYSTEMS an Example of Smart Assistive Script Breakdown in an E-Business Application
APPLYING MODEL-VIEW-CONTROLLER (MVC) IN DESIGN AND DEVELOPMENT OF INFORMATION SYSTEMS An Example of Smart Assistive Script Breakdown in an e-Business Application Andreas Holzinger, Karl Heinz Struggl Institute of Information Systems and Computer Media (IICM), TU Graz, Graz, Austria Matjaž Debevc Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia Keywords: Information Systems, Software Design Patterns, Model-view-controller (MVC), Script Breakdown, Film Production. Abstract: Information systems are supporting professionals in all areas of e-Business. In this paper we concentrate on our experiences in the design and development of information systems for the use in film production processes. Professionals working in this area are neither computer experts, nor interested in spending much time for information systems. Consequently, to provide a useful, useable and enjoyable application the system must be extremely suited to the requirements and demands of those professionals. One of the most important tasks at the beginning of a film production is to break down the movie script into its elements and aspects, and create a solid estimate of production costs based on the resulting breakdown data. Several film production software applications provide interfaces to support this task. However, most attempts suffer from numerous usability deficiencies. As a result, many film producers still use script printouts and textmarkers to highlight script elements, and transfer the data manually into their film management software. This paper presents a novel approach for unobtrusive and efficient script breakdown using a new way of breaking down text into its relevant elements. We demonstrate how the implementation of this interface benefits from employing the Model-View-Controller (MVC) as underlying software design paradigm in terms of both software development confidence and user satisfaction. -
An Introduction to Programming in Simula
An Introduction to Programming in Simula Rob Pooley This document, including all parts below hyperlinked directly to it, is copyright Rob Pooley ([email protected]). You are free to use it for your own non-commercial purposes, but may not copy it or reproduce all or part of it without including this paragraph. If you wish to use it for gain in any manner, you should contact Rob Pooley for terms appropriate to that use. Teachers in publicly funded schools, universities and colleges are free to use it in their normal teaching. Anyone, including vendors of commercial products, may include links to it in any documentation they distribute, so long as the link is to this page, not any sub-part. This is an .pdf version of the book originally published by Blackwell Scientific Publications. The copyright of that book also belongs to Rob Pooley. REMARK: This document is reassembled from the HTML version found on the web: https://web.archive.org/web/20040919031218/http://www.macs.hw.ac.uk/~rjp/bookhtml/ Oslo 20. March 2018 Øystein Myhre Andersen Table of Contents Chapter 1 - Begin at the beginning Basics Chapter 2 - And end at the end Syntax and semantics of basic elements Chapter 3 - Type cast actors Basic arithmetic and other simple types Chapter 4 - If only Conditional statements Chapter 5 - Would you mind repeating that? Texts and while loops Chapter 6 - Correct Procedures Building blocks Chapter 7 - File FOR future reference Simple input and output using InFile, OutFile and PrintFile Chapter 8 - Item by Item Item oriented reading and writing and for loops Chapter 9 - Classes as Records Chapter 10 - Make me a list Lists 1 - Arrays and simple linked lists Reference comparison Chapter 11 - Like parent like child Sub-classes and complex Boolean expressions Chapter 12 - A Language with Character Character handling, switches and jumps Chapter 13 - Let Us See what We Can See Inspection and Remote Accessing Chapter 14 - Side by Side Coroutines Chapter 15 - File For Immediate Use Direct and Byte Files Chapter 16 - With All My Worldly Goods.. -
The Standard Model for Programming Languages: the Birth of A
The Standard Model for Programming Languages: The Birth of a Mathematical Theory of Computation Simone Martini Department of Computer Science and Engineering, University of Bologna, Italy INRIA, Sophia-Antipolis, Valbonne, France http://www.cs.unibo.it/~martini [email protected] Abstract Despite the insight of some of the pioneers (Turing, von Neumann, Curry, Böhm), programming the early computers was a matter of fiddling with small architecture-dependent details. Only in the sixties some form of “mathematical program development” will be in the agenda of some of the most influential players of that time. A “Mathematical Theory of Computation” is the name chosen by John McCarthy for his approach, which uses a class of recursively computable functions as an (extensional) model of a class of programs. It is the beginning of that grand endeavour to present programming as a mathematical activity, and reasoning on programs as a form of mathematical logic. An important part of this process is the standard model of programming languages – the informal assumption that the meaning of programs should be understood on an abstract machine with unbounded resources, and with true arithmetic. We present some crucial moments of this story, concluding with the emergence, in the seventies, of the need of more “intensional” semantics, like the sequential algorithms on concrete data structures. The paper is a small step of a larger project – reflecting and tracing the interaction between mathematical logic and programming (languages), identifying some -
Compsci 6 Programming Design and Analysis
CompSci 6 Programming Design and Analysis Robert C. Duvall http://www.cs.duke.edu/courses/cps006/fall04 http://www.cs.duke.edu/~rcd CompSci 6 : Spring 2005 1.1 What is Computer Science? Computer science is no more about computers than astronomy is about telescopes. Edsger Dijkstra Computer science is not as old as physics; it lags by a couple of hundred years. However, this does not mean that there is significantly less on the computer scientist's plate than on the physicist's: younger it may be, but it has had a far more intense upbringing! Richard Feynman http://www.wordiq.com CompSci 6 : Spring 2005 1.2 Scientists and Engineers Scientists build to learn, engineers learn to build – Fred Brooks CompSci 6 : Spring 2005 1.3 Computer Science and Programming Computer Science is more than programming The discipline is called informatics in many countries Elements of both science and engineering Elements of mathematics, physics, cognitive science, music, art, and many other fields Computer Science is a young discipline Fiftieth anniversary in 1997, but closer to forty years of research and development First graduate program at CMU (then Carnegie Tech) in 1965 To some programming is an art, to others a science, to others an engineering discipline CompSci 6 : Spring 2005 1.4 What is Computer Science? What is it that distinguishes it from the separate subjects with which it is related? What is the linking thread which gathers these disparate branches into a single discipline? My answer to these questions is simple --- it is the art of programming a computer. -
Numerical Models Show Coral Reefs Can Be Self -Seeding
MARINE ECOLOGY PROGRESS SERIES Vol. 74: 1-11, 1991 Published July 18 Mar. Ecol. Prog. Ser. Numerical models show coral reefs can be self -seeding ' Victorian Institute of Marine Sciences, 14 Parliament Place, Melbourne, Victoria 3002, Australia Australian Institute of Marine Science, PMB No. 3, Townsville MC, Queensland 4810, Australia ABSTRACT: Numerical models are used to simulate 3-dimensional circulation and dispersal of material, such as larvae of marine organisms, on Davies Reef in the central section of Australia's Great Barner Reef. Residence times on and around this reef are determined for well-mixed material and for material which resides at the surface, sea bed and at mid-depth. Results indcate order-of-magnitude differences in the residence times of material at different levels in the water column. They confirm prevlous 2- dimensional modelling which indicated that residence times are often comparable to the duration of the planktonic larval life of many coral reef species. Results reveal a potential for the ma~ntenanceof local populations of vaiious coral reef organisms by self-seeding, and allow reinterpretation of the connected- ness of the coral reef ecosystem. INTRODUCTION persal of particles on reefs. They can be summarised as follows. Hydrodynamic experiments of limited duration Circulation around the reefs is typified by a complex (Ludington 1981, Wolanski & Pickard 1983, Andrews et pattern of phase eddies (Black & Gay 1987a, 1990a). al. 1984) have suggested that flushing times on indi- These eddies and other components of the currents vidual reefs of Australia's Great Barrier Reef (GBR) are interact with the reef bathymetry to create a high level relatively short in comparison with the larval life of of horizontal mixing on and around the reefs (Black many different coral reef species (Yamaguchi 1973, 1988). -
Software Architecture Bertrand Meyer Lecture 7: Patterns, Observer, MVC
References Last update: 18 April 2007 Erich Gamma, Ralph Johnson, Richard Helms, John Software Architecture Vlissides: Design Patterns, Addison-Wesley, 1994 Bertrand Meyer Jean-Marc Jezequel, Michel Train, Christine Mingins: Design Patterns and Contracts, Addison-Wesley, 1999 ETH Zurich, March-July 2007 Karine Arnout: From Patterns to Components, 2004 ETH Lecture 7: Patterns, Observer, MVC thesis, http://se.inf.ethz.ch/people/arnout/patterns/ Patterns in software development Benefits of design patterns Design pattern: ¾ Capture the knowledge of experienced developers ¾ A document that describes a general solution to a ¾ Publicly available repository design problem that recurs in many applications. ¾ Common pattern language ¾ Newcomers can learn & apply patterns Developers adapt the pattern to their specific application. ¾ Yield better software structure ¾ Facilitate discussions: programmers, managers Some design patterns A pattern is not a reusable solution Creational Behavioral Solution to a particular recurring design issue in a ¾ Chain of Responsibility ¾ Abstract Factory particular context: ¾ Builder ¾ Command (undo/redo) ¾ Interpreter ¾ Factory Method ¾ “Each pattern describes a problem that occurs over ¾ Iterator ¾ Prototype and over again in our environment, and then describes ¾ Singleton ¾ Mediator ¾ Memento the core of the solution to this problem in such a way Structural ¾ Observer that you can use this solution a million times over, ¾ Adapter ¾ State without ever doing it the same way twice.” ¾ Bridge ¾ Strategy Gamma et al.