Chapter 1 the Context of Software Development
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COM 113 INTRO to COMPUTER PROGRAMMING Theory Book
1 [Type the document title] UNESCO -NIGERIA TECHNICAL & VOCATIONAL EDUCATION REVITALISATION PROJECT -PHASE II NATIONAL DIPLOMA IN COMPUTER TECHNOLOGY Computer Programming COURSE CODE: COM113 YEAR I - SE MESTER I THEORY Version 1: December 2008 2 [Type the document title] Table of Contents WEEK 1 Concept of programming ................................................................................................................ 6 Features of a good computer program ............................................................................................ 7 System Development Cycle ............................................................................................................ 9 WEEK 2 Concept of Algorithm ................................................................................................................... 11 Features of an Algorithm .............................................................................................................. 11 Methods of Representing Algorithm ............................................................................................ 11 Pseudo code .................................................................................................................................. 12 WEEK 3 English-like form .......................................................................................................................... 15 Flowchart ..................................................................................................................................... -
Software Development Career Pathway
Career Exploration Guide Software Development Career Pathway Information Technology Career Cluster For more information about NYC Career and Technical Education, visit: www.cte.nyc Summer 2018 Getting Started What is software? What Types of Software Can You Develop? Computers and other smart devices are made up of Software includes operating systems—like Windows, Web applications are websites that allow users to contact management system, and PeopleSoft, a hardware and software. Hardware includes all of the Apple, and Google Android—and the applications check email, share documents, and shop online, human resources information system. physical parts of a device, like the power supply, that run on them— like word processors and games. among other things. Users access them with a Mobile applications are programs that can be data storage, and microprocessors. Software contains Software applications can be run directly from a connection to the Internet through a web browser accessed directly through mobile devices like smart instructions that are stored and run by the hardware. device or through a connection to the Internet. like Firefox, Chrome, or Safari. Web browsers are phones and tablets. Many mobile applications have Other names for software are programs or applications. the platforms people use to find, retrieve, and web-based counterparts. display information online. Web browsers are applications too. Desktop applications are programs that are stored on and accessed from a computer or laptop, like Enterprise software are off-the-shelf applications What is Software Development? word processors and spreadsheets. that are customized to the needs of businesses. Popular examples include Salesforce, a customer Software development is the design and creation of Quality Testers test the application to make sure software and is usually done by a team of people. -
Object Oriented Programming
No. 52 March-A pril'1990 $3.95 T H E M TEe H CAL J 0 URN A L COPIA Object Oriented Programming First it was BASIC, then it was structures, now it's objects. C++ afi<;ionados feel, of course, that objects are so powerful, so encompassing that anything could be so defined. I hope they're not placing bets, because if they are, money's no object. C++ 2.0 page 8 An objective view of the newest C++. Training A Neural Network Now that you have a neural network what do you do with it? Part two of a fascinating series. Debugging C page 21 Pointers Using MEM Keep C fro111 (C)rashing your system. An AT Keyboard Interface Use an AT keyboard with your latest project. And More ... Understanding Logic Families EPROM Programming Speeding Up Your AT Keyboard ((CHAOS MADE TO ORDER~ Explore the Magnificent and Infinite World of Fractals with FRAC LS™ AN ELECTRONIC KALEIDOSCOPE OF NATURES GEOMETRYTM With FracTools, you can modify and play with any of the included images, or easily create new ones by marking a region in an existing image or entering the coordinates directly. Filter out areas of the display, change colors in any area, and animate the fractal to create gorgeous and mesmerizing images. Special effects include Strobe, Kaleidoscope, Stained Glass, Horizontal, Vertical and Diagonal Panning, and Mouse Movies. The most spectacular application is the creation of self-running Slide Shows. Include any PCX file from any of the popular "paint" programs. FracTools also includes a Slide Show Programming Language, to bring a higher degree of control to your shows. -
Universidade Salvador – Unifacs Programa De Pós-Graduação Em Redes De Computadores Mestrado Profissional Em Redes De Computadores
UNIVERSIDADE SALVADOR – UNIFACS PROGRAMA DE PÓS-GRADUAÇÃO EM REDES DE COMPUTADORES MESTRADO PROFISSIONAL EM REDES DE COMPUTADORES DEMIAN LESSA INTERFACES GRÁFICAS COM O USUÁRIO: UMA ABORDAGEM BASEADA EM PADRÕES Salvador 2005 DEMIAN LESSA INTERFACES GRÁFICAS COM O USUÁRIO: UMA ABORDAGEM BASEADA EM PADRÕES Dissertação apresentada ao Mestrado Profissional em Redes de Computadores da Universidade Salvador – UNIFACS, como requisito parcial para obtenção do grau de Mestre. Orientador: Prof. Dr. Manoel Gomes de Mendonça. Salvador 2005 Lessa, Demian Interfaces gráficas com o usuário: uma abordagem baseada em padrões / Demian Lessa. – Salvador, 2005. 202 f.: il. Dissertação apresentada ao Mestrado Profissional em Redes de Computadores da Universidade Salvador – UNIFACS, como requisito parcial para a obtenção do grau de Mestre. Orientador: Prof. Dr. Manoel Gomes de Mendonça. 1. Interfaces gráficas para usuário - Sistema de computador. I. Mendonça, Manoel Gomes de, orient. II. Título. TERMO DE APROVAÇÃO DEMIAN LESSA INTERFACES GRÁFICAS COM O USUÁRIO: UMA ABORDAGEM BASEADA EM PADRÕES Dissertação aprovada como requisito parcial para obtenção do grau de Mestre em em Redes de Computadores da Universidade Salvador – UNIFACS, pela seguinte banca examinadora: Manoel Gomes de Mendonça – Orientador _________________________________ Doutor em Ciência da Computação pela Universidade de Maryland em College Park, Estados Unidos Universidade Salvador - UNIFACS Celso Alberto Saibel Santos ____________________________________________ Doutor em Informatique Fondamentalle et Parallelisme pelo Université Paul Sabatier de Toulouse III, França Universidade Federal da Bahia – UFBA Flávio Morais de Assis Silva _____________________________________________ Doutor em Informática pelo Technische Universität Berlin, Alemanha Universidade Federal da Bahia – UFBA Salvador de de 2005 A meus pais, Luiz e Ines, pelo constante incentivo intelectual e, muito especialmente, por todo amor e carinho repetidamente demonstrados. -
CSCE A201 Computer Programming I Lab 0
CSCE A201 Computer Programming I Lab 0 Lecture Instructors: Dr. Kenrick Mock, MW 11:30‐12:45pm Dr. Frank Witmer, TR 10‐11:15am Lab Assistants: Deanna Flynn Elisha Waugh Goals for Today • Introduce lab assistants • Meet some of your classmates • Introduction to Dr. Java • Understand platform independence • Write your first (!?) Java program Syllabus Highlights wrt. Lab • May students collaborate on lab assignments? • May students collaborate on programming assignments? • What percentage of the total course grade is determined by lab? • How is the lab grade determined? Introduce your Neighbor 1. Name 2. Hometown 3. Something interesting (e.g. hobby or recent trip) Some Java Development Environments • Dr. Java – from Rice University, simple & effective – standalone executable (installation instructions on Blackboard) • jGRASP – NSF funded at Auburn University • Intellij IDEA – good code completion & error messages – https://www.jetbrains.com/idea/ • NetBeans – from Oracle, good for multiple, larger projects • Eclipse – more plug‐ins, more customizable – good for Android development) • TextPad (initially free, but then ~$30) • Any text editor & command line – Notepad++ with Cygwin/DOS – emacs, vim, nano with unix/linux • See also Appendix 1 in Savitch book Java Example • Class Hello must be stored in file Hello.java public class Hello { public static void main(String[] args) { System.out.println("Hello world."); } } Platform Independence Demo • Compile java & C++ programs on linux – Which executable/bytecode will run on a Windows machine? Platform Independence • Use ‘javac’ command to compile Java source code .java files high‐level language • Use ‘java’ command to run Java bytecode .class and .jar (Java Archive) files low‐level language Same bytecodes can run any platform with an appropriate JVM (‘java’) Lab 0 Exercise 1. -
2015 State of the Software Supply Chain Report: HIDDEN SPEED BUMPS on the ROAD to “CONTINUOUS”
2015 State of the Software Supply Chain Report: HIDDEN SPEED BUMPS ON THE ROAD TO “CONTINUOUS” Foreword by Gene Kim, Gareth Rushgrove, John Willis, Jez Humble, and Nigel Simpson RESEARCH REPORT TABLE OF CONTENTS Foreword . 3 Introduction . 5 Why All Modern Software Development Relies on a Software Supply Chain . 6 SUPPLIERS: Open Source Projects . 7 Public Repositories (The Warehouses) . 8 Choosing the Best Suppliers (Sourcing) . .. 9 PARTS: Open Source Components . 12 Repository Management (Local Warehouses) . 15 MANUFACTURERS: Assembled Software Development . 19 Technical Debt: Assembly Line Inefficiencies . .. 21 FINISHED GOODS: Software Applications . 22 The Volume of Elective Re-work and Risk . 22 Software Bill of Materials . 23 Quality Controls: OWASP, PCI, FS-ISAC, U .S . Congress . 23 Lessons Learned from Traditional Manufacturing Supply Chains . 25 Automation: How To Improve Software Supply Chains . 26 Appendix . 28 Figure 1: The Volume and Size of the Global Software Supply Chain Figure 2: Target Benchmarks for Software Supply Chain Practices - Quality Control Figure 3: Target Benchmarks for Software Supply Chain Practices - Efficient Distribution Figure 4: Analysis of Components Used within Applications Figure 5: Multiple Versions of Parts Often Downloaded by the Largest Development Teams Figure 6: Volume of Defective Parts Used Figure 7: Comparison of Impact of Supply Chain Complexity on Prius versus Volt Figure 8: Efficient Sourcing Practices By Manufacturers 2015 State of the Software Supply Chain Report: Hidden Speed Bumps on the Road to “Continuous” Page 2 FOREWORD Gene Kim, Co-author of “The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win” and upcoming “DevOps Cookbook” “Anyone who believes, as I do, that we can learn valuable lessons from manufacturing and supply chains on how to better manage technology work will love this report . -
Defining Computer Program Parts Under Learned Hand's Abstractions Test in Software Copyright Infringement Cases
Michigan Law Review Volume 91 Issue 3 1992 Defining Computer Program Parts Under Learned Hand's Abstractions Test in Software Copyright Infringement Cases John W.L. Ogilive University of Michigan Law School Follow this and additional works at: https://repository.law.umich.edu/mlr Part of the Computer Law Commons, Intellectual Property Law Commons, and the Judges Commons Recommended Citation John W. Ogilive, Defining Computer Program Parts Under Learned Hand's Abstractions Test in Software Copyright Infringement Cases, 91 MICH. L. REV. 526 (1992). Available at: https://repository.law.umich.edu/mlr/vol91/iss3/5 This Note is brought to you for free and open access by the Michigan Law Review at University of Michigan Law School Scholarship Repository. It has been accepted for inclusion in Michigan Law Review by an authorized editor of University of Michigan Law School Scholarship Repository. For more information, please contact [email protected]. NOTE Defining Computer Program Parts Under Learned Hand's Abstractions Test in Software Copyright Infringement Cases John W.L. Ogilvie INTRODUCTION Although computer programs enjoy copyright protection as pro tectable "literary works" under the federal copyright statute, 1 the case law governing software infringement is confused, inconsistent, and even unintelligible to those who must interpret it.2 A computer pro gram is often viewed as a collection of different parts, just as a book or play is seen as an amalgamation of plot, characters, and other familiar parts. However, different courts recognize vastly different computer program parts for copyright infringement purposes. 3 Much of the dis array in software copyright law stems from mutually incompatible and conclusory program part definitions that bear no relation to how a computer program is actually designed and created. -
Java Ide's One-On-One*
DR. J VS. THE BIRD: JAVA IDE'S ONE-ON-ONE* Michael Olan Computer Science and Information Systems Richard Stockton College Pomona, NJ 08240 609-652-4587 [email protected] ABSTRACT An important decision facing instructors of introductory programming courses is the choice of supporting software development tools. Usually this involves selecting an integrated development environment (IDE). BlueJ has received widespread adoption for first year courses that use the Java programming language; however, DrJava is emerging as an alternative. This paper features a comparison of the pedagogical approaches used by BlueJ and DrJava as a guideline for selecting the tool best suited to the teaching style used in the introductory course. 1. INTRODUCTION The choice was simple when text editors and the command line were the only tools for developing programs. That changed with the introduction of integrated development environments (IDE's), and campuses nationwide adopted Borland's Turbo Pascal. Languages also have changed. Pascal was designed as a teaching language, but now academic programs use advanced languages designed for professional software engineers. Making these complex languages accessible to beginning students requires a careful selection of the development environment. This discussion will only include Java, currently the dominant language choice for introductory courses. Let us first consider several levels of tool support in the introductory course sequence: 1) Minimal: A text editor and the command line. 2) Simple IDE: Just the basics, no bells and whistles. 3) Professional IDE: Powerful and feature filled. ___________________________________________ * Copyright © 2004 by the Consortium for Computing Sciences in Colleges. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the CCSC copyright notice and the title of the publication and its date appear, and notice is given that copying is by permission of the Consortium for Computing Sciences in Colleges. -
The Impact of Different Teaching Approaches and Languages On
The Impact of Different Teaching Approaches and Languages on Student Learning of Introductory Programming Concepts A Thesis Submitted to the Faculty of Drexel University by Wanda M. Kunkle in partial fulfillment of the requirements for the degree of Doctor of Philosophy September 2010 Copyright 2010 Wanda M. Kunkle. All Rights Reserved. ii DEDICATIONS I dedicate this dissertation to the memory of Nathan J. Kunkle the loving father who encouraged me to become the person I was meant to be and the highly respected educator who inspired me to follow in his footsteps. Nathan J. Kunkle (1907 – 1965) iii ACKNOWLEDGEMENTS I wish to thank my advisor, Robert Allen, and the members of my dissertation committee for their support and guidance in doing the research and writing required to complete this work. I also wish to thank the Computer Science instructors who helped me recruit the students who participated in my research study, as well as the students themselves. Without the students, there would have been no study. I especially wish to thank the friends and family who encouraged me to keep going when I began to falter because I was feeling overwhelmed by the amount of time and effort I needed to put in to complete this dissertation. Some of those friends are on my dissertation committee, so they are getting thanked twice. Finally, a special thanks goes out to my cousin, Durand Kunkle, who regularly called to ask how I was progressing with my dissertation. He has been planning the celebration for some time now. iv TABLE OF CONTENTS LIST OF FIGURES -
College of Fine and Applied Arts Annual Meeting 5:00P.M.; Tuesday, April 5, 2011 Temple Buell Architecture Gallery, Architecture Building
COLLEGE OF FINE AND APPLIED ARTS ANNUAL MEETING 5:00P.M.; TUESDAY, APRIL 5, 2011 TEMPLE BUELL ARCHITECTURE GALLERY, ARCHITECTURE BUILDING AGENDA 1. Welcome: Robert Graves, Dean 2. Approval of April 5, 2010 draft Annual Meeting Minutes (ATTACHMENT A) 3. Administrative Reports and Dean’s Report 4. Action Items – need motion to approve (ATTACHMENT B) Nominations for Standing Committees a. Courses and Curricula b. Elections and Credentials c. Library 5. Unit Reports 6. Academic Professional Award for Excellence and Faculty Awards for Excellence (ATTACHMENT C) 7. College Summary Data (Available on FAA Web site after meeting) a. Sabbatical Requests (ATTACHMENT D) b. Dean’s Special Grant Awards (ATTACHMENT E) c. Creative Research Awards (ATTACHMENT F) d. Student Scholarships/Enrollment (ATTACHMENT G) e. Kate Neal Kinley Memorial Fellowship (ATTACHMENT H) f. Retirements (ATTACHMENT I) g. Notable Achievements (ATTACHMENT J) h. College Committee Reports (ATTACHMENT K) 8. Other Business and Open Discussion 9. Adjournment Please join your colleagues for refreshments and conversation after the meeting in the Temple Buell Architecture Gallery, Architecture Building ATTACHMENT A ANNUAL MEETING MINUTES COLLEGE OF FINE AND APPLIED ARTS 5:00P.M.; MONDAY, APRIL 5, 2010 FESTIVAL FOYER, KRANNERT CENTER FOR THE PERFORMING ARTS 1. Welcome: Robert Graves, Dean Dean Robert Graves described the difficulties that the College faced in AY 2009-2010. Even during the past five years, when the economy was in better shape than it is now, it had become increasingly clear that the College did not have funds or personnel sufficient to accomplish comfortably all the activities it currently undertakes. In view of these challenges, the College leadership began a process of re- examination in an effort to find economies of scale, explore new collaborations, and spur creative thinking and cooperation. -
Language Translators
Student Notes Theory LANGUAGE TRANSLATORS A. HIGH AND LOW LEVEL LANGUAGES Programming languages Low – Level Languages High-Level Languages Example: Assembly Language Example: Pascal, Basic, Java Characteristics of LOW Level Languages: They are machine oriented : an assembly language program written for one machine will not work on any other type of machine unless they happen to use the same processor chip. Each assembly language statement generally translates into one machine code instruction, therefore the program becomes long and time-consuming to create. Example: 10100101 01110001 LDA &71 01101001 00000001 ADD #&01 10000101 01110001 STA &71 Characteristics of HIGH Level Languages: They are not machine oriented: in theory they are portable , meaning that a program written for one machine will run on any other machine for which the appropriate compiler or interpreter is available. They are problem oriented: most high level languages have structures and facilities appropriate to a particular use or type of problem. For example, FORTRAN was developed for use in solving mathematical problems. Some languages, such as PASCAL were developed as general-purpose languages. Statements in high-level languages usually resemble English sentences or mathematical expressions and these languages tend to be easier to learn and understand than assembly language. Each statement in a high level language will be translated into several machine code instructions. Example: number:= number + 1; 10100101 01110001 01101001 00000001 10000101 01110001 B. GENERATIONS OF PROGRAMMING LANGUAGES 4th generation 4GLs 3rd generation High Level Languages 2nd generation Low-level Languages 1st generation Machine Code Page 1 of 5 K Aquilina Student Notes Theory 1. MACHINE LANGUAGE – 1ST GENERATION In the early days of computer programming all programs had to be written in machine code. -
13. Stored-Program Computers
13. Stored-Program Computers 13.1 Introduction This chapter concentrates on the low-level usage and structure of stored program computers. We focus on a particular hypothetical machine known as the ISC, describing its programming in assembly language. We show how recursion and switch statements are compiled into machine language, and how memory-mapped overlapped I/O is achieved. We also show the logic implement of the ISC, in terms of registers, buses, and finite-state machine controllers. 13.2 Programmer's Abstraction for a Stored-Program Computer By stored-program computer, we mean a machine in which the program, as well as the data, are stored in memory, each word of which can be accessed in uniform time. Most of the high-level language programming the reader has done will likely have used this kind of computer implicitly. However, the program that is stored is not high-level language text. If it were, then it would be necessary to constantly parse this text, which would slow down execution immensely. Instead one of two other forms of storage is used: An abstract syntax representation of the program could be stored. The identifiers in this representation are pre-translated, and the structure is traversed dynamically as needed during execution. This is the approach used by an interpreter for the language. A second approach is to use a compiler for the language. The compiler translates the program into the very low-level language native to the machine, appropriately called machine language. The native machine language acts as a least-common-denominator language for the computer.