Software Quality / Modularity
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Object-Oriented Programming in Scheme with First-Class Modules
Ob jectOriented Programming in Scheme with FirstClass Mo dules and Op eratorBased Inheritance Guruduth Banavar Gary Lindstrom Department of Computer Science University of Utah Salt LakeCityUT Abstract Wecharacterize ob jectoriented programming as structuring and manipulating a uniform space of rstclass values representing modules a distillation of the notion of classes Op erators over mo dules individually achieve eects such as encapsulation sharing and static binding A variety of idioms of OO programming nd convenient expression within this mo del including several forms of single and multiple inheritance abstract classes class variables inheritance hierarchy combination and reection Weshow that this programming style simplies OO programming via enhanced uniformity and supp orts a exible mo del of ob jectorientation that provides an attractive alternative to metaprogramming Finallyweshow that these notions of OO programming are language indep endent by implementing a Mo dular Scheme prototyp e as a completion of a generic OO framework for mo dularity Pap er Category Research Topic Area Language design and implementation Intro duction Classbased ob jectoriented programming is usually thought of as creating a graph structured inher itance hierarchy of classes instantiating some of these classes and computing with these instances Instances are typically rstclass values in the language ie they can b e created stored accessed and passed into and out of functions Classes on the other hand are usually not rstclass values and inheritance is -
Declarative Immutability in Java
International Journal of Computer and Systems Engineering Volume 1 Issue 1 Article 4 July 2020 Declarative Immutability in Java John Crowley Boston College, University of Pennsylvania, [email protected] Follow this and additional works at: https://digitalcommons.fairfield.edu/ijcase Recommended Citation Crowley, John (2020) "Declarative Immutability in Java," International Journal of Computer and Systems Engineering: Vol. 1 : Iss. 1 , Article 4. Available at: https://digitalcommons.fairfield.edu/ijcase/vol1/iss1/4 This item has been accepted for inclusion in DigitalCommons@Fairfield by an authorized administrator of DigitalCommons@Fairfield. It is brought to you by DigitalCommons@Fairfield with permission from the rights- holder(s) and is protected by copyright and/or related rights. You are free to use this item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses, you need to obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/or on the work itself. For more information, please contact [email protected]. Declarative Immutability in Java Online at https://digitalcommons.fairfield.edu/ijcase/ Published by Fairfield University, DigitalCommons@Fairfield © 2020 Vol. 1, No. 1, 2020 Declarative Immutability in Java by John D. Crowley ABSTRACT A pervasive mechanism is proposed to declare that variables and object instances are mutable or immutable, and whether methods mutate instances. These declarations are integral to the type structure of the language and allow the developer to declare, and the reader (and compiler) to determine, if a variable or instance is immutable (even if other instances of the Class are mutable) or that an instance is immutable throughout the application (a Pure instance). -
Scala for the Impatient Second Edition This Page Intentionally Left Blank Scala for the Impatient Second Edition
Scala for the Impatient Second Edition This page intentionally left blank Scala for the Impatient Second Edition Cay S. Horstmann Boston • Columbus • Indianapolis • New York • San Francisco • Amsterdam • Cape Town Dubai • London • Madrid • Milan • Munich • Paris • Montreal • Toronto • Delhi • Mexico City São Paulo • Sydney • Hong Kong • Seoul • Singapore • Taipei • Tokyo Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and the publisher was aware of a trademark claim, the designations have been printed with initial capital letters or in all capitals. The author and publisher have taken care in the preparation of this book, but make no expressed or implied warranty of any kind and assume no responsibility for errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of the use of the information or programs contained herein. For information about buying this title in bulk quantities, or for special sales opportunities (which may include electronic versions; custom cover designs; and content particular to your business, training goals, marketing focus, or branding interests), please contact our corporate sales department at [email protected] or (800) 382–3419. For government sales inquiries, please contact [email protected]. For questions about sales outside the United States, please contact [email protected]. Visit us on the Web: informit.com/aw Library of Congress Control Number: 2016954825 Copyright © 2017 Pearson Education, Inc. All rights reserved. Printed in the United States of America. This publication is protected by copyright, and permission must be obtained from the publisher prior to any prohibited reproduction, storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. -
Modular Programming with Functions
CHAPTER 4 MODULAR PROGRAMMING WITH FUNCTIONS Copyright © 2013 Pearson Education, Inc. Modularity •A program may also contain other functions, and it may refer to functions in another file or in a library. These functions , or modules , are sets of statements that perform an operation or compute a value •To maintain simplicity and readability in long and complex programs, we use a short main, and other functions instead of using one long main function. •By separating a solution into a group of modules, each module is easier to understand, thus adhering to the basic guidelines of structured programming Copyright © 2013 Pearson Education, Inc. Modularity •Braking a problem into a set of modules has many advantages: 1. Every module can be written and tested separately from the rest of the program 2. A module is smaller than a complete program, so testing is easier 3. Once a module has been tested, it can be used in new program without having to retest it ( reusability ) 4. Use of modules ( modularity ) usually reduces the overall length of programs 5. Several programmers can work on the same project if it is separated into modules Copyright © 2013 Pearson Education, Inc. Modularity Main Modules Copyright © 2013 Pearson Education, Inc. Function Definition •A function consists of a definition statement followed by declarations and statements. The general form of a function is: return_type function_name(parameter_declarations) { declarations; statements; return expression; } •The parameter declarations represent the information passed to the function •Additional variables used by the function are defined in declarations statement •All functions should include a return statement Copyright © 2013 Pearson Education, Inc. -
Scope in Fortran 90
Scope in Fortran 90 The scope of objects (variables, named constants, subprograms) within a program is the portion of the program in which the object is visible (can be use and, if it is a variable, modified). It is important to understand the scope of objects not only so that we know where to define an object we wish to use, but also what portion of a program unit is effected when, for example, a variable is changed, and, what errors might occur when using identifiers declared in other program sections. Objects declared in a program unit (a main program section, module, or external subprogram) are visible throughout that program unit, including any internal subprograms it hosts. Such objects are said to be global. Objects are not visible between program units. This is illustrated in Figure 1. Figure 1: The figure shows three program units. Main program unit Main is a host to the internal function F1. The module program unit Mod is a host to internal function F2. The external subroutine Sub hosts internal function F3. Objects declared inside a program unit are global; they are visible anywhere in the program unit including in any internal subprograms that it hosts. Objects in one program unit are not visible in another program unit, for example variable X and function F3 are not visible to the module program unit Mod. Objects in the module Mod can be imported to the main program section via the USE statement, see later in this section. Data declared in an internal subprogram is only visible to that subprogram; i.e. -
A Parallel Program Execution Model Supporting Modular Software Construction
A Parallel Program Execution Model Supporting Modular Software Construction Jack B. Dennis Laboratory for Computer Science Massachusetts Institute of Technology Cambridge, MA 02139 U.S.A. [email protected] Abstract as a guide for computer system design—follows from basic requirements for supporting modular software construction. A watershed is near in the architecture of computer sys- The fundamental theme of this paper is: tems. There is overwhelming demand for systems that sup- port a universal format for computer programs and software The architecture of computer systems should components so users may benefit from their use on a wide reflect the requirements of the structure of pro- variety of computing platforms. At present this demand is grams. The programming interface provided being met by commodity microprocessors together with stan- should address software engineering issues, in dard operating system interfaces. However, current systems particular, the ability to practice the modular do not offer a standard API (application program interface) construction of software. for parallel programming, and the popular interfaces for parallel computing violate essential principles of modular The positions taken in this presentation are contrary to or component-based software construction. Moreover, mi- much conventional wisdom, so I have included a ques- croprocessor architecture is reaching the limit of what can tion/answer dialog at appropriate places to highlight points be done usefully within the framework of superscalar and of debate. We start with a discussion of the nature and VLIW processor models. The next step is to put several purpose of a program execution model. Our Parallelism processors (or the equivalent) on a single chip. -
The Pragmatic Programmer Your Journey to Mastery
Extracted from: The Pragmatic Programmer your journey to mastery 20th Anniversary Edition Boston • Columbus • New York • San Francisco • Amsterdam • Cape Town Dubai • London • Madrid • Milan • Munich • Paris • Montreal • Toronto • Delhi • Mexico City São Paulo • Sydney • Hong Kong • Seoul • Singapore • Taipei • Tokyo The Pragmatic Programmer your journey to mastery 20th Anniversary Edition Dave Thomas Andy Hunt Boston • Columbus • New York • San Francisco • Amsterdam • Cape Town Dubai • London • Madrid • Milan • Munich • Paris • Montreal • Toronto • Delhi • Mexico City São Paulo • Sydney • Hong Kong • Seoul • Singapore • Taipei • Tokyo Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and the publisher was aware of a trademark claim, the designations have been printed with initial capital letters or in all capitals. "The Pragmatic Programmer" and the linking g device are trademarks of The Pragmatic Programmers, LLC. The authors and publisher have taken care in the preparation of this book, but make no expressed or implied warranty of any kind and assume no responsibility for errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of the use of the information or programs contained herein. For information about buying this title in bulk quantities, or for special sales opportunities (which may include electronic versions; custom cover designs; and content particular to your business, training goals, marketing focus, or branding interests), please contact our corporate sales department at [email protected] or (800) 382-3419. For government sales inquiries, please contact [email protected]. For questions about sales outside the U.S., please contact [email protected]. -
The Best of Both Worlds?
The Best of Both Worlds? Reimplementing an Object-Oriented System with Functional Programming on the .NET Platform and Comparing the Two Paradigms Erik Bugge Thesis submitted for the degree of Master in Informatics: Programming and Networks 60 credits Department of Informatics Faculty of mathematics and natural sciences UNIVERSITY OF OSLO Autumn 2019 The Best of Both Worlds? Reimplementing an Object-Oriented System with Functional Programming on the .NET Platform and Comparing the Two Paradigms Erik Bugge © 2019 Erik Bugge The Best of Both Worlds? http://www.duo.uio.no/ Printed: Reprosentralen, University of Oslo Abstract Programming paradigms are categories that classify languages based on their features. Each paradigm category contains rules about how the program is built. Comparing programming paradigms and languages is important, because it lets developers make more informed decisions when it comes to choosing the right technology for a system. Making meaningful comparisons between paradigms and languages is challenging, because the subjects of comparison are often so dissimilar that the process is not always straightforward, or does not always yield particularly valuable results. Therefore, multiple avenues of comparison must be explored in order to get meaningful information about the pros and cons of these technologies. This thesis looks at the difference between the object-oriented and functional programming paradigms on a higher level, before delving in detail into a development process that consisted of reimplementing parts of an object- oriented system into functional code. Using results from major comparative studies, exploring high-level differences between the two paradigms’ tools for modular programming and general program decompositions, and looking at the development process described in detail in this thesis in light of the aforementioned findings, a comparison on multiple levels was done. -
Study on Eiffel
Study on Eiffel Jie Yao Anurag Katiyar May 11, 2008 Abstract This report gives an introduction to Eiffel, an object oriented language. The objective of the report is to draw the attention of the reader to the salient features of Eiffel. The report explains some of these features in brief along with language syntax. The report includes some code snippets that were written in the process of learning Eiffel. Some of the more detailed tutorials, books and papers on Eiffel can be found at www.eiffel.com 1 Contents 1 Introduction 3 2 Eiffel Constructs and Grammar 3 2.1 ”Hello World” . 3 2.2 Data Types . 3 2.3 Classes . 3 2.4 Libraries . 4 2.5 Features . 4 2.6 Class relations and hierarchy . 4 2.7 Inheritance . 4 2.8 Genericity . 5 2.9 Object Creation . 5 2.10 Exceptions . 6 2.11 Agents and Iteration . 6 2.12 Tuples . 6 2.13 Typing . 6 2.14 Scope . 7 2.15 Memory Management . 7 2.16 External software . 7 3 Fundamental Properties 7 3.1 ”Has” Properties . 8 3.2 ”Has no” Properties . 9 4 Design principles in Eiffel 10 4.1 Design by Contract . 10 4.2 Command Query Separation . 11 4.3 Uniform Access Principle . 11 4.4 Single Choice Principle . 11 5 Compilation Process in Eiffel 11 6 Exception Handling in the compiler 12 7 Garbage Collection for Eiffel 12 7.1 Garbage Collector Structure . 12 7.2 Garbage Collector in Action . 13 8 Eiffel’s approach to typing 13 8.1 Multiple inheritance . -
Polymorphic Identifiers: Uniform Resource Access in Objective-Smalltalk
Polymorphic Identifiers: Uniform Resource Access in Objective-Smalltalk Marcel Weiher Robert Hirschfeld Hasso Plattner Institute, University of Potsdam Hasso Plattner Institute, University of Potsdam [email protected] [email protected] Abstract compose these identifiers, use them on the LHS and RHS and In object-oriented programming, polymorphic dispatch of opera- partially use them for indirect access. Computational abstraction tions decouples clients from specific providers of services and al- is handled separately. lows implementations to be modified or substituted without affect- Object-oriented programming languages such as Smalltalk, ing clients. Java and Objective-C mostly maintain the distinction between The Uniform Access Principle (UAP) tries to extend these qual- computational and storage abstraction, with polymorphism and ities to resource access by demanding that access to state be indis- most other abstraction mechanisms only applying to computational tinguishable from access to operations. Despite language features abstraction. Access to storage, when not mediated via a method, supporting the UAP, the overall goal of substitutability has not been defeats encapsulation and makes code brittle against changes or achieved for either alternative resources such as keyed storage, files subclassing, which is why convention moved toward having all or web pages, or for alternate access mechanisms: specific kinds of access to state (instance variables) mediated by methods. resources are bound to specific access mechanisms and vice versa. The Uniform Access Principle (UAP) [22] was coined by Meyer Changing storage or access patterns either requires changes to both to formalize this convention: access to state should be indistin- clients and service providers and trying to maintain the UAP im- guishable from computation. -
Chapter-2 Object Oriented Programming Very Short/ Short Answer Questions 1
CHAPTER-2 OBJECT ORIENTED PROGRAMMING VERY SHORT/ SHORT ANSWER QUESTIONS 1. Discuss major OOP concepts briefly. Ans. Following are the general OOP concepts: 1. Data Abstraction: Data abstraction means, providing only essential information to the outside word and hiding their background details i.e. to represent the needed information in program without presenting the details. 2. Data Encapsulation: The wrapping up of data and operations/functions (that operate o the data) into a single unit (called class) is known as Encapsulation. 3. Modularity: Modularity is the property of a system that has been decomposed into a set of cohesive and loosely coupled modules. 4. Inheritance: Inheritance is the capability of one class of things to inherit capabilities or properties from another class. 5. Polymorphism: Polymorphism is the ability for a message or data to be processed in more than one form. 2. What are programming paradigms? Give names of some popular programming paradigms. Ans. Programming Paradigm: A Programming Paradigm defines the methodology of designing and implementing programs using the key features and building blocks of a programming language. Following are the different programming paradigms: (i) Procedural Programming (ii) Object Based Programming (iii) Object Oriented Programming 3. What are the shortcomings of procedural and modular programming approaches? Ans. Following are the various shortcomings of procedural and modular programming approaches: Procedural Programming is susceptible to design changes. Procedural Programming leads to increased time and cost overheads during design changes. Procedural and Modular programming both are unable to represent real world relationship that exists among objects. In modular programming, the arrangement of the data can’t be changed without modifying all the functions that access it. -
Modular Programming
Modular Programming Prof. Clarkson Fall 2016 Today’s music: "Giorgio By Moroder" by Daft Punk Te Moog modular synthesizer Review Previously in 3110: • Functions, data • lots of language features • how to build small programs Today: • language features for building large programs: structures, signatures, modules Question What’s the largest program you’ve ever worked on, by yourself or as part of a team? A. 10-100 LoC B. 100-1,000 LoC C. 1,000-10,000 LoC D. 10,000-100,000 LoC E. 100,000 LoC or bigger Scale • My solution to A1: 100 LoC • My solution to A2: 300 LoC • OCaml: 200,000 LoC • Unreal engine 3: 2,000,000 LoC • Windows Vista: 50,000,000 LoC http://www.informationisbeautiful.net/visualizations/million-lines-of-code/ ...can’t be done by one person ...no individual programmer can understand all the details ...too complex to build with subset of OCaml we’ve seen so far Modularity Modular programming: code comprises independent modules – developed separately – understand behavior of module in isolation – reason locally, not globally Java features for modularity • classes, packages: organize identifiers (classes, methods, fields, etc.) into namespaces • interfaces: describe related classes • public, protected, private: control what is visible outside a namespace • subtyping, inheritance: enables code reuse OCaml features for modularity • structures: organize identifiers (functions, values, etc.) into namespaces • signatures: describe related modules • abstract types: control what is visible outside a namespace • functors, includes: enable