The Problems with Lack of Multiple Inheritance in Systemverilog and a Solution David Rich Dave [email protected]
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MANNING Greenwich (74° W
Object Oriented Perl Object Oriented Perl DAMIAN CONWAY MANNING Greenwich (74° w. long.) For electronic browsing and ordering of this and other Manning books, visit http://www.manning.com. The publisher offers discounts on this book when ordered in quantity. For more information, please contact: Special Sales Department Manning Publications Co. 32 Lafayette Place Fax: (203) 661-9018 Greenwich, CT 06830 email: [email protected] ©2000 by Manning Publications Co. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by means electronic, mechanical, photocopying, or otherwise, without prior written permission of the publisher. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in the book, and Manning Publications was aware of a trademark claim, the designations have been printed in initial caps or all caps. Recognizing the importance of preserving what has been written, it is Manning’s policy to have the books we publish printed on acid-free paper, and we exert our best efforts to that end. Library of Congress Cataloging-in-Publication Data Conway, Damian, 1964- Object oriented Perl / Damian Conway. p. cm. includes bibliographical references. ISBN 1-884777-79-1 (alk. paper) 1. Object-oriented programming (Computer science) 2. Perl (Computer program language) I. Title. QA76.64.C639 1999 005.13'3--dc21 99-27793 CIP Manning Publications Co. Copyeditor: Adrianne Harun 32 Lafayette -
A Comparative Study on the Effect of Multiple Inheritance Mechanism in Java, C++, and Python on Complexity and Reusability of Code
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 8, No. 6, 2017 A Comparative Study on the Effect of Multiple Inheritance Mechanism in Java, C++, and Python on Complexity and Reusability of Code Fawzi Albalooshi Amjad Mahmood Department of Computer Science Department of Computer Science University of Bahrain University of Bahrain Kingdom of Bahrain Kingdom of Bahrain Abstract—Two of the fundamental uses of generalization in Booch, there are two problems associated with multiple object-oriented software development are the reusability of code inheritance and they are how to deal with name collisions from and better structuring of the description of objects. Multiple super classes, and how to handle repeated inheritance. He inheritance is one of the important features of object-oriented presents solutions to these two problems. Other researchers [4] methodologies which enables developers to combine concepts and suggest that there is a real need for multiple inheritance for increase the reusability of the resulting software. However, efficient object implementation. They justify their claim multiple inheritance is implemented differently in commonly referring to the lack of multiple subtyping in the ADA 95 used programming languages. In this paper, we use Chidamber revision which was considered as a deficiency that was and Kemerer (CK) metrics to study the complexity and rectified in the newer version [5]. It is clear that multiple reusability of multiple inheritance as implemented in Python, inheritance is a fundamental concept in object-orientation. The Java, and C++. The analysis of results suggests that out of the three languages investigated Python and C++ offer better ability to incorporate multiple inheritance in system design and reusability of software when using multiple inheritance, whereas implementation will better structure the description of objects Java has major deficiencies when implementing multiple modeling, their natural status and enabling further code reuse inheritance resulting in poor structure of objects. -
Improving Virtual Function Call Target Prediction Via Dependence-Based Pre-Computation
Improving Virtual Function Call Target Prediction via Dependence-Based Pre-Computation Amir Roth, Andreas Moshovos and Gurindar S. Sohi Computer Sciences Department University of Wisconsin-Madison 1210 W Dayton Street, Madison, WI 53706 {amir, moshovos, sohi}@cs.wisc.edu Abstract In this initial work, we concentrate on pre-computing virtual function call (v-call) targets. The v-call mecha- We introduce dependence-based pre-computation as a nism enables code reuse by allowing a single static func- complement to history-based target prediction schemes. tion call to transparently invoke one of multiple function We present pre-computation in the context of virtual implementations based on run-time type information. function calls (v-calls), a class of control transfers that As shown in Table 1, v-calls are currently used in is becoming increasingly important and has resisted object-oriented programs with frequencies ranging from conventional prediction. Our proposed technique 1 in 200 to 1000 instructions (4 to 20 times fewer than dynamically identifies the sequence of operations that direct calls and 30 to 150 times fewer than conditional computes a v-call’s target. When the first instruction in branches). V-call importance will increase as object-ori- such a sequence is encountered, a small execution ented languages and methodologies gain popularity. For engine speculatively and aggressively pre-executes the now, v-calls make an ideal illustration vehicle for pre- rest. The pre-computed target is stored and subse- computation techniques since their targets are both diffi- quently used when a prediction needs to be made. We cult to predict and easy to pre-compute. -
Mixins and Traits
◦ ◦◦◦ TECHNISCHE UNIVERSITAT¨ MUNCHEN¨ ◦◦◦◦ ◦ ◦ ◦◦◦ ◦◦◦◦ ¨ ¨ ◦ ◦◦ FAKULTAT FUR INFORMATIK Programming Languages Mixins and Traits Dr. Michael Petter Winter 2016/17 What advanced techiques are there besides multiple implementation inheritance? Outline Design Problems Cons of Implementation Inheritance 1 Inheritance vs Aggregation 1 2 (De-)Composition Problems Lack of finegrained Control 2 Inappropriate Hierarchies Inheritance in Detail A Focus on Traits 1 A Model for single inheritance 1 2 Inheritance Calculus with Separation of Composition and Inheritance Expressions Modeling 2 3 Modeling Mixins Trait Calculus Mixins in Languages Traits in Languages 1 (Virtual) Extension Methods 1 Simulating Mixins 2 Squeak 2 Native Mixins Reusability ≡ Inheritance? Codesharing in Object Oriented Systems is often inheritance-centric. Inheritance itself comes in different flavours: I single inheritance I multiple inheritance All flavours of inheritance tackle problems of decomposition and composition The Adventure Game Door ShortDoor LockedDoor canPass(Person p) canOpen(Person p) ? ShortLockedDoor canOpen(Person p) canPass(Person p) The Adventure Game Door <interface>Doorlike canPass(Person p) canOpen(Person p) Short canPass(Person p) Locked canOpen(Person p) ShortLockedDoor ! Aggregation & S.-Inheritance Door must explicitely provide canOpen(Person p) chaining canPass(Person p) Doorlike must anticipate wrappers ) Multiple Inheritance X The Wrapper FileStream SocketStream read() read() write() write() ? SynchRW acquireLock() releaseLock() ! Inappropriate Hierarchies -
Valloy – Virtual Functions Meet a Relational Language
VAlloy – Virtual Functions Meet a Relational Language Darko Marinov and Sarfraz Khurshid MIT Laboratory for Computer Science 200 Technology Square Cambridge, MA 02139 USA {marinov,khurshid}@lcs.mit.edu Abstract. We propose VAlloy, a veneer onto the first order, relational language Alloy. Alloy is suitable for modeling structural properties of object-oriented software. However, Alloy lacks support for dynamic dis- patch, i.e., function invocation based on actual parameter types. VAlloy introduces virtual functions in Alloy, which enables intuitive modeling of inheritance. Models in VAlloy are automatically translated into Alloy and can be automatically checked using the existing Alloy Analyzer. We illustrate the use of VAlloy by modeling object equality, such as in Java. We also give specifications for a part of the Java Collections Framework. 1 Introduction Object-oriented design and object-oriented programming have become predom- inant software methodologies. An essential feature of object-oriented languages is inheritance. It allows a (sub)class to inherit variables and methods from su- perclasses. Some languages, such as Java, only support single inheritance for classes. Subclasses can override some methods, changing the behavior inherited from superclasses. We use C++ term virtual functions to refer to methods that can be overridden. Virtual functions are dynamically dispatched—the actual function to invoke is selected based on the dynamic types of parameters. Java only supports single dynamic dispatch, i.e., the function is selected based only on the type of the receiver object. Alloy [9] is a first order, declarative language based on relations. Alloy is suitable for specifying structural properties of software. Alloy specifications can be analyzed automatically using the Alloy Analyzer (AA) [8]. -
Mixin-Based Programming in C++1
Mixin-Based Programming in C++1 Yannis Smaragdakis Don Batory College of Computing Department of Computer Sciences Georgia Institute of Technology The University of Texas at Austin Atlanta, GA 30332 Austin, Texas 78712 [email protected] [email protected] Abstract. Combinations of C++ features, like inheritance, templates, and class nesting, allow for the expression of powerful component patterns. In particular, research has demonstrated that, using C++ mixin classes, one can express lay- ered component-based designs concisely with efficient implementations. In this paper, we discuss pragmatic issues related to component-based programming using C++ mixins. We explain surprising interactions of C++ features and poli- cies that sometimes complicate mixin implementations, while other times enable additional functionality without extra effort. 1 Introduction Large software artifacts are arguably among the most complex products of human intellect. The complexity of software has led to implementation methodologies that divide a problem into manageable parts and compose the parts to form the final prod- uct. Several research efforts have argued that C++ templates (a powerful parameteriza- tion mechanism) can be used to perform this division elegantly. In particular, the work of VanHilst and Notkin [29][30][31] showed how one can implement collaboration-based (or role-based) designs using a certain templatized class pattern, known as a mixin class (or just mixin). Compared to other techniques (e.g., a straightforward use of application frameworks [17]) the VanHilst and Notkin method yields less redundancy and reusable components that reflect the structure of the design. At the same time, unnecessary dynamic binding can be eliminated, result- ing into more efficient implementations. -
Inheritance & Polymorphism
6.088 Intro to C/C++ Day 5: Inheritance & Polymorphism Eunsuk Kang & JeanYang In the last lecture... Objects: Characteristics & responsibilities Declaring and defining classes in C++ Fields, methods, constructors, destructors Creating & deleting objects on stack/heap Representation invariant Today’s topics Inheritance Polymorphism Abstract base classes Inheritance Types A class defines a set of objects, or a type people at MIT Types within a type Some objects are distinct from others in some ways MIT professors MIT students people at MIT Subtype MIT professor and student are subtypes of MIT people MIT professors MIT students people at MIT Type hierarchy MIT Person extends extends Student Professor What characteristics/behaviors do people at MIT have in common? Type hierarchy MIT Person extends extends Student Professor What characteristics/behaviors do people at MIT have in common? �name, ID, address �change address, display profile Type hierarchy MIT Person extends extends Student Professor What things are special about students? �course number, classes taken, year �add a class taken, change course Type hierarchy MIT Person extends extends Student Professor What things are special about professors? �course number, classes taught, rank (assistant, etc.) �add a class taught, promote Inheritance A subtype inherits characteristics and behaviors of its base type. e.g. Each MIT student has Characteristics: Behaviors: name display profile ID change address address add a class taken course number change course classes taken year Base type: MITPerson -
Comp 411 Principles of Programming Languages Lecture 19 Semantics of OO Languages
Comp 411 Principles of Programming Languages Lecture 19 Semantics of OO Languages Corky Cartwright Mar 10-19, 2021 Overview I • In OO languages, OO data values (except for designated non-OO types) are special records [structures] (finite mappings from names to values). In OO parlance, the components of record are called members. • Some members of an object may be functions called methods. Methods take this (the object in question) as an implicit parameter. Some OO languages like Java also support static methods that do not depend on this; these methods have no implicit parameters. In efficient OO language implementations, method members are shared since they are the same for all instances of a class, but this sharing is an optimization in statically typed OO languages since the collection of methods in a class is immutable during program evaluation (computation). • A method (instance method in Java) can only be invoked on an object (the receiver, an implicit parameter). Additional parameters are optional, depending on whether the method expects them. This invocation process is called dynamic dispatch because the executed code is literally extracted from the object: the code invoked at a call site depends on the value of the receiver, which can change with each execution of the call. • A language with objects is OO if it supports dynamic dispatch (discussed in more detail in Overview II & III) and inheritance, an explicit taxonomy for classifying objects based on their members and class names where superclass/parent methods are inherited unless overridden. • In single inheritance, this taxonomy forms a tree; • In multiple inheritance, it forms a rooted DAG (directed acyclic graph) where the root class is the universal class (Object in Java). -
CSE 307: Principles of Programming Languages Classes and Inheritance
OOP Introduction Type & Subtype Inheritance Overloading and Overriding CSE 307: Principles of Programming Languages Classes and Inheritance R. Sekar 1 / 52 OOP Introduction Type & Subtype Inheritance Overloading and Overriding Topics 1. OOP Introduction 3. Inheritance 2. Type & Subtype 4. Overloading and Overriding 2 / 52 OOP Introduction Type & Subtype Inheritance Overloading and Overriding Section 1 OOP Introduction 3 / 52 OOP Introduction Type & Subtype Inheritance Overloading and Overriding OOP (Object Oriented Programming) So far the languages that we encountered treat data and computation separately. In OOP, the data and computation are combined into an “object”. 4 / 52 OOP Introduction Type & Subtype Inheritance Overloading and Overriding Benefits of OOP more convenient: collects related information together, rather than distributing it. Example: C++ iostream class collects all I/O related operations together into one central place. Contrast with C I/O library, which consists of many distinct functions such as getchar, printf, scanf, sscanf, etc. centralizes and regulates access to data. If there is an error that corrupts object data, we need to look for the error only within its class Contrast with C programs, where access/modification code is distributed throughout the program 5 / 52 OOP Introduction Type & Subtype Inheritance Overloading and Overriding Benefits of OOP (Continued) Promotes reuse. by separating interface from implementation. We can replace the implementation of an object without changing client code. Contrast with C, where the implementation of a data structure such as a linked list is integrated into the client code by permitting extension of new objects via inheritance. Inheritance allows a new class to reuse the features of an existing class. -
Inheritance | Data Abstraction Z Information Hiding, Adts | Encapsulation | Type Extensibility for : COP 3330
OOP components Inheritance | Data Abstraction z Information Hiding, ADTs | Encapsulation | Type Extensibility For : COP 3330. z Operator Overloading Object oriented Programming (Using C++) | Inheritance http://www.compgeom.com/~piyush/teach/3330 z Code Reuse | Polymorphism Piyush Kumar “Is a” Vs “Has a” Another Example UML Vehicle Inheritance class Car : public Vehicle { public: Considered an “Is a” class relationship // ... Car }; e.g.: An HourlyEmployee “is a” Employee A Convertible “is a” Automobile We state the above relationship in several ways: * Car is "a kind of a" Vehicle A class contains objects of another class * Car is "derived from" Vehicle as it’s member data * Car is "a specialized" Vehicle * Car is the "subclass" of Vehicle Considered a “Has a” class relationship * Vehicle is the "base class" of Car * Vehicle is the "superclass" of Car (this not as common in the C++ community) e.g.: One class “has a” object of another class as it’s data Virtual Functions Virtual Destructor rule | Virtual means “overridable” | If a class has one virtual function, you | Runtime system automatically invokes want to have a virtual destructor. the proper member function. | A virtual destructor causes the compiler to use dynamic binding when calling the destructor. | Costs 10% to 20% extra overhead compared to calling a non-virtual | Constructors: Can not be virtual. You function call. should think of them as static member functions that create objects. 1 Pure virtual member Pure virtual. functions. | A pure virtual member function is a | Specified by writing =0 after the member function that the base class function parameter list. forces derived classes to provide. -
Multiple Inheritance and the Resolution of Inheritance Conflicts
JOURNAL OF OBJECT TECHNOLOGY Online at http://www.jot.fm. Published by ETH Zurich, Chair of Software Engineering ©JOT, 2005 Vol. 4, No.2, March-April 2005 The Theory of Classification Part 17: Multiple Inheritance and the Resolution of Inheritance Conflicts Anthony J H Simons, Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK 1 INTRODUCTION This is the seventeenth article in a regular series on object-oriented theory for non- specialists. Using a second-order λ-calculus model, we have previously modelled the notion of inheritance as a short-hand mechanism for defining subclasses by extending superclass definitions. Initially, we considered the inheritance of type [1] and implementation [2] separately, but later combined both of these in a model of typed inheritance [3]. By simplifying the short-hand inheritance expressions, we showed how these are equivalent to canonical class definitions. We also showed how classes derived by inheritance are type compatible with their superclass. Further aspects of inheritance have included method combination [4], mixin inheritance [5] and inheritance among generic classes [6]. Most recently, we re-examined the ⊕ inheritance operator [7], to show how extending a class definition (the intension of a class) has the effect of restricting the set of objects that belong to the class (the extension of the class). We also added a type constraint to the ⊕ operator, to restrict the types of fields that may legally be combined with a base class to yield a subclass. By varying the form of this constraint, we modelled the typing of inheritance in Java, Eiffel, C++ and Smalltalk. -
Virtual Function in C++
BCA SEMESTER-II Object Oriented Programming using C++ Paper Code: BCA CC203 Unit :4 Virtual Function in C++ By: Ms. Nimisha Manan Assistant Professor Dept. of Computer Science Patna Women’s College Virtual Function When the same function name is defined in the base class as well as the derived class , then the function in the base class is declared as Virtual Function. Thus a Virtual function can be defined as “ A special member function that is declared within a base class and redefined by a derived class is known as virtual function”. To declare a virtual function, in the base class precede the function prototype with the keyword virtual. Syntax for defining a virtual function is as follows:- virtual return_type function_name(arguments) { ------ } Through virtual function, functions of the base class can be overridden by the functions of the derived class. With the help of virtual function, runtime polymorphism or dynamic polymorphism which is also known as late binding is implemented on that function. A function call is resolved at runtime in late binding and so compiler determines the type of object at runtime. Late binding allows binding between the function call and the appropriate virtual function (to be called) to be done at the time of execution of the program. A class that declares or inherits a virtual function is called a polymorphic class. For Example: Virtual void show() { Cout<<”This is a virtual function”; } Implementation of Dynamic Polymorphism through Virtual Function Dynamic Polymorphism is implemented through virtual function by using a single pointer to the base class that points to all the objects of derived class classes.