Mining Design Pattern Use Scenarios and Related Design Pattern Pairs: a Case Study on Online Posts
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1 Design Pattern for Open Class (DRAFT) 2 Abstract Factory
1 Design Pattern for Open Class (DRAFT) Tanaka Akira <[email protected]> A design pattern describes a software architecture which is reusable and exten- sible. [GoF] is the book containing 23 design patterns for OOP languages like C++ and Java. [GoF] describes several trade offs of the patterns. In C++ and Java, a class is defined by only one module. However, there are languages which can define a class by two or more modules: Cecil, MultiJava, AspectJ, MixJuice, CLOS, Ruby, etc. Such class is called "open class" because it is extensible by modules implemented later [Chambers]. For languages with open class, more extensible and/or simpler design patterns exists. We studied design patterns with open class for each GoF design patterns. In this paper, we describe two patterns: the Abstract Factory pattern and the Visitor pattern. 2 Abstract Factory The Abstract Factory pattern is a design pattern for separating class names from the code which generates the object group of related classes for making them configurable. Following figure is the class diagram of the Abstract Factory pattern. Since the example described in [GoF] uses only one concrete factory for each binaries, the required concrete factory is selected statically. The example builds two binaries for Motif and Presentation Manager from a single source code. Two concrete factories are exist for Motif and Presentation Manager. When a binary is built, it is selected which concrete factory is linked. Such static selection can be implemented with the fewer number of classes by open class as following modules. • The module which defines Window and ScrollBar class and their methods which is independent to window systems. -
Tree Visitors in Clojure Update the Java Visitor Pattern with Functional Zippers
Tree visitors in Clojure Update the Java Visitor pattern with functional zippers Skill Level: Intermediate Alex Miller ([email protected]) Senior Engineer Revelytix 20 Sep 2011 JVM language explorer Alex Miller has recently discovered the benefits of implementing the Visitor pattern using Clojure, a functional Lisp variant for the Java Virtual Machine. In this article, he revisits the Visitor pattern, first demonstrating its use in traversing tree data in Java programs, then rewriting it with the addition of Clojure's functional zippers. I’ve used trees of domain objects in my Java applications for many years. More recently, I’ve been using them in Clojure. In each case, I've found that the Visitor pattern is a reliable tool for manipulating trees of data. But there are differences in how the pattern works in a functional versus object-oriented language, and in the results it yields. About Clojure Clojure is a dynamic and functional programming language variant of Lisp, written specifically for the JVM. Learn more about Clojure on developerWorks: •"The Clojure programming language" •"Clojure and concurrency" •"Solving the Expression Problem with Clojure 1.2" •"Using CouchDB with Clojure" In this article, I revisit domain trees and the Visitor pattern for the Java language, Tree visitors in Clojure Trademarks © Copyright IBM Corporation 2011 Page 1 of 27 developerWorks® ibm.com/developerWorks then walk through several visitor implementations using Clojure. Being a functional language, Clojure brings new tricks to data query and manipulation. In particular, I've found that integrating functional zippers into the Visitor pattern yields efficiency benefits, which I explore. -
Object-Oriented Desgin Visitor Pattern George Blankenship 1
Object-Oriented Desgin Visitor Pattern CSCI 253 Object Oriented Design: Visitor Pattern George Blankenship Visitor Pattern George Blankenship 1 Overview Creational Patterns Structural Patterns Behavioral Patterns Singleton Composite Chain of Respons. Abstract factory Façade Command Factory Method Proxy Interpreter Prototype Flyweight Iterator Builder Mediator Adapter Memento Bridge Observer Decorator State Strategy Template Method Visitor Pattern George Blankenship Visitor 2 The Elements of a Design Pattern • A pattern name • The problem that the pattern solves – Including conditions for the pattern to be applicable • The solution to the problem brought by the pattern – The elements (classes-objects) involved, their roles, responsibilities, relationships and collaborations – Not a particular concrete design or implementation • The consequences of applying the pattern – Time and space trade off – Language and implementation issues – Effects on flexibility, extensibility, portability Visitor Pattern George Blankenship 3 George Blankenship 1 Object-Oriented Desgin Visitor Pattern The Visitor Pattern: The Problem Represents an operation to be performed on the elements of an object structure. Visitor lets you define a new operation without changing the classes of the elements on which it operates • many distinct and unrelated operations need to be performed on objects in an object structure an you want to avoid “polluting” their classes with these operations • the classes defining the object structure rarely change but you often want to define new operations over the structure Visitor Pattern George Blankenship 4 Visitor Example • The root of the structure accepts a visitor: root.accept( visitor ) • The root and every child object in the structure have a an accept method: void accept( visitor ) { visitor.visit( this ); for each child of mine child.accept( visitor ) next } • In short order our visitor gets a visit() call from each object in the collection. -
Dependency Injection with Unity
D EPEN DEPENDENCY INJECTION WITH UNITY Over the years software systems have evolutionarily become more and more patterns & practices D ENCY complex. One of the techniques for dealing with this inherent complexity Proven practices for predictable results of software systems is dependency injection – a design pattern that I allows the removal of hard-coded dependencies and makes it possible to Save time and reduce risk on your NJECT assemble a service by changing dependencies easily, whether at run-time software development projects by or compile-time. It promotes code reuse and loosely-coupled design which incorporating patterns & practices, I leads to more easily maintainable and flexible code. Microsoft’s applied engineering ON guidance that includes both production The guide you are holding in your hands is a primer on using dependency quality source code and documentation. W I injection with Unity – a lightweight extensible dependency injection TH DEPENDENCY INJECTION container built by the Microsoft patterns & practices team. It covers The guidance is designed to help U software development teams: various styles of dependency injection and also additional capabilities N I of Unity container, such as object lifetime management, interception, Make critical design and technology TY and registration by convention. It also discusses the advanced topics of selection decisions by highlighting WITH UNITY enhancing Unity with your custom extensions. the appropriate solution architectures, technologies, and Microsoft products The guide contains plenty of trade-off discussions and tips and tricks for for common scenarios managing your application cross-cutting concerns and making the most out of both dependency injection and Unity. These are accompanied by a Understand the most important Dominic Betts real world example that will help you master the techniques. -
The Convergence of Modeling and Programming
The Convergence of Modeling and Programming: Facilitating the Representation of Attributes and Associations in the Umple Model-Oriented Programming Language by Andrew Forward PhD Thesis Presented to the Faculty of Graduate and Postdoctoral Studies in partial fulfillment of the requirements for the degree Doctor of Philosophy (Computer Science1) Ottawa-Carleton Institute for Computer Science School of Information Technology and Engineering University of Ottawa Ottawa, Ontario, K1N 6N5 Canada © Andrew Forward, 2010 1 The Ph.D. program in Computer Science is a joint program with Carleton University, administered by the Ottawa Carleton Institute for Computer Science Acknowledgements A very special, and well-deserved, thank you to the following: a) Dr. Timothy C. Lethbridge. Tim has been a mentor of mine for several years, first as one of my undergraduate professors, later as my Master’s supervisor. Tim has again helped to shape my approach to software engineering, research and academics during my journey as a PhD candidate. b) The Complexity Reduction in Software Engineering (CRUISE) group and in particular Omar Badreddin and Julie Filion. Our weekly meetings, work with IBM, and the collaboration with the development of Umple were of great help. c) My family and friends. Thank you and much love Ayana; your support during this endeavor was much appreciated despite the occasional teasing about me still being in school. To my mom (and editor) Jayne, my dad Bill, my sister Allison and her husband Dennis. And, to my friends Neil, Roy, Van, Rob, Pat, and Ernesto – your help will be forever recorded in my work. Finally a special note to Ryan Lowe, a fellow Software Engineer that helped to keep my work grounded during our lengthy discussion about software development – I will miss you greatly. -
Designpatternsphp Documentation Release 1.0
DesignPatternsPHP Documentation Release 1.0 Dominik Liebler and contributors Jul 18, 2021 Contents 1 Patterns 3 1.1 Creational................................................3 1.1.1 Abstract Factory........................................3 1.1.2 Builder.............................................8 1.1.3 Factory Method......................................... 13 1.1.4 Pool............................................... 18 1.1.5 Prototype............................................ 21 1.1.6 Simple Factory......................................... 24 1.1.7 Singleton............................................ 26 1.1.8 Static Factory.......................................... 28 1.2 Structural................................................. 30 1.2.1 Adapter / Wrapper....................................... 31 1.2.2 Bridge.............................................. 35 1.2.3 Composite............................................ 39 1.2.4 Data Mapper.......................................... 42 1.2.5 Decorator............................................ 46 1.2.6 Dependency Injection...................................... 50 1.2.7 Facade.............................................. 53 1.2.8 Fluent Interface......................................... 56 1.2.9 Flyweight............................................ 59 1.2.10 Proxy.............................................. 62 1.2.11 Registry............................................. 66 1.3 Behavioral................................................ 69 1.3.1 Chain Of Responsibilities................................... -
Permissions, Visitor Pattern
Selected Topics in Object Oriented Programming Lecture 3: More OOP principles Leonid Barenboim Permissions Permissions define the areas within a program from which a feature (field/ method) can be accessed: private – only within the same class. protected - only within the class and its subclasses. public – from everywhere. Permission in java Java use somewhat different rules: private – only within the same class. package – only within the same package. protected – within the same package and within the subclasses outside the package. public – from everywhere. Selecting the right permission The principle of encapsulation suggests the following rules: All non-static fields should be private Service methods should be public Helper methods should be private/protected Permission rules in specific languages Smalltalk – all fields are private all methods are public Scripting languages (e.g., python) - No permissions! - Everything is public! The Visitor Pattern Reminder: Polymorphism Reminder: Polymorphism Animal animal; animal = new Dog; Animal * animal.say(); \\ “Woof” animal = new Cat; + say() * animal.say(); \\ “Miau” Cat Dog + say() + say() System.out.println(“Miau”) System.out.println(“Woof”) What happens if a method accepts an argument? boolean b; Animal * Animal cat = new Cat(); Animal mouse = new + say() * Mouse(); + eats(mouse: Mouse) : bool * b = cat.eats(mouse); + eats(cat: Cat) : bool * //compilation error Cat Mouse + say() + say() +eats(mouse : Mouse) : bool +eats(mouse : Mouse) : bool +eats(cat : Cat) : bool +eats(cat : Cat) : bool No support for polymorphism of arguments • Java (and many other languages) supports only polymorphism of the receiver (the variable on which the method is invoked). • Polymorphism of the receiver is performed using single dispatch. • Polymorphism of arguments is performed using multiple-level dispatch, which is resource consuming. -
Design Patterns in Ocaml
Design Patterns in OCaml Antonio Vicente [email protected] Earl Wagner [email protected] Abstract The GOF Design Patterns book is an important piece of any professional programmer's library. These patterns are generally considered to be an indication of good design and development practices. By giving an implementation of these patterns in OCaml we expected to better understand the importance of OCaml's advanced language features and provide other developers with an implementation of these familiar concepts in order to reduce the effort required to learn this language. As in the case of Smalltalk and Scheme+GLOS, OCaml's higher order features allows for simple elegant implementation of some of the patterns while others were much harder due to the OCaml's restrictive type system. 1 Contents 1 Background and Motivation 3 2 Results and Evaluation 3 3 Lessons Learned and Conclusions 4 4 Creational Patterns 5 4.1 Abstract Factory . 5 4.2 Builder . 6 4.3 Factory Method . 6 4.4 Prototype . 7 4.5 Singleton . 8 5 Structural Patterns 8 5.1 Adapter . 8 5.2 Bridge . 8 5.3 Composite . 8 5.4 Decorator . 9 5.5 Facade . 10 5.6 Flyweight . 10 5.7 Proxy . 10 6 Behavior Patterns 11 6.1 Chain of Responsibility . 11 6.2 Command . 12 6.3 Interpreter . 13 6.4 Iterator . 13 6.5 Mediator . 13 6.6 Memento . 13 6.7 Observer . 13 6.8 State . 14 6.9 Strategy . 15 6.10 Template Method . 15 6.11 Visitor . 15 7 References 18 2 1 Background and Motivation Throughout this course we have seen many examples of methodologies and tools that can be used to reduce the burden of working in a software project. -
Simple Injector Documentation Release 5
Simple Injector Documentation Release 5 Simple Injector Contributors Jul 27, 2021 Contents 1 Quick Start 3 1.1 Overview.................................................3 1.2 Getting started..............................................3 1.3 A Quick Example............................................4 1.3.1 Dependency Injection......................................4 1.3.2 Introducing Simple Injector...................................5 1.4 More information.............................................6 2 Using Simple Injector 7 2.1 Resolving instances...........................................9 2.2 Configuring Simple Injector....................................... 10 2.2.1 Auto-Registration/Batch-registration.............................. 13 2.3 Collections................................................ 14 2.3.1 Collection types......................................... 16 2.3.2 Auto-registering collections.................................. 16 2.3.3 Adding registrations to an existing collection......................... 17 2.4 Verifying the container’s configuration................................. 17 2.5 Automatic constructor injection / auto-wiring.............................. 18 2.6 More information............................................. 19 3 Object Lifetime Management 21 3.1 Transient Lifestyle............................................ 22 3.2 Singleton Lifestyle............................................ 22 3.3 Scoped Lifestyle............................................. 23 3.3.1 Disposing a Scope...................................... -
Laravel - My First Framework Companion for Developers Discovering Laravel PHP Framework
Laravel - my first framework Companion for developers discovering Laravel PHP framework Maksim Surguy This book is for sale at http://leanpub.com/laravel-first-framework This version was published on 2014-09-05 This is a Leanpub book. Leanpub empowers authors and publishers with the Lean Publishing process. Lean Publishing is the act of publishing an in-progress ebook using lightweight tools and many iterations to get reader feedback, pivot until you have the right book and build traction once you do. ©2014 Maksim Surguy Tweet This Book! Please help Maksim Surguy by spreading the word about this book on Twitter! The suggested hashtag for this book is #laravelfirst. Find out what other people are saying about the book by clicking on this link to search for this hashtag on Twitter: https://twitter.com/search?q=#laravelfirst Also By Maksim Surguy Integrating Front end Components with Web Applications Contents Introduction ................................................. i About the author ............................................. i Prerequisites ................................................ ii Source Code ................................................ ii 1. Meeting Laravel ............................................. 1 1.1 Introducing Laravel 4 PHP framework .............................. 1 1.1.1 Laravel’s Expressive code .................................. 2 1.1.2 Laravel applications use Model-View-Controller pattern ................. 3 1.1.3 Laravel was built by a great community .......................... 3 1.2 History of Laravel framework ................................... 4 1.2.1 State of PHP frameworks world before Laravel 4 ..................... 4 1.2.2 Evolution of Laravel framework .............................. 4 1.3 Advantages of Using Laravel ................................... 5 1.3.1 Convention over configuration ............................... 5 1.3.2 Ready out of the box .................................... 6 1.3.3 Clear organization of all parts of the application .................... -
An Experimental Study of the Performance, Energy, and Programming Effort Trade-Offs of Android Persistence Frameworks
An Experimental Study of the Performance, Energy, and Programming Effort Trade-offs of Android Persistence Frameworks Jing Pu Thesis submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Applications Eli Tilevich, Chair Barbara G. Ryder Francisco Servant July 1, 2016 Blacksburg, Virginia Keywords: Energy Efficiency; Performance; Programming Effort; Orthogonal Persistence; Android; Copyright 2016, Jing Pu An Experimental Study of the Performance, Energy, and Programming Effort Trade-offs of Android Persistence Frameworks Jing Pu (ABSTRACT) One of the fundamental building blocks of a mobile application is the ability to persist program data between different invocations. Referred to as persistence, this functionality is commonly implemented by means of persistence frameworks. When choosing a particular framework, Android|the most popular mobile platform—offers a wide variety of options to developers. Unfortunately, the energy, performance, and programming effort trade-offs of these frameworks are poorly understood, leaving the Android developer in the dark trying to select the most appropriate option for their applications. To address this problem, this thesis reports on the results of the first systematic study of six Android persistence frameworks (i.e., ActiveAndroid, greenDAO, Orm- Lite, Sugar ORM, Android SQLite, and Realm Java) in their application to and performance with popular benchmarks, such as DaCapo. Having measured and ana- lyzed the energy, performance, and programming effort trade-offs for each framework, we present a set of practical guidelines for the developer to choose between Android persistence frameworks. Our findings can also help the framework developers to optimize their products to meet the desired design objectives. -
1. Difference Between Factory Pattern and Abstract Factory Pattern S.No
1. Difference between Factory Pattern and Abstract Factory Pattern S.No Factory Pattern Abstract Factory Pattern 1 Create object through inheritance Create object through composition 2 Produce only one product Produce families of products 3 Implements code in the abstract creator Concrete factories implements factory that make use of the concrete type that method to create product sub class produces 2.Difference between Abstract Factory Pattern And Builder Pattern S.No Builder Pattern Abstract Factory Pattern 1 In Builder Pattern, there will be one Abstract Factory Pattern will return the Director class which will instruct Builder instance directly. class to build the different parts/properties of our object and finally retrieve the object. 2 It will have reference to the created It does not keep the track of it's created object. object. 3.Difference between Builder Pattern And Composite Pattern S.No Builder Pattern Composite Pattern 1 It is used to create group of objects of It creates Parent - Child relations between predefined types. our objects. 4.Difference between MVC and MVP S.No MVP MVC 1 MVP is a bit more complex to MVC is easier to implement than MVP. implement than MVC .Also, it has additional layer for view interfaces. 2 The request is always received by the The request is received by the controller View and delegated to the presenter which in turn gets the required data and which in turn gets the data does the loads up the appropriate view processing 3 The presentation and view logic an be The controller logic can be unit tested.