Decorator and Factory
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(GOF) Java Design Patterns Mock Exams
Gang of Four (GOF) Java Design Patterns Mock Exams http://www.JavaChamp.com Open Certification Plattform Authors: N. Ibrahim, Y. Ibrahim Copyright (c) 2009-2010 Introducing JavaChamp.com Website JavaChamp.com is an Open Certification Platform. What does this mean? JavaChamp is the best place to learn, share, and certify your professional skills. We help you develop yourself in the field of computer science and programming Here are the most significant features offered by JavaChamp: Online Exams Start Online Certification Exams in SCJP, SCEA, EJB, JMS, JPA and more... Top quality mock exams for SCJP, SCEA, EJB, JMS, JPA. Start Express or topic-wise customized exam. * We offer you unlimited free mock exams * Exams cover subjects like SCJP, SCEA, EJB, JMS, JPA,.. * You can take as many exams as you want and at any time and for no charges * Each exam contains 20 multiple choice questions * You can save the exams taken in your exams history * Your exams history saves the exams you took, the scores you got, time took you to finish the exam, date of examination and also saves your answers to the questions for later revision * You can re-take the same exam to monitor your progress * Your exams history helps the system to offer you variant new questions every time you take a new exam, therefore we encourage you to register and maintain an exams history Network Find guidance through the maze, meet Study-Mates, Coaches or Trainees... Studying together is fun, productive and helps you in building your professional network and collecting leads Bookshelf JavaChamp Bookshelf full of PDF eBooks.. -
Usage of Factory Design Pattern
What is a Creational Pattern? Creational Patterns are concerned with object creation problems faced during software design. Object creation often results in design problems, creational patterns solve this problem by controlling the object creation. Factory pattern A Factory Pattern or Factory Method Pattern says that just define an interface or abstract class for creating an object but let the subclasses decide which class to instantiate. In other words, subclasses are responsible to create the instance of the class. The Factory Method Pattern is also known as Virtual Constructor. A Factory returns an instance of an object based on the data supplied to it. The instance returned can be one of many classes that extend a common parent class or interface. ("Animal" as a parent class, then "Dog", "Cat", "Zebra" as child classes.) Create objects without exposing their instantiation logic. Consequences: The requestor is independent of the concrete object that is created (how that object is created, and which class is actually created). Advantage of Factory Design Pattern Factory Method Pattern allows the sub-classes to choose the type of objects to create. It promotes the loose-coupling by eliminating the need to bind application-specific classes into the code. That means the code interacts solely with the resultant interface or abstract class, so that it will work with any classes that implement that interface or that extends that abstract class. Usage of Factory Design Pattern When a class doesn't know what sub-classes will be required to create When a class wants that its sub-classes specify the objects to be created. -
Design Patterns Promote Reuse
Design Patterns Promote Reuse “A pattern describes a problem that occurs often, along with a tried solution to the problem” - Christopher Alexander, 1977 • Christopher Alexander’s 253 (civil) architectural patterns range from the creation of cities (2. distribution of towns) to particular building problems (232. roof cap) • A pattern language is an organized way of tackling an architectural problem using patterns Kinds of Patterns in Software • Architectural (“macroscale”) patterns • Model-view-controller • Pipe & Filter (e.g. compiler, Unix pipeline) • Event-based (e.g. interactive game) • Layering (e.g. SaaS technology stack) • Computation patterns • Fast Fourier transform • Structured & unstructured grids • Dense linear algebra • Sparse linear algebra • GoF (Gang of Four) Patterns: structural, creational, behavior The Gang of Four (GoF) • 23 structural design patterns • description of communicating objects & classes • captures common (and successful) solution to a category of related problem instances • can be customized to solve a specific (new) problem in that category • Pattern ≠ • individual classes or libraries (list, hash, ...) • full design—more like a blueprint for a design The GoF Pattern Zoo 1. Factory 13. Observer 14. Mediator 2. Abstract factory 15. Chain of responsibility 3. Builder Creation 16. Command 4. Prototype 17. Interpreter 18. Iterator 5. Singleton/Null obj 19. Memento (memoization) 6. Adapter Behavioral 20. State 21. Strategy 7. Composite 22. Template 8. Proxy 23. Visitor Structural 9. Bridge 10. Flyweight 11. -
Dependency Injection in Unity3d
Dependency Injection in Unity3D Niko Parviainen Bachelor’s thesis March 2017 Technology, communication and transport Degree Programme in Software Engineering Description Author(s) Type of publication Date Parviainen, Niko Bachelor’s thesis March 2017 Language of publication: English Number of pages Permission for web publi- 57 cation: x Title of publication Dependency Injection in Unity3D Degree programme Degree Programme in Software Engineering Supervisor(s) Rantala, Ari Hämäläinen, Raija Assigned by Psyon Games Oy Abstract The objective was to find out how software design patterns and principles are applied to game development to achieve modular design. The tasks of the research were to identify the dependency management problem of a modular design, find out what the solutions offered by Unity3D are, find out what the dependency injection pattern is and how it is used in Unity3D environment. Dependency management in Unity3D and the dependency injection pattern were studied. Problems created by Unity3D’s solutions were introduced with examples. Dependency in- jection pattern was introduced with examples and demonstrated by implementing an ex- ample game using one of the available third-party frameworks. The aim of the example game was to clarify if the use of dependency injection brings modularity in Unity3D envi- ronment and what the cost of using it is. The principles of SOLID were introduced with generic examples and used to assist depend- ency injection to further increase the modularity by bringing the focus on class design. Dependency injection with the help of SOLID principles increased the modularity by loosely coupling classes even though slightly increasing the overall complexity of the architecture. -
Facet: a Pattern for Dynamic Interfaces
Facet: A pattern for dynamic interfaces Author: Eric Crahen SUNY at Buffalo CSE Department Amherst, NY 14260 201 Bell Hall 716-645-3180 <[email protected]> Context: Wherever it is desirable to create a context sensitive interface in order to modify or control the apparent behavior if an object. Problem: How can I modify the behavior of an existing object so that different behaviors are shown under different circumstances; and yet still maintain a clean separation between the policy (when each behavior is available) and implementation of each behavior allowing them to be developed independently of one another? Forces: Interfaces provide an essential level of abstraction to object oriented programming. Generally, objects are able define aspects of their function very well using interfaces. At times, this may not be enough. When dealing with two or more classes whose responsibilities are distinctly separate, but whose behavior is closely related, classes can begin to resist modularization. For example, adding security to an application means inserting code that performs security checks into numerous locations in existing classes. Clearly, these responsibilities are distinct; the original classes being responsible for the tasks they were designed to perform, and the security classes being responsible for providing access control. However, making those original classes secure means intermingling code that deals with security. When the classes dealing with security are changed many classes are going to be impacted. One method of adding new behavior to an existing class might be to simply create a subclass and embed that new behavior. In the security example, this would mean creating a subclass for each class that needs to be secure and adding calls to the security code. -
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. -
A Design Pattern Detection Tool for Code Reuse
DP-CORE: A Design Pattern Detection Tool for Code Reuse Themistoklis Diamantopoulos, Antonis Noutsos and Andreas Symeonidis Electrical and Computer Engineering Dept., Aristotle University of Thessaloniki, Thessaloniki, Greece [email protected], [email protected], [email protected] Keywords: Design Pattern Detection, Static Code Analysis, Reverse Engineering, Code Reuse. Abstract: In order to maintain, extend or reuse software projects one has to primarily understand what a system does and how well it does it. And, while in some cases information on system functionality exists, information covering the non-functional aspects is usually unavailable. Thus, one has to infer such knowledge by extracting design patterns directly from the source code. Several tools have been developed to identify design patterns, however most of them are limited to compilable and in most cases executable code, they rely on complex representations, and do not offer the developer any control over the detected patterns. In this paper we present DP-CORE, a design pattern detection tool that defines a highly descriptive representation to detect known and define custom patterns. DP-CORE is flexible, identifying exact and approximate pattern versions even in non-compilable code. Our analysis indicates that DP-CORE provides an efficient alternative to existing design pattern detection tools. 1 INTRODUCTION ecutable. As a result, developers cannot exploit the source code of other systems without first resolving Developers need to understand existing projects in or- their dependencies and executing them correctly. Sec- der to maintain, extend, or reuse them. However, un- ondly, pattern representations in most tools are not in- derstanding usually comes down to understanding the tuitive, thus resulting in black box systems that do not source code of a project, which is inherently difficult, allow the developer any control over the detected pat- especially when the original software architecture and terns. -
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. -
HEDGEHOG: Automatic Verification of Design Patterns in Java
HEDGEHOG: Automatic Verification of Design Patterns in Java Alex Blewitt I V N E R U S E I T H Y T O H F G E R D I N B U Doctor of Philosophy School of Informatics University of Edinburgh 2006 Abstract Design patterns are widely used by designers and developers for building complex systems in object-oriented programming languages such as Java. However, systems evolve over time, increasing the chance that the pattern in its original form will be broken. To verify that a design pattern has not been broken involves specifying the original intent of the design pattern. Whilst informal descriptions of patterns exist, no formal specifications are available due to differences in implementations between programming languages. This thesis shows that many patterns (implemented in Java) can be verified automatically. Patterns are defined in terms of variants, mini-patterns, and artefacts in a pattern description language called SPINE. These specifications are then processed by HEDGEHOG, an automated proof tool that attempts to prove that Java source code meets these specifications. iii Acknowledgements I am indebted to Alan Bundy who has given me the freedom to work on this thesis whilst at the same time guiding me towards the final production and presentation of these results. I not would have been able to achieve this without Alan’s support through a sometimes difficult, but always busy part of my life. This project, and especially the production of this thesis, would not have been possible without the care and attention that Alan provided. Ian Stark has provided invaluable feedback on all aspects of this thesis, from the low-level technical intricacies of Java’s design patterns through to the high-level structure of the thesis as a whole. -
On the Interaction of Object-Oriented Design Patterns and Programming
On the Interaction of Object-Oriented Design Patterns and Programming Languages Gerald Baumgartner∗ Konstantin L¨aufer∗∗ Vincent F. Russo∗∗∗ ∗ Department of Computer and Information Science The Ohio State University 395 Dreese Lab., 2015 Neil Ave. Columbus, OH 43210–1277, USA [email protected] ∗∗ Department of Mathematical and Computer Sciences Loyola University Chicago 6525 N. Sheridan Rd. Chicago, IL 60626, USA [email protected] ∗∗∗ Lycos, Inc. 400–2 Totten Pond Rd. Waltham, MA 02154, USA [email protected] February 29, 1996 Abstract Design patterns are distilled from many real systems to catalog common programming practice. However, some object-oriented design patterns are distorted or overly complicated because of the lack of supporting programming language constructs or mechanisms. For this paper, we have analyzed several published design patterns looking for idiomatic ways of working around constraints of the implemen- tation language. From this analysis, we lay a groundwork of general-purpose language constructs and mechanisms that, if provided by a statically typed, object-oriented language, would better support the arXiv:1905.13674v1 [cs.PL] 31 May 2019 implementation of design patterns and, transitively, benefit the construction of many real systems. In particular, our catalog of language constructs includes subtyping separate from inheritance, lexically scoped closure objects independent of classes, and multimethod dispatch. The proposed constructs and mechanisms are not radically new, but rather are adopted from a variety of languages and programming language research and combined in a new, orthogonal manner. We argue that by describing design pat- terns in terms of the proposed constructs and mechanisms, pattern descriptions become simpler and, therefore, accessible to a larger number of language communities. -
Design Pattern Implementation in Java and Aspectj
Design Pattern Implementation in Java and AspectJ Jan Hannemann Gregor Kiczales University of British Columbia University of British Columbia 201-2366 Main Mall 201-2366 Main Mall Vancouver B.C. V6T 1Z4 Vancouver B.C. V6T 1Z4 jan [at] cs.ubc.ca gregor [at] cs.ubc.ca ABSTRACT successor in the chain. The event handling mechanism crosscuts the Handlers. AspectJ implementations of the GoF design patterns show modularity improvements in 17 of 23 cases. These improvements When the GoF patterns were first identified, the sample are manifested in terms of better code locality, reusability, implementations were geared to the current state of the art in composability, and (un)pluggability. object-oriented languages. Other work [19, 22] has shown that implementation language affects pattern implementation, so it seems The degree of improvement in implementation modularity varies, natural to explore the effect of aspect-oriented programming with the greatest improvement coming when the pattern solution techniques [11] on the implementation of the GoF patterns. structure involves crosscutting of some form, including one object As an initial experiment we chose to develop and compare Java playing multiple roles, many objects playing one role, or an object [27] and AspectJ [25] implementations of the 23 GoF patterns. playing roles in multiple pattern instances. AspectJ is a seamless aspect-oriented extension to Java, which means that programming in AspectJ is effectively programming in Categories and Subject Descriptors Java plus aspects. D.2.11 [Software Engineering]: Software Architectures – By focusing on the GoF patterns, we are keeping the purpose, patterns, information hiding, and languages; D.3.3 intent, and applicability of 23 well-known patterns, and only allowing [Programming Languages]: Language Constructs and Features – the solution structure and solution implementation to change. -
Design Patterns
DesignPatterns CSE 110 Discussion - Week8 Decorator Pattern Problem You want to add behavior or state to individual objects at run-time. Inheritance is not feasible because it is static and applies to an entire class. Intent • This pattern creates a decorator class which wraps the original class and provides additional functionality keeping class methods signature intact. • Client-specified embellishment of a core object by recursively wrapping it. • Wrapping a gift, putting it in a box, and wrapping the box. Decorator Example Decorator: Question (Take 7 mins) Consider you have a car interface and a basic car class as defined below public interface Car { public class BasicCar implements Car { public void assemble(); @Override } public void assemble() { System.out.print("Basic Car."); } } Now based on these definitions, how would you design the following - 1) A luxury car 2) A sports car 3) A luxury car that is also a sports car Decorator : Answer public class CarDecorator implements Car { protected Car car; public CarDecorator(Car c){ this.car=c; } @Override public void assemble() { this.car.assemble(); } } Decorator : Answer Contd. public class SportsCar extends CarDecorator { public class LuxuryCar extends CarDecorator { public SportsCar(Car c) { public LuxuryCar(Car c) { super(c); super(c); } } @Override @Override public void assemble(){ public void assemble(){ car.assemble(); car.assemble(); System.out.print(" Adding features of System.out.print(" Adding features of Sports Car."); Luxury Car."); } } } } Decorator : Answer Contd. public class DecoratorPatternClass { public void createCar() { Car sportsCar = new SportsCar(new BasicCar()); sportsCar.assemble(); Car sportsLuxuryCar = new SportsCar(new LuxuryCar(new BasicCar())); sportsLuxuryCar.assemble(); } } Mediator Pattern Consider an air traffic controller • Many planes circle an airport.