Design patterns in software engineering article




















Typically, there are many more tasks than threads. Can be considered a special case of the object pool pattern. It contains the following sections: Pattern Name and Classification: A descriptive and unique name that helps in identifying and referring to the pattern.

Intent: A description of the goal behind the pattern and the reason for using it. Also Known As: Other names for the pattern. Motivation Forces : A scenario consisting of a problem and a context in which this pattern can be used. Applicability: Situations in which this pattern is usable; the context for the pattern. Structure: A graphical representation of the pattern. Class diagrams and Interaction diagrams may be used for this purpose. Participants: A listing of the classes and objects used in the pattern and their roles in the design.

Collaboration: A description of how classes and objects used in the pattern interact with each other. Consequences: A description of the results, side effects, and trade offs caused by using the pattern. Implementation: A description of an implementation of the pattern; the solution part of the pattern. Sample Code: An illustration of how the pattern can be used in a programming language.

Known Uses: Examples of real usages of the pattern. Related Patterns: Other patterns that have some relationship with the pattern; discussion of the differences between the pattern and similar patterns. Panel on design methodology. Ward cautioned against requiring too much programming at, what he termed, 'the high level of wizards. He proposed a 'radical shift in the burden of design and implementation' basing the new methodology on an adaptation of Christopher Alexander's work in pattern languages and that programming-oriented pattern languages developed at Tektronix has significantly aided their software development efforts.

Retrieved CiteSeerX C Books from O'Reilly Media. If you want to speed up the development of your. NET applications, you're ready for C design patterns -- elegant, accepted and proven ways to tackle common programming problems. IEEE Computer. University of Helsinki, Dept. Software Engineering Institute.

Design Pattern Library'. Archived from the original on Code Complete 2nd ed. Microsoft Press. Table 5. Martin, Robert Extension object'. Effective Java Second edition. Professional C Design Patterns in Dynamic Languages.

Design pattern implementation in Java and AspectJ. Revenge of the Nerds. New York: Oxford University Press. Beck, Kent October Implementation Patterns. Beck, Kent; Crocker, R. March Proceedings of the 18th International Conference on Software Engineering. Borchers, Jan A Pattern Approach to Interaction Design. Coplien, James O. Pattern Languages of Program Design. Pattern Languages of Program Design 2. Analysis Patterns: Reusable Object Models.

Beyond Software Architecture. Gabriel, Richard Oxford University Press. Archived from the original PDF on Holub, Allen Holub on Patterns. Larman, Craig Applying UML and Patterns. Liskov, Barbara; Guttag, John Pattern Languages of Program Design 5. Marinescu, Floyd In the real world, however, this is much harder to do than the opposite—that is, aggregating distinct responsibilities in the same class.

Coupling measures the level of dependency existing between two software modules, such as classes, functions, or libraries. Two modules, A and B, are said to be coupled when it turns out that you have to make changes to B every time you make any change to A.

In other words, B is not directly and logically involved in the change being made to module A. They are definitely allowed to communicate, but they should do that through a set of well-defined and stable interfaces.

Conversely, high coupling hinders testing and reusing code and makes understanding it nontrivial. It is also one of the primary causes of a rigid and fragile design.

Low coupling and high cohesion are strongly correlated. A system designed to achieve low coupling and high cohesion generally meets the requirements of high readability, maintainability, easy testing, and good reuse.

Introduced to support a structured design, cohesion and coupling are basic design principles not specifically related to object orientation. A good object-oriented design, in fact, is characterized by low coupling and high cohesion, which means that self-contained objects high cohesion are interacting with other objects through a stable interface low coupling.

But is there a supermarket where you can get both? How do you achieve high cohesion and low coupling in the design of a software system? A principle that is helpful to achieving high cohesion and low coupling is separation of concerns SoC , introduced in by Edsger W. SoC is all about breaking the system into distinct and possibly nonoverlapping features. Each feature you want in the system represents a concern and an aspect of the system.

Terms such as feature, concern, and aspect are generally considered synonyms. SoC suggests that you focus on one particular concern at a time. From the perspective of that module, any other concerns are irrelevant. Things changed in the late s when aspect-oriented programming AOP entered the industry. SoC is concretely achieved through using modular code and making heavy use of information hiding. Modular programming encourages the use of separate modules for each significant feature.

Modules are given their own public interface to communicate with other modules and can contain internal chunks of information for private use. Only members in the public interface are visible to other modules. Internal data is either not exposed or it is encapsulated and exposed in a filtered manner.

The implementation of the interface contains the behavior of the module, whose details are not known or accessible to other modules. Information hiding IH is a general design principle that refers to hiding behind a stable interface some implementation details of a software module that are subject to change.

In this way, connected modules continue to see the same fixed interface and are unaffected by changes. A typical application of the information-hiding principle is the implementation of properties in C or Microsoft Visual Basic.

NET classes. See the following code sample. The property name represents the stable interface through which callers refer to an internal value. The class can obtain the value in various ways for example, from a private field, a control property, a cache, the view state in ASP. NET and can even change this implementation detail without breaking external code. Information hiding is often referred to as encapsulation. We like to distinguish between the principle and its practical applications.

In the realm of object-oriented programming, encapsulation is definitely an application of IH. Generally, though, the principle of SoC manifests itself in different ways in different programming paradigms, and so it is for modularity and information hiding. The first programming paradigm that historically supported SoC was Procedural Programming PP , which we find expressed in languages such as Pascal and C.

In PP, you separate concerns using functions and procedures. NET—you separate concerns using classes. It also transcends the realm of pure programming and is central in many approaches to software architecture.

In a service-oriented architecture SOA , for example, you use services to represent concerns. In the preceding section, we basically went back over 40 years of computer science, and the entire sector of software engineering. In Chapter 7. You really understand the meaning of the word principle if you look at how SoC influenced, and still influences, the development of software. And we owe this principle to a great man who passed away in Edsger W.

We mention this out of respect for this man. When the implementation of a line-of-business application is expected to take several months to complete and the final application is expected to remain up and running for a few years, it is quite reasonable to expect that many different people will work on the project over time.

With such significant personnel turnover in sight, you must pay a lot of attention to system characteristics such as readability and maintainability. To ensure that the code base is manageable as well as easily shared and understood, a set of common programming rules and conventions should be used.

Applied all the way through, common naming conventions, for example, make the whole code base look like it has been written by a single programmer rather than a very large group of people. The most popular naming convention is Hungarian Notation HN.

Not specifically bound to a programming language, HN became quite popular in the mids, as it was largely used in many Microsoft Windows applications, especially those written directly against the Windows Software Development Kit SDK.

HN puts the accent on the type of the variable, and it prefixes the variable name with a mnemonic of the type. For example, szUserName would be used for a zero-terminated string that contains a user name, and iPageCount would be used for an integer that indicates the number of pages.

Created to make each variable self-explanatory, HN lost most of its appeal with the advent of object-oriented languages. In object-oriented languages, everything is an object, and putting the accent on the value, rather than the type, makes much more sense. So you choose variable names regardless of the type and look only at the value they are expected to contain. The choice of the variable name happens in a purely evocative way.

Therefore, valid names are, for example, customer , customerID , and lowestPrice. Finally, an argument against using HN is that a variable name should be changed every time the type of the variable changes during development.

Computer Science Subjects. GATE QUIZ Section. GeeksforGeeks Initiatives. Design patterns are used to represent some of the best practices adapted by experienced object-oriented software developers. A design pattern systematically names, motivates, and explains a general design that addresses a recurring design problem in object-oriented systems.

It describes the problem, the solution, when to apply the solution, and its consequences. It also gives implementation hints and examples.



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