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Model-View-Controller

Model-View-Controller (MVC) is a software architectural pattern commonly used in designing and implementing user interfaces and applications. It separates an Application into three interconnected components: the Model, the view, and the controller. MVC promotes the separation of concerns, modularity, and reusability, making it easier to maintain and evolve software systems.

Understanding Model-View-Controller (MVC)

Components of MVC

  1. Model: The model represents the data and business logic of the application. It encapsulates the application’s state and behavior, handling data manipulation, validation, and storage. The model responds to requests from the controller, updates its state accordingly, and notifies the view of any changes.
  2. View: The view is responsible for presenting the user interface and visualizing the data provided by the model. It displays information to users, such as text, images, and interactive elements, and captures user input events, forwarding them to the controller for processing. Views are typically decoupled from the underlying data and logic, allowing for flexible and customizable user interfaces.
  3. Controller: The controller acts as an intermediary between the model and the view, handling user input, user interactions, and application flow. It receives input from users through the view, interprets these inputs, and invokes appropriate actions on the model to update its state. The controller also updates the view based on changes in the model and communicates user feedback or notifications.

Interaction Flow in MVC

  • User interactions begin with input events captured by the view component, such as button clicks, form submissions, or mouse movements.
  • The view forwards these input events to the controller, which interprets them and determines the corresponding actions to be taken.
  • The controller interacts with the model to update its state or retrieve data based on the user’s input.
  • Upon updating the model, the controller notifies the view of any changes, triggering updates to the user interface to reflect the updated data or state.
  • The updated view is then presented to the user, completing the interaction cycle.

Advantages of MVC

Separation of Concerns

  • MVC separates the application into distinct components, each with its own responsibilities and concerns. This separation facilitates modular design, promotes code organization, and improves maintainability by isolating changes to specific components.

Reusability and Modularity

  • MVC promotes code reusability by decoupling the presentation logic (view) from the application logic (controller) and the data logic (model). This allows developers to reuse views and controllers across multiple parts of the application, enhancing development efficiency and consistency.

Testability

  • The separation of concerns in MVC makes it easier to test individual components in isolation. Developers can write unit tests for models, views, and controllers independently, ensuring that each component behaves as expected and can be tested in isolation from the rest of the system.

Implementations and Variants of MVC

Traditional MVC

  • In traditional MVC, the controller is responsible for coordinating the interactions between the model and the view. Views observe changes in the model and update themselves accordingly, while controllers handle user input and modify the model’s state.

Model-View-Presenter (MVP)

  • MVP is a variant of MVC where the presenter acts as an intermediary between the model and the view, similar to the controller in MVC. The presenter receives input from the view, interacts with the model, and updates the view accordingly. This pattern is commonly used in GUI frameworks and desktop applications.

Model-View-ViewModel (MVVM)

  • MVVM is another variant of MVC, popularized by frameworks such as AngularJS and Vue.js. In MVVM, the view model serves as an abstraction of the view’s state and behavior, exposing data and operations to the view through data binding. This pattern simplifies UI development and promotes a reactive programming style.

Use Cases and Applications

Web Development

  • MVC is widely used in web development frameworks, such as Ruby on Rails, Django, and ASP.NET MVC, for building scalable, maintainable web applications. Developers leverage MVC’s separation of concerns to structure their codebase, implement RESTful APIs, and deliver dynamic, interactive user experiences.

Desktop and Mobile Applications

  • MVC is applicable to various application domains, including desktop and mobile development. Frameworks like Cocoa MVC for iOS and Android’s MVC architecture provide developers with a structured approach to building native applications with clear separation between UI and business logic.

Conclusion

Model-View-Controller (MVC) is a software architectural pattern that promotes the separation of concerns, modularity, and reusability in software design. By dividing an application into three interconnected components – the model, the view, and the controller – MVC facilitates the development of scalable, maintainable, and testable software systems. Whether in web development, desktop applications, or mobile apps, MVC provides a structured approach to organizing code, handling user interactions, and presenting data to users, making it a valuable pattern for modern software engineering practices.

Connected Thinking Frameworks

Convergent vs. Divergent Thinking

Convergent thinking occurs when the solution to a problem can be found by applying established rules and logical reasoning. Whereas divergent thinking is an unstructured problem-solving method where participants are encouraged to develop many innovative ideas or solutions to a given problem. Where convergent thinking might work for larger, mature organizations where divergent thinking is more suited for startups and innovative companies.

Critical Thinking

Critical thinking involves analyzing observations, facts, evidence, and arguments to form a judgment about what someone reads, hears, says, or writes.

Biases

The concept of cognitive biases was introduced and popularized by the work of Amos Tversky and Daniel Kahneman in 1972. Biases are seen as systematic errors and flaws that make humans deviate from the standards of rationality, thus making us inept at making good decisions under uncertainty.

Second-Order Thinking

Second-order thinking is a means of assessing the implications of our decisions by considering future consequences. Second-order thinking is a mental model that considers all future possibilities. It encourages individuals to think outside of the box so that they can prepare for every and eventuality. It also discourages the tendency for individuals to default to the most obvious choice.

Lateral Thinking

Lateral thinking is a business strategy that involves approaching a problem from a different direction. The strategy attempts to remove traditionally formulaic and routine approaches to problem-solving by advocating creative thinking, therefore finding unconventional ways to solve a known problem. This sort of non-linear approach to problem-solving, can at times, create a big impact.

Bounded Rationality

Bounded rationality is a concept attributed to Herbert Simon, an economist and political scientist interested in decision-making and how we make decisions in the real world. In fact, he believed that rather than optimizing (which was the mainstream view in the past decades) humans follow what he called satisficing.

Dunning-Kruger Effect

The Dunning-Kruger effect describes a cognitive bias where people with low ability in a task overestimate their ability to perform that task well. Consumers or businesses that do not possess the requisite knowledge make bad decisions. What’s more, knowledge gaps prevent the person or business from seeing their mistakes.

Occam’s Razor

Occam’s Razor states that one should not increase (beyond reason) the number of entities required to explain anything. All things being equal, the simplest solution is often the best one. The principle is attributed to 14th-century English theologian William of Ockham.

Lindy Effect

The Lindy Effect is a theory about the ageing of non-perishable things, like technology or ideas. Popularized by author Nicholas Nassim Taleb, the Lindy Effect states that non-perishable things like technology age – linearly – in reverse. Therefore, the older an idea or a technology, the same will be its life expectancy.

Antifragility

Antifragility was first coined as a term by author, and options trader Nassim Nicholas Taleb. Antifragility is a characteristic of systems that thrive as a result of stressors, volatility, and randomness. Therefore, Antifragile is the opposite of fragile. Where a fragile thing breaks up to volatility; a robust thing resists volatility. An antifragile thing gets stronger from volatility (provided the level of stressors and randomness doesn’t pass a certain threshold).

Systems Thinking

Systems thinking is a holistic means of investigating the factors and interactions that could contribute to a potential outcome. It is about thinking non-linearly, and understanding the second-order consequences of actions and input into the system.

Vertical Thinking

Vertical thinking, on the other hand, is a problem-solving approach that favors a selective, analytical, structured, and sequential mindset. The focus of vertical thinking is to arrive at a reasoned, defined solution.

Maslow’s Hammer

Maslow’s Hammer, otherwise known as the law of the instrument or the Einstellung effect, is a cognitive bias causing an over-reliance on a familiar tool. This can be expressed as the tendency to overuse a known tool (perhaps a hammer) to solve issues that might require a different tool. This problem is persistent in the business world where perhaps known tools or frameworks might be used in the wrong context (like business plans used as planning tools instead of only investors’ pitches).

Peter Principle

The Peter Principle was first described by Canadian sociologist Lawrence J. Peter in his 1969 book The Peter Principle. The Peter Principle states that people are continually promoted within an organization until they reach their level of incompetence.

Straw Man Fallacy

The straw man fallacy describes an argument that misrepresents an opponent’s stance to make rebuttal more convenient. The straw man fallacy is a type of informal logical fallacy, defined as a flaw in the structure of an argument that renders it invalid.

Streisand Effect

The Streisand Effect is a paradoxical phenomenon where the act of suppressing information to reduce visibility causes it to become more visible. In 2003, Streisand attempted to suppress aerial photographs of her Californian home by suing photographer Kenneth Adelman for an invasion of privacy. Adelman, who Streisand assumed was paparazzi, was instead taking photographs to document and study coastal erosion. In her quest for more privacy, Streisand’s efforts had the opposite effect.

Heuristic

As highlighted by German psychologist Gerd Gigerenzer in the paper “Heuristic Decision Making,” the term heuristic is of Greek origin, meaning “serving to find out or discover.” More precisely, a heuristic is a fast and accurate way to make decisions in the real world, which is driven by uncertainty.

Recognition Heuristic

The recognition heuristic is a psychological model of judgment and decision making. It is part of a suite of simple and economical heuristics proposed by psychologists Daniel Goldstein and Gerd Gigerenzer. The recognition heuristic argues that inferences are made about an object based on whether it is recognized or not.

Representativeness Heuristic



This post first appeared on FourWeekMBA, please read the originial post: here

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