The concept of coupling embodies the reliability and dependability (strength) among all relationships between functional units.
The concept of software portability is the usability of same components/software in different environments.
For optimal software, it is generally the case where coupling has to be minimized and portability has to be maximized (for sustainability and effectiveness in the long run). Having said that, strong software that contains low levels of coupling could easily and efficiently is portable. Similarly, if the software is portable it is probably due to the low levels of coupling that it has.
Think of these as LEGO pieces. If you want a working building, then all those nooks and crannies should not be visible (implying some coupling). That means that they should be stuck together pretty tightly (coupling). At the same time, if you want to remove a part of your structure like a room or a floor, then the tightness of your pieces (coupling) shouldn't be as strong. Ultimately, your structures portability is only dependent on the tightness of the pieces.
Coupling refers to the degree of interdependence between software components, while portability relates to a system’s ability to run on different platforms or environments. High coupling often restricts portability, as tightly interconnected components may rely on specific platform features or configurations. Conversely, low coupling promotes greater portability, allowing components to function independently across various systems. Thus, reducing coupling can enhance a system’s adaptability and ease of migration to new environments.
control coupling content coupling common coupling data coupling external coupling message coupling
portability.
Portability analysis is the process of evaluating software or applications to determine how easily they can be transferred from one system or environment to another. This assessment involves identifying dependencies, compatibility issues, and potential challenges in migrating the software to a different platform or operating system. The goal of portability analysis is to ensure that the software can be seamlessly integrated into new environments without disruptions.
Dependency injections are needed for software in order to reduce the coupling between software components. I hope that answers your question and thoughts.
Coupling is a measure of the relationship or dependency between two modules. Data Coupling occurs between two modules when data is passed by parameters using a simple argument list and every item in the list is used.
Coupling and coherence are measured using various metrics in software engineering. Coupling refers to the degree of interdependence between modules, often assessed through metrics like the number of dependencies or the strength of interactions between components. Coherence, on the other hand, reflects how closely related the responsibilities of a module are, typically measured by cohesion metrics such as the Lack of Cohesion in Methods (LCOM) or by evaluating the module's functional similarity. Together, these metrics help assess the quality and maintainability of software systems.
Coupling within a software system is the degree to which to which each module relies on other modules cohesion is the measure of a sub systems internal interdependence
There should be low dependence and high interaction between the modules. The dependence should be low so that the module can work in absence of another module. So, there should be low coupling ad high cohesion in software design.
There are many like flexible coupling, jaw coupling, sleeve coupling, tire coupling, pin and bush coupling, rigid coupling, etc
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Strong cohesion ensures that components within a software system are closely related in functionality, making them easier to understand, test, and modify. Weak coupling minimizes dependencies between these components, allowing changes to be made in one part of the system without significantly impacting others. Together, these principles enhance maintainability by simplifying the process of updating and debugging the system, as well as facilitating easier integration of new features or components. This leads to a more robust and adaptable software architecture.