The phrase "application independence" is correct and usable in written English.
It can be used in contexts related to software, programming, or systems design, where the ability to operate without being tied to a specific application is discussed.
Example: "The new software architecture promotes application independence, allowing users to switch between different platforms seamlessly."
Alternatives: "platform agnosticism" or "application neutrality".
However, the implementation of a component suffers from high interaction complexities in the component that seriously degrades the application independence.
Developing the ontology for vulnerability assessments was guided mainly by five development principles: application independence, natural language independence, orthogonality, scalability, and community involvement (Raskin and Pan 2005).
It is also a generic part of the process of knowledge generation in the domain itself, which in turn challenges the principle of application independence.
During the process of developing the ontology for vulnerability assessments and implementing it in a semantic wiki, a number of challenges were faced in terms of the principles of ontology creation (Raskin and Pan 2005) used for guidance (see Sect. 2.2): natural language independence, application independence, orthogonality, scalability, and community involvement.
Due to the principle of scalability and due to our selection and interpretation of the initial assessments, and also due to the principles of natural language and application independence, the ontology developed here may not satisfy the representation of concepts and their interrelations as used in the strict perspective or technical jargon of one discipline.
I understand that in this application, independence between mother and daughter lifetimes is assumed.
The principle "application-independence" means that "the structure and contents of an ontology should be based upon the inherent knowledge of the discipline, rather than on how the domain knowledge is used" (Raskin and Pan 2005, p. 1121).
A new type of data independence, called scale independence, seeks to address this challenge by guaranteeing a bounded amount of work is required to execute all queries in an application, independent of the size of the underlying data.
The three primary criteria when evaluating applications are independence of thought, purposeful leadership and a civic mindset.
The constraints imposed on the phoneme recogniser (PR) for this application are speaker independence, task independence and low latency.
