As I understood correctly, in the field of computer science, there is no "standard notation" in scientific publications for explaining various aspects of a computer system. Even though in each discipline there exist some conventions for denoting various elements in the system (e.g., in networking and communication, usually N
refers to a node and T
is time, etc.), for them to be used in a scientific paper, usually one needs to define them in the paper anyways.
My question here is that, how can I properly continue using an already available and well-defined set of notations, terminologies, and the system model from an already published article in my new paper such that I don't require to re-define or explain them?
To provide a specific example, in this paper I defined a set of notations as well s a system model. If I want to continue using the same notations and system model in my new paper, how can I properly cite it in my current paper and skip re-explaining them without making potential confusion for reviewers?
A real example (with links) would be much appreciated so that I can discuss them with my co-authors.
Update 1: As stated by @DaveLRenfro and @Anyon in the comments, it looks like a common practice in the field of mathematics and physics to refer to a previously published paper for terminologies and notations. This question, though, is concerning more on a similar practice in the field of computer science.
Update 2: Providing evidence regarding reusing terminology, notation, and system models in any academic paper in the field of computer science would be highly appreciated.
Update 3: There are mixed opinions about re-using terminologies from another paper, but in this case, I believe it's preferable to do so as it's in line with the paper that I want to borrow terminologies and more importantly notations from.
Update 4: As discussed in the comments (now moved in the chat), there are over 3 dozens hits in Google scholar for the phrase "for terms not defined in this paper" but almost all of them are either related to the field of mathematics or physics.