LORM.xsl:74-95: Implement natural language processing...

[0pdd]

The puzzle 112-f7b740c5 from #112 has to be resolved:

jpeek/src/main/resources/org/jpeek/metrics/LORM.xsl

Lines 74 to 95 in 18efdff

	@todo #112:30min Implement natural language processing techniques to analyze
	conceptual similarity of methods. Two methods have a `conceptual-relation`
	if they contain at least one same `concept`. `concepts` are identified by
	semantic processing of the class/method, as being associated in the
	knowledge-base with that class/method (original paper in
	/papers/etzkorn00.pdf). The original paper does not explicitly define the
	implementation of semantic processing, or which NLP methods are being used,
	but it is a knowledge-based system, which means that additional input must
	inserted into the LORM method - that is, a set of possible concepts -
	which are then recognized in a particular method/piece of code. This set of
	possible concepts depends on the `domain` that the class is in.
	One way of interpreting what the `domain` is (this is not defined in the
	original paper), is the business domain the class is used for. Another
	definition of `domain` also comes to mind - the programming language being
	used. Concepts could be defined as all reserved Java keywords and "semantic
	processing" recognizes which reserved keywords are used in a particular
	method. Hence, if two methods use same reserved keywords, they have a
	`conceptual-relation`. Using this definition would require no additional
	input by the user of the LORM method. Right now it is stubbed because
	NLP/semantic processing is not implemented yet.k
	Ensure that JPeek core implements these techniques, collects information on
	such relations and unstub the lines commented below.

The puzzle was created by @yegor256 on 05-Feb-21.

Estimate: 30 minutes, role: DEV.

If you have any technical questions, don't ask me, submit new tickets instead. The task will be "done" when the problem is fixed and the text of the puzzle is removed from the source code. Here is more about PDD and about me.