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Tools that analyze source code to aid code comprehension, such as finding the definition and references of a symbol, call stack browsers, etc. While most IDEs provide similar functionality, these tools are standalone and often support a wider variety of languages.
Semantic mapping or semantic webbing, in literacy, is a method of teaching reading using graphical representations of concepts and the relationships between them. [ 1 ] [ 2 ] See also
Reading comprehension and vocabulary are inextricably linked together. The ability to decode or identify and pronounce words is self-evidently important, but knowing what the words mean has a major and direct effect on knowing what any specific passage means while skimming a reading material.
Program comprehension (also program understanding or [source] code comprehension) is a domain of computer science concerned with the ways software engineers maintain existing source code. The cognitive and other processes involved are identified and studied. [1] The results are used to develop tools and training. [2]
The simple view of reading is that reading is the product of decoding and language comprehension. In this context, “reading” refers to “reading comprehension”, “decoding” is simply recognition of written words [1] and “language comprehension” means understanding language, whether spoken or written.
Constraint-based theories of language comprehension [6] emphasize how people make use of the vast amount of probabilistic information available in the linguistic signal. Through statistical learning , [ 7 ] the frequencies and distribution of events in linguistic environments can be picked upon, which inform language comprehension.
Code Reading (ISBN 0-201-79940-5) is a 2003 software development book written by Diomidis Spinellis. The book is directed to programmers who want to improve their code reading abilities. It discusses specific techniques for reading code written by others and outlines common programming concepts.
Here, the list [0..] represents , x^2>3 represents the predicate, and 2*x represents the output expression.. List comprehensions give results in a defined order (unlike the members of sets); and list comprehensions may generate the members of a list in order, rather than produce the entirety of the list thus allowing, for example, the previous Haskell definition of the members of an infinite list.