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From Code Complexity Metrics to Program Comprehension: Understanding code depends not only on the code but also on the brain.

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Bibliographische Detailangaben
Titel:	From Code Complexity Metrics to Program Comprehension: Understanding code depends not only on the code but also on the brain.
Autoren:	FEITELSON, DROR G.
Quelle:	Communications of the ACM; May2023, Vol. 66 Issue 5, p52-61, 10p, 2 Color Photographs, 1 Diagram, 6 Charts, 2 Graphs
Schlagwörter:	SOURCE code, COMPREHENSION, COGNITION, COMPUTER software development, SOFTWARE measurement, COMPUTER software developers
Abstract:	The author presents information about code complexity and understanding. Information is presented on code complexity metrics and consequences. Examples of research performed to examine the way developers think about and comprehend other developer’s coding is presented. The article mentions the need to develop better ways of understanding code-developer interactions in order to best support developers in their work.
Datenbank:	Complementary Index

Beschreibung
Abstract:	The author presents information about code complexity and understanding. Information is presented on code complexity metrics and consequences. Examples of research performed to examine the way developers think about and comprehend other developer’s coding is presented. The article mentions the need to develop better ways of understanding code-developer interactions in order to best support developers in their work.
ISSN:	00010782
DOI:	10.1145/3546576