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Dokumenttyp:
Konferenzbeitrag
Autor(en):
Muñoz Barón, Marvin; Wyrich, Marvin; Wagner, Stefan
Titel:
An Empirical Validation of Cognitive Complexity as a Measure of Source Code Understandability
Abstract:
Background: Developers spend a lot of their time on understanding source code. Static code analysis tools can draw attention to code that is difficult for developers to understand. However, most of the findings are based on non-validated metrics, which can lead to confusion and code that is hard to understand not being identified.Aims: In this work, we validate a metric called Cognitive Complexity which was explicitly designed to measure code understandability and which is already widely used du...     »
Stichworte:
source code understandability, source code comprehension, software metrics, cognitive complexity, meta-analysis
Kongress- / Buchtitel:
Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
Verlag / Institution:
Association for Computing Machinery
Verlagsort:
New York, NY, USA
Jahr:
2020
Print-ISBN:
9781450375801
Serientitel:
ESEM '20
Volltext / DOI:
doi:10.1145/3382494.3410636
WWW:
https://doi.org/10.1145/3382494.3410636
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