Publication
Title
Mutant density : a measure of fault-sensitive complexity
Author
Abstract
Software code complexity is a well-studied property to determine software component health. However, the existing code complexity metrics do not directly take into account the fault-proneness aspect of the code. We propose a metric called mutant density where we use mutation as a method to introduce artificial faults in code, and count the number of possible mutations per line. We show how this metric can be used to perform helpful analysis of real-life software projects.
Language
English
Source (book)
ICSEW'20 : proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops, June, 2020, Seoul, Republic of Korea
Publication
2020
ISBN
978-1-4503-7963-2
DOI
10.1145/3387940.3392210
Volume/pages
p. 742-745
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Next level mutation testing: fewer, smarter & faster (NEXT-O-TEST).
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 13.10.2020
Last edited 17.06.2024
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