Title | ||
---|---|---|
Evaluating Essential and Accidental Code Complexity Triggers by Practitioners’ Perception |
Abstract | ||
---|---|---|
Code complexity determines the difficulty of understanding code. Survey results show that many elements influence complexity, most of which are accidental and can be removed. Meanwhile, several elements captured by the traditional complexity metrics have a small influence on complexity. Code complexity has been one of the most researched subjects in software engineering and one of the most measured properties of software. |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/MS.2020.2976072 | IEEE Software |
Keywords | DocType | Volume |
Code complexity,software metrics,code quality,maintainability,code readability | Journal | 37 |
Issue | ISSN | Citations |
6 | 0740-7459 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vard Antinyan | 1 | 11 | 4.00 |