An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension
By Marwen Abbes, Foutse Khomh, Yann-Gaël Guéhéneuc, G. Antoniol. European Conference on Software Maintenance and Reengineering, 2011
308 citations recorded by the source corpus.
Subfields: Information Systems, Software
View Paper: https://www.semanticscholar.org/paper/b49d83fac32ed427949662f03eb29f27c259808a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
In Software
Citations in the corpus
- On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation (2017, background): “2017), and whether they impact on software quality properties, such as program comprehensibility (Abbes et al. 2011), fault- and change-proneness (Khomh et al.”
- When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away) (2017, unknown): “[1] studied the impact of two types of code smells, namely Blob and Spaghetti Code, on program comprehension.”