Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
10-2017
Abstract
Code smells are symptoms of poor design and implementation choices that may hinder code comprehension, and possibly increase change-and defect-proneness. A vast catalogue of smells has been defined in the literature, and it includes smells that can be found in any kind of system (e.g., God Classes), regardless of their architecture. On the other hand, software systems adopting specific architectures (e.g., the Model-View-Controller pattern) can be also affected by other types of poor practices. We surveyed and interviewed 53 MVC developers to collect bad practices to avoid while working on Web MVC applications. Then, we followed an open coding procedure on the collected answers to define a catalogue of six Web MVC smells, namely Brain Repository, Fat Repository, Promiscuous Controller, Brain Controller, Laborious Repository Method, and Meddling Service. Then, we ran a study on 100 MVC projects to assess the impact of these smells on code change-and defect-proneness. In addition, we surveyed 21 developers to verify their perception of the defined smells. The achieved results show that the Web MVC smells (i) more often than not, increase change-and defect-proneness of classes, and (ii) are perceived by developers as severe problems.
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Proceedings of the 32nd International Conference on Software Maintenance and Evolution, Raleigh, NC, USA, 2016 October 2-7
First Page
233
Last Page
243
ISBN
9781509038060
Identifier
10.1109/ICSME.2016.12
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
ANICHE, Maurício; BAVOTA, Gabriele; TREUDE, Christoph; VAN DEURSEN, Arie; and GEROSA, Marco Aurélio.
A validated set of smells in model-view-controller architectures. (2017). Proceedings of the 32nd International Conference on Software Maintenance and Evolution, Raleigh, NC, USA, 2016 October 2-7. 233-243.
Available at: https://ink.library.smu.edu.sg/sis_research/8830
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/ICSME.2016.12