Are you still smelling it?-Reference-Cited by-同舟云学术

Are you still smelling it?

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the VII Brazilian Symposium on Software Components, Architectures, and Reuse on - SBCARS '18
language:
Short-container-title:

Author:

Flauzino Matheus¹,Veríssimo Júlio¹,Terra Ricardo¹,Cirilo Elder²,Durelli Vinicius H. S.²,Durelli Rafael S.¹

Affiliation:

1. Federal University of Lavras, Lavras-MG, Brazil

2. Federal University of São João del Rei, São João del Rei-MG, Brazil

Publisher

ACM Press

Reference42 articles.

1. Luis Cruz, Rui Abreu, and Jean-Noël Rouvignac. 2017. Leafactor: Improving Energy Efficiency of Android Apps via Automatic Refactoring. In 4th International Conference on Mobile Software Engineering and Systems (MOBILESoft). 205--206.

2. Francesca Arcelli Fontana, Pietro Braione, and Marco Zanoni. 2012. Automatic detection of bad smells in code: An experimental assessment. Journal of Object Technology 11, 2 (2012), 5--10.

3. Francesca Arcelli Fontana, Marco Zanoni, Alessandro Marino, and Mika V. Mäntylä. 2013. Code Smell Detection: Towards a Machine Learning-Based Approach. In 29th International Conference on Software Maintenance (ICSM). 396--399.

4. Martin Fowler, Kent Beck, John Brant, William Opdyke, and Don Roberts. 1999. Refactoring: Improving the Design of Existing Code. Addison-Wesley.

5. Shizhe Fu and Beijun Shen. 2015. Code Bad Smell Detection through Evolutionary Data Mining. In 9th International Symposium on Empirical Software Engineering and Measurement (ESEM). 1--9.

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Understanding the quality and evolution of Android app build systems;Journal of Software: Evolution and Process;2023-08-06

2. A systematic literature review on Android-specific smells;Journal of Systems and Software;2023-07

3. Comparing the understandability of iteration mechanisms over Collections in Java;Foundations of Computing and Decision Sciences;2023-03-01

4. Learning migration models for supporting incremental language migrations of software applications;Information and Software Technology;2023-01

5. Mapping Modern JVM Language Code to Analysis-Friendly Graphs: A Study with Kotlin;International Journal of Software Engineering and Knowledge Engineering;2022-11