Mouna Hadj-Kacem

According to our database, Mouna Hadj-Kacem authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Multi-label learning for identifying co-occurring class code smells.

Mouna Hadj-Kacem, Nadia Bouassida

Computing, August, 2024

Application of Deep Learning for Code Smell Detection: Challenges and Opportunities.

Mouna Hadj-Kacem, Nadia Bouassida

SN Comput. Sci., June, 2024

2022

A multi-label classification approach for detecting test smells over java projects.

Mouna Hadj-Kacem, Nadia Bouassida

J. King Saud Univ. Comput. Inf. Sci., 2022

2019

Deep Representation Learning for Code Smells Detection using Variational Auto-Encoder.

Mouna Hadj-Kacem, Nadia Bouassida

Proceedings of the International Joint Conference on Neural Networks, 2019

Improving the Identification of Code Smells by Combining Structural and Semantic Information.

Mouna Hadj-Kacem, Nadia Bouassida

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Towards a Taxonomy of Bad Smells Detection Approaches.

Mouna Hadj-Kacem, Nadia Bouassida

Proceedings of the 13th International Conference on Software Technologies, 2018

A Hybrid Approach To Detect Code Smells using Deep Learning.

Mouna Hadj-Kacem, Nadia Bouassida

Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering, 2018