Diana-Lucia Miholca

According to our database, Diana-Lucia Miholca authored at least 17 papers between 2015 and 2023.

Collaborative distances:

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

2023

On the Relevance of Graph2Vec Source Code Embeddings for Software Defect Prediction.

Diana-Lucia Miholca, Zsuzsanna Onet-Marian

Proceedings of the Software Technologies - 18th International Conference, 2023

Source-Code Embedding-Based Software Defect Prediction.

Diana-Lucia Miholca, Zsuzsanna Onet-Marian

Proceedings of the 18th International Conference on Software Technologies, 2023

2022

An in-Depth Analysis of the Software Features' Impact on the Performance of Deep Learning-Based Software Defect Predictors.

Diana-Lucia Miholca, Vlad-Ioan Tomescu, Gabriela Czibula

IEEE Access, 2022

2021

New Conceptual Cohesion Metrics: Assessment for Software Defect Prediction.

Diana-Lucia Miholca

Proceedings of the 23rd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2021

2020

An analysis of aggregated coupling's suitability for software defect prediction.

Diana-Lucia Miholca, Zsuzsanna Onet-Marian

Proceedings of the 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2020

COMET: A conceptual coupling based metrics suite for software defect prediction.

Diana-Lucia Miholca, Gabriela Czibula, Vlad-Ioan Tomescu

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

2019

An aggregated coupling measure for the analysis of object-oriented software systems.

István Gergely Czibula, Gabriela Czibula, Diana-Lucia Miholca, Zsuzsanna Marian

J. Syst. Softw., 2019

A novel concurrent relational association rule mining approach.

Gabriela Czibula, István Gergely Czibula, Diana-Lucia Miholca, Liana Maria Crivei

Expert Syst. Appl., 2019

Software Defect Prediction Using a Hybrid Model Based on Semantic Features Learned from the Source Code.

Diana-Lucia Miholca, Gabriela Czibula

Proceedings of the Knowledge Science, Engineering and Management, 2019

<i>DynGRAR: </i> A dynamic approach to mining gradual relational association rules.

Diana-Lucia Miholca, Gabriela Czibula

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

2018

A novel approach for software defect prediction through hybridizing gradual relational association rules with artificial neural networks.

Diana-Lucia Miholca, Gabriela Czibula, István Gergely Czibula

Inf. Sci., 2018

An Improved Approach to Software Defect Prediction using a Hybrid Machine Learning Model.

Diana-Lucia Miholca

Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018

A new incremental relational association rules mining approach.

Diana-Lucia Miholca, Gabriela Czibula, Liana Maria Crivei

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

2017

An Unsupervised Learning Based Conceptual Coupling Measure.

Diana-Lucia Miholca, Gabriela Czibula, Zsuzsanna Marian, István Gergely Czibula

Proceedings of the 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2017

Detecting depression from fMRI using relational association rules and artificial neural networks.

Diana-Lucia Miholca, Adrian Onicas

Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

2016

Machine Learning Based Approaches for Sex Identification in Bioarchaeology.

Diana-Lucia Miholca, Gabriela Czibula, Ioan-Gabriel Mircea, István Gergely Czibula

Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2016

2015

Instance based learning approaches for predicting the height of human skeletons.

Vlad-Sebastian Ionescu, Ioan-Gabriel Mircea, Diana-Lucia Miholca, Gabriela Czibula

Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015