Diana-Lucia Miholca

Orcid: 0000-0002-3832-7848

According to our database1, Diana-Lucia Miholca authored at least 17 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
On the Relevance of Graph2Vec Source Code Embeddings for Software Defect Prediction.
Proceedings of the Software Technologies - 18th International Conference, 2023

Source-Code Embedding-Based Software Defect Prediction.
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.
IEEE Access, 2022

2021
New Conceptual Cohesion Metrics: Assessment for Software Defect Prediction.
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.
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.
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.
J. Syst. Softw., 2019

A novel concurrent relational association rule mining approach.
Expert Syst. Appl., 2019

Software Defect Prediction Using a Hybrid Model Based on Semantic Features Learned from the Source Code.
Proceedings of the Knowledge Science, Engineering and Management, 2019

<i>DynGRAR: </i> A dynamic approach to mining gradual relational association rules.
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.
Inf. Sci., 2018

An Improved Approach to Software Defect Prediction using a Hybrid Machine Learning Model.
Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018

A new incremental relational association rules mining approach.
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.
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.
Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

2016
Machine Learning Based Approaches for Sex Identification in Bioarchaeology.
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.
Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015


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