| 2023 | ICSoft | Source-Code Embedding-Based Software Defect Prediction. | Diana-Lucia Miholca, Zsuzsanna Onet-Marian |
| 2023 | ICSoft | On the Relevance of Graph2Vec Source Code Embeddings for Software Defect Prediction. | Diana-Lucia Miholca, Zsuzsanna Onet-Marian |
| 2021 | SYNASC | New Conceptual Cohesion Metrics: Assessment for Software Defect Prediction. | Diana-Lucia Miholca |
| 2020 | KES | COMET: A conceptual coupling based metrics suite for software defect prediction. | Diana-Lucia Miholca, Gabriela Czibula, Vlad-Ioan Tomescu |
| 2020 | SYNASC | An analysis of aggregated coupling's suitability for software defect prediction. | Diana-Lucia Miholca, Zsuzsanna Onet-Marian |
| 2019 | KES | Untitled record | Diana-Lucia Miholca, Gabriela Czibula |
| 2019 | KSEM | Software Defect Prediction Using a Hybrid Model Based on Semantic Features Learned from the Source Code. | Diana-Lucia Miholca, Gabriela Czibula |
| 2018 | KES | A new incremental relational association rules mining approach. | Diana-Lucia Miholca, Gabriela Czibula, Liana Maria Crivei |
| 2018 | SYNASC | An Improved Approach to Software Defect Prediction using a Hybrid Machine Learning Model. | Diana-Lucia Miholca |
| 2017 | SYNASC | An Unsupervised Learning Based Conceptual Coupling Measure. | Diana-Lucia Miholca, Gabriela Czibula, Zsuzsanna Marian, Istvn Gergely Czibula |
| 2016 | SYNASC | Machine Learning Based Approaches for Sex Identification in Bioarchaeology. | Diana-Lucia Miholca, Gabriela Czibula, Ioan-Gabriel Mircea, Istvn Gergely Czibula |