A New Component Selection Algorithm Based on Metrics and Fuzzy Clustering Analysis. - Camelia Serban; Andreea Vescan; Horia F. Pop (HAIS, 2009)

A Conceptual Framework for Object-oriented Design Assessment. - Camelia Serban (EMS, 2010)

Improving Software Quality Using an Ontology-Based Approach. - Simona Motogna; Ioana Ciuciu; Camelia Serban; Andreea Vescan (OTM Workshops, 2015)

An approach to assess maintainability change. - Simona Motogna; Andreea Vescan; Camelia Serban; Paul Tirban (AQTR, 2016)

A Fuzzy-Based Approach for the Multilevel Component Selection Problem. - Andreea Vescan; Camelia Serban (HAIS, 2016)

Requirement dependencies-based formal approach for test case prioritization in regression testing. - Andreea Vescan; Camelia Serban; Camelia Chisalita-Cretu; Laura Diosan (ICCP, 2017)

Multilevel component selection optimization toward an optimal architecture. - Andreea Vescan; Camelia Serban (Soft Comput., 2017)

Does Cyclic Learning have Positive Impact on Teaching Object-Oriented Programming? - Virginia Niculescu; Camelia Serban; Andreea Vescan (FIE, 2019)

Predicting reliability by severity and priority of defects. - Camelia Serban; Andreea Vescan (SQUADE@ESEC/SIGSOFT FSE, 2019)

Advances in designing a student-centered learning process using cutting-edge methods, tools, and artificial intelligence: an e-learning platform. - Camelia Serban; Andreea Vescan (EASEAI@ESEC/SIGSOFT FSE, 2019)

Attaining competences in software quality oriented design based on cyclic learning. - Camelia Serban; Virginia Niculescu; Andreea Vescan (FIE, 2020)

Towards an Evaluation Process around Active Learning based Methods. - Camelia Serban; Andreea Vescan (FIE, 2020)

Towards a new Test Case Prioritization Approach based on Fuzzy Clustering Analysis. - Andreea Vescan; Camelia Serban (ICSME, 2020)

QLearn: Towards a framework for smart learning environments. - Camelia Serban; Lungu Ioan (KES, 2020)

Software reliability prediction using package level modularization metrics. - Camelia Serban; Mohsin Shaikh (KES, 2020)

Alexa, What classes do I have today? The use of Artificial Intelligence via Smart Speakers in Education. - Camelia Serban; Ioana-Alexandra Todericiu (KES, 2020)

Towards a Reliability Prediction Model based on Internal Structure and Post-Release Defects Using Neural Networks. - Andreea Vescan; Camelia Serban; Alisa-Daniela Budur (EASE, 2021)

Towards a Neural Network based Reliability Prediction Model via Bugs and Changes. - Camelia Serban; Andreea Vescan (ICSOFT, 2021)

Software Defects Rules Discovery. - Andreea Vescan; Camelia Serban; Gloria Cerasela Crisan (ICST Workshops, 2021)

On the use of evolutionary algorithms for test case prioritization in regression testing considering requirements dependencies. - Andreea Vescan; Camelia Chisalita-Cretu; Camelia Serban; Laura Diosan (AISTA@ISSTA, 2021)

Towards Accessibility in Education through Smart Speakers. An ontology based approach. - Ioana-Alexandra Todericiu; Camelia Serban; Laura Diosan (KES, 2021)

Students perception on the impact of their involvement in the learning process: an empirical study. - Ioana-Alexandra Todericiu; Camelia Serban; Andreea Vescan (EASEAI@ESEC/SIGSOFT FSE, 2021)

Towards an Overhead Estimation Model for Multithreaded Parallel Programs. - Virginia Niculescu; Camelia Serban; Andreea Vescan (ENASE, 2022)

A New Metric for Multithreaded Parallel Programs Overhead Time Prediction. - Virginia Niculescu; Camelia Serban; Andreea Vescan (ENASE (Selected Papers), 2022)

A Hybrid Complexity Metric in Automatic Software Defects Prediction. - Laura Diana Cernau; Laura Diosan; Camelia Serban (ICSOFT, 2022)

A pedagogical approach in interleaving software quality concerns at an artificial intelligence course. - Laura Diana Cernau; Laura-Silvia Diosan; Camelia Serban (EASEAI@ESEC/SIGSOFT FSE, 2022)

Mining sorting concept across curriculum levels: a cyclic learning based approach. - Mariana Maier; Camelia Serban; Andrei Moisin (EASEAI@ESEC/SIGSOFT FSE, 2022)

Report from the 3rd Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '21). - Julie Henry; Upsorn Praphamontripong; Camelia Serban; Andreea Vescan (ACM SIGSOFT Softw. Eng. Notes, 2022)

Computational intelligence in software defects rules discovery. - Andreea Vescan; Camelia Serban; Gloria Cerasela Crisan (Soft Comput., 2022)

Closer: A Tool Support for Efficient Learning Integrating Alexa and ChatGPT. - Dan-Cristian Alb; Camelia Serban (ICSOFT, 2023)

DOM-Based Clustering Approach for Web Page Segmentation: A Comparative Study. - Adrian Sterca; Oana Nourescu; Adriana Guran; Camelia Serban (WEBIST, 2023)

Report from the 4th Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '22). - Julie Henry; Upsorn Praphamontripong; Camelia Serban; Andreea Vescan (ACM SIGSOFT Softw. Eng. Notes, 2023)

Empirical investigation in embedded systems: Quality attributes in general, maintainability in particular. - Simona Motogna; Andreea Vescan; Camelia Serban (J. Syst. Softw., 2023)

Quiz-Ifying Education: Exploring the Power of Virtual Assistants. - Ioana-Alexandra Todericiu; Mihai Daniel Pop; Camelia Serban; Laura Diosan (CSEDU (2), 2024)

Connecting Issue Tracking Systems and Continuous Integration / Continuous Delivery Platforms for Improving Log Analysis: A Tool Support. - Oskar Picus; Camelia Serban (ENASE, 2024)

Exploring the impact of data preprocessing techniques on composite classifier algorithms in cross-project defect prediction. - Andreea Vescan; Radu Dan Gaceanu; Camelia Serban (Autom. Softw. Eng., 2024)

Challenges in Software Metrics Adoption: Insights from Cluj-Napoca's Development Community. - Laura Diana Cernau; Laura Diosan; Camelia Serban (ENASE, 2025)

Alexa and Copilot: A Tale of Two Assistants. - Ioana-Alexandra Todericiu; Laura Diosan; Camelia Serban (ICAART (1), 2025)

Unveiling Hybrid Cyclomatic Complexity: A Comprehensive Analysis and Evaluation as an Integral Feature in Automatic Defect Prediction Models. - Laura Diana Cernau; Laura Diosan; Camelia Serban (CoRR, 2025)