Papers in publications from ISI Web of Knowledge

 

 


Papers in publications from ISI Science Citation Index Expanded

  1. Simona Motogna, Andreea Vescan, Camelia Şerban, Empirical investigation in embedded systems: Quality attributes in general, maintainability in particular, Journal of Systems and Software, Volume 201, 2023, 111678, ISSN 0164-1212, https://doi.org/10.1016/j.jss.2023.111678.
  2. Vescan, A., Şerban, C., Crişan, G.C. Computational intelligence in software defects rules discovery. Soft Comput 26, 6925–6939 (2022), \url{https://doi.org/10.1007/s00500-021-06646-9} (rank B ISI journal)
  3. Andreea Vescan, Camelia-M Pintea, Petrică C Pop, Test Case Prioritization—ANT Algorithm With Faults Severity, Logic Journal of the IGPL, Volume 30, Issue 2, April 2022, Pages 277–288, \url{https://doi.org/10.1093/jigpal/jzaa061} (rank A ISI journal)
  4. Dana Opre, Camelia Șerban, Andreea Vescan, Romiță Iucu,Supporting students’ active learning with a computer based tool, Active Learning in Higher Education, June 2022. doi:10.1177/14697874221100465
  5. Andreea Vescan, Adrian Pintea, Lukas Linsbauer, and Alexander Egyed. 2021. Genetic programming for feature model synthesis: a replication study. Empirical Softw. Engg. 26, 4 (Jul 2021), \url{https://doi.org/10.1007/s10664-021-09947-7} (rank A ISI journal)
  6. Vescan, A.,Serban, C.,   Multilevel component selection optimization toward an optimal architecture , Soft Computing , no. 21, pp. 4481–4495, 2017. disclaimer https://link-springer-com.am.e-nformation.ro/article/10.1007/s00500-016-2472-8 (IF=2.367 in 2017, Rank Q2)
  7.  Vescan, A.,  Optimal component selection using a multiobjective evolutionary algorithm, International Journal on non-standard computing and artificial intelligence: Neural Network World, no. 2, pp. 201- 213, 2009. disclaimer pdf bibtexhttp://www.nnw.cz/ (Rank Q4 in 2009)
  8. Fanea, A., Diosan, L., Evolutionary Approach for Behaviour Component Composition, International Journal of Computers, Communications & Control (IJCCC), pp. 480- 485, 2006.disclaimer pdf bibtexhttp://www.journal.univagora.ro/
  9. Fanea, A., Diosan, L., Computational Intelligence-based Model for Component Composition Analysis, International Journal of Computers, Communications & Control (IJCCC), pp. 474- 479, 2006.disclaimer pdf bibtexhttp://www.journal.univagora.ro

        

    Papers in publications from ISI Conference Proceedings Citation Index

  1. I. -C. Rotaru and A. Vescan, "Test Case Prioritization Based on Neural Network Classification with Artifacts Traceability," 2023 38th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW), Luxembourg, Luxembourg, 2023, pp. 78-87, doi: 10.1109/ASEW60602.2023.00015.
  2. A. Vescan, R. Găceanu and A. Szederjesi-Dragomir, "Neural Network-Based Test Case Prioritization in Continuous Integration," 2023 38th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW), Luxembourg, Luxembourg, 2023, pp. 68-77, doi: 10.1109/ASEW60602.2023.00014.
  3. A. Vescan and R. Găceanu, "Cross-Project Defect Prediction using Supervised and Unsupervised Learning: a Replication Study," 2023 27th International Conference on System Theory, Control and Computing (ICSTCC), Timisoara, Romania, 2023, pp. 440-447, doi: 10.1109/ICSTCC59206.2023.10308464.
  4. Andreea Vescan, Serban Camelia, and Alisa-Daniela Budur. 2021. Towards a Reliability Prediction Model based on Internal Structure and Post-Release Defects Using Neural Networks. In Evaluation and Assessment in Software Engineering (EASE 2021). Association for Computing Machinery, New York, NY, USA, 379–386, \url{https://doi.org/10.1145/3463274.3463363} (rank B CORE conference) 
  5. A. Vescan, C. Şerban and G. C. Crişan, "Software Defects Rules Discovery," 2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2021, pp. 101-109, doi: 10.1109/ICSTW52544.2021.00028.
  6. Şerban, C. and Vescan, A. (2021). Towards a Neural Network based Reliability Prediction Model via Bugs and Changes. In Proceedings of the 16th International Conference on Software Technologies - ICSOFT, ISBN 978-989-758-523-4; ISSN 2184-2833, pages 302-309. DOI: 10.5220/0010600703020309
  7. Ioana Todericiu, Camelia Serban, and \textbf{Andreea Vescan}. 2021. Students perception on the impact of their involvement in the learning process: an empirical study. In Proceedings of the 3rd International Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI 2021). Association for Computing Machinery, New York, NY, USA, 39–46. https://doi.org/10.1145/3472673.3473964
  8. Beáta Lőrincz, Bogdan Iudean, and Andreea Vescan. 2021. Experience report on teaching testing through gamification. In Proceedings of the 3rd International Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI 2021). Association for Computing Machinery, New York, NY, USA, 15–22, \url{https://doi.org/10.1145/3472673.3473960}
  9. C. Şerban, V. Niculescu and A. Vescan, "Attaining competences in software quality oriented design based on cyclic learning," 2020 IEEE Frontiers in Education Conference (FIE), 2020, pp. 1-9, doi: 10.1109/FIE44824.2020.9274227. (rank B CORE2020 conference)
  10. C. Şerban and A. Vescan, "Towards an Evaluation Process around Active Learning based Methods," 2020 IEEE Frontiers in Education Conference (FIE), 2020, pp. 1-7, doi: 10.1109/FIE44824.2020.9273935. (rank B CORE2020 conference)
  11. A. Vescan and C. Şerban, "Towards a new Test Case Prioritization Approach based on Fuzzy Clustering Analysis," 2020 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2020, pp. 786-788, doi: 10.1109/ICSME46990.2020.00091.
  12. Andreea Vescan. 2019. Does learning by doing have a positive impact on teaching model checking? In Proceedings of the 1st ACM SIGSOFT International Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI 2019). Association for Computing Machinery, New York, NY, USA, 27–34, \url{https://doi.org/10.1145/3340435.3342717}
  13. Camelia Serban and Andreea Vescan. 2019. Predicting reliability by severity and priority of defects. In Proceedings of the 2nd ACM SIGSOFT International Workshop on Software Qualities and Their Dependencies (SQUADE 2019). Association for Computing Machinery, New York, NY, USA, 27–34. https://doi.org/10.1145/3340495.3342753
  14. Camelia Serban and Andreea Vescan. 2019. Advances in designing a student-centered learning process using cutting-edge methods, tools, and artificial intelligence: an e-learning platform. In Proceedings of the 1st ACM SIGSOFT International Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI 2019). Association for Computing Machinery, New York, NY, USA, 39–45, \url{https://doi.org/10.1145/3340435.3342716}
  15. V. Niculescu, C. Şerban and A. Vescan, "Does Cyclic Learning have Positive Impact on Teaching Object-Oriented Programming?," 2019 IEEE Frontiers in Education Conference (FIE), 2019, pp. 1-9, doi: 10.1109/FIE43999.2019.9028600.
  16. Vescan, A., Şerban,C., Chisăliţă-Cretu, C., Dioşan, L.,   Requirement Dependencies-based Formal Approach for Test Case Prioritization in Regression Testing ,13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Location: Cluj Napoca, ROMANIA Date: SEP 07-09, pp. 181-188 , 2017 disclaimer https://ieeexplore.ieee.org/document/8117002
  17. S. Motogna, A. Vescan, C. Serban and P. Tirban, "An approach to assess maintainability change," 2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2016, pp. 1-6, doi: 10.1109/AQTR.2016.7501279.
  18. Vescan, A. (2016). An Evolutionary Multiobjective Approach for the Dynamic Multilevel Component Selection Problem. In: Norta, A., Gaaloul, W., Gangadharan, G., Dam, H. (eds) Service-Oriented Computing – ICSOC 2015 Workshops. ICSOC 2015. Lecture Notes in Computer Science(), vol 9586. Springer, Berlin, Heidelberg. \url{https://doi.org/10.1007/978-3-662-50539-7_16}
  19. Vescan, A., Şerban, C. (2016). A Fuzzy-Based Approach for the Multilevel Component Selection Problem. In: Martínez-Álvarez, F., Troncoso, A., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2016. Lecture Notes in Computer Science(), vol 9648. Springer, Cham. \url{https://doi.org/10.1007/978-3-319-32034-2_39}
  20. Vescan, A. (2016). Case Study Method and Research Design for the Dynamic Multilevel Component Selection Problem. In: Norta, A., Gaaloul, W., Gangadharan, G., Dam, H. (eds) Service-Oriented Computing – ICSOC 2015 Workshops. ICSOC 2015. Lecture Notes in Computer Science(), vol 9586. Springer, Berlin, Heidelberg. \url{https://doi.org/10.1007/978-3-662-50539-7_11}
  21. Motogna, S., Ciuciu, I., Serban, C., Vescan, A. (2015). Improving Software Quality Using an Ontology-Based Approach. In: , et al. On the Move to Meaningful Internet Systems: OTM 2015 Workshops. OTM 2015. Lecture Notes in Computer Science(), vol 9416. Springer, Cham. \url{https://doi.org/10.1007/978-3-319-26138-6_49}
  22. C. Şerban, A. Vescan and H. F. Pop, "A conceptual framework for component-based system metrics definition," 9th RoEduNet IEEE International Conference, 2010, pp. 73-78.
  23. A. Vescan, "A Metrics-Based Evolutionary Approach for the Component Selection Problem," 2009 11th International Conference on Computer Modelling and Simulation, 2009, pp. 83-88, doi: 10.1109/UKSIM.2009.32.
  24. C. Chisalita-Cretu, A. Vescan, "The multi-objective refactoring selection problem," Knowledge Engineering Principles and Techniques, 2009, pp. 291-298. 
  25. Şerban, C., Vescan, A., Pop, H.F. (2009). A New Component Selection Algorithm Based on Metrics and Fuzzy Clustering Analysis. In: Corchado, E., Wu, X., Oja, E., Herrero, Á., Baruque, B. (eds) Hybrid Artificial Intelligence Systems. HAIS 2009. Lecture Notes in Computer Science(), vol 5572. Springer, Berlin, Heidelberg. \url{https://doi.org/10.1007/978-3-642-02319-4_75}
  26. A. Vescan and C. Grosan, "Two Evolutionary Multiobjective Approaches for the Component Selection Problem," 2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008, pp. 395-400, doi: 10.1109/ISDA.2008.24.
  27. \textbf{Vescan, A.}, Grosan, C., Pop, H. F., \textit{Evolutionary Algorithms for the Component Selection Problem}, Proceedings of the $2^{nd}$ International Workshop on Evolutionary Techniques in Data Processing, 1--5 September, Turin, Italy, ISBN: 1529-4188, pp. 509 -- 513, 2008 (\textit{ISI Proceeding}).
  28. A. Vescan, "An evolutionary multiobjective approach for the component selection problem," 2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), 2008, pp. 252-257, doi: 10.1109/ICADIWT.2008.4664354.
  29. Andreea Vescan. 2008. Component Adaptation Architectures A Formal Approach. In Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III (KES '08). Springer-Verlag, Berlin, Heidelberg, 319–326. \url{https://doi.org/10.1007/978-3-540-85567-5_40}
  30. Vescan, A., Grosan, C. (2008). A Hybrid Evolutionary Multiobjective Approach for the Component Selection Problem. In: Corchado, E., Abraham, A., Pedrycz, W. (eds) Hybrid Artificial Intelligence Systems. HAIS 2008. Lecture Notes in Computer Science(), vol 5271. Springer, Berlin, Heidelberg. \url{https://doi.org/10.1007/978-3-540-87656-4_21}
  31. A. Vescan, "Restraint Order Component Model Execution," 2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2006, pp. 195-200, doi: 10.1109/SYNASC.2006.66.
  32. \item Z. I. Lazar, A. Fanea, D. Petrascu, V. Ciobotariu-Boer and B. Parv, "COMODI: on the graphical user interface," Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), 2005, pp. 5 pp.-, doi: 10.1109/SYNASC.2005.27.
2010-2012 and 2013-2014 - Parental leave  

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