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    Academic Journal

    Contributors: Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Commission, European Research Council, Generalitat de Catalunya, China Scholarship Council, Harbin Institute of Technology (China), Ministerio de Economía y Competitividad (España), Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]

    Source: Dipòsit Digital de Documents de la UAB
    Universitat Autònoma de Barcelona
    Digital.CSIC. Repositorio Institucional del CSIC
    Consejo Superior de Investigaciones Científicas (CSIC)
    instname
    Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC))
    Dipòsit Digital de la UB
    Universidad de Barcelona
    Journal of the American Chemical Society

    File Description: application/pdf

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    Academic Journal

    Contributors: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions

    Source: UPCommons. Portal del coneixement obert de la UPC
    Universitat Politècnica de Catalunya (UPC)

    File Description: application/pdf

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    Academic Journal

    Contributors: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals

    Source: Recercat. Dipósit de la Recerca de Catalunya
    instname
    UPCommons. Portal del coneixement obert de la UPC
    Universitat Politècnica de Catalunya (UPC)

    File Description: application/pdf

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    Dissertation/ Thesis

    Contributors: Cadavid Rengifo, Héctor Fabio, Garzón Alfonso, Wilmer Edicson, Vega Bernal, Heimar Yadir, Toquica Barrera, Javier Ivan

    File Description: 110 páginas; application/pdf

    Relation: D. Zügner, T. Kirschstein, M. Catasta, J. Leskovec, and S. Günnemann, “Languageagnostic representation learning of source code from structure and context,” arXiv preprint arXiv:2103.11318, 2021.; X. Han, Z. Zhang, N. Ding, Y. Gu, X. Liu, Y. Huo, J. Qiu, Y. Yao, A. Zhang, L. Zhang, W. Han, M. Huang, Q. Jin, Y. Lan, Y. Liu, Z. Liu, Z. Lu, X. Qiu, R. Song, J. Tang, J.-R. Wen, J. Yuan, W. X. Zhao, and J. Zhu, “Pre-Trained Models: Past, Present and Future,” arXiv, 2021.; D. Guo, S. Lu, N. Duan, Y. Wang, M. Zhou, and J. Yin, “UniXcod; J. A. M. Santos, J. B. Rocha-Junior, L. C. L. Prates, R. S. Do Nascimento, M. F. Freitas, and M. G. De Mendonça, “A systematic review on the code smell effect,” Journal of Systems and Software, vol. 144, pp. 450–477, 2018.; J. Kanwal, O. Maqbool, H. A. Basit, M. A. Sindhu, and K. Inoue, “Historical perspective of code clone refactorings in evolving software,” PLOS ONE, vol. 17, no. 12, p. e0277216, 2022.; M. Pyl, B. v. Bladel, and S. Demeyer, “An Empirical Study on Accidental CrossProject Code Clones,” 2020 IEEE 14th International Workshop on Software Clones (IWSC), vol. 00, pp. 33–37, 2020.; R. Perez-Castillo and M. Piattini, “An empirical study on how project context impacts on code cloning,” Journal of Software: Evolution and Process, vol. 30, no. 12, 2018.; R. Cox, R. Griesemer, R. Pike, I. L. Taylor, and K. Thompson, “The Go programming language and environment,” Communications of the ACM, vol. 65, no. 5, pp. 70–78, 2022.; L. Jiang, G. Misherghi, Z. Su, and S. Glondu, “Deckard: Scalable and accurate treebased detection of code clones,” in 29th International Conference on Software Engineering (ICSE’07), pp. 96–105, IEEE, 2007.; C. Wang, J. Gao, Y. Jiang, Z. Xing, H. Zhang, W. Yin, M. Gu, and J. Sun, “Go-clone: Graph-embedding based clone detector for golang,” in Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2019, (New York, NY, USA), p. 374–377, Association for Computing Machinery, 2019.; I. Bahar, M. Herlihy, E. Witchel, A. Lebeck, T. Tu, X. Liu, L. Song, and Y. Zhang, “Understanding Real-World Concurrency Bugs in Go,” Proceedings of the TwentyFourth International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 865–878, 2019.; A. E. Hassan, “The road ahead for mining software repositories,” in 2008 frontiers of software maintenance, pp. 48–57, IEEE, 2008.; GitHub, “Repository statistics query using github api,” 2023. Retrieved from https: //api.github.com/.; Q. U. Ain, W. H. Butt, M. W. Anwar, F. Azam, and B. Maqbool, “A systematic review on code clone detection,” IEEE Access, vol. 7, pp. 86121–86144, 2019.; H. P. Samoaa, F. Bayram, P. Salza, and P. Leitner, “A systematic mapping study of source code representation for deep learning in software engineering,” IET Software, vol. 16, no. 4, pp. 351–385, 2022.; D. Jurafsky and J. H. Martin, “Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition.”; U. Alon, M. Zilberstein, O. Levy, and E. Yahav, “code2vec: Learning Distributed Representations of Code,” arXiv, 2018.; B. Casey, J. C. S. Santos, and G. Perry, “A survey of source code representations for machine learning-based cybersecurity tasks,” arXiv, 2024.; H. Wang, J. Li, H. Wu, E. Hovy, and Y. Sun, “Pre-Trained Language Models and Their Applications,” Engineering, vol. 25, pp. 51–65, 2023.; D. Guo, S. Ren, S. Lu, Z. Feng, D. Tang, S. Liu, L. Zhou, N. Duan, A. Svyatkovskiy, S. Fu, M. Tufano, S. K. Deng, C. Clement, D. Drain, N. Sundaresan, J. Yin, D. Jiang, and M. Zhou, “GraphCodeBERT: Pre-training Code Representations with Data Flow,” arXiv, 2020.; K. Kowsari, K. J. Meimandi, M. Heidarysafa, S. Mendu, L. Barnes, and D. Brown, “Text Classification Algorithms: A Survey,” Information, vol. 10, no. 4, p. 150, 2019.; L. Li, H. Feng, W. Zhuang, N. Meng, and B. Ryder, “Cclearner: A deep learningbased clone detection approach,” in 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 249–260, 2017.; H. Jelodar, Y. Wang, C. Yuan, X. Feng, X. Jiang, Y. Li, and L. Zhao, “Latent dirichlet allocation (lda) and topic modeling: models, applications, a survey,” Multimedia Tools and Applications, vol. 78, pp. 15169–15211, 06 2019.; S. BELLAOUAR, M. M.BELLAOUAR,andI.E.GHADA,“Topic Modeling: Comparison of LSA and LDA on Scientific Publications,” 2021 4th International Conference on Data Storage and Data Engineering, 2021.; M. Grootendorst, “BERTopic: Neural topic modeling with a class-based TF-IDF procedure,” arXiv, 2022.; A. Lerina and L. Nardi, “Investigating on the impact of software clones on Technical Debt,” 2019 IEEE/ACM International Conference on Technical Debt (TechDebt), vol. 00, pp. 108–112, 2019.; D. Lo, S. McIntosh, N. Novielli, Q. Wu, H. Song, and P. Yang, “Real-World CloneDetection in Go,” 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR), vol. 00, pp. 78–79, 2022.; Y. Golubev and T. Bryksin, “On the Nature of Code Cloning in Open-Source Java Projects,” arXiv, 2021.; A. I. Kadhim, “An evaluation of preprocessing techniques for text classification,” International Journal of Computer Science and Information Security (IJCSIS), vol. 16, no. 6, pp. 22–32, 2018.; PoolC, “5-fold-clone-detection,” 2022. Retrieved from https://poolc.org/.; C. Strobl, J. Malley, and G. Tutz, “An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests.,” Psychological methods, vol. 14, no. 4, p. 323, 2009.; D. Das, A. A. Maruf, R. Islam, N. Lambaria, S. Kim, A. S. Abdelfattah, T. Cerny, K. Frajtak, M. Bures, and P. Tisnovsky, “Technical debt resulting from architectural degradation and code smells: a systematic mapping study,” ACM SIGAPP Applied Computing Review, vol. 21, no. 4, pp. 20–36, 2022.; C. K. Roy and J. R. Cordy, “A survey on software clone detection research,” Queen’s School of computing TR, vol. 541, no. 115, pp. 64–68, 2007.; https://repositorio.escuelaing.edu.co/handle/001/3664; Universidad Escuela Colombiana de Ingeniería; Repositorio Digital; https://repositorio.escuelaing.edu.co/

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    Academic Journal

    Contributors: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació, Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering, Sub Software Production, Software Production, University of Zurich, Groen, Eduard C., Seyff, Norbert, Ali, Raian, Dalpiaz, Fabiano, Doerr, Joerg, Guzman, Emitza, Hossein, Mahmood, Marco, Jordi, Oriol, Marc, Perini, Anna, Stade, Melanie J. C.

    Source: UPCommons. Portal del coneixement obert de la UPC
    Universitat Politècnica de Catalunya (UPC)
    Recercat. Dipósit de la Recerca de Catalunya
    instname
    IEEE Software

    File Description: application/pdf; Groen_et_al_IEEE_Software_2017.pdf - application/pdf

    Linked Full Text
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    Academic Journal

    Source: Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC))

    File Description: 6 p.; application/pdf

    Relation: Reproducció del document publicat a: https://doi.org/10.1021/jacs.0c11061; Journal of the American Chemical Society, 2020, vol. 142, num. 50, p.20962–20967; https://doi.org/10.1021/jacs.0c11061; info:eu-repo/grantAgreement/EC/H2020/866348/EU//i-NANOSWARMS; info:eu-repo/grantAgreement/EC/H2020/843998/EU//DNA-bots; https://hdl.handle.net/2445/180514

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    Conference

    Authors: Nawahdah, Mamoun

    Relation: Nawahdah M.I. (2018) Gamifying the Teaching and Learning Process in an Advanced Computer Programming Course. In: Egi H., Yuizono T., Baloian N., Yoshino T., Ichimura S., Rodrigues A. (eds) Collaboration Technologies and Social Computing. CollabTech 2018. Lecture Notes in Computer Science, vol 11000. Springer, Cham; http://hdl.handle.net/20.500.11889/5728

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    Dissertation/ Thesis