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Using deep temporal convolutional networks to just-in-time forecast technical debt principal.

, , , , and . J. Syst. Softw., (2022)

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Building a Virtual View of Heterogeneous Data Source Views., , , and . ICSOFT (1), page 266-275. SciTePress, (2010)Mining candidate web services from legacy code., , and . WSE, page 37-40. IEEE Computer Society, (2008)A Framework for Measuring the Alignment between Business Processes and Software Systems., , and . FGIT-ASEA, volume 59 of Communications in Computer and Information Science, page 213-220. Springer, (2009)Using Machine Learning for early prediction of Heart Disease., , , , , and . EAIS, page 1-8. IEEE, (2022)UML Miner: A Tool for Mining UML Diagrams., , , , , and . MoDELS (Companion), page 30-34. IEEE, (2023)An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment., , , , , and . HELMeTO, volume 1779 of Communications in Computer and Information Science, page 536-547. Springer, (2022)Thyroid Disease Treatment prediction with machine learning approaches., , , , , , and . KES, volume 192 of Procedia Computer Science, page 1031-1040. Elsevier, (2021)Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks., , , and . PROFES, volume 13709 of Lecture Notes in Computer Science, page 581-591. Springer, (2022)Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning., , , , , , , and . MetroXRAINE, page 688-693. IEEE, (2023)Business Process-Awareness in the Maintenance Activities., and . ICEIS, volume 24 of Lecture Notes in Business Information Processing, page 577-589. Springer, (2009)