Using deep temporal convolutional networks to just-in-time forecast technical debt principal-Reference-Cited by-同舟云学术

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

Published:2022-12 Issue: Volume:194 Page:111481
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Ardimento Pasquale^ORCID,Aversano Lerina,Bernardi Mario Luca^ORCID,Cimitile Marta^ORCID,Iammarino Martina^ORCID

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference49 articles.

1. Understanding of a convolutional neural network;Albawi,2017

2. Identification and management of technical debt: A systematic mapping study;Alves;Inf. Softw. Technol.,2016

3. Identification and management of technical debt: A systematic mapping study;Alves;Inf. Softw. Technol.,2016

4. A framework for managing interest in technical debt: An industrial validation;Ampatzoglou,2018

5. Temporal convolutional networks for just-in-time software defect prediction;Ardimento,2020

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Systematic Literature Review on Forecasting and Prediction of Technical Debt Evolution;2024

2. Forecasting the Developer’s Impact in Managing the Technical Debt;Product-Focused Software Process Improvement;2023-12-02

3. Comparative Study of Ensemble Learning Methods in Just-in-time Software Defect Prediction;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion (QRS-C);2023-10-22

4. Research on Gas Outburst Prediction Model Based on Multiple Strategy Fusion Improved Snake Optimization Algorithm With Temporal Convolutional Network;IEEE Access;2022

5. Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks;Product-Focused Software Process Improvement;2022

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