DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging

4 January 2018

Papers citing "DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging"

20 / 20 papers shown

Title
Learning Software Bug Reports: A Systematic Literature Review Guoming Long Jingzhi Gong Hui Fang Tao Chen 89 1 0 06 Jul 2025
User Story Tutor (UST) to Support Agile Software Developers Giseldo Neo José Moura Hyggo Almeida Alana Neo Olival de Gusmão Freitas Júnior AI4TS 56 6 0 24 Jun 2024
The Rise and Fall(?) of Software Engineering Antonio Mastropaolo Camilo Escobar-Velásquez Mario Linares-Vásquez 125 3 0 14 Jun 2024
A Comparative Study of Transformer-based Neural Text Representation Techniques on Bug TriagingInternational Conference on Automated Software Engineering (ASE), 2023 Atish Kumar Dipongkor Kevin Moran 39 9 0 10 Oct 2023
DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce Ipsita Mohanty 107 2 0 21 Jul 2023
Comparison of Machine Learning Methods for Assigning Software Issues to Team Members Bucsra Tabak Fatma Bacsak Aydemir 97 0 0 18 Jun 2023
DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android BytecodeIEEE Transactions on Software Engineering (TSE), 2022 Tiezhu Sun Kevin Allix Kisub Kim Xin Zhou Dongsun Kim David Lo Tegawende F. Bissyande Jacques Klein 184 17 0 12 Dec 2022
ADPTriage: Approximate Dynamic Programming for Bug TriageIEEE Transactions on Software Engineering (TSE), 2022 H. Jahanshahi Mucahit Cevik Kianoush Mousavi Ayse Basar 80 8 0 02 Nov 2022
S-DABT: Schedule and Dependency-Aware Bug Triage in Open-Source Bug Tracking SystemsInformation and Software Technology (IST), 2022 H. Jahanshahi Mucahit Cevik 45 16 0 12 Apr 2022
DapStep: Deep Assignee Prediction for Stack Trace Error rePresentationIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022 Denis Sushentsev Aleksandr Khvorov R. Vasiliev Yaroslav Golubev T. Bryksin 88 3 0 14 Jan 2022
Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We? Arthur D. Sawadogo Quentin Guimard Tegawende F. Bissyande Abdoul Kader Kaboré Jacques Klein Naouel Moha 102 8 0 19 Dec 2021
Identifying non-natural language artifacts in bug reports Thomas Hirsch Birgit Hofer 23 6 0 04 Oct 2021
FRUGAL: Unlocking SSL for Software AnalyticsInternational Conference on Automated Software Engineering (ASE), 2021 Huy Tu Tim Menzies 101 16 0 22 Aug 2021
DABT: A Dependency-aware Bug Triaging MethodInternational Conference on Evaluation & Assessment in Software Engineering (EASE), 2021 H. Jahanshahi Kritika Chhabra Mucahit Cevik Ayse Basar 43 24 0 26 Apr 2021
S3M: Siamese Stack (Trace) Similarity MeasureIEEE Working Conference on Mining Software Repositories (MSR), 2021 Aleksandr Khvorov R. Vasiliev G. Chernishev I. M. Rodrigues D. Koznov Nikita Povarov 128 12 0 18 Mar 2021
Old but Gold: Reconsidering the value of feedforward learners for software analytics Rahul Yedida Xueqi Yang Tim Menzies AI4TS 104 4 0 15 Jan 2021
A Recurrent Neural Network Based Patch Recommender for Linux Kernel Bugs Anusha Bableshwar A. Ravindran Manoj Iyer KELM 42 0 0 19 Feb 2020
A multi-label, dual-output deep neural network for automated bug triagingInternational Conference on Machine Learning and Applications (ICMLA), 2019 Christopher A. Choquette-Choo D. Sheldon J. Proppe John Alphonso-Gibbs Harsha Gupta 51 15 0 13 Oct 2019
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering Lahari Poddar Leonardo Neves William Brendel Luís Marujo Sergey Tulyakov Pradeep Karuturi 148 13 0 29 Mar 2019
Automated labeling of bugs and tickets using attention-based mechanisms in recurrent neural networksInternational Conference on Data Stream Mining & Processing (ICDSMP), 2018 Volodymyr Lyubinets Taras Boiko Deon Nicholas 83 16 0 08 Jul 2018