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DeepTriage: Exploring the Effectiveness of Deep Learning for Bug
  Triaging

DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging

4 January 2018
Senthil Mani
A. Sankaran
Rahul Aralikatte
ArXivPDFHTML

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

20 / 20 papers shown
Title
User Story Tutor (UST) to Support Agile Software Developers
User Story Tutor (UST) to Support Agile Software Developers
Giseldo Neo
José Moura
Hyggo Almeida
Alana Neo
Olival de Gusmão Freitas Júnior
AI4TS
22
3
0
24 Jun 2024
The Rise and Fall(?) of Software Engineering
The Rise and Fall(?) of Software Engineering
Antonio Mastropaolo
Camilo Escobar-Velásquez
Mario Linares-Vásquez
35
2
0
14 Jun 2024
A Comparative Study of Transformer-based Neural Text Representation
  Techniques on Bug Triaging
A Comparative Study of Transformer-based Neural Text Representation Techniques on Bug Triaging
Atish Kumar Dipongkor
Kevin Moran
13
6
0
10 Oct 2023
DEFTri: A Few-Shot Label Fused Contextual Representation Learning For
  Product Defect Triage in e-Commerce
DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce
Ipsita Mohanty
19
2
0
21 Jul 2023
Comparison of Machine Learning Methods for Assigning Software Issues to
  Team Members
Comparison of Machine Learning Methods for Assigning Software Issues to Team Members
Bucsra Tabak
Fatma Bacsak Aydemir
22
0
0
18 Jun 2023
DexBERT: Effective, Task-Agnostic and Fine-grained Representation
  Learning of Android Bytecode
DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode
Tiezhu Sun
Kevin Allix
Kisub Kim
Xin Zhou
Dongsun Kim
David Lo
Tegawende F. Bissyande
Jacques Klein
24
11
0
12 Dec 2022
ADPTriage: Approximate Dynamic Programming for Bug Triage
ADPTriage: Approximate Dynamic Programming for Bug Triage
H. Jahanshahi
Mucahit Cevik
Kianoush Mousavi
Ayse Basar
11
3
0
02 Nov 2022
S-DABT: Schedule and Dependency-Aware Bug Triage in Open-Source Bug
  Tracking Systems
S-DABT: Schedule and Dependency-Aware Bug Triage in Open-Source Bug Tracking Systems
H. Jahanshahi
Mucahit Cevik
11
12
0
12 Apr 2022
DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation
DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation
Denis Sushentsev
Aleksandr Khvorov
R. Vasiliev
Yaroslav Golubev
T. Bryksin
38
3
0
14 Jan 2022
Early Detection of Security-Relevant Bug Reports using Machine Learning:
  How Far Are We?
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
11
7
0
19 Dec 2021
Identifying non-natural language artifacts in bug reports
Identifying non-natural language artifacts in bug reports
Thomas Hirsch
Birgit Hofer
9
4
0
04 Oct 2021
FRUGAL: Unlocking SSL for Software Analytics
FRUGAL: Unlocking SSL for Software Analytics
Huy Tu
Tim Menzies
14
14
0
22 Aug 2021
DABT: A Dependency-aware Bug Triaging Method
DABT: A Dependency-aware Bug Triaging Method
H. Jahanshahi
Kritika Chhabra
Mucahit Cevik
Ayse Basar
11
21
0
26 Apr 2021
S3M: Siamese Stack (Trace) Similarity Measure
S3M: Siamese Stack (Trace) Similarity Measure
Aleksandr Khvorov
R. Vasiliev
G. Chernishev
I. M. Rodrigues
D. Koznov
Nikita Povarov
31
9
0
18 Mar 2021
Old but Gold: Reconsidering the value of feedforward learners for
  software analytics
Old but Gold: Reconsidering the value of feedforward learners for software analytics
Rahul Yedida
Xueqi Yang
Tim Menzies
AI4TS
28
4
0
15 Jan 2021
A Recurrent Neural Network Based Patch Recommender for Linux Kernel Bugs
A Recurrent Neural Network Based Patch Recommender for Linux Kernel Bugs
Anusha Bableshwar
A. Ravindran
Manoj Iyer
KELM
11
0
0
19 Feb 2020
A multi-label, dual-output deep neural network for automated bug
  triaging
A multi-label, dual-output deep neural network for automated bug triaging
Christopher A. Choquette-Choo
D. Sheldon
J. Proppe
John Alphonso-Gibbs
Harsha Gupta
11
13
0
13 Oct 2019
Train One Get One Free: Partially Supervised Neural Network for Bug
  Report Duplicate Detection and Clustering
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
14
13
0
29 Mar 2019
Automated labeling of bugs and tickets using attention-based mechanisms
  in recurrent neural networks
Automated labeling of bugs and tickets using attention-based mechanisms in recurrent neural networks
Volodymyr Lyubinets
Taras Boiko
Deon Nicholas
14
16
0
08 Jul 2018
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,925
0
17 Aug 2015
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