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Adapting Neural Text Classification for Improved Software Categorization

Adapting Neural Text Classification for Improved Software Categorization

5 June 2018
Alexander LeClair
Zachary Eberhart
Collin McMillan
ArXivPDFHTML

Papers citing "Adapting Neural Text Classification for Improved Software Categorization"

10 / 10 papers shown
Title
FlaKat: A Machine Learning-Based Categorization Framework for Flaky
  Tests
FlaKat: A Machine Learning-Based Categorization Framework for Flaky Tests
Shizhe Lin
Ryan Liu
L. Tahvildari
16
0
0
01 Mar 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan
Yang He
Zhangqian Bi
Jianguo Zhang
Hongyu Zhang
Yulei Sui
Guandong Xu
Hai Jin
Philip S. Yu
47
21
0
30 Dec 2023
Exploring and Evaluating Personalized Models for Code Generation
Exploring and Evaluating Personalized Models for Code Generation
Andrei Zlotchevski
Dawn Drain
Alexey Svyatkovskiy
Colin B. Clement
Neel Sundaresan
Michele Tufano
36
11
0
29 Aug 2022
AutoTSG: Learning and Synthesis for Incident Troubleshooting
AutoTSG: Learning and Synthesis for Incident Troubleshooting
Manish Shetty
Chetan Bansal
Sai Pramod Upadhyayula
Arjun Radhakrishna
Anurag Gupta
56
19
0
26 May 2022
GitRanking: A Ranking of GitHub Topics for Software Classification using
  Active Sampling
GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling
Cezar Sas
A. Capiluppi
Claudio Di Sipio
Juri Di Rocco
Davide Di Ruscio
35
7
0
19 May 2022
Antipatterns in Software Classification Taxonomies
Antipatterns in Software Classification Taxonomies
Cezar Sas
A. Capiluppi
35
8
0
19 Apr 2022
Synergy between Machine/Deep Learning and Software Engineering: How Far
  Are We?
Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?
Simin Wang
LiGuo Huang
Jidong Ge
Tengfei Zhang
Haitao Feng
Ming Li
He Zhang
Vincent Ng
AI4CE
20
7
0
12 Aug 2020
Machine Learning for Software Engineering: A Systematic Mapping
Machine Learning for Software Engineering: A Systematic Mapping
Saad Shafiq
A. Mashkoor
Christoph Mayr-Dorn
Alexander Egyed
36
18
0
27 May 2020
Improved Code Summarization via a Graph Neural Network
Improved Code Summarization via a Graph Neural Network
Alexander LeClair
S. Haque
Lingfei Wu
Collin McMillan
16
283
0
06 Apr 2020
Import2vec - Learning Embeddings for Software Libraries
Import2vec - Learning Embeddings for Software Libraries
B. Theeten
Frederik Vandeputte
Tom Van Cutsem
SSL
19
34
0
27 Mar 2019
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