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CASMS: Combining clustering with attention semantic model for identifying security bug reports

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-14142-8_1openalex-snapshot
An Introduction to Data Mining
inferredcites →https://doi.org/10.1007/s10664-008-9079-3openalex-snapshot
Techniques for evaluating fault prediction models
inferredcites →https://doi.org/10.1007/s10664-008-9082-8openalex-snapshot
Do too many cooks spoil the broth? Using the number of developers to enhance defect prediction models
inferredcites →https://doi.org/10.1007/s10664-014-9331-yopenalex-snapshot
Automated prediction of bug report priority using multi-factor analysis
inferredcites →https://doi.org/10.1007/s40745-015-0040-1openalex-snapshot
A Comprehensive Survey of Clustering Algorithms
inferredcites →https://doi.org/10.1016/0893-6080(90)90065-sopenalex-snapshot
International Conference on Artificial Neural Networks
inferredcites →https://doi.org/10.1016/0893-6080(95)90002-0openalex-snapshot
Neural networks for pattern recognition
inferredcites →https://doi.org/10.1016/j.infsof.2015.08.002openalex-snapshot
On the capability of static code analysis to detect security vulnerabilities
inferredcites →https://doi.org/10.1016/j.infsof.2016.04.017openalex-snapshot
Tuning for software analytics: Is it really necessary?
inferredcites →https://doi.org/10.1016/j.infsof.2017.01.002openalex-snapshot
Analyzing and predicting effort associated with finding and fixing software faults
inferredcites →https://doi.org/10.1016/j.infsof.2019.05.007openalex-snapshot
An HMM-based approach for automatic detection and classification of duplicate bug reports
inferredcites →https://doi.org/10.1016/j.infsof.2020.106314openalex-snapshot
LTRWES: A new framework for security bug report detection
inferredcites →https://doi.org/10.1016/j.infsof.2020.106334openalex-snapshot
ManQ: Many-objective optimization-based automatic query reduction for IR-based bug localization
inferredcites →https://doi.org/10.1016/j.infsof.2020.106344openalex-snapshot
Efficient feature extraction model for validation performance improvement of duplicate bug report detection in software bug triage systems
inferredcites →https://doi.org/10.1016/j.infsof.2020.106410openalex-snapshot
Laprob: A Label propagation-Based software bug localization method
inferredcites →https://doi.org/10.1016/j.infsof.2020.106474openalex-snapshot
Method-level bug localization using hybrid multi-objective search
inferredcites →https://doi.org/10.1016/j.infsof.2021.106665openalex-snapshot
“Won’t We Fix this Issue?” Qualitative characterization and automated identification of wontfix issues on GitHub
inferredcites →https://doi.org/10.1016/j.infsof.2021.106668openalex-snapshot
Crowdsourced test report prioritization considering bug severity
inferredcites →https://doi.org/10.1016/j.ins.2018.09.001openalex-snapshot
An analysis of hierarchical text classification using word embeddings
inferredcites →https://doi.org/10.1016/j.ins.2019.12.002openalex-snapshot
Hybrid query expansion using lexical resources and word embeddings for sentence retrieval in question answering
inferredcites →https://doi.org/10.1016/j.patcog.2008.05.018openalex-snapshot
Learning a Mahalanobis distance metric for data clustering and classification
inferredcites →https://doi.org/10.1016/s0306-4573(02)00021-3openalex-snapshot
An information-theoretic perspective of tf–idf measures
inferredcites →https://doi.org/10.1023/a:1008202821328openalex-snapshot
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1038/s41586-019-1335-8openalex-snapshot
Unsupervised word embeddings capture latent knowledge from materials science literature
inferredcites →https://doi.org/10.1073/pnas.1720347115openalex-snapshot
Word embeddings quantify 100 years of gender and ethnic stereotypes
inferredcites →https://doi.org/10.1093/nar/gkw226openalex-snapshot
DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences
inferredcites →https://doi.org/10.1103/physreve.81.066114openalex-snapshot
How clustering affects the bond percolation threshold in complex networks
inferredcites →https://doi.org/10.1109/apsec18022.2010openalex-snapshot
2010 Asia Pacific Software Engineering Conference
inferredcites →https://doi.org/10.1109/asru31144.2013openalex-snapshot
2013 IEEE Workshop on Automatic Speech Recognition and Understanding
inferredcites →https://doi.org/10.1109/hsi30282.2012openalex-snapshot
2012 5th International Conference on Human System Interactions
inferredcites →https://doi.org/10.1109/iccic20265.2012openalex-snapshot
2012 IEEE International Conference on Computational Intelligence and Computing Research
inferredcites →https://doi.org/10.1109/icde.1998.655751openalex-snapshot
Proceedings 14th International Conference on Data Engineering
inferredcites →https://doi.org/10.1109/icsme40770.2018openalex-snapshot
2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)
inferredcites →https://doi.org/10.1109/issre33786.2014openalex-snapshot
2014 IEEE 25th International Symposium on Software Reliability Engineering
inferredcites →https://doi.org/10.1109/msr35293.2015openalex-snapshot
2015 IEEE/ACM 12th Working Conference on Mining Software Repositories
inferredcites →https://doi.org/10.1109/qrs36437.2015openalex-snapshot
2015 IEEE International Conference on Software Quality, Reliability and Security
inferredcites →https://doi.org/10.1109/taslp.2018.2879399openalex-snapshot
Automatic Audio Chord Recognition With MIDI-Trained Deep Feature and BLSTM-CRF Sequence Decoding Model
inferredcites →https://doi.org/10.1109/tcbb.2018.2789880openalex-snapshot
ProtDet-CCH: Protein Remote Homology Detection by Combining Long Short-Term Memory and Ranking Methods
inferredcites →https://doi.org/10.1109/tfuzz.2020.2966182openalex-snapshot
Determine the Number of Unknown Targets in Open World Based on Elbow Method
inferredcites →https://doi.org/10.1109/tit.1967.1053964openalex-snapshot
Nearest neighbor pattern classification
inferredcites →https://doi.org/10.1109/tpami.2002.1017616openalex-snapshot
An efficient k-means clustering algorithm: analysis and implementation
inferredcites →https://doi.org/10.1109/tse.2008.35openalex-snapshot
Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings
inferredcites →https://doi.org/10.1109/tse.2015.2479232openalex-snapshot
Mapping Bug Reports to Relevant Files: A Ranking Model, a Fine-Grained Benchmark, and Feature Evaluation
inferredcites →https://doi.org/10.1109/tse.2017.2787653openalex-snapshot
Text Filtering and Ranking for Security Bug Report Prediction
inferredcites →https://doi.org/10.1136/bmj.312.7047.1654openalex-snapshot
Statistics notes: Measurement error
inferredcites →https://doi.org/10.1145/1008992.1009024openalex-snapshot
Dependence language model for information retrieval
inferredcites →https://doi.org/10.1145/1015330.1015404openalex-snapshot
Entropy-based criterion in categorical clustering
inferredcites →https://doi.org/10.1145/1806799.1806811openalex-snapshot
A discriminative model approach for accurate duplicate bug report retrieval
inferredcites →https://doi.org/10.1145/1835804.1835821openalex-snapshot
Beyond heuristics
inferredcites →https://doi.org/10.1145/2695664.2695872openalex-snapshot
Predicting severity of bug report by mining bug repository with concept profile
inferredcites →https://doi.org/10.1201/9781315373515-2openalex-snapshot
Feature Selection for Clustering: A Review
inferredcites →https://doi.org/10.1207/s15516709cog1402_1openalex-snapshot
Finding Structure in Time
inferredcites →https://doi.org/10.1609/aaai.v33i01.33016326openalex-snapshot
Training Temporal Word Embeddings with a Compass
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.18653/v1/p18-1027openalex-snapshot
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
inferredcites →https://doi.org/10.48550/arxiv.1105.0121openalex-snapshot
Methods of Hierarchical Clustering
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1411.2738openalex-snapshot
word2vec Parameter Learning Explained
inferredcites →https://doi.org/10.48550/arxiv.1506.07503openalex-snapshot
Attention-Based Models for Speech Recognition
inferredcites →https://doi.org/10.48550/arxiv.1511.08630openalex-snapshot
A C-LSTM Neural Network for Text Classification
inferredcites →https://doi.org/10.48550/arxiv.1802.01059openalex-snapshot
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features
inferredcites →https://doi.org/10.48550/arxiv.1905.06872openalex-snapshot
Better Security Bug Report Classification via Hyperparameter Optimization

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110941openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2022.107057openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2023.107165openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2023.107190openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2023.107250openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2023.107354openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2025.121956openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jss.2023.111672openalex-snapshot
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inferred← citeshttps://doi.org/10.1049/sfw2.12133openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2025.3564818openalex-snapshot
Leveraging Cross-Project Similarity for Data Augmentation and Security Bug Report Prediction
inferred← citeshttps://doi.org/10.1109/issre59848.2023.00053openalex-snapshot
IFCM: An improved Fuzzy C-means clustering method to handle Class Overlap on Aging-related Software Bug Prediction
inferred← citeshttps://doi.org/10.1109/jstars.2023.3298942openalex-snapshot
Unsupervised Transformer Balanced Hashing for Multispectral Remote Sensing Image Retrieval
inferred← citeshttps://doi.org/10.1109/prdc59308.2023.00010openalex-snapshot
An Empirical Analysis of Rebalancing Methods for Security Issue Report Identification
inferred← citeshttps://doi.org/10.1109/saner-c67878.2026.00039openalex-snapshot
Evaluating Large Language Models for Security Bug Report Prediction
inferred← citeshttps://doi.org/10.1145/3671016.3671379openalex-snapshot
Enhancing Deep Learning Vulnerability Detection through Imbalance Loss Functions: An Empirical Study
inferred← citeshttps://doi.org/10.1145/3750040openalex-snapshot
Learning Software Bug Reports: A Systematic Literature Review
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