Fetching the paper…
Reading the bibliography…
Software vulnerabilities have been continually disclosed and documented.
Predicting Vulnerable Software Components. In Proceedings of the 2007 ACM Conference on Computer and Communications Security, CCS 2007, Alexandria, Virginia, USA, October 28-31, 2007
Stephan Neuhaus, Thomas Zimmermann, Christian Holler, and Andreas Zeller. 2007 · 2007
Earlier work this paper cites.
Wilcoxon signed-rank test
RF Woolson. 2007 · 2007
Earlier work this paper cites.
An Attack Graph Based Probabilistic Security Metric
Lingyu Wang, Tania Islam, Long Tao, Anoop Singhal, and Sushil Jajodia. 2008 · 2008
Earlier work this paper cites.
Beyond heuristics: learning to classify vulnerabilities and predict exploits. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining . 105–114
Mehran Bozorgi, Lawrence K Saul, Stefan Savage, and Geoffrey M Voelker. 2010 · 2010
Earlier work this paper cites.
Using complexity, coupling, and cohesion metrics as early indicators of vulnerabilities
Istehad Chowdhury and Mohammad Zulkernine. 2010 · 2010
Earlier work this paper cites.
Rule-based named entity recognition in Urdu. In Proceedings of the 2010 named entities workshop . Association for Computational Linguistics, 126–135
Kashif Riaz. 2010 · 2010
Earlier work this paper cites.
Deep sparse rectifier neural networks. In Proceedings of the fourteenth international conference on artificial intelligence and statistics . 315–323
Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011 · 2011
Earlier work this paper cites.
Evaluating Complexity, Code Churn, and Developer Activity Metrics as Indicators of Software Vulnerabilities
Yonghee Shin, Andrew Meneely, Laurie Williams, and Jason A Osborne. 2011 · 2011
Earlier work this paper cites.
Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports
Harsha Gurulingappa, Abdul Mateen Rajput, Angus Roberts, Juliane Fluck, Martin Hofmann-Apitius, and Luca Toldo. 2012 · 2012
Earlier work this paper cites.
Techniques and applications for sentiment analysis
Ronen Feldman. 2013 · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems . 3111–3119
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Earlier work this paper cites.
Elements of survey sampling . Vol. 15
Ravindra Singh and Naurang Singh Mangat. 2013 · 2013
Earlier work this paper cites.
Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
The Stanford CoreNLP Natural Language Processing Toolkit. In Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, and David Mcclosky. 2014 · 2014
Earlier work this paper cites.
Predicting vulnerable software components via text mining
Riccardo Scandariato, James Walden, Aram Hovsepyan, and Wouter Joosen. 2014a · 2014
Earlier work this paper cites.
Predicting vulnerable software components via text mining
R Scandariato, J Walden, A Hovsepyan, and W Joosen. 2014b · 2014
Cited alongside, same era.
Neural programmer-interpreters
Scott Reed and Nando De Freitas. 2015 · 2015
Cited alongside, same era.
Ye Zhang and Byron Wallace. 2015 · 2015
Cited alongside, same era.
TensorFlow: A system for large-scale machine learning
Mart¨ªn Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, and Xiaoqiang Zhang. 2016 · 2016
Cited alongside, same era.
Learning a dual-language vector space for domain-specific cross-lingual question retrieval. In IEEE/ACM International Conference
Guibin Chen, Chunyang Chen, Zhenchang Xing, and Bowen Xu. 2016 · 2016
Cited alongside, same era.
Categorizing and Predicting Invalid Vulnerabilities on Common Vulnerabilities and Exposures
Qiuyuan Chen, Lingfeng Bao, Li Li, Xin Xia, and Liang Cai. 2018 · 2018
Later among the works it cites.
Convolutional Recurrent Deep Learning Model for Sentence Classification
Abdalraouf Hassan and Ausif Mahmood. 2018 · 2018
Later among the works it cites.
Universal Language Model Fine-tuning for Text Classification
Jeremy Howard and Sebastian Ruder. 2018 · 2018
Later among the works it cites.
Learning to answer programming questions with software documentation through social context embedding
Jing Li, Aixin Sun, and Zhenchang Xing. 2018 · 2018
Later among the works it cites.
Deep Contextualized Word Representations. In Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Embeddings for word sense disambiguation: An evaluation study. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 897–907
Ignacio Iacobacci, Mohammad Taher Pilehvar, and Roberto Navigli. 2016 · 2016
Cited alongside, same era.
Convolutional neural networks over tree structures for programming language processing. In Thirtieth AAAI Conference on Artificial Intelligence
Lili Mou, Ge Li, Lu Zhang, Tao Wang, and Zhi Jin. 2016 · 2016
Cited alongside, same era.
Improving document ranking with dual word embeddings. In Proceedings of the 25th International Conference Companion on World Wide Web . 83–84
Eric Nalisnick, Bhaskar Mitra, Nick Craswell, and Rich Caruana. 2016 · 2016
Cited alongside, same era.
Automatically learning semantic features for defect prediction. In 2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE) . IEEE, 297–308
Song Wang, Taiyue Liu, and Lin Tan. 2016 · 2016
Cited alongside, same era.
Hydra: Massively compositional model for cross-project defect prediction
Xin Xia, David Lo, Sinno Jialin Pan, Nachiappan Nagappan, and Xinyu Wang. 2016 · 2016
Cited alongside, same era.
Predicting semantically linkable knowledge in developer online forums via convolutional neural network. In 2016 31st IEEE/ACM International Conference on Automated Software Engineering (ASE) . IEEE, 51–62
Bowen Xu, Deheng Ye, Zhenchang Xing, Xin Xia, Guibin Chen, and Shanping Li. 2016a · 2016
Cited alongside, same era.
From word embeddings to document similarities for improved information retrieval in software engineering. In Proceedings of the 38th international conference on software engineering . 404–415
Xin Ye, Hui Shen, Xiao Ma, Razvan Bunescu, and Chang Liu. 2016 · 2016
Cited alongside, same era.
Common Attack Pattern Enumeration and Classification
CAPEC. [n.d.] · 2019
Later among the works it cites.
Common weakness enumeration (CWE)
CWE. [n.d.] · 2019
Later among the works it cites.
Towards the detection of inconsistencies in public security vulnerability reports. In 28th { \{ USENIX } \} Security Symposium ( { \{ USENIX } \} Security 19) . 869–885
Ying Dong, Wenbo Guo, Yueqi Chen, Xinyu Xing, Yuqing Zhang, and Gang Wang. 2019 · 2019
Later among the works it cites.
Joint Prediction of Multiple Vulnerability Characteristics Through Multi-Task Learning. In 2019 24th International Conference on Engineering of Complex Computer Systems (ICECCS) . IEEE, 31–40
Xi Gong, Zhenchang Xing, Xiaohong Li, Zhiyong Feng, and Zhuobing Han. 2019 · 2019
Later among the works it cites.
Word2vec
Google. [n.d.] · 2019
Later among the works it cites.
Common Attack Pattern Enumeration and Classification Submission
Corporation MITRE. [n.d.]a · 2019
Later among the works it cites.
Common Vulnerabilities and Exposures (CVE)
Corporation MITRE. [n.d.]b · 2019
Later among the works it cites.
Yaqing Wang and Quanming Yao. 2019 · 2019
Later among the works it cites.
Embedding and Predicting Software Security Entity Relationships: A Knowledge Graph Based Approach. In International Conference on Neural Information Processing . Springer, 50–63
Hongbo Xiao, Zhenchang Xing, Xiaohong Li, and Hao Guo. 2019 · 2019
Later among the works it cites.
key details phrasing
MITRE Jonathan Evans. 2020 · 2020
Closest in time.