Tutorial: DeepState: Bringing Vulnerability Detection Tools into the Development Cycle

2018 IEEE Cybersecurity Development (SecDev) ◽

10.1109/secdev.2018.00028 ◽

2018 ◽

Cited By ~ 1

Author(s):

Peter Goodman ◽

Gustavo Grieco ◽

Alex Groce

Keyword(s):

Vulnerability Detection ◽

Development Cycle

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Applying user feedback during the product development cycle

PsycEXTRA Dataset ◽

10.1037/e575832012-005 ◽

1999 ◽

Author(s):

Julie A. Adams

Keyword(s):

Product Development ◽

User Feedback ◽

Development Cycle ◽

Product Development Cycle

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Critical role of risk management in reducing development cycle time

10.2514/6.1994-4528 ◽

1994 ◽

Author(s):

George Vlay

Keyword(s):

Risk Management ◽

Cycle Time ◽

Critical Role ◽

Development Cycle

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Software Metrics for Total Development Cycle Evaluation

10.21236/ada246477 ◽

1991 ◽

Author(s):

Ross Grable

Keyword(s):

Software Metrics ◽

Development Cycle

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The Design and Development of the Vulnerability Detection System of Android Platform

Revista de la Facultad de Ingeniería ◽

10.21311/002.31.7.10 ◽

2016 ◽

Keyword(s):

Detection System ◽

Vulnerability Detection ◽

Design And Development ◽

Android Platform

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FTCLNet: Convolutional LSTM with Fourier Transform for Vulnerability Detection

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) ◽

10.1109/trustcom50675.2020.00078 ◽

2020 ◽

Author(s):

Defu Cao ◽

Jing Huang ◽

Xuanyu Zhang ◽

Xianhua Liu

Keyword(s):

Fourier Transform ◽

Vulnerability Detection ◽

Convolutional Lstm

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D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis

2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) ◽

10.1109/icse-seip52600.2021.00020 ◽

2021 ◽

Author(s):

Yunhui Zheng ◽

Saurabh Pujar ◽

Burn Lewis ◽

Luca Buratti ◽

Edward Epstein ◽

...

Keyword(s):

Detection Methods ◽

Differential Analysis ◽

Vulnerability Detection

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Attention-based Machine Learning Model for Smart Contract Vulnerability Detection

Journal of Physics Conference Series ◽

10.1088/1742-6596/1820/1/012004 ◽

2021 ◽

Vol 1820 (1) ◽

pp. 012004

Author(s):

Yuhang Sun ◽

Lize Gu

Keyword(s):

Machine Learning ◽

Learning Model ◽

Vulnerability Detection ◽

Smart Contract ◽

Machine Learning Model

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Source code and binary level vulnerability detection and hot patching

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering ◽

10.1145/3324884.3418914 ◽

2020 ◽

Author(s):

Zhengzi Xu

Keyword(s):

Source Code ◽

Vulnerability Detection

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A novel deep learning-based feature selection model for improving the static analysis of vulnerability detection

Neural Computing and Applications ◽

10.1007/s00521-021-06047-x ◽

2021 ◽

Author(s):

Canan Batur Şahin ◽

Laith Abualigah

Keyword(s):

Feature Selection ◽

Deep Learning ◽

Static Analysis ◽

Selection Model ◽

Vulnerability Detection

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MERLIN: Multi-Language Web Vulnerability Detection

2020 IEEE 19th International Symposium on Network Computing and Applications (NCA) ◽

10.1109/nca51143.2020.9306735 ◽

2020 ◽

Author(s):

Alexandra Figueiredo ◽

Tatjana Lide ◽

David Matos ◽

Miguel Correia

Keyword(s):

Vulnerability Detection

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