Výsledky vyhledávání - "Traceable Code Patterns"

A Software Vulnerability Prediction Model Using Traceable Code Patterns and Software Metrics

Autoři: Kazi Zakia Sultana Charles B. Boyd Byron J. Williams

Zdroj: SN Computer Science. 4

Towards a software vulnerability prediction model using traceable code patterns and software metrics

Autoři: Kazi Zakia Sultana

Zdroj: 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE). :1022-1025

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/8115724/
https://www.researchwithnj.com/en/publications/towards-a-software-vulnerability-prediction-model-using-traceable
https://dblp.uni-trier.de/db/conf/kbse/ase2017.html#Sultana17
http://dblp.uni-trier.de/db/conf/kbse/ase2017.html#Sultana17
https://researchwith.montclair.edu/en/publications/towards-a-software-vulnerability-prediction-model-using-traceable
https://digitalcommons.montclair.edu/compusci-facpubs/592/

The Relationship between Traceable Code Patterns and Code Smells

Autoři: Byron J. Williams Zadia Codabux Kazi Zakia Sultana

Zdroj: International Conferences on Software Engineering and Knowledge Engineering. 2017:444-449

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/seke/seke2017.html#CodabuxSW17
http://ksiresearchorg.ipage.com/seke/seke17paper/seke17paper_121.pdf
http://dblp.uni-trier.de/db/conf/seke/seke2017.html#CodabuxSW17
https://digitalcommons.montclair.edu/compusci-facpubs/582/

A software vulnerability prediction model using traceable code patterns and software metrics

Autoři: Byron J. Williams Eric Hansen Sarah B. Lee a další

Témata: Mississippi State University. Computer Science and Engineering, Text, dissertations., Academic theses, Academic theses., Thèses et écrits académiques.

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06122018-215653/

A Software Vulnerability Prediction Model Using Traceable Code Patterns And Software Metrics

Autoři: Sultana, Kazi Zakia

Zdroj: Theses and Dissertations

Témata: vulnerability, software security, software quality, software testing, software metrics, nano-patterns, micro patterns

Popis souboru: application/pdf

Relation: https://scholarsjunction.msstate.edu/td/260; https://scholarsjunction.msstate.edu/context/td/article/1259/viewcontent/Kazi_Sultana_Dissertation.pdf

Dostupnost: https://scholarsjunction.msstate.edu/td/260
https://scholarsjunction.msstate.edu/context/td/article/1259/viewcontent/Kazi_Sultana_Dissertation.pdf

A Deep Learning approach to predict software bugs using micro patterns and software metrics

Autoři: Brumfield, Marcus

Zdroj: Theses and Dissertations

Témata: Deep Learning, Traceable Code Patterns, Software Metrics

Popis souboru: application/pdf

Relation: https://scholarsjunction.msstate.edu/td/101; https://scholarsjunction.msstate.edu/context/td/article/1100/viewcontent/Marcus_Brumfield_Thesis.pdf

Dostupnost: https://scholarsjunction.msstate.edu/td/101
https://scholarsjunction.msstate.edu/context/td/article/1100/viewcontent/Marcus_Brumfield_Thesis.pdf

A Software Vulnerability Prediction Model Using Traceable Code Patterns And Software Metrics

Autoři: Sultana, Kazi Zakia

Zdroj: Theses and Dissertations.

Témata: vulnerability, software security, software quality, software testing, software metrics, nano-patterns, micro patterns

Popis souboru: application/pdf

Dostupnost: https://scholarsjunction.msstate.edu/td/260
https://scholarsjunction.msstate.edu/cgi/viewcontent.cgi?article=1259&context=td

A Deep Learning approach to predict software bugs using micro patterns and software metrics

Autoři: Brumfield, Marcus

Zdroj: Theses and Dissertations.

Témata: Deep Learning, Traceable Code Patterns, Software Metrics

Popis souboru: application/pdf

Dostupnost: https://scholarsjunction.msstate.edu/td/101
https://scholarsjunction.msstate.edu/cgi/viewcontent.cgi?article=1100&context=td

The Relationship Between Code Smells and Traceable Patterns - Are They Measuring the Same Thing?

Autoři: Codabux, Zadia Sultana, Kazi Zakia Williams, Byron J.

Zdroj: International Journal of Software Engineering & Knowledge Engineering; Dec2017, Vol. 27 Issue 9/10, p1529-1547, 19p

Témata: COMPUTER software quality control, SOURCE code, WEB-based user interfaces, PATTERN recognition systems, STATISTICAL correlation

Mining Fine-Grained Code Change Patterns Using Multiple Feature Analysis.

Autoři: Liu, Di Feng, Yang

Zdroj: International Journal of Software Engineering & Knowledge Engineering; Jan2025, Vol. 35 Issue 1, p111-138, 28p

Témata: SOFTWARE refactoring, COMPUTER software development, WORD order, STATISTICAL sampling, SYNTAX (Grammar), PYTHONS

Technical debt as an indicator of software security risk: a machine learning approach for software development enterprises.

Autoři: Siavvas, Miltiadis Tsoukalas, Dimitrios Jankovic, Marija a další

Zdroj: Enterprise Information Systems; May2022, Vol. 16 Issue 5, p1-43, 43p

Témata: COMPUTER software security, COMPUTER software development, DEBT, SOFTWARE engineering, BUSINESS enterprises, SOFTWARE product line engineering, MACHINE learning

The Technical Debt Density Over Multiple Releases and the Refactoring Story.

Autoři: BenIdris, Mrwan Ammar, Hany Dzielski, Dale

Zdroj: International Journal of Software Engineering & Knowledge Engineering; Jan2021, Vol. 31 Issue 1, p99-116, 18p

Témata: COMPUTER software development, ODORS, DEBT, SYSTEMS software, DENSITY

Empirical study of the relationship between design patterns and code smells.

Autoři: Alfadel, Mahmoud Aljasser, Khalid Alshayeb, Mohammad

Zdroj: PLoS ONE; 4/16/2020, Vol. 15 Issue 4, p1-35, 35p

Témata: ODORS, EMPIRICAL research, SYSTEMS software, NEURAL codes, STATISTICAL association, SMELL

Software Design Smell Detection: a systematic mapping study.

Autoři: Alkharabsheh, Khalid Crespo, Yania Manso, Esperanza a další

Zdroj: Software Quality Journal; Sep2019, Vol. 27 Issue 3, p1069-1148, 80p

Témata: DESIGN software, ODORS, COMPUTER software quality control, WEB-based user interfaces, CONCEPTUAL models, COMPUTER software reusability

The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models.

Autoři: Maltesque, Guest Editors Kaya, Aydin Keceli, Ali Seydi a další

Zdroj: Journal of Software: Evolution & Process; Sep2019, Vol. 31 Issue 9, pN.PAG-N.PAG, 1p

Témata: RANDOM forest algorithms, PREDICTION models, SECURITY systems software, COMPUTER security vulnerabilities, COMPUTER software testing, CLASSIFICATION algorithms

Integrating Artificial Intelligence in Cybersecurity and Forensic Practices

Autoři: Marwan Omar Hewa Majeed Zangana Derek Mohammed

Resource Type: eBook.

Témata: Computer security, Digital forensic science, Artificial intelligence

Categories: COMPUTERS / Security / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Forensics

Computer Security – ESORICS 2024

Autoři: Joaquin Garcia-Alfaro Rafał Kozik Michał Choraś a další

Resource Type: eBook.

Témata: Data protection, Cryptography, Data encryption (Computer science), Computer networks—Security measures, Computer networks, Computer systems

Categories: COMPUTERS / Security / General, COMPUTERS / Computer Architecture, COMPUTERS / Networking / General, COMPUTERS / Security / Network Security, COMPUTERS / Hardware / General, COMPUTERS / Security / Cryptography & Encryption

Computational Science and Its Applications – ICCSA 2022 Workshops

Autoři: Osvaldo Gervasi Beniamino Murgante Sanjay Misra a další

Resource Type: eBook.

Témata: Software engineering, Computer engineering, Computer networks, Computer systems

Categories: COMPUTERS / Networking / General, COMPUTERS / Computer Architecture, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Hardware / General

Security and Privacy in New Computing Environments

Autoři: Wenbo Shi Xiaofeng Chen Kim-Kwang Raymond Choo

Resource Type: eBook.

Témata: Computer networks, Data protection, Application software, Artificial intelligence

Categories: COMPUTERS / Networking / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Security / General