國立虎尾科技大學 |

An Investigation of ChatGPT’s Efficacy in Localizing CWE Vulnerabilities and Delivering Remediated Techniques.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	An Investigation of ChatGPT’s Efficacy in Localizing CWE Vulnerabilities and Delivering Remediated Techniques./
作者:	Hui, Ellen S. W.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	128 p.
附註:	Source: Masters Abstracts International, Volume: 85-05.
Contained By:	Masters Abstracts International85-05.
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30570819
ISBN:	9798380854399

An Investigation of ChatGPT’s Efficacy in Localizing CWE Vulnerabilities and Delivering Remediated Techniques.
Hui, Ellen S. W.

An Investigation of ChatGPT’s Efficacy in Localizing CWE Vulnerabilities and Delivering Remediated Techniques. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 128 p.

Source: Masters Abstracts International, Volume: 85-05.

Thesis (M.S.)--New York University Tandon School of Engineering, 2023.

This item must not be sold to any third party vendors.

The rising popularity of large language models and other forms of artificial intelligence has influenced researchers to explore their reliability and applications in large hardware and software systems. Motivated by this context, this thesis will evaluate the performance of OpenAI’s ChatGPT 3.5 which encompasses prompt engineering, code summarization, bug detection, and code repair. The primary focus of this project is targeting Common Weakness Enumeration (CWE) software vulnerabilities, and investigating ChatGPT 3.5’s abilities to localize CWE bugs, respond diversely, and provide effective solutions with minimal provided context. The study demonstrates that ChatGPT is capable of effectively detecting and localizing CWE vulnerabilities, but fails to provide a diverse range of fix methods that adheres to the Confidentiality, Integrity, and Availability (CIA) triad.

ISBN: 9798380854399Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Common Weakness Enumeration

An Investigation of ChatGPT’s Efficacy in Localizing CWE Vulnerabilities and Delivering Remediated Techniques.
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100 1 $a Hui, Ellen S. W. $3 1437749
245 1 3 $a An Investigation of ChatGPT’s Efficacy in Localizing CWE Vulnerabilities and Delivering Remediated Techniques.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 128 p.
500 $a Source: Masters Abstracts International, Volume: 85-05.
500 $a Advisor: Karri, Ramesh;Pearce, Hammond.
502 $a Thesis (M.S.)--New York University Tandon School of Engineering, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a The rising popularity of large language models and other forms of artificial intelligence has influenced researchers to explore their reliability and applications in large hardware and software systems. Motivated by this context, this thesis will evaluate the performance of OpenAI’s ChatGPT 3.5 which encompasses prompt engineering, code summarization, bug detection, and code repair. The primary focus of this project is targeting Common Weakness Enumeration (CWE) software vulnerabilities, and investigating ChatGPT 3.5’s abilities to localize CWE bugs, respond diversely, and provide effective solutions with minimal provided context. The study demonstrates that ChatGPT is capable of effectively detecting and localizing CWE vulnerabilities, but fails to provide a diverse range of fix methods that adheres to the Confidentiality, Integrity, and Availability (CIA) triad.
590 $a School code: 1988.
650 4 $a Computer science. $3 573171
650 4 $a Electrical engineering. $3 596380
653 $a Common Weakness Enumeration
653 $a Confidentiality, Integrity, and Availability
653 $a ChatGPT
653 $a Software systems
690 $a 0800
690 $a 0984
690 $a 0544
710 2 $a New York University Tandon School of Engineering. $b Electrical & Computer Engineering. $3 1437750
773 0 $t Masters Abstracts International $g 85-05.
790 $a 1988
791 $a M.S.
792 $a 2023
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30570819