자료유형  

 학위논문

Control Number  

0016931383

International Standard Book Number  

9798379754686

Dewey Decimal Classification Number  

004

Main Entry-Personal Name  

Pashakhanloo, Pardis.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Pennsylvania., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(132 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 84-12, Section: A.

General Note  

Advisor: Naik, Mayur.

Dissertation Note  

Thesis (Ph.D.)--University of Pennsylvania, 2023.

Restrictions on Access Note  

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

Summary, Etc.  

요약In recent years, deep learning techniques have made remarkable strides in solving a variety of program understanding challenges. The successful application of these techniques to a given task depends heavily on how the source code is represented by the deep neural network. Designing a suitable representation for a newly created task involves many challenges. It is necessary, among other things, to understand the implementation of other functions or modules in a project that may be spread out across a large lexical area. In addition, determining which components and features to include in order to enrich the representation is a challenge. In this dissertation, the challenges of code representation are addressed by proposing to systematically represent programs as relational databases, introducing a graph walk mechanism to remove unrelated context from large relational graphs, and describing a language for specifying tasks and program analysis queries to tailor neural code-reasoning models. A detailed analysis shows the presented techniques are superior to state-of-the-art in a variety of aspects, such as performance, robustness, and interpretability.

Subject Added Entry-Topical Term  

Computer science.

Subject Added Entry-Topical Term  

Information science.

Index Term-Uncontrolled  

Bug finding

Index Term-Uncontrolled  

Deep learning

Index Term-Uncontrolled  

Program analysis

Index Term-Uncontrolled  

Software security

Added Entry-Corporate Name  

University of Pennsylvania Computer and Information Science

Host Item Entry  

Dissertations Abstracts International. 84-12A.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:642119