Sumeyye Suslu

ORCID Identifier(s)

0000-0001-9016-2676

Graduation Semester and Year

2018

Language

English

Document Type

Thesis

Degree Name

Master of Science in Computer Science

Department

Computer Science and Engineering

First Advisor

Christoph Csallner

Abstract

Currently, JavaScript is one of the mostly used programming languages for Web and Mobile platforms. This brings a large demand for optimization and smarter resource allocation of the applications written in JavaScript. Partial evaluation is a program transformation technique which rewrites a program by evaluating it with respect to its known variables. Recently, Facebook proposed Prepack: A partial evaluator for JavaScript which will make original program shorter and faster by performing both concrete and symbolic evaluation (concolic evaluation). Although it is proposed as a planned improvement, symbolic evaluation engine currently does not implement an SMT solver. In this work, a JavaScript symbolic partial evaluator (JSSpe) is designed using Babel plugin and it is connected to the Microsoft-Z3 SMT solver to investigate its contribution to its performance. Several test scenarios are experimented in order to show the performance enhancements through using an SMT solver in partial evaluator design.

Keywords

Partial evaluation, Symbolic execution, SMT solver

Disciplines

Computer Sciences | Physical Sciences and Mathematics

Comments

Degree granted by The University of Texas at Arlington

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