JavaScript code optimization method based on front-end byte code technology

Abstract

The invention discloses a JavaScript code optimization method based on a front-end byte code technology. According to the method, a conversion tool chain from JavaScript to WebAssembly is provided, acode segment merging strategy is designed, and then a JavaScript performance optimization scheme is provided; and variable type information of each execution path of the program is obtained through dynamic symbolic execution, and a code statement according with a conversion condition is obtained through a screening rule, a C code is generated from a JavaScript code by designing a JavaScript 2C conversion rule, and a WebAssembly code segment is generated through Exscript compiling. And finally, the performance and function consistency before and after optimization are compared through a unit test idea, and the optimization of the code segment is given up if the performance is reduced or the functions are inconsistent. On the other hand, a code segment merging strategy is designed, on the basis of the data dependence relation between the code segments, the code segment merging strategy is provided as the basis of user code reconstruction, the purpose of reducing data interaction performance losses is achieved, and the execution efficiency of the program is further improved.

Description

technical field [0001] The invention relates to the technical field of data computer code optimization, and in particular relates to a JavaScript code optimization method based on front-end bytecode technology. Background technique [0002] JavaScript was originally designed as a small scripting language to realize HTML DOM interaction. One of its typical applications is to verify user form input and so on. However, with the development of the Internet, the functions of Web applications are becoming more and more abundant, and the application platforms are also gradually diversified. Due to JavaScript's absolute monopoly in Web application development, it has to serve applications based on computationally intensive operations, such as image processing, virtual reality, and game engines. Although JavaScript has continued to develop over the years, it is still difficult to cope with the huge amount of calculations, especially on platforms with limited computing resources. ...

AI Technical Summary

Problems solved by technology

At present, the optimization of JavaScript is mainly from compiler-level just-in-time compilation, low-level code compilation and partial solution. The optimization scheme of just-in-time compilation has greatly improved the execution of JavaScript, but the wrong data type derivation will lead to de-optimization The performance loss of the process and the running of the monitor during execution will cause performance loss. Low-level code compilation and partial solving have limitations in application range and generality. These optimization solutions cannot solve the problem of a large number of computationally intensive codes performance problem

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