Runtime Verification of JavaScript Implementations Using Aspect Oriented Programming and Regular Expressions

Runtime Verification is a software testing technique based on extracting and analyzing information from a system while it is running. The objective is to use this information to find faults or problems in the system under test. To achieve this, it is necessary that the insertion of testing logic does not modify the code being tested and that it does not affect the performance of the system. In this article, we present a runtime testing framework for JavaScript, which utilizes Aspect-Oriented Programming and regular expressions. This framework encapsulates the idea of Message Sequence Specification applied to Runtime Verification. Our work is freely available and open source.

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Published
2024-08-12
DOI
https://doi.org/10.1109/clei64178.2024.10700360
Primary Topic
Advanced Software Engineering Methodologies
Type
article
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article

Runtime Verification of JavaScript Implementations Using Aspect Oriented Programming and Regular Expressions

Luciano H. Tamargo, Martín Leonardo Larrea, Dana K. Urribarri, Luciano Pacione
Advanced Software Engineering Methodologies
article

Runtime Verification of JavaScript Implementations Using Aspect Oriented Programming and Regular Expressions

Luciano H. Tamargo, Martín Leonardo Larrea, Dana K. Urribarri, Luciano Pacione
article en

Abstract

Runtime Verification is a software testing technique based on extracting and analyzing information from a system while it is running. The objective is to use this information to find faults or problems in the system under test. To achieve this, it is necessary that the insertion of testing logic does not modify the code being tested and that it does not affect the performance of the system. In this article, we present a runtime testing framework for JavaScript, which utilizes Aspect-Oriented Programming and regular expressions. This framework encapsulates the idea of Message Sequence Specification applied to Runtime Verification. Our work is freely available and open source.

Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Universidad Nacional del Sur (AR)
Openalex Percentile: Top 85%
Advanced Software Engineering Methodologies
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