Understanding asynchronous interactions in full-stack JavaScript

Alimadadi, Saba; Mesbah, Ali; Pattabiraman, Karthik

doi:10.1145/2884781.2884864

Cited by 42 publications

(26 citation statements)

References 31 publications

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“…We selected server-side Node.js applications which are popular (Stargazers count ≥ 100) and mature (number of commits > 200), and have been actively maintained (year of the latest commit ≥ 2017). We currently focus on Node.js because it is emerging as one of the most pervasive technologies to enable using JavaScript in the server side, leading to the so-called full-stack web applications [1]. We examined the GitHub repository of each retrieved subject system to ensure that bugs were properly tracked and labeled.…”

Section: A Subject Systems Selectionmentioning

confidence: 99%

“…JavaScript (JS) is the de-facto web programming language globally 1 , and the most adopted language on GitHub 2 . JavaScript is massively used in the client-side of web applications to achieve high responsiveness and user friendliness.…”

Section: Introductionmentioning

confidence: 99%

“…JavaScript is massively used in the client-side of web applications to achieve high responsiveness and user friendliness. In recent years, due to its flexibility and effectiveness, it has been increasingly adopted also for server-side development, leading to full-stack web applications [1]. Platforms such as Node.js 3 allow developers to conveniently develop both the front-and back-end of the applications entirely in JavaScript.…”

Section: Introductionmentioning

confidence: 99%

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BugsJS: a Benchmark of JavaScript Bugs

Gyimesi

Vancsics

Stocco

et al. 2019

2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST)

Self Cite

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JavaScript is a popular programming language that is also error-prone due to its asynchronous, dynamic, and loosely-typed nature. In recent years, numerous techniques have been proposed for analyzing and testing JavaScript applications. However, our survey of the literature in this area revealed that the proposed techniques are often evaluated on different datasets of programs and bugs. The lack of a commonly used benchmark limits the ability to perform fair and unbiased comparisons for assessing the efficacy of new techniques. To fill this gap, we propose BUGSJS, a benchmark of 453 real, manually validated JavaScript bugs from 10 popular JavaScript server-side programs, comprising 444k LOC in total. Each bug is accompanied by its bug report, the test cases that detect it, as well as the patch that fixes it. BUGSJS features a rich interface for accessing the faulty and fixed versions of the programs and executing the corresponding test cases, which facilitates conducting highly-reproducible empirical studies and comparisons of JavaScript analysis and testing tools.

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Section: A Subject Systems Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

BugsJS: a Benchmark of JavaScript Bugs

Gyimesi

Vancsics

Stocco

et al. 2019

2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST)

Self Cite

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“…FireDetective [Matthijssen et al 2010] focuses on Java-based server-side implementations and shows what JavaScript code triggers what Java code via asynchronous requests. Sahand [Alimadadi et al 2016] addresses applications where both the client-side and the server-side are implemented in JavaScript. The approach summarizes an execution into a directed graph that represents function executions and their causal relationships.…”

Section: Visualization For Program Understandingmentioning

confidence: 99%

A Survey of Dynamic Analysis and Test Generation for JavaScript

et al. 2017

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JavaScript has become one of the most prevalent programming languages. Unfortunately, some of the unique properties that contribute to this popularity also make JavaScript programs prone to errors and difficult for program analyses to reason about. These properties include the highly dynamic nature of the language, a set of unusual language features, a lack of encapsulation mechanisms, and the "no crash" philosophy. This paper surveys dynamic program analysis and test generation techniques for JavaScript targeted at improving the correctness, reliability, performance, security, and privacy of JavaScript-based software.CCS Concepts: r General and reference → Surveys and overviews; r Software and its engineering → Software notations and tools; r Security and privacy → Web application security;

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“…JavaScript is a popular language for developing highly interactive web applications, recently also adopted for serverside code [1]. However, JavaScript is an error-prone language, due to its asynchronous, dynamic, and loosely typed nature.…”

Section: Introductionmentioning

confidence: 99%

Poster: Supporting JavaScript Experimentation with BugsJS

Vancsics

Gyimesi

Stocco

et al. 2019

2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST)

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In our recent work, we proposed BUGSJS, a benchmark of several hundred bugs from popular JavaScript serverside programs. In this abstract paper, we report the results of our initial evaluation in adopting BUGSJS to support an experiment in fault localization. First, we describe how BUGSJS facilitated accessing the information required to perform the experiment, namely, test case code, their outcomes, their associated code coverage and related bug information. Second, we illustrate how BUGSJS can be improved to further enable easier application to fault localization research, for instance, by filtering out failing test cases that do not directly contribute to a bug.We hope that our preliminary results will foster researchers in using BUGSJS to enable highly-reproducible empirical studies and comparisons of JavaScript analysis and testing tools.

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Understanding asynchronous interactions in full-stack JavaScript

Cited by 42 publications

References 31 publications

BugsJS: a Benchmark of JavaScript Bugs

BugsJS: a Benchmark of JavaScript Bugs

A Survey of Dynamic Analysis and Test Generation for JavaScript

Poster: Supporting JavaScript Experimentation with BugsJS

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