2 Search Results for "Alimadadi, Saba"

Document
DOI: 10.4230/LIPIcs.ECOOP.2025.9
Event Race Detection for Node.js Using Delay Injections

Authors: Andre Takeshi Endo and Anders Møller

Published in: LIPIcs, Volume 333, 39th European Conference on Object-Oriented Programming (ECOOP 2025)

Abstract
Node.js is a widely used platform for building JavaScript server-side web applications, desktop applications, and software engineering tools. Its asynchronous execution model is essential for performance, but also gives rise to event races, which cause many subtle bugs that can be hard to detect and reproduce. Current solutions to expose such races are based on modifications of the source code of the Node.js system or on guided executions using complex happens-before modeling. This paper presents a simpler and more effective approach called NACD that works by dynamically instrumenting core asynchronous operations in the Node.js runtime system to inject delays and thereby reveal event race bugs. It consists of a small, robust runtime instrumentation module implemented in JavaScript that is configured by a flexible JSON model of the essential parts of the Node.js API. Experimental results show that NACD can reproduce event race bugs with higher probability and fewer runs than state-of-the-art tools.
Cite as

Andre Takeshi Endo and Anders Møller. Event Race Detection for Node.js Using Delay Injections. In 39th European Conference on Object-Oriented Programming (ECOOP 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 333, pp. 9:1-9:28, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

Copy BibTex To Clipboard

@InProceedings{endo_et_al:LIPIcs.ECOOP.2025.9,
  author =	{Endo, Andre Takeshi and M{\o}ller, Anders},
  title =	{{Event Race Detection for Node.js  Using Delay Injections}},
  booktitle =	{39th European Conference on Object-Oriented Programming (ECOOP 2025)},
  pages =	{9:1--9:28},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-373-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{333},
  editor =	{Aldrich, Jonathan and Silva, Alexandra},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2025.9},
  URN =		{urn:nbn:de:0030-drops-233026},
  doi =		{10.4230/LIPIcs.ECOOP.2025.9},
  annote =	{Keywords: JavaScript, race conditions, flaky tests, event races, callback interleaving}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2015.321
Hybrid DOM-Sensitive Change Impact Analysis for JavaScript

Authors: Saba Alimadadi, Ali Mesbah, and Karthik Pattabiraman

Published in: LIPIcs, Volume 37, 29th European Conference on Object-Oriented Programming (ECOOP 2015)

Abstract
JavaScript has grown to be among the most popular programming languages. However, performing change impact analysis on JavaScript applications is challenging due to features such as the seamless interplay with the DOM, event-driven and dynamic function calls, and asynchronous client/server communication. We first perform an empirical study of change propagation, the results of which show that the DOM-related and dynamic features of JavaScript need to be taken into consideration in the analysis since they affect change impact propagation. We propose a DOM-sensitive hybrid change impact analysis technique for Javascript through a combination of static and dynamic analysis. The proposed approach incorporates a novel ranking algorithm for indicating the importance of each entity in the impact set. Our approach is implemented in a tool called Tochal. The results of our evaluation reveal that Tochal provides a more complete analysis compared to static or dynamic methods. Moreover, through an industrial controlled experiment, we find that Tochal helps developers by improving their task completion duration by 78% and accuracy by 223%.
Cite as

Saba Alimadadi, Ali Mesbah, and Karthik Pattabiraman. Hybrid DOM-Sensitive Change Impact Analysis for JavaScript. In 29th European Conference on Object-Oriented Programming (ECOOP 2015). Leibniz International Proceedings in Informatics (LIPIcs), Volume 37, pp. 321-345, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

Copy BibTex To Clipboard

@InProceedings{alimadadi_et_al:LIPIcs.ECOOP.2015.321,
  author =	{Alimadadi, Saba and Mesbah, Ali and Pattabiraman, Karthik},
  title =	{{Hybrid DOM-Sensitive Change Impact Analysis for JavaScript}},
  booktitle =	{29th European Conference on Object-Oriented Programming (ECOOP 2015)},
  pages =	{321--345},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-86-6},
  ISSN =	{1868-8969},
  year =	{2015},
  volume =	{37},
  editor =	{Boyland, John Tang},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2015.321},
  URN =		{urn:nbn:de:0030-drops-52280},
  doi =		{10.4230/LIPIcs.ECOOP.2015.321},
  annote =	{Keywords: Change impact analysis, JavaScript, hybrid analysis}
}
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