Leakpair: Proactive Repairing of Memory Leaks in Single Page Web Applications

Arooba Shahoor, Askar Yeltayuly Khamit, Jooyong Yi, Dongsun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Modern web applications often resort to application development frameworks such as React, Vue.js, and Angular. While the frameworks facilitate the development of web applications with several useful components, they are inevitably vulnerable to unmanaged memory consumption since the frameworks often produce Single Page Applications (SPAs). Web applications can be alive for hours and days with behavior loops, in such cases, even a single memory leak in a SPA app can cause performance degradation on the client side. However, recent debugging techniques for web applications still focus on memory leak detection, which requires manual tasks and produces imprecise results. We propose Leakpair,a technique to repair memory leaks in single page applications. Given the insight that memory leaks are mostly non-functional bugs and fixing them might not change the behavior of an application, the technique is designed to proactively generate patches to fix memory leaks, without leak detection, which is often heavy and tedious. To generate effective patches, Leakpairfollows the idea of pattern-based program repair since the automated repair strategy shows successful results in many recent studies. We evaluate the technique on more than 20 open-source projects without using explicit leak detection. The patches generated by our technique are also submitted to the projects as pull requests. The results show that Leakpaircan generate effective patches to reduce memory consumption that are acceptable to developers. In addition, we execute the test suites given by the projects after applying the patches, and it turns out that the patches do not cause any functionality breakage; this might imply that Leakpaircan generate non-intrusive patches for memory leaks.

Original languageEnglish
Title of host publicationProceedings - 2023 38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1175-1187
Number of pages13
ISBN (Electronic)9798350329964
DOIs
StatePublished - 2023
Event38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023 - Echternach, Luxembourg
Duration: 11 Sep 202315 Sep 2023

Publication series

NameProceedings - 2023 38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023

Conference

Conference38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023
Country/TerritoryLuxembourg
CityEchternach
Period11/09/2315/09/23

Keywords

  • memory leaks
  • non-intrusive fixes
  • program repair
  • single page applications

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