BLeak

Author:

Vilk John1,Berger Emery D.1

Affiliation:

1. University of Massachusetts Amherst

Abstract

Memory leaks in web applications are pervasive and difficult to debug. Leaks degrade responsiveness by increasing garbage collection costs and can even lead to browser tab crashes. Previous leak detection approaches designed for conventional applications are ineffective in the browser environment. Tracking down leaks currently requires intensive manual effort by web developers, which is often unsuccessful. This paper introduces BLEAK (Browser Leak debugger), the first system for automatically debugging memory leaks in web applications. BLEAK'S algorithms leverage the observation that in modern web applications, users often repeatedly return to the same (approximate) visual state (e.g., the inbox view in Gmail). Sustained growth between round trips is a strong indicator of a memory leak. To use BLEAK, a developer writes a short script (17-73 LOC on our benchmarks) to drive a web application in round trips to the same visual state. BLEAK then automatically generates a list of leaks found along with their root causes, ranked by return on investment. Guided by BLEAK, we identify and fix over 50 memory leaks in popular libraries and apps including Airbnb, AngularJS, Google Analytics, Google Maps SDK, and jQuery. BLEAK'S median precision is 100%; fixing the leaks it identifies reduces heap growth by an average of 94%, saving from 0.5MB to 8MB per round trip.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference16 articles.

1. Pinpointing the causes of memory leaks. In ICSE, ACM, Cape Town;Clause J.A.;South Africa,2010

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1. Leakpair: Proactive Repairing of Memory Leaks in Single Page Web Applications;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

2. Prioritising test scripts for the testing of memory bloat in web applications;IET Software;2022-03-03

3. Efficient heap monitoring tool for memory leak detection and root-cause analysis;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

4. Automatic Performance Testing for Image Displaying in Android Apps;2021 28th Asia-Pacific Software Engineering Conference (APSEC);2021-12

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