Registered user since Tue 5 Sep 2017
Contributions
Research Papers
Thu 14 Sep 2023 10:54 - 11:06 at Plenary Room 2 - Program Repair 2 Chair(s): Shin Yoo
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, LeakPair follows 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 LeakPair can 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 LeakPair can generate non-intrusive patches for memory leaks.
Link to publication Pre-printTool Demonstrations
Wed 13 Sep 2023 10:42 - 10:54 at Room C - Program Repair 1 Chair(s): Arie van DeursenAs software systems grow larger and more complex, debugging takes up an increasingly significant portion of developers’ time and efforts during software maintenance. To aid software engineers in debugging, many automated debugging and repair techniques have been proposed. Both the development and evaluation of these automated techniques depend on benchmarks of bugs. While many different defect benchmarks have been developed, only a few benchmarks are widely used due to the origin of the collected bugs as well as the usability of the benchmarks themselves, risking a biased research landscape. This paper presents BugsC++, a new benchmark that contains 209 real-world bugs collected from 22 open-source C/C++ projects. BugsC++ aims to provide high usability by providing a similar user interface to the widely used Defects4J. Further, BugsC++ ensures the replicability of the bugs in its collection by encapsulating each buggy program in a Docker container. By providing a highly usable real-world defect benchmark for C/C++, we hope to promote debugging research for C/C++.
Link to publication Pre-print File Attached