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Computer Science > Software Engineering

arXiv:2012.03759 (cs)
[Submitted on 7 Dec 2020]

Title:Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

Authors:Igor Lima, Jefferson Silva, Breno Miranda, Gustavo Pinto, Marcelo d'Amorim
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Abstract:Context. JavaScript is a popular programming language today with several implementations competing for market dominance. Although a specification document and a conformance test suite exist to guide engine development, bugs occur and have important practical consequences. Implementing correct engines is challenging because the spec is intentionally incomplete and evolves frequently. Objective. This paper investigates the use of test transplantation and differential testing for revealing functional bugs in JavaScript engines. The former technique runs the regression test suite of a given engine on another engine. The latter technique fuzzes existing inputs and then compares the output produced by different engines with a differential oracle. Method. We conducted experiments with engines from five major players-Apple, Facebook, Google, Microsoft, and Mozilla-to assess the effectiveness of test transplantation and differential testing. Results. Our results indicate that both techniques revealed several bugs, many of which confirmed by developers. We reported 35 bugs with test transplantation (23 of these bugs confirmed and 19 fixed) and reported 24 bugs with differential testing (17 of these confirmed and 10 fixed). Results indicate that most of these bugs affected two engines-Apple's JSC and Microsoft's ChakraCore (24 and 26 bugs, respectively). To summarize, our results show that test transplantation and differential testing are easy to apply and very effective in finding bugs in complex software, such as JavaScript engines.
Comments: 32 pages, 2 figuras
Subjects: Software Engineering (cs.SE)
Cite as: arXiv:2012.03759 [cs.SE]
  (or arXiv:2012.03759v1 [cs.SE] for this version)
  https://doi.org/10.48550/arXiv.2012.03759
Journal reference: Software Quality Journal 2021

Submission history

From: Gustavo Pinto [view email]
[v1] Mon, 7 Dec 2020 14:53:26 UTC (474 KB)
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