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Enhanced S2E to Trigger Races in Multithreaded Applications.

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Title: Enhanced S2E to Trigger Races in Multithreaded Applications.
Authors: Kutovoi, E. A.1 (AUTHOR) kutovoi.ea@phystech.edu, Niskov, F. V.1 (AUTHOR) fedor.niskov@ispras.ru, Kurmangaleev, Sh. F.1 (AUTHOR) kursh@ispras.ru
Source: Programming & Computer Software. Apr2026, Vol. 52 Issue 2, p82-89. 8p.
Subjects: Emulation software, Computer software testing, Computer software, Software failures, Robotics software, Autonomous vehicles
Abstract: Most critical software developed today relies on multiple threads, a technique that is notoriously difficult to implement correctly. This complexity often leads to concurrency-related bugs, such as data races. Furthermore, emerging trends in robotics and unmanned vehicle software add further complications. These systems are not only multi threaded but also interact with hardware, require specific OS environments, utilize IPC, and demand rigorous testing. In this paper, we build upon a multi core version of S2E to present an algorithm devised to better detect data races in these complex environments. To do so, we leverage S2E's full-system emulation, its plugin infrastructure, and our custom CPU core scheduler. [ABSTRACT FROM AUTHOR]
Copyright of Programming & Computer Software is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Most critical software developed today relies on multiple threads, a technique that is notoriously difficult to implement correctly. This complexity often leads to concurrency-related bugs, such as data races. Furthermore, emerging trends in robotics and unmanned vehicle software add further complications. These systems are not only multi threaded but also interact with hardware, require specific OS environments, utilize IPC, and demand rigorous testing. In this paper, we build upon a multi core version of S2E to present an algorithm devised to better detect data races in these complex environments. To do so, we leverage S2E's full-system emulation, its plugin infrastructure, and our custom CPU core scheduler. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Programming & Computer Software is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Apr2026
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