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Mining Traces of Embedded Software Systems for Insights

Published: 20 April 2020 Publication History

Abstract

Embedded safety-critical systems are essential for today's society as we rely on them in all aspects of our life. Should safety-critical systems fail to meet their specified function, then they have the potential to cause harm to people, cause loss of capital infrastructure, or cause significant damage to the environment. Safety-critical systems are becoming increasingly complex; the more complex, the higher the risk of safety hazards for the public. With the increase of automation in driving and other areas, the complexity and criticality of the software will continue to increase drastically. Computer assistance will become essential for humans to get a deep understanding of programs underlying modern systems. Mining specifications and properties from program traces is a promising approach to help humans understand modern complex programs. Understanding temporal dependencies in relation to performance is one aspect of such an endeavour. A specification mined from a system trace can allow the developer to understand, among others, task dependencies, activation patterns, and response triggers. The artefacts produced by mining are useful for system designers, developers, safety managers, and can even provide input for other tools. This talk introduces the concepts behind mining traces of embedded software programs and discusses the challenges of building practical tools.

Cited By

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  • (2024)The Effects of Global Market Changes on Automotive Manufacturing and Embedded SoftwareSustainability10.3390/su1612492616:12(4926)Online publication date: 8-Jun-2024
  • (2021)Model-driven system-performance engineering for cyber-physical systemsProceedings of the 2021 International Conference on Embedded Software10.1145/3477244.3477985(11-22)Online publication date: 30-Sep-2021

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cover image ACM Conferences
ICPE '20: Proceedings of the ACM/SPEC International Conference on Performance Engineering
April 2020
319 pages
ISBN:9781450369916
DOI:10.1145/3358960
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2020

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Author Tags

  1. data mining
  2. embedded systems
  3. software reverse engineering

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  • Keynote

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ICPE '20

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ICPE '20 Paper Acceptance Rate 15 of 62 submissions, 24%;
Overall Acceptance Rate 252 of 851 submissions, 30%

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Cited By

View all
  • (2024)The Effects of Global Market Changes on Automotive Manufacturing and Embedded SoftwareSustainability10.3390/su1612492616:12(4926)Online publication date: 8-Jun-2024
  • (2021)Model-driven system-performance engineering for cyber-physical systemsProceedings of the 2021 International Conference on Embedded Software10.1145/3477244.3477985(11-22)Online publication date: 30-Sep-2021

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