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Computing reliability: On the differences between software testing and software fault injection techniques

  • Published:2017-05 Issue: Volume:50 Page:102-112
  • ISSN:0141-9331
  • Container-title:Microprocessors and Microsystems
  • language:en
  • Short-container-title:Microprocessors and Microsystems

Author:

Kooli Maha,Kaddachi Firas,Natale Giorgio Di,Bosio Alberto,Benoit Pascal,Torres Lionel

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference73 articles.

1. IEEE Std. 1633-2008 IEEE Recommended Practice on Software Reliability (2008) c1–72. 10.1109/IEEESTD.2008.4554206.

2. Software faults: a quantifiable definition;Munson;Adv. Eng. Softw.,2006

3. A systematic methodology to compute the architectural vulnerability factors for a high-performance microprocessor;Mukherjee,2003

4. Razor: circuit-level correction of timing errors for low-power operation;Ernst;IEEE Micro,2004

5. Multicore soft error rate stabilization using adaptive dual modular redundancy;Vadlamani,2010

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1. Optimizing Mutation-Based Fault Localization Through Contribution-Based Test Case Reduction;International Journal of Software Engineering and Knowledge Engineering;2024-07-05

2. Delta4Ms: Improving mutation‐based fault localization by eliminating mutant bias;Software Testing, Verification and Reliability;2024-01-16

3. Software testing and release decision at different statistical confidence levels with consideration of debuggers’ learning and negligent factors;International Journal of Industrial Engineering Computations;2024

4. SGS: Mutant Reduction for Higher-order Mutation-based Fault Localization;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06

5. Improving the Performance of Mutation-based Fault Localization via Mutant Bias Practical Experience Report;2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE);2022-10
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