Dependability for high-tech systems: an industry-as-laboratory approach
Proceedings of the conference on Design, automation and test in Europe
Model-Based Run-Time Error Detection
Models in Software Engineering
Refining spectrum-based fault localization rankings
Proceedings of the 2009 ACM symposium on Applied Computing
A practical evaluation of spectrum-based fault localization
Journal of Systems and Software
Evaluating Models for Model-Based Debugging
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
An indexing scheme for fast and accurate chemical fingerprint database searching
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
Simultaneous debugging of software faults
Journal of Systems and Software
Combining slicing and constraint solving for better debugging: the CONBAS approach
Advances in Software Engineering
MZoltar: automatic debugging of Android applications
Proceedings of the 2013 International Workshop on Software Development Lifecycle for Mobile
Prevalence of coincidental correctness and mitigation of its impact on fault localization
ACM Transactions on Software Engineering and Methodology (TOSEM)
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Automated diagnosis of errors detected during software testing can improve the efficiency of the debugging process, and can thus help to make software more reliable. In this paper we discuss the application of a specific automated debugging technique, namely software fault localization through the analysis of program spectra, in the area of embedded software in high-volume consumer electronics products. We discuss why the technique is particularly well suited for this application domain, and through experiments on an industrial test case we demonstrate that it can lead to highly accurate diagnoses of realistic errors.