Using finite-state models for log differencing

Hen Amar, Lingfeng Bao, Nimrod Busany, David Lo, Shahar Maoz

Abstract

Much work has been published on extracting various kinds of models from logs that document the execution of running systems. In many cases, however, for example in the context of evolution, testing, or malware analysis, engineers are interested not only in a single log but in a set of several logs, each of which originated from a different set of runs of the system at hand. Then, the difference between the logs is the main target of interest.

BibTeX

@inproceedings{Amar-al:FSE18,
  author    = {Hen Amar and
               Lingfeng Bao and
               Nimrod Busany and
               David Lo and
               Shahar Maoz},
  title     = {Using finite-state models for log differencing},
  booktitle = {{ESEC/SIGSOFT} {FSE}},
  pages     = {49--59},
  publisher = {{ACM}},
  year      = {2018},
}

Using finite-state models for log differencing

Abstract

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