Behavioral resource-aware model inference

Tony Ohmann, Michael Herzberg, Sebastian Fiss, Armand Halbert, Marc Palyart, Ivan Beschastnikh, Yuriy Brun

Abstract

Software bugs often arise because of differences between what developers think their system does and what the system actually does. These differences frustrate debugging and comprehension efforts. We describe Perfume, an automated approach for inferring behavioral, resource-aware models of software systems from logs of their executions. These finite state machine models ease understanding of system behavior and resource use.

BibTeX

@inproceedings{Ohmann-al:ASE14,
  author    = {Tony Ohmann and
               Michael Herzberg and
               Sebastian Fiss and
               Armand Halbert and
               Marc Palyart and
               Ivan Beschastnikh and
               Yuriy Brun},
  title     = {Behavioral resource-aware model inference},
  booktitle = {ASE},
  pages     = {19--30},
  publisher = {{ACM}},
  year      = {2014},
}

Behavioral resource-aware model inference

Abstract

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