The model is a simulation of an Alarm Clock. A null pointer exception exists in the model.

Classes: 6

SLOC: 125

Parameters: (selector)

alarmClock (4) | ||||

Tool | Trials (successful) | Time | Transition (paths) | Max Depth (error depth) |
---|---|---|---|---|

JPF “Randomized DFS” | 100 (100) 1.00 | 0.84s | 148.30 (0.00) | 71.02 (62.84) |

JPF Stateless Random Walk | 10179 (849) 0.08 | NA | NA (NA) | NA (NA) |

CHESS | 1 (1) 1.00 | 0.33s | 352.00 (3.00) | 72.00 (NA) |

alarmClock (9) | ||||

Tool | Trials (successful) | Time | Transition (paths) | Max Depth (error depth) |

JPF “Randomized DFS” | 100 (100) 1.00 | 0.80s | 152.12 (0.00) | 71.05 (61.97) |

JPF Stateless Random Walk | 10123 (942) 0.09 | NA | NA (NA) | NA (NA) |

- 10,000 Trials of Random Walk
- The ratio of the error discovery trials over the total number of trials is the path error density.

Parameters | Path Error Density |
---|---|

4 | 0.083 |

9 | 0.084 |

- 100 randomized depth-first search trial, where each trial is time-bounded at

one hour. A total of 100 computation hours dedicated in discovering the error.

- 2 MB of RAM allocated on each machine

- The Error Discovering Trials is the number of trials that discovered an error

among the initially launched trials (100).

Parameters | Trials (successful) | Time | Transition (paths) | Max Depth (error depth) | abs time (ms) | rel. time (ms) | search depth | errorDepth | new states | revisited states | end states | backtracks | processed states | restored states | total memory (kB) | max total memory | free memory (kB) | heap objects | max heap objects |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|

(4) | 100 (100) 100.00% | 0.84s | 148.30 (0.00) | 71.02 (62.84) | 841.21 | 841.21 | 71.02 | 62.84 | 110.53 | 37.77 | 0.94 | 84.46 | 45.76 | 0.00 | 14474.24 | 6990528.00 | 0.00 | 164.27 | 164.27 |

(9) | 100 (100) 100.00% | 0.80s | 152.12 (0.00) | 71.05 (61.97) | 802.61 | 802.61 | 71.05 | 61.97 | 111.65 | 40.47 | 0.86 | 89.15 | 47.82 | 0.00 | 13974.40 | 6990528.00 | 0.00 | 164.66 | 164.66 |