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Model Checking Contest @ Petri Nets 2017
7th edition, Zaragoza, Spain, June 27, 2017
ITS-Tools compared to other tools («Known» models, StateSpace)
Last Updated
June 27, 2017

Introduction

This page presents how TINA.sift do cope efficiently with the StateSpace examination face to the other participating tools. In this page, we consider «Known» models.

The next sections will show chart comparing performances in termsof both memory and execution time.The x-axis corresponds to the challenging tool where the y-axes represents TINA.sift' performances. Thus, points below the diagonal of a chart denote comparisons favorables to the tool whileothers corresponds to situations where the challenging tool performs better.

You might also find plots out of the range that denote the case were at least one tool could not answer appropriately (error, time-out, could not compute or did not competed).

TINA.sift versus LTSMin

Some statistics are displayed below, based on 866 runs (433 for TINA.sift and 433 for LTSMin, so there are 433 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing TINA.sift to LTSMin are shown (you may click on one graph to enlarge it).

Statistics on the execution
  TINA.sift LTSMin Both tools   TINA.sift LTSMin
Computed OK 30 56 59   Smallest Memory Footprint
Do not compete 0 111 9 Times tool wins 77 68
Error detected 2 0 0   Shortest Execution Time
Cannot Compute + Time-out 142 7 191 Times tool wins 72 73


On the chart below, denote cases where the two tools did computed a result without error, denote the cases where at least one tool did not competed, denote the cases where at least one tool computed a bad value and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

TINA.sift versus LoLA

Some statistics are displayed below, based on 866 runs (433 for TINA.sift and 433 for LoLA, so there are 433 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing TINA.sift to LoLA are shown (you may click on one graph to enlarge it).

Statistics on the execution
  TINA.sift LoLA Both tools   TINA.sift LoLA
Computed OK 89 0 0   Smallest Memory Footprint
Do not compete 4 419 5 Times tool wins 89 0
Error detected 2 0 0   Shortest Execution Time
Cannot Compute + Time-out 329 5 4 Times tool wins 89 0


On the chart below, denote cases where the two tools did computed a result without error, denote the cases where at least one tool did not competed, denote the cases where at least one tool computed a bad value and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

TINA.sift versus Tapaal

Some statistics are displayed below, based on 866 runs (433 for TINA.sift and 433 for Tapaal, so there are 433 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing TINA.sift to Tapaal are shown (you may click on one graph to enlarge it).

Statistics on the execution
  TINA.sift Tapaal Both tools   TINA.sift Tapaal
Computed OK 27 9 62   Smallest Memory Footprint
Do not compete 0 111 9 Times tool wins 66 32
Error detected 2 0 0   Shortest Execution Time
Cannot Compute + Time-out 95 4 238 Times tool wins 28 70


On the chart below, denote cases where the two tools did computed a result without error, denote the cases where at least one tool did not competed, denote the cases where at least one tool computed a bad value and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

TINA.sift versus ITS-Tools

Some statistics are displayed below, based on 866 runs (433 for TINA.sift and 433 for ITS-Tools, so there are 433 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing TINA.sift to ITS-Tools are shown (you may click on one graph to enlarge it).

Statistics on the execution
  TINA.sift ITS-Tools Both tools   TINA.sift ITS-Tools
Computed OK 11 95 78   Smallest Memory Footprint
Do not compete 9 0 0 Times tool wins 68 116
Error detected 2 2 0   Shortest Execution Time
Cannot Compute + Time-out 90 15 243 Times tool wins 67 117


On the chart below, denote cases where the two tools did computed a result without error, denote the cases where at least one tool did not competed, denote the cases where at least one tool computed a bad value and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

TINA.sift versus MARCIE

Some statistics are displayed below, based on 866 runs (433 for TINA.sift and 433 for MARCIE, so there are 433 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing TINA.sift to MARCIE are shown (you may click on one graph to enlarge it).

Statistics on the execution
  TINA.sift MARCIE Both tools   TINA.sift MARCIE
Computed OK 8 92 81   Smallest Memory Footprint
Do not compete 9 0 0 Times tool wins 70 111
Error detected 2 2 0   Shortest Execution Time
Cannot Compute + Time-out 92 17 241 Times tool wins 70 111


On the chart below, denote cases where the two tools did computed a result without error, denote the cases where at least one tool did not competed, denote the cases where at least one tool computed a bad value and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

TINA.sift versus GreatSPN

Some statistics are displayed below, based on 866 runs (433 for TINA.sift and 433 for GreatSPN, so there are 433 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing TINA.sift to GreatSPN are shown (you may click on one graph to enlarge it).

Statistics on the execution
  TINA.sift GreatSPN Both tools   TINA.sift GreatSPN
Computed OK 8 126 81   Smallest Memory Footprint
Do not compete 9 0 0 Times tool wins 51 164
Error detected 2 0 0   Shortest Execution Time
Cannot Compute + Time-out 124 17 209 Times tool wins 21 194


On the chart below, denote cases where the two tools did computed a result without error, denote the cases where at least one tool did not competed, denote the cases where at least one tool computed a bad value and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

TINA.sift versus smart

Some statistics are displayed below, based on 866 runs (433 for TINA.sift and 433 for smart, so there are 433 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing TINA.sift to smart are shown (you may click on one graph to enlarge it).

Statistics on the execution
  TINA.sift smart Both tools   TINA.sift smart
Computed OK 39 49 50   Smallest Memory Footprint
Do not compete 0 111 9 Times tool wins 65 73
Error detected 2 23 0   Shortest Execution Time
Cannot Compute + Time-out 148 6 185 Times tool wins 50 88


On the chart below, denote cases where the two tools did computed a result without error, denote the cases where at least one tool did not competed, denote the cases where at least one tool computed a bad value and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

TINA.sift versus TINA.tedd

Some statistics are displayed below, based on 866 runs (433 for TINA.sift and 433 for TINA.tedd, so there are 433 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing TINA.sift to TINA.tedd are shown (you may click on one graph to enlarge it).

Statistics on the execution
  TINA.sift TINA.tedd Both tools   TINA.sift TINA.tedd
Computed OK 6 111 83   Smallest Memory Footprint
Do not compete 0 0 9 Times tool wins 75 125
Error detected 2 0 0   Shortest Execution Time
Cannot Compute + Time-out 109 6 224 Times tool wins 71 129


On the chart below, denote cases where the two tools did computed a result without error, denote the cases where at least one tool did not competed, denote the cases where at least one tool computed a bad value and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart