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Model Checking Contest @ Petri Nets 2015
Bruxelles, Belgium, June 23, 2015
Cunf compared to other tools («Known» models, ReachabilityFireability)
Last Updated
August 19, 2015

Introduction

This page presents how Cunf do cope efficiently with the ReachabilityFireability 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 Cunf' 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).

Cunf versus GreatSPN-Meddly

Some statistics are displayed below, based on 808 runs (404 for Cunf and 404 for GreatSPN-Meddly, so there are 404 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing Cunf to GreatSPN-Meddly are shown (you may click on one graph to enlarge it).

Statistics on the execution
  Cunf GreatSPN-Meddly Both tools   Cunf GreatSPN-Meddly
Computed OK 67 32 6   Smallest Memory Footprint
Do not compete 163 0 114 Times tool wins 73 32
Error detected 0 95 2   Shortest Execution Time
Cannot Compute + Time-out 6 109 46 Times tool wins 73 32


On the chart below, denote cases where the two tools did computed a result, denote the cases where at least one tool did not competed, denote the cases where at least one tool did a mistake and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

Cunf versus ITS-Tools

Some statistics are displayed below, based on 808 runs (404 for Cunf and 404 for ITS-Tools, so there are 404 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing Cunf to ITS-Tools are shown (you may click on one graph to enlarge it).

Statistics on the execution
  Cunf ITS-Tools Both tools   Cunf ITS-Tools
Computed OK 49 178 24   Smallest Memory Footprint
Do not compete 277 0 0 Times tool wins 69 182
Error detected 2 113 0   Shortest Execution Time
Cannot Compute + Time-out 34 71 18 Times tool wins 68 183


On the chart below, denote cases where the two tools did computed a result, denote the cases where at least one tool did not competed, denote the cases where at least one tool did a mistake and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

Cunf versus LoLA2.0

Some statistics are displayed below, based on 808 runs (404 for Cunf and 404 for LoLA2.0, so there are 404 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing Cunf to LoLA2.0 are shown (you may click on one graph to enlarge it).

Statistics on the execution
  Cunf LoLA2.0 Both tools   Cunf LoLA2.0
Computed OK 1 190 72   Smallest Memory Footprint
Do not compete 140 0 137 Times tool wins 59 204
Error detected 2 5 0   Shortest Execution Time
Cannot Compute + Time-out 52 0 0 Times tool wins 70 193


On the chart below, denote cases where the two tools did computed a result, denote the cases where at least one tool did not competed, denote the cases where at least one tool did a mistake and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

Cunf versus LTSMin

Some statistics are displayed below, based on 808 runs (404 for Cunf and 404 for LTSMin, so there are 404 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing Cunf to LTSMin are shown (you may click on one graph to enlarge it).

Statistics on the execution
  Cunf LTSMin Both tools   Cunf LTSMin
Computed OK 0 186 73   Smallest Memory Footprint
Do not compete 277 0 0 Times tool wins 70 189
Error detected 2 6 0   Shortest Execution Time
Cannot Compute + Time-out 50 137 2 Times tool wins 71 188


On the chart below, denote cases where the two tools did computed a result, denote the cases where at least one tool did not competed, denote the cases where at least one tool did a mistake and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

Cunf versus Marcie

Some statistics are displayed below, based on 808 runs (404 for Cunf and 404 for Marcie, so there are 404 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing Cunf to Marcie are shown (you may click on one graph to enlarge it).

Statistics on the execution
  Cunf Marcie Both tools   Cunf Marcie
Computed OK 13 107 60   Smallest Memory Footprint
Do not compete 277 0 0 Times tool wins 73 107
Error detected 2 0 0   Shortest Execution Time
Cannot Compute + Time-out 13 198 39 Times tool wins 72 108


On the chart below, denote cases where the two tools did computed a result, denote the cases where at least one tool did not competed, denote the cases where at least one tool did a mistake and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

Cunf versus TAPAAL(MC)

Some statistics are displayed below, based on 808 runs (404 for Cunf and 404 for TAPAAL(MC), so there are 404 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing Cunf to TAPAAL(MC) are shown (you may click on one graph to enlarge it).

Statistics on the execution
  Cunf TAPAAL(MC) Both tools   Cunf TAPAAL(MC)
Computed OK 5 166 68   Smallest Memory Footprint
Do not compete 140 0 137 Times tool wins 70 169
Error detected 2 6 0   Shortest Execution Time
Cannot Compute + Time-out 41 16 11 Times tool wins 70 169


On the chart below, denote cases where the two tools did computed a result, denote the cases where at least one tool did not competed, denote the cases where at least one tool did a mistake and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

Cunf versus TAPAAL(SEQ)

Some statistics are displayed below, based on 808 runs (404 for Cunf and 404 for TAPAAL(SEQ), so there are 404 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing Cunf to TAPAAL(SEQ) are shown (you may click on one graph to enlarge it).

Statistics on the execution
  Cunf TAPAAL(SEQ) Both tools   Cunf TAPAAL(SEQ)
Computed OK 0 187 73   Smallest Memory Footprint
Do not compete 140 0 137 Times tool wins 57 203
Error detected 2 1 0   Shortest Execution Time
Cannot Compute + Time-out 48 2 4 Times tool wins 71 189


On the chart below, denote cases where the two tools did computed a result, denote the cases where at least one tool did not competed, denote the cases where at least one tool did a mistake and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

Cunf versus TAPAAL-OTF(PAR)

Some statistics are displayed below, based on 808 runs (404 for Cunf and 404 for TAPAAL-OTF(PAR), so there are 404 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing Cunf to TAPAAL-OTF(PAR) are shown (you may click on one graph to enlarge it).

Statistics on the execution
  Cunf TAPAAL-OTF(PAR) Both tools   Cunf TAPAAL-OTF(PAR)
Computed OK 35 29 38   Smallest Memory Footprint
Do not compete 140 0 137 Times tool wins 65 37
Error detected 2 19 0   Shortest Execution Time
Cannot Compute + Time-out 0 129 52 Times tool wins 73 29


On the chart below, denote cases where the two tools did computed a result, denote the cases where at least one tool did not competed, denote the cases where at least one tool did a mistake and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart

Cunf versus TAPAAL-OTF(SEQ)

Some statistics are displayed below, based on 808 runs (404 for Cunf and 404 for TAPAAL-OTF(SEQ), so there are 404 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing Cunf to TAPAAL-OTF(SEQ) are shown (you may click on one graph to enlarge it).

Statistics on the execution
  Cunf TAPAAL-OTF(SEQ) Both tools   Cunf TAPAAL-OTF(SEQ)
Computed OK 18 76 55   Smallest Memory Footprint
Do not compete 140 0 137 Times tool wins 72 77
Error detected 2 1 0   Shortest Execution Time
Cannot Compute + Time-out 7 90 45 Times tool wins 71 78


On the chart below, denote cases where the two tools did computed a result, denote the cases where at least one tool did not competed, denote the cases where at least one tool did a mistake and denote the cases where at least one tool stated it could not compute a result or timed-out.

memory chart time chart