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Model Checking Contest 2018
8th edition, Bratislava, Slovakia, June 26, 2018
M4M.full compared to other tools («Surprise» models, LTLFireability)
Last Updated
June 26, 2018

Introduction

This page presents how M4M.full do cope efficiently with the LTLFireability examination face to the other participating tools. In this page, we consider «Surprise» models.

The next sections will show chart comparing performances in terms of both memory and execution time.The x-axis corresponds to the challenging tool where the y-axes represents M4M.full' performances. Thus, points below the diagonal of a chart denote comparisons favorables to the tool while others 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).

M4M.full versus LTSMin

Some statistics are displayed below, based on 278 runs (139 for M4M.full and 139 for LTSMin, so there are 139 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing M4M.full to LTSMin are shown (you may click on one graph to enlarge it).

Statistics on the executions
  M4M.full LTSMin Both tools   M4M.full LTSMin
All computed OK 0 139 0   Smallest Memory Footprint
M4M.full = LTSMin 0 Times tool wins 0 139
M4M.full > LTSMin 0   Shortest Execution Time
M4M.full < LTSMin 0 Times tool wins 0 139
Do not compete 0 0 0
Error detected 0 0 0  
Cannot Compute + Time-out 139 0 0


On the chart below, denote cases where the two tools did computed all results without error, denote cases where the two tool did computed the same number of values (but not al values in the examination), denote cases where M4M.full computed more values than LTSMin, denote cases where M4M.full computed less values than LTSMin, 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.

M4M.full wins when points are below the diagonal, LTSMin wins when points are above the diagonal.

memory chart time chart

M4M.full versus LoLA

Some statistics are displayed below, based on 278 runs (139 for M4M.full and 139 for LoLA, so there are 139 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing M4M.full to LoLA are shown (you may click on one graph to enlarge it).

Statistics on the executions
  M4M.full LoLA Both tools   M4M.full LoLA
All computed OK 0 137 0   Smallest Memory Footprint
M4M.full = LoLA 0 Times tool wins 0 137
M4M.full > LoLA 0   Shortest Execution Time
M4M.full < LoLA 0 Times tool wins 0 137
Do not compete 0 0 0
Error detected 0 2 0  
Cannot Compute + Time-out 139 0 0


On the chart below, denote cases where the two tools did computed all results without error, denote cases where the two tool did computed the same number of values (but not al values in the examination), denote cases where M4M.full computed more values than LoLA, denote cases where M4M.full computed less values than LoLA, 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.

M4M.full wins when points are below the diagonal, LoLA wins when points are above the diagonal.

memory chart time chart

M4M.full versus M4M.struct

Some statistics are displayed below, based on 278 runs (139 for M4M.full and 139 for M4M.struct, so there are 139 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing M4M.full to M4M.struct are shown (you may click on one graph to enlarge it).

Statistics on the executions
  M4M.full M4M.struct Both tools   M4M.full M4M.struct
All computed OK 0 0 0   Smallest Memory Footprint
M4M.full = M4M.struct 0 Times tool wins 0 0
M4M.full > M4M.struct 0   Shortest Execution Time
M4M.full < M4M.struct 0 Times tool wins 0 0
Do not compete 0 0 0
Error detected 0 0 0  
Cannot Compute + Time-out 0 0 139


On the chart below, denote cases where the two tools did computed all results without error, denote cases where the two tool did computed the same number of values (but not al values in the examination), denote cases where M4M.full computed more values than M4M.struct, denote cases where M4M.full computed less values than M4M.struct, 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.

M4M.full wins when points are below the diagonal, M4M.struct wins when points are above the diagonal.

memory chart time chart

M4M.full versus ITS-Tools

Some statistics are displayed below, based on 278 runs (139 for M4M.full and 139 for ITS-Tools, so there are 139 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing M4M.full to ITS-Tools are shown (you may click on one graph to enlarge it).

Statistics on the executions
  M4M.full ITS-Tools Both tools   M4M.full ITS-Tools
All computed OK 0 101 0   Smallest Memory Footprint
M4M.full = ITS-Tools 0 Times tool wins 0 101
M4M.full > ITS-Tools 0   Shortest Execution Time
M4M.full < ITS-Tools 0 Times tool wins 0 101
Do not compete 0 0 0
Error detected 0 0 0  
Cannot Compute + Time-out 101 0 38


On the chart below, denote cases where the two tools did computed all results without error, denote cases where the two tool did computed the same number of values (but not al values in the examination), denote cases where M4M.full computed more values than ITS-Tools, denote cases where M4M.full computed less values than ITS-Tools, 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.

M4M.full wins when points are below the diagonal, ITS-Tools wins when points are above the diagonal.

memory chart time chart

M4M.full versus ITS-Tools.L

Some statistics are displayed below, based on 278 runs (139 for M4M.full and 139 for ITS-Tools.L, so there are 139 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing M4M.full to ITS-Tools.L are shown (you may click on one graph to enlarge it).

Statistics on the executions
  M4M.full ITS-Tools.L Both tools   M4M.full ITS-Tools.L
All computed OK 0 103 0   Smallest Memory Footprint
M4M.full = ITS-Tools.L 0 Times tool wins 0 103
M4M.full > ITS-Tools.L 0   Shortest Execution Time
M4M.full < ITS-Tools.L 0 Times tool wins 0 103
Do not compete 0 0 0
Error detected 0 0 0  
Cannot Compute + Time-out 103 0 36


On the chart below, denote cases where the two tools did computed all results without error, denote cases where the two tool did computed the same number of values (but not al values in the examination), denote cases where M4M.full computed more values than ITS-Tools.L, denote cases where M4M.full computed less values than ITS-Tools.L, 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.

M4M.full wins when points are below the diagonal, ITS-Tools.L wins when points are above the diagonal.

memory chart time chart

M4M.full versus Irma.full

Some statistics are displayed below, based on 278 runs (139 for M4M.full and 139 for Irma.full, so there are 139 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing M4M.full to Irma.full are shown (you may click on one graph to enlarge it).

Statistics on the executions
  M4M.full Irma.full Both tools   M4M.full Irma.full
All computed OK 0 0 0   Smallest Memory Footprint
M4M.full = Irma.full 0 Times tool wins 0 0
M4M.full > Irma.full 0   Shortest Execution Time
M4M.full < Irma.full 0 Times tool wins 0 0
Do not compete 0 0 0
Error detected 0 0 0  
Cannot Compute + Time-out 0 0 139


On the chart below, denote cases where the two tools did computed all results without error, denote cases where the two tool did computed the same number of values (but not al values in the examination), denote cases where M4M.full computed more values than Irma.full, denote cases where M4M.full computed less values than Irma.full, 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.

M4M.full wins when points are below the diagonal, Irma.full wins when points are above the diagonal.

memory chart time chart

M4M.full versus Irma.struct

Some statistics are displayed below, based on 278 runs (139 for M4M.full and 139 for Irma.struct, so there are 139 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing M4M.full to Irma.struct are shown (you may click on one graph to enlarge it).

Statistics on the executions
  M4M.full Irma.struct Both tools   M4M.full Irma.struct
All computed OK 0 0 0   Smallest Memory Footprint
M4M.full = Irma.struct 0 Times tool wins 0 0
M4M.full > Irma.struct 0   Shortest Execution Time
M4M.full < Irma.struct 0 Times tool wins 0 0
Do not compete 0 0 0
Error detected 0 0 0  
Cannot Compute + Time-out 0 0 139


On the chart below, denote cases where the two tools did computed all results without error, denote cases where the two tool did computed the same number of values (but not al values in the examination), denote cases where M4M.full computed more values than Irma.struct, denote cases where M4M.full computed less values than Irma.struct, 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.

M4M.full wins when points are below the diagonal, Irma.struct wins when points are above the diagonal.

memory chart time chart