Introduction

This page presents how Marcie do cope efficiently with the CTLCardinality examination face to the other participating tools. In this page, we consider «Surprise» 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 Marcie' 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).

Marcie versus ITS-Tools

Some statistics are displayed below, based on 278 runs (139 for Marcie 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 Marcie to ITS-Tools are shown (you may click on one graph to enlarge it).

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.

Marcie versus LoLa

Some statistics are displayed below, based on 278 runs (139 for Marcie 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 Marcie to LoLa are shown (you may click on one graph to enlarge it).

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.

Marcie versus LTSMin

Some statistics are displayed below, based on 278 runs (139 for Marcie 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 Marcie to LTSMin are shown (you may click on one graph to enlarge it).

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.

Marcie versus Tapaal(PAR)

Some statistics are displayed below, based on 278 runs (139 for Marcie and 139 for Tapaal(PAR), 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 Marcie to Tapaal(PAR) are shown (you may click on one graph to enlarge it).

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.

Marcie versus Tapaal(SEQ)

Some statistics are displayed below, based on 278 runs (139 for Marcie and 139 for Tapaal(SEQ), 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 Marcie to Tapaal(SEQ) are shown (you may click on one graph to enlarge it).

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.