Introduction

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

GreatSPN versus GreatSPN+red

Some statistics are displayed below, based on 3356 runs (1678 for GreatSPN and 1678 for GreatSPN+red, so there are 1678 plots on each of the two charts). Each execution was allowed 30 minutes and 16 GByte of memory. Then performance charts comparing GreatSPN to GreatSPN+red are shown (you may click on one graph to enlarge it).

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 GreatSPN computed more values than GreatSPN+red, denote cases where GreatSPN computed less values than GreatSPN+red, 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.

GreatSPN wins when points are below the diagonal, GreatSPN+red wins when points are above the diagonal.

GreatSPN versus LTSMin+red

Some statistics are displayed below, based on 3356 runs (1678 for GreatSPN and 1678 for LTSMin+red, so there are 1678 plots on each of the two charts). Each execution was allowed 30 minutes and 16 GByte of memory. Then performance charts comparing GreatSPN to LTSMin+red are shown (you may click on one graph to enlarge it).

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 GreatSPN computed more values than LTSMin+red, denote cases where GreatSPN computed less values than LTSMin+red, 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.

GreatSPN wins when points are below the diagonal, LTSMin+red wins when points are above the diagonal.

GreatSPN versus ITS-Tools

Some statistics are displayed below, based on 3356 runs (1678 for GreatSPN and 1678 for ITS-Tools, so there are 1678 plots on each of the two charts). Each execution was allowed 30 minutes and 16 GByte of memory. Then performance charts comparing GreatSPN 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 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 GreatSPN computed more values than ITS-Tools, denote cases where GreatSPN 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.

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

GreatSPN versus LoLA

Some statistics are displayed below, based on 3356 runs (1678 for GreatSPN and 1678 for LoLA, so there are 1678 plots on each of the two charts). Each execution was allowed 30 minutes and 16 GByte of memory. Then performance charts comparing GreatSPN 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 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 GreatSPN computed more values than LoLA, denote cases where GreatSPN 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.

GreatSPN wins when points are below the diagonal, LoLA wins when points are above the diagonal.

GreatSPN versus Tapaal

Some statistics are displayed below, based on 3356 runs (1678 for GreatSPN and 1678 for Tapaal, so there are 1678 plots on each of the two charts). Each execution was allowed 30 minutes and 16 GByte of memory. Then performance charts comparing GreatSPN to Tapaal are shown (you may click on one graph to enlarge it).

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 GreatSPN computed more values than Tapaal, denote cases where GreatSPN computed less values than Tapaal, 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.

GreatSPN wins when points are below the diagonal, Tapaal wins when points are above the diagonal.

GreatSPN versus 2023-gold

Some statistics are displayed below, based on 3356 runs (1678 for GreatSPN and 1678 for 2023-gold, so there are 1678 plots on each of the two charts). Each execution was allowed 30 minutes and 16 GByte of memory. Then performance charts comparing GreatSPN to 2023-gold are shown (you may click on one graph to enlarge it).

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 GreatSPN computed more values than 2023-gold, denote cases where GreatSPN computed less values than 2023-gold, 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.

GreatSPN wins when points are below the diagonal, 2023-gold wins when points are above the diagonal.

GreatSPN versus BVT-2024

Some statistics are displayed below, based on 3356 runs (1678 for GreatSPN and 1678 for BVT-2024, so there are 1678 plots on each of the two charts). Each execution was allowed 30 minutes and 16 GByte of memory. Then performance charts comparing GreatSPN to BVT-2024 are shown (you may click on one graph to enlarge it).

Important: here, GreatSPN is compared to BVT-2024. It is a good way to check how GreatSPN compete in terms of resource consomption with the best tools (even virtual). When GreatSPN is best, the corresponding plots are on the diagonal of the scatter plots chart.

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 GreatSPN computed more values than BVT-2024, denote cases where GreatSPN computed less values than BVT-2024, 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.

GreatSPN wins when points are below the diagonal, BVT-2024 wins when points are above the diagonal.