Introduction

This page presents how LoLA do cope efficiently with the CTLFireability 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 LoLA' 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).

LoLA versus GreatSPN

Some statistics are displayed below, based on 3234 runs (1617 for LoLA and 1617 for GreatSPN, so there are 1617 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA to GreatSPN 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 LoLA computed more values than GreatSPN, denote cases where LoLA computed less values than GreatSPN, 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.

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

LoLA versus ITS-Tools

Some statistics are displayed below, based on 3234 runs (1617 for LoLA and 1617 for ITS-Tools, so there are 1617 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA 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 LoLA computed more values than ITS-Tools, denote cases where LoLA 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.

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

LoLA versus Tapaal

Some statistics are displayed below, based on 3234 runs (1617 for LoLA and 1617 for Tapaal, so there are 1617 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA 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 LoLA computed more values than Tapaal, denote cases where LoLA 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.

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

LoLA versus LoLa+red

Some statistics are displayed below, based on 3234 runs (1617 for LoLA and 1617 for LoLa+red, so there are 1617 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA to LoLa+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 LoLA computed more values than LoLa+red, denote cases where LoLA computed less values than LoLa+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.

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

LoLA versus LTSMin+red

Some statistics are displayed below, based on 3234 runs (1617 for LoLA and 1617 for LTSMin+red, so there are 1617 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA 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 LoLA computed more values than LTSMin+red, denote cases where LoLA 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.

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

LoLA versus Marcie+red

Some statistics are displayed below, based on 3234 runs (1617 for LoLA and 1617 for Marcie+red, so there are 1617 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA to Marcie+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 LoLA computed more values than Marcie+red, denote cases where LoLA computed less values than Marcie+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.

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

LoLA versus 2022-gold

Some statistics are displayed below, based on 3234 runs (1617 for LoLA and 1617 for 2022-gold, so there are 1617 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA to 2022-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 LoLA computed more values than 2022-gold, denote cases where LoLA computed less values than 2022-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.

LoLA wins when points are below the diagonal, 2022-gold wins when points are above the diagonal.

LoLA versus BVT-2023

Some statistics are displayed below, based on 3234 runs (1617 for LoLA and 1617 for BVT-2023, so there are 1617 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA to BVT-2023 are shown (you may click on one graph to enlarge it).

Important: here, LoLA is compared to BVT-2023. It is a good way to check how LoLA compete in terms of resource consomption with the best tools (even virtual). When LoLA 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 LoLA computed more values than BVT-2023, denote cases where LoLA computed less values than BVT-2023, 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.

LoLA wins when points are below the diagonal, BVT-2023 wins when points are above the diagonal.

LoLA versus LTSMin

Some statistics are displayed below, based on 3234 runs (1617 for LoLA and 1617 for LTSMin, so there are 1617 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA 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 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 LoLA computed more values than LTSMin, denote cases where LoLA 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.

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

LoLA versus Marcie

Some statistics are displayed below, based on 3234 runs (1617 for LoLA and 1617 for Marcie, so there are 1617 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA to Marcie 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 LoLA computed more values than Marcie, denote cases where LoLA computed less values than Marcie, 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.

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