Introduction

This page presents how LoLA do cope efficiently with the UpperBounds 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 ITS-Tools

Some statistics are displayed below, based on 1938 runs (969 for LoLA and 969 for ITS-Tools, so there are 969 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 ITS-Tools.M

Some statistics are displayed below, based on 1938 runs (969 for LoLA and 969 for ITS-Tools.M, so there are 969 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.M 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.M, denote cases where LoLA computed less values than ITS-Tools.M, 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.M wins when points are above the diagonal.

LoLA versus LTSMin

Some statistics are displayed below, based on 1938 runs (969 for LoLA and 969 for LTSMin, so there are 969 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 Tapaal

Some statistics are displayed below, based on 1938 runs (969 for LoLA and 969 for Tapaal, so there are 969 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 enPAC

Some statistics are displayed below, based on 1938 runs (969 for LoLA and 969 for enPAC, so there are 969 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA to enPAC 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 enPAC, denote cases where LoLA computed less values than enPAC, 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, enPAC wins when points are above the diagonal.

LoLA versus GreatSPN

Some statistics are displayed below, based on 1938 runs (969 for LoLA and 969 for GreatSPN, so there are 969 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 smart

Some statistics are displayed below, based on 1938 runs (969 for LoLA and 969 for smart, so there are 969 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA to smart 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 smart, denote cases where LoLA computed less values than smart, 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, smart wins when points are above the diagonal.

LoLA versus 2018-Gold

Some statistics are displayed below, based on 1938 runs (969 for LoLA and 969 for 2018-Gold, so there are 969 plots on each of the two charts). Each execution was allowed 1 hour and 16 GByte of memory. Then performance charts comparing LoLA to 2018-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 2018-Gold, denote cases where LoLA computed less values than 2018-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, 2018-Gold wins when points are above the diagonal.