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dfatool
decisiontrees
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kconfig-modeling
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merge-prep/janis
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state-duration-timers
Performance Model Generation for Configurable System Components
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analyze-trace.py
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3 hours
analyze-trace: Use annotation.end.param, not .start.param
Birte Kristina Friesel
-11
/
+16
4 hours
analyze-trace: detect loops and iteration counts (those are deterministic)
Birte Kristina Friesel
-11
/
+46
4 hours
analyze-trace: keep track of total latency per run
Birte Kristina Friesel
-0
/
+45
31 hours
analyze-trace: warn when encountering unexpected transition destination model
Birte Kristina Friesel
-1
/
+7
31 hours
Featured Automata learner: now with actual guards. whoop whoop!
Birte Kristina Friesel
-2
/
+45
2 days
anlyze-trace: detect non-deterministic transitions (aka: unhandled loops)
Birte Kristina Friesel
-1
/
+18
2 days
analyze-trace: store input parameters that belong to transitions
Birte Kristina Friesel
-5
/
+31
2 days
learn_pta: merge observations of identical run names
Birte Kristina Friesel
-4
/
+15
2 days
learn_pta: Add transition to final / accepting state
Birte Kristina Friesel
-2
/
+4
3 days
nalyze-trace: support runs without kernel annotations
Birte Kristina Friesel
-0
/
+1
3 days
add analyze-trace (wip): predict trace part parameters from benchmark config
Birte Kristina Friesel
-0
/
+436