docRICHARD MÜLLER WIL VAN DER AALST CHRISTIAN STAHL
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RICHARD MÜLLER WIL VAN DER AALST CHRISTIAN STAHL
PRIVATE VIEW CONFORMANCE CHECKING RICHARD MÜLLER WIL VAN DER AALST CHRISTIAN STAHL CONTRACT ALICE 1 BOB CONTRACT PARTIES MODEL A SERVICE-ORIENTED SYSTEM PUBLIC VIEW ALICE 1 BOB PUBLIC VIEW ALICE 1 BOB PUBLIC VIEW ALICE 1 BOB ASSUMPTION COMPOSITION OF PUBLIC VIEWS IS CORRECT IMPLEMENTATION 2 PUBA PUBB IMPLA IMPLB IMPLEMENTATION 2 PUBA PUBB IMPLA IMPLB GOAL COMPOSITION OF IMPLEMENTATIONS IS CORRECT ACCORDANCE RELATION 3 PUBA PUBB IMPLA IMPLB ACCORDANCE RELATION 3 PUBA PUBB IMPLA IMPLB ACCORDANCE RELATION 3 PUBA PUBB IMPLA IMPLB THEOREM IF IMPLX ACCORDS WITH PUBX FOR ALL PARTIES X, THEN COMPOSITION OF ALL IMPLX IS CORRECT PRIVATE VIEW 3 PUBA PUBB IMPLA IMPLB THEOREM IF IMPLX ACCORDS WITH PUBX FOR ALL PARTIES X, THEN COMPOSITION OF ALL IMPLX IS CORRECT PRIVATE VIEW PUBA PRIVA NOTATION A PRIVATE VIEW IS AN ACCORDANT IMPLEMENTATION 3 PUBB PRIVB VIEWPOINT OF ALICE 4 PUBB PRIVB VIEWPOINT OF ALICE 4 PUBB ? IMPLB VIEWPOINT OF ALICE 4 PUBB ? IMPLB VIEWPOINT OF ALICE 4 PUBB ? LOGB IMPLB EVENT LOG RECORDED BEHAVIOR OF IMPLEMENTATION PROBLEM STATEMENT 4 PUBB ? LOGB IMPLB “IS THERE ANY PRIVATE VIEW OF BOB WHICH COULD HAVE PRODUCED THIS LOG?” OUTLINE 4 PUBB 1. MODEL VS. EVENT LOG ? LOGB IMPLB “IS THERE ANY PRIVATE VIEW OF BOB WHICH COULD HAVE PRODUCED THIS LOG?” OUTLINE 4 PUBB 1. MODEL VS. EVENT LOG 2. SKETCH SOLUTION ? LOGB IMPLB “IS THERE ANY PRIVATE VIEW OF BOB WHICH COULD HAVE PRODUCED THIS LOG?” OUTLINE 4 PUBB 1. MODEL VS. EVENT LOG 2. SKETCH SOLUTION ? 3. PRESENT EXPERIMENTAL RESULTS LOGB IMPLB “IS THERE ANY PRIVATE VIEW OF BOB WHICH COULD HAVE PRODUCED THIS LOG?” MODEL VS. EVENT LOG 5 PUBB ? LOGB IMPLB “IS THERE ANY PRIVATE VIEW OF BOB WHICH COULD HAVE PRODUCED THIS LOG?” MODEL VS. EVENT LOG 5 PUBB ? LOGB IMPLB CONFORMANCE CHECKING COMPARING MODEL AND EVENT LOG REPLAY 6 p0 t1 a p2 b t0 p1 t3 t4 c t2 ad bc d p3 MODEL EVENT LOG REPLAY 6 p0 t1 a p2 b t0 p1 t3 t4 c t2 ad bc d p3 MODEL EVENT LOG REPLAY 6 p0 t1 a p2 b t0 p1 t3 t4 c t2 ad bc d p3 MODEL EVENT LOG REPLAY 6 p0 t1 a p2 b t0 p1 t3 t4 c t2 ad bc d p3 MODEL EVENT LOG REPLAY 6 p0 t1 a p2 b t0 p1 t3 t4 c t2 ad bc d p3 MODEL EVENT LOG REPLAY 6 p0 t1 a p2 b t0 p1 ? t3 t4 c t2 ad bc d p3 MODEL EVENT LOG REPLAY 6 p0 t1 a p2 b t0 p1 ? t3 t4 c t2 ad bc d p3 MODEL EVENT LOG MORE PRECISE PROBLEM STATEMENT 7 PUBB ? LOGB IMPLB “IS THERE ANY PRIVATE VIEW OF BOB WHICH CONFORMS TO THIS LOG?” SET VIEW ON PROBLEM STATEMENT PUBB “IS THERE ANY PRIVATE VIEW OF BOB WHICH CONFORMS TO THIS LOG?” 8 LOGB SET VIEW ON PROBLEM STATEMENT 8 PRIVATE VIEWS PUBB “IS THERE ANY PRIVATE VIEW OF BOB WHICH CONFORMS TO THIS LOG?” LOGB SET VIEW ON PROBLEM STATEMENT PRIVATE VIEWS 8 CONFORMING MODELS PUBB “IS THERE ANY PRIVATE VIEW OF BOB WHICH CONFORMS TO THIS LOG?” LOGB SET VIEW ON PROBLEM STATEMENT PRIVATE VIEWS 8 CONFORMING MODELS PUBB “IS THERE ANY PRIVATE VIEW OF BOB WHICH CONFORMS TO THIS LOG?” LOGB SET VIEW ON PROBLEM STATEMENT INFINITELY MANY PRIVATE VIEWS 8 INFINITELY MANY CONFORMING MODELS PUBB “IS THERE ANY PRIVATE VIEW OF BOB WHICH CONFORMS TO THIS LOG?” LOGB BEST MATCHING PRIVATE VIEW PRIVATE VIEWS PUBB FINITE CHARACTERIZATION 9 CONFORMING MODELS LOGB BEST MATCHING PRIVATE VIEW PRIVATE VIEWS 9 CONFORMING MODELS MB PUBB FINITE CHARACTERIZATION LOGB 1. CASE: MB CONFORMS TO LOGB PRIVATE VIEWS 10 CONFORMING MODELS MB PUBB LOGB 2. CASE: MB DOES NOT CONFORM TO LOGB PRIVATE VIEWS 11 CONFORMING MODELS MB PUBB LOGB 2. CASE: MB DOES NOT CONFORM TO LOGB PRIVATE VIEWS 11 CONFORMING MODELS MB PUBB LOGB THEOREM MB CONFORMS TO LOGB IFF THERE EXISTS A PRIVATE VIEW OF PUBB WHICH CONFORMS TO LOGB NECESSARY CONDITION 12 PUBB ? LOGB IMPLB COROLLARY IF MB DOES NOT CONFORM TO LOGB THEN IMPLB DOES NOT ACCORD WITH PUBB EVALUATION MB COMPUTE MB USING WENDY, MAXIS, PNAPI PUBB 13 EVALUATION MB COMPUTE MB USING WENDY, MAXIS, PNAPI PUBB WWW.SERVICE-TECHNOLOGY.ORG 13 EVALUATION MB COMPUTE MB USING WENDY, MAXIS, PNAPI 13 MEASURE CONFORMANCE USING PROM LOGB PUBB WWW.PROMTOOLS.ORG WWW.SERVICE-TECHNOLOGY.ORG EVALUATION 13 MB COMPUTE MB USING WENDY, MAXIS, PNAPI PUBB MEASURE CONFORMANCE USING PROM + LOGB + MEASURE CONFORMANCE USING PROM WWW.PROMTOOLS.ORG WWW.SERVICE-TECHNOLOGY.ORG EXPERIMENTAL RESULTS PUBLIC VIEW OF PARTY B |P| |T| 14 6 6 3.47ms 16 8 8 30 18 38 88 14 BEST MATCHING PRIVATE VIEW MB |Interface| ∅ TIME ∅ COST COMPUTE ∅ TIME ∅ COST MB |P| |T| 6.21 35 132 < 1s 0.34ms 0.20 3.31ms 7.53 41 190 < 1s 0.88ms 0.20 9 6.21ms 8.26 106 681 3s 1.41ms 0.19 32 10 7.10ms 4.89 32 < 1s 0.17ms 0.05 74 11 33.93ms 7.24 806 6060 102s 45.60ms 0.03 168 ARTIFICIAL ACYCLIC PUBB, WEAK TERMINATION EXPERIMENTAL RESULTS PUBLIC VIEW OF PARTY B |P| |T| 14 6 6 3.47ms 16 8 8 30 18 38 88 14 BEST MATCHING PRIVATE VIEW MB |Interface| ∅ TIME ∅ COST COMPUTE ∅ TIME ∅ COST MB |P| |T| 6.21 35 132 < 1s 0.34ms 0.20 3.31ms 7.53 41 190 < 1s 0.88ms 0.20 9 6.21ms 8.26 106 681 3s 1.41ms 0.19 32 10 7.10ms 4.89 32 < 1s 0.17ms 0.05 74 11 33.93ms 7.24 806 6060 102s 45.60ms 0.03 168 EXPONENTIAL IN INTERFACE SIZE EXPERIMENTAL RESULTS PUBLIC VIEW OF PARTY B |P| |T| 14 6 6 3.47ms 16 8 8 30 18 38 88 14 BEST MATCHING PRIVATE VIEW MB |Interface| ∅ TIME ∅ COST COMPUTE ∅ TIME ∅ COST MB |P| |T| 6.21 35 132 < 1s 0.34ms 0.20 3.31ms 7.53 41 190 < 1s 0.88ms 0.20 9 6.21ms 8.26 106 681 3s 1.41ms 0.19 32 10 7.10ms 4.89 32 < 1s 0.17ms 0.05 74 11 33.93ms 7.24 806 6060 102s 45.60ms 0.03 168 ARTIFICIAL LOGB, 100 TRACES, ~600 EVENTS TAKE HOME POINTS 15 DECIDE IF THERE EXISTS A PRIVATE VIEW OF PUBB WHICH CONFORMS TO EVENT LOG LOGB 1 WITH BEST MATCHING PRIVATE VIEW MB 2 IMPLEMENTATION FOR ACYCLIC PUBLIC VIEW AND WEAK TERMINATION FUTURE WORK + IMPLEMENTATION FOR CYCLIC PUBLIC VIEWS + EVALUATION WITH INDUSTRIAL MODELS + OTHER CORRECTNESS CRITERIA + OTHER CONFORMANCE DIMENSIONS TAKE HOME POINTS 15 DECIDE IF THERE EXISTS A PRIVATE VIEW OF PUBB WHICH CONFORMS TO EVENT LOG LOGB 1 WITH BEST MATCHING PRIVATE VIEW MB 2 IMPLEMENTATION FOR ACYCLIC PUBLIC VIEW AND WEAK TERMINATION FUTURE WORK + IMPLEMENTATION FOR CYCLIC PUBLIC VIEWS + EVALUATION WITH INDUSTRIAL MODELS + OTHER CORRECTNESS CRITERIA + OTHER CONFORMANCE DIMENSIONS TAKE HOME POINTS 15 DECIDE IF THERE EXISTS A PRIVATE VIEW OF PUBB WHICH CONFORMS TO EVENT LOG LOGB 1 WITH BEST MATCHING PRIVATE VIEW MB 2 IMPLEMENTATION FOR ACYCLIC PUBLIC VIEW AND WEAK TERMINATION FUTURE WORK + IMPLEMENTATION FOR CYCLIC PUBLIC VIEWS + EVALUATION WITH INDUSTRIAL MODELS + OTHER CORRECTNESS CRITERIA + OTHER CONFORMANCE DIMENSIONS TAKE HOME POINTS 15 DECIDE IF THERE EXISTS A PRIVATE VIEW OF PUBB WHICH CONFORMS TO EVENT LOG LOGB 1 WITH BEST MATCHING PRIVATE VIEW MB 2 IMPLEMENTATION FOR ACYCLIC PUBLIC VIEW AND WEAK TERMINATION FUTURE WORK + IMPLEMENTATION FOR CYCLIC PUBLIC VIEWS + EVALUATION WITH INDUSTRIAL MODELS + OTHER CORRECTNESS CRITERIA + OTHER CONFORMANCE DIMENSIONS TAKE HOME POINTS 15 DECIDE IF THERE EXISTS A PRIVATE VIEW OF PUBB WHICH CONFORMS TO EVENT LOG LOGB 1 WITH BEST MATCHING PRIVATE VIEW MB 2 IMPLEMENTATION FOR ACYCLIC PUBLIC VIEW AND WEAK TERMINATION FUTURE WORK + IMPLEMENTATION FOR CYCLIC PUBLIC VIEWS + EVALUATION WITH INDUSTRIAL MODELS + OTHER CORRECTNESS CRITERIA + OTHER CONFORMANCE DIMENSIONS THANK YOU! richard.mueller@informatik.hu-berlin.de http://about.me/richardmueller RICHARD MÜLLER WIL VAN DER AALST CHRISTIAN STAHL
