By Edmund M. Clarke (auth.), Orna Grumberg, Helmut Veith (eds.)
Model checking expertise is one of the superior functions of good judgment to laptop technology and machine engineering. The version checking neighborhood has accomplished many breakthroughs, bridging the space among theoretical computing device technology and and software program engineering, and it really is achieving out to new demanding parts corresponding to method biology and hybrid structures. version checking is commonly utilized in the and has additionally been utilized to the verification of many sorts of software program. version checking has been brought into computing device technological know-how and electric engineering curricula at universities world wide and has develop into a common device for the research of systems.
This Festschrift quantity, released in social gathering of the twenty fifth Anniversary of version Checking, contains a selection of eleven invited papers in keeping with talks on the symposium "25 Years of version Checking", 25MC, which was once a part of the 18th overseas convention on laptop Aided Verification (CAV 2006), which in flip was once a part of the Federated common sense convention (FLoC 2006) held in Seattle, WA, united states, in August 2006.
Model checking is at the moment attracting huge recognition past the center technical neighborhood, and the ACM Turing Award 2007 was once given in popularity of the paradigm-shifting paintings in this subject initiated 1 / 4 century in the past. the following we honor that success with the inclusion of facsimile reprints of the visionary papers on version checking via Edmund Clarke and Allen Emerson, and by means of Jean-Pierre Queille and Joseph Sifakis.
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Extra info for 25 Years of Model Checking: History, Achievements, Perspectives
Edsger W. Dijkstra commented to me that it was an “acceptable crutch” if one was going to do after-the-fact veriﬁcation. When I had the pleasure of meeting Saul Kripke and explaining model checking over Kripke structures to him, he commented that he never thought of that. Daniel Jackson has remarked that model checking has “saved the reputation” of formal methods [Ja97]. In summary, model checking today provides automatic veriﬁcation that is applicable to a broad range of sizable systems including many that are industrial strength.
This corresponds to a large enough chunk of real estate on a chip to be extremely valuable. Larger components are often amenable to veriﬁcation through decomposition and compositional reasoning. BDDs tend to blow up in size for large designs. Conventional BDDs have topped out for systems with a few hundred state variables. SAT-based bounded model checking is an alternative approach [B+99]. The SAT approach can accommodate larger designs than the BDD approach. However it only explores for “close” errors at depth bounded by k where typically k ranges from a few tens to hundreds of steps.
Testing successfully identiﬁes many signiﬁcant errors. Yet, serious errors still aﬄict many computer systems including systems that are safety critical, mission critical, or economically vital. The US National Institute of Standards and Technology has estimated that programming errors cost the US economy $60B annually [Ni02]. Given the incomplete coverage of testing, alternative approaches have been sought. The most promising approach depends on the fact that programs and more generally computer systems may be viewed as mathematical objects with behavior that is in principle well-determined.
25 Years of Model Checking: History, Achievements, Perspectives by Edmund M. Clarke (auth.), Orna Grumberg, Helmut Veith (eds.)