Graph-theoretic Properties of Control Flow Graphs and Applications

dc.contributor.authorKumar, Neeraj
dc.date.accessioned2015-08-25T18:31:27Z
dc.date.available2015-08-25T18:31:27Z
dc.date.issued2015-08-25
dc.date.submitted2015
dc.description.abstractThis thesis deals with determining appropriate width parameters of control flow graphs so that certain computationally hard problems of practical interest become efficiently solvable. A well-known result of Thorup states that the treewidth of control flow graphs arising from structured (goto-free) programs is at most six. However, since a control flow graph is inherently directed, it is very likely that using a digraph width measure would give better algorithms for problems where directional properties of edges are important. One such problem, parity game, is closely related to the μ-calculus model checking problem in software verification and is known to be tractable on graphs of bounded DAG-width, Kelly-width or entanglement. Motivated by this, we show that the DAG-width of control flow graphs arising from structured programs is at most three and give a linear-time algorithm to compute the corresponding DAG decomposition. Using similar techniques, we show that Kelly-width of control flow graphs is also bounded by three. Additionally, we also show that control flow graphs can have unbounded entanglement. In light of these results, we revisit the complexity of the μ-calculus model checking problem on these special graph classes and show that we can obtain better running times for control flow graphs.en
dc.identifier.urihttp://hdl.handle.net/10012/9580
dc.language.isoenen
dc.pendingfalse
dc.publisherUniversity of Waterloo
dc.subjecttreewidthen
dc.subjectDAG-widthen
dc.subjectentanglementen
dc.subjectKelly-widthen
dc.subjectcontrol flow graphsen
dc.subjectmu-calculus model checkingen
dc.subjectspecial graph classesen
dc.subject.programComputer Scienceen
dc.titleGraph-theoretic Properties of Control Flow Graphs and Applicationsen
dc.typeMaster Thesisen
uws-etd.degreeMaster of Mathematicsen
uws-etd.degree.departmentComputer Science (David R. Cheriton School of)en
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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