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020 ▼a 9780438126992
035 ▼a (MiAaPQ)AAI10903093
035 ▼a (MiAaPQ)umichrackham:001136
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 004
1001 ▼a Devecsery, David.
24510 ▼a Enabling Program Analysis Through Deterministic Replay and Optimistic Hybrid Analysis.
260 ▼a [S.l.]: ▼b University of Michigan., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 115 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Peter M. Chen.
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2018.
520 ▼a As software continues to evolve, software systems increase in complexity. With software systems composed of many distinct but interacting components, today's system programmers, users, and administrators find themselves requiring automated ways
520 ▼a In this thesis I focus on enabling practical entire-system retroactive analysis, allowing programmers, users, and system administrators to diagnose and understand the impact of these devastating mishaps. I focus primarly on two techniques. First
520 ▼a Record and replay systems greatly aid in solving a variety of problems, such as fault tolerance, forensic analysis, and information providence. These solutions, however, assume ubiquitous recording of any application which may have a problem. Cu
520 ▼a Dynamic analysis is used to retroactively identify and address many forms of system mis-behaviors including: programming errors, data-races, private information leakage, and memory errors. Unfortunately, the runtime overhead of dynamic analysis
520 ▼a In this thesis I demonstrate that Arnold's ability to record and replay entire computer systems, combined with optimistic hybrid analysis's ability to quickly analyze prior computation, enable a practical and useful entire system retroactive ana
590 ▼a School code: 0127.
650 4 ▼a Computer science.
690 ▼a 0984
71020 ▼a University of Michigan. ▼b Computer Science & Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000588 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033