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Dynamická detekce a léčení časově závislých chyb nad daty v prostředí Java / Dynamic Data Race Detection and Self-Healing in Java Programs

Finding concurrency bugs in complex software is difficult. As a contribution to coping with this problem the thesis proposes an architecture for a fully automated dynamic detection and healing of data races and atomicity violations in Java. Two distinct algorithms for detecting of data races are presented. One of them is a novel algorithm called AtomRace which detects data races as a special case of atomicity violations. The healing is based on suppressing a recurrence of the detected problem and can be performed by introducing an additional synchronization or by legally influencing the Java scheduler. Basically forces certain parts of the code  to be executed atomically. The proposed architecture uses bytecode instrumentation to be able to track and influence the execution. The architecture and algorithms were implemented and tested on multiple case studies.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:235989
Date January 2008
CreatorsLetko, Zdeněk
ContributorsKolář, Dušan, Vojnar, Tomáš
PublisherVysoké učení technické v Brně. Fakulta informačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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