Show simple item record

Performance, Security, and Safety Requirements Testing for Smart Systems Through Systematic Software Analysis

dc.contributor.authorHong, Ke
dc.date.accessioned2019-10-01T18:28:33Z
dc.date.availableNO_RESTRICTION
dc.date.available2019-10-01T18:28:33Z
dc.date.issued2019
dc.date.submitted
dc.identifier.urihttps://hdl.handle.net/2027.42/151693
dc.description.abstractSmartphones, wearable devices and emerging autonomous vehicles (AVs) are significantly transforming our way of communication, networking, knowledge acquisition, healthcare and transportation. As our daily lives are increasingly relying on these smart end systems, certain guarantees on the performance, security and safety becomes critical requirements to the design and implementation of the software for these systems. To ensure such key requirements are met before shipping the software into users’ devices/vehicles, it is necessary to exhaustively test and verify the software at the development and testing stage. However, testing and verifying the performance, security and safety requirements for the software of these systems remains a research challenge. Due to the high mobility of these systems in the real world, the runtime environments faced by these systems vary significantly, which poses challenges to the testing and validation of performance requirements. Also, due to the layering design fashion and multi-party development process, software running on these systems is usually highly complex, potentially enlarging attack surface and posing challenges to the testing and validation of security and safety requirements. To address this challenge, this dissertation focuses on developing systematic and automated software analysis tools for testing the performance, security and safety requirements of the software for smart end systems. Specifically, we demonstrate that automated program analyses based on 1) static program analysis and 2) runtime program profiling with certain system domain-specific customization, can lead to effective testing and validation of key performance, security and safety requirements for smart system software. This dissertation contributes to the performance, security and safety requirements testing of smart end systems in following aspects: (1) effectively test performance requirements and diagnose the cause of performance slowdown through lightweight monitoring of and systematic performance characterization based on cross-layer runtime events, (2) systematically detect noncompliance with important security principles (e.g., publish-subscribe overprivilege vulnerability) through systematic program analysis and mitigate security vulnerabilities through policy enforcement, and (3) systematically verify the compliance with safety requirements on the mission-critical components (e.g., AV’s driving decision control) of smart end systems.
dc.language.isoen_US
dc.subjectSmart end systems
dc.subjectRequirement testing
dc.subjectSoftware analysis
dc.subjectPerformance
dc.subjectSecurity
dc.subjectSafety
dc.titlePerformance, Security, and Safety Requirements Testing for Smart Systems Through Systematic Software Analysis
dc.typeThesis
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineComputer Science & Engineering
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studies
dc.contributor.committeememberMao, Z Morley
dc.contributor.committeememberSchaub, Florian
dc.contributor.committeememberChen, Qi Alfred
dc.contributor.committeememberMahlke, Scott
dc.subject.hlbsecondlevelComputer Science
dc.subject.hlbtoplevelEngineering
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/151693/1/kehong_1.pdf
dc.identifier.orcid0000-0002-8830-373X
dc.identifier.name-orcidHong, Ke; 0000-0002-8830-373Xen_US
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.