Barton P. Miller mainly focuses on Debugging, Operating system, Distributed computing, Instrumentation and Programming language. The concepts of his Debugging study are interwoven with issues in Shared memory, Parallel computing, Tracing and Identification. As part of his studies on Operating system, Barton P. Miller often connects relevant subjects like Mobile agent.
His study in Distributed computing is interdisciplinary in nature, drawing from both Extensibility, Scalability and Theoretical computer science. His research in Instrumentation intersects with topics in Computer hardware, Embedded system, Overhead and Code. His research in the fields of Compiler and Profiling overlaps with other disciplines such as Stack trace.
His primary scientific interests are in Debugging, Operating system, Distributed computing, Programming language and Instrumentation. His Debugging study incorporates themes from Software engineering, Tracing, Programmer and Parallel computing. Operating system is closely attributed to Embedded system in his research.
Barton P. Miller works mostly in the field of Distributed computing, limiting it down to topics relating to Scalability and, in certain cases, Multicast, Overlay network, Middleware and Set, as a part of the same area of interest. His Unix research is multidisciplinary, incorporating perspectives in Random testing, Workstation and Fuzz testing. Barton P. Miller combines subjects such as Real-time computing and Host with his study of Process.
His primary areas of investigation include Computer security, Software, Software engineering, Vulnerability assessment and Software assurance. His Computer security research includes themes of Center of excellence, Service and Secure coding. His work on Software system as part of general Software study is frequently linked to Process, Development and Empirical research, therefore connecting diverse disciplines of science.
Barton P. Miller has researched Software engineering in several fields, including Pointer, Relevance, Scripting language, Unix and Fuzz testing. His Computer engineering study combines topics from a wide range of disciplines, such as Debugging and Reduction. The study incorporates disciplines such as Construct and Distributed computing in addition to Reduction.
Barton P. Miller focuses on Code, Data mining, Distributed computing, Binary code and Instrumentation. His Data mining study integrates concerns from other disciplines, such as Titan and Cluster analysis. His Distributed computing study combines topics in areas such as Data transmission, Class, Reduction, Graphics processing unit and Central processing unit.
His research on Binary code also deals with topics like
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An empirical study of the reliability of UNIX utilities
Barton P. Miller;Louis Fredriksen;Bryan So.
Communications of The ACM (1990)
The Paradyn parallel performance measurement tool
B.P. Miller;M.D. Callaghan;J.M. Cargille;J.K. Hollingsworth.
IEEE Computer (1995)
What are race conditions?: Some issues and formalizations
Robert H. B. Netzer;Barton P. Miller.
ACM Letters on Programming Languages and Systems (1992)
Optimal tracing and replay for debugging message-passing parallel programs
Robert H. B. Netzer;Barton P. Miller.
The Journal of Supercomputing (1994)
Process migration in DEMOS/MP
Michael L. Powell;Barton P. Miller.
international conference on mobile technology, applications, and systems (1999)
An empirical study of the robustness of MacOS applications using random testing
Barton P. Miller;Gregory Cooksey;Fredrick Moore.
Operating Systems Review (2007)
Fuzz Revisited: A Re-examination of the Reliability of UNIX Utilities and Services
Barton P Miller;David Koski;Cjin Pheow Lee;Vivekandanda Maganty.
An empirical study of the robustness of Windows NT applications using random testing
Justin E. Forrester;Barton P. Miller.
conference on usenix windows systems symposium (2000)
MRNet: A Software-Based Multicast/Reduction Network for Scalable Tools
Philip C. Roth;Dorian C. Arnold;Barton P. Miller.
conference on high performance computing (supercomputing) (2003)
IPS-2: the second generation of a parallel program measurement system
B.P. Miller;M. Clark;J. Hollingsworth;S. Kierstead.
IEEE Transactions on Parallel and Distributed Systems (1990)
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