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Zachary F. Lansdowne

dblp:05/3526 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Software testing · 100%
Computer networks
1 paper
Network performance modeling · 44% Network optimization and economics · 44% Routing and switching · 13%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing
fault detection
0.012001
Reliability Estimation for a Software System with Sequential Independent Reviews · IEEE Trans. Software Eng. 2001
Software testing › software reliability
reliability estimation
0.012001
Reliability Estimation for a Software System with Sequential Independent Reviews · IEEE Trans. Software Eng. 2001
Software testing
software reliability
0.012001
Reliability Estimation for a Software System with Sequential Independent Reviews · IEEE Trans. Software Eng. 2001
Network performance modeling
network reliability
0.011993
A stopping rule for link failure detection · IEEE Trans. Commun. 1993
Network optimization and economics › online decision making
optimal stopping
0.011993
A stopping rule for link failure detection · IEEE Trans. Commun. 1993
Routing and switching › packet switching
virtual circuit
0.011993
A stopping rule for link failure detection · IEEE Trans. Commun. 1993

Methods — techniques the papers use, named apart from their topics

sequential test and correction cycles · 0.0optimal stopping theory · 0.0
YearPublicationVenuePosition
2001 Reliability Estimation for a Software System with Sequential Independent Reviews
abstract
Suppose that several sequential test and correction cycles have been completed for the purpose of improving the reliability of a given software system. One way to quantify the success of these efforts is to estimate the probability that all faults are found by the end of the last cycle, We describe how to evaluate this probability both prior to and after observing the numbers of faults detected in each cycle and we show when these two evaluations would be the same.
Nancy E. Rallis, Zachary F. Lansdowne
IEEE Trans. Software Eng.2
1993 A stopping rule for link failure detection
abstract
If an acknowledgement is not received for a data packet transmitted along a given virtual circuit, acknowledgement requests can be sent to discover whether the link has failed. A derivation is given for the optimal value of the maximum number of requests.>
Zachary F. Lansdowne
IEEE Trans. Commun.1