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Leonidas Camarinopoulos

dblp:10/512 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none

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

Software engineering, systems software and programming languages · 1Theory of computation · 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.

Theoretical computer science
1 paper
Graph algorithms and graph theory · 100%
Software engineering, system software, and programming languages
1 paper
Software testing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Graph algorithms and graph theory › network analysis › network reliability
k-terminal reliability
0.011996
Note on "A Linear-Time Algorithm for Computing K-Terminal Reliability in a Series-Parallel Network" · SIAM J. Comput. 1996
Graph algorithms and graph theory › network analysis
network reliability
0.011996
Note on "A Linear-Time Algorithm for Computing K-Terminal Reliability in a Series-Parallel Network" · SIAM J. Comput. 1996
Software testing › software reliability
software reliability modeling
0.011990
A Bayesian Estimation Method for the Failure Rate a Possibly Correct Program · IEEE Trans. Software Eng. 1990
Graph algorithms and graph theory › graph classes › sparse graphs
series-parallel graphs
0.011996
Note on "A Linear-Time Algorithm for Computing K-Terminal Reliability in a Series-Parallel Network" · SIAM J. Comput. 1996

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

reliability-preserving reductions · 0.0conjugate priors · 0.0bayesian estimation · 0.0
YearPublicationVenuePosition
1996 Note on "A Linear-Time Algorithm for Computing K-Terminal Reliability in a Series-Parallel Network"
abstract
In an original and very interesting paper (Satyanarayana and Wood [1]) concerning polygon-to-chain reductions in a stochastic network, a small inconsistency occurs in the proof of Theorem 1. In particular, this happens in cases where the whole set of ${\bf K}$-vertices lies in the remaining polygon. Such an example is the case of polygon type 5, where the appropriate note has been made by the authors for $|{\bf K}| = 2$. Analogous notes must also be made for polygon types 4, 6, and 7, when ${\bf K} = 2,3$, and 4, respectively. The correct transformations are given in Table 1 (note that dark vertices are ${\bf K}$-vertices).
Appajosyula Satyanarayana, R. Kevin Wood, Leonidas Camarinopoulos, G. Pampoukis
SIAM J. Comput.3
1990 A Bayesian Estimation Method for the Failure Rate a Possibly Correct Program
abstract
An extension of software reliability modeling is introduced to account for the possibility of programs which, after some debugging, contain no more errors. This is achieved by a repetitive application of the Bayes law, each time taking the posterior of the last step as a prior for the next one. A class of conjugate priors considerably facilitates this modeling. The resulting model includes an estimator for the probability that a program still contains errors, which is an upper bound for the failure probability.>
Günter Becker, Leonidas Camarinopoulos
IEEE Trans. Software Eng.2