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Genki Moriyama

dblp:22/3956 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none

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

Software 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
Programming languages and type systems · 75% Runtime systems and virtual machines · 25%

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

TopicWeightPapersLastEvidence papers
Programming languages and type systems
aspect-oriented programming
0.112005
A parameterized interpreter for modeling different AOP mechanisms · ASE 2005
Programming languages and type systems › aspect-oriented programming
aspect weaving
0.112005
A parameterized interpreter for modeling different AOP mechanisms · ASE 2005
Runtime systems and virtual machines
interpreter
0.112005
A parameterized interpreter for modeling different AOP mechanisms · ASE 2005
Programming languages and type systems
language semantics
0.112005
A parameterized interpreter for modeling different AOP mechanisms · ASE 2005

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

parameterized interpreter · 0.1
YearPublicationVenuePosition
2005 A parameterized interpreter for modeling different AOP mechanisms
abstract
We present a parameterized interpreter for modeling aspect-oriented mechanisms. The interpreter takes several parameters to cover different AOP mechanisms found in AspectJ, Hyper/J, and Demeter. The interpreter helps our understanding of the AOP mechanisms in two ways. First, its core part represents the common mechanical structure shared by different AOP mechanisms. Second, by reconstructing the existing AOP mechanisms and using parameters to configure the interpreter, we can illustrate the differences and similarities of those mechanisms clearly. This will also be helpful in rapid-prototyping a new AOP mechanism or a reflective AOP system that supports different mechanisms.
Naoyasu Ubayashi, Genki Moriyama, Hidehiko Masuhara, Tetsuo Tamai
ASE2