Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Shunichi Amano

dblp:145/3947 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2014
—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
Requirements engineering and software design · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design › model-driven engineering
domain-specific modeling
0.212014
Controlled modeling environment using flexibly-formatted spreadsheets · ICSE 2014
Requirements engineering and software design
model-driven engineering
0.212014
Controlled modeling environment using flexibly-formatted spreadsheets · ICSE 2014

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

flexibly-formatted spreadsheets · 0.2
YearPublicationVenuePosition
2014 Controlled modeling environment using flexibly-formatted spreadsheets
abstract
As modeling in software and system development becomes increasingly prevalent, many engineers need to collaboratively develop models spanning many disciplines such as requirements management, system design, software, etc. However, integrating modeling languages for various disciplines is challenging, because UML and SysML are too complex for many engineers to understand. Therefore, in complicated engineering processes, engineers with different areas of expertise often find it difficult to access the same information in different domain-specific modeling environments.
Hisashi Miyashita, Hideki Tai, Shunichi Amano
ICSE3