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Mayumi Takahashi

dblp:86/526 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Software engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Databases, data mining, and information retrieval
1 paper
Data mining · 100%
Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 62% Software maintenance and evolution · 38%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining › structured data mining › graph mining
motif discovery
0.112016
AptaTRACE: Elucidating Sequence-Structure Binding Motifs by Uncovering Selection Trends in HT-SELEX Experiments · RECOMB 2016
Data mining
pattern mining
0.112016
AptaTRACE: Elucidating Sequence-Structure Binding Motifs by Uncovering Selection Trends in HT-SELEX Experiments · RECOMB 2016
Empirical software engineering › software metrics
productivity measurement
0.011992
Productivity Analysis of Software Development with an Integrated CASE Tool · ICSE 1992
Software maintenance and evolution › software reuse
reusable software components
0.011992
Productivity Analysis of Software Development with an Integrated CASE Tool · ICSE 1992
Software maintenance and evolution
software reuse
0.011992
Productivity Analysis of Software Development with an Integrated CASE Tool · ICSE 1992

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

selection trend analysis · 0.5HT-SELEX · 0.5quantitative data analysis · 0.0
YearPublicationVenuePosition
2016 AptaTRACE: Elucidating Sequence-Structure Binding Motifs by Uncovering Selection Trends in HT-SELEX Experiments
Phuong Dao, Jan Hoinka, Yijie Wang 0004, Mayumi Takahashi, Jiehua Zhou, Fabrizio Costa, John Rossi, John Burnett, Rolf Backofen, Teresa M. Przytycka
RECOMB4
1992 Productivity Analysis of Software Development with an Integrated CASE Tool
abstract
It has been expected that CASE tools reduce programming efforts and increase development productivity. However, little has been reported on the analysis of the effect on productivity using quantitative data. This paper discusses productivity improvement through the use of an integrated CASE tool system named EAGLE (Effective Approach to Achieving High Leve Software Productivity), as shown by various data collected in Hitachi from 1980 through 1990. We have evaluated productivity by using three metrics, 1)program generation rate using reusable program skeletons and components, 2)fault density at two test phase, and 3)learning curve for the education of inexperienced programmers. We will show that productivity have been improved by the various facilities of EAGLE.
Michio Tsuda, Yosuke Morioka, Masato Takadachi, Mayumi Takahashi
ICSE4