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Takuya Fukamachi

dblp:166/1092 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2017
—ORCID · none

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

Software engineering, systems software and programming languages · 3 · 2 first-author

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 · 50% Software testing · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing
test-driven development
0.212015
Poster: Conquering Uncertainty in Java Programming · ICSE (2) 2015
YearPublicationVenuePosition
2017 iArch-U: Interface-Centric Integrated Uncertainty-Aware Development Environment
abstract
Uncertainty can appear in all aspects of software development: uncertainty in requirements analysis, design decisions, implementation and testing. If uncertainty can be dealt with modularly, we can add or delete uncertain concerns to/from models, code and tests whenever these concerns arise or are fixed to certain concerns. To deal with this problem, we developed iArch-U, an IDE (Integrated Development Environment) for managing uncertainty modularly in all phases in software development. In this paper, we introduce an overview of iArch-U. The iArch-U IDE is open source software and can be downloaded from GitHub.
Keisuke Watanabe, Naoyasu Ubayashi, Takuya Fukamachi, Shunya Nakamura, Hokuto Muraoka, Yasutaka Kamei
MiSE@ICSE3
2015 Modularity for Uncertainty
abstract
Uncertainty can appear in all aspects of software development: uncertainty in requirements analysis, design decisions, implementation, and testing. As the research on uncertainty is so young, there are many issues to be tackled. Modularity for Uncertainty is one of them. If uncertainty can be dealt with modularly, we can add or delete uncertain concerns to/from models, code, and tests whenever these concerns arise or are fixed to certain concerns. To deal with this challenging issue, we propose a modularization mechanism for uncertainty. Agile methods embrace change to accept changeable user requirements. On the other hand, our approach embraces uncertainty to support exploratory development. This paper sets out a focused research agenda for uncertainty in terms of the new modularity vision.
Takuya Fukamachi, Naoyasu Ubayashi, Shintaro Hosoai, Yasutaka Kamei
MiSE@ICSE1
2015 Poster: Conquering Uncertainty in Java Programming
abstract
Uncertainty in programming is one of the challenging issues to be tackled, because it is error-prone for many programmers to temporally avoid uncertain concerns only using simple language constructs such as comments and conditional statements. This paper proposes ucJava, a new Java programming environment for conquering uncertainty. Our environment provides a modular programming style for uncertainty and supports test-driven development taking uncertainty into consideration.
Takuya Fukamachi, Naoyasu Ubayashi, Shintaro Hosoai, Yasutaka Kamei
ICSE (2)1