Motoshi Saeki

Motoshi Saeki

Tokyo Institute of Technology

H-index: 33

Asia-Japan

About Motoshi Saeki

Motoshi Saeki, With an exceptional h-index of 33 and a recent h-index of 15 (since 2020), a distinguished researcher at Tokyo Institute of Technology, specializes in the field of Software Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Locating Concepts on Use Case Steps in Source Code

Defining Bad Smells and Automating Their Detection in Goal-Oriented Requirement Analysis Method iStar

Locating Procedural Steps in Source Code

Cataloging Bad Smells in Use Case Descriptions and Automating Their Detection

Automating Bad Smell Detection in Goal Refinement of Goal Models

Handling Quantity in Variability Models for System-of-Systems

Applying class distance to decide similarity on information models for automated data interoperability

Supporting Proactive Refactoring: An Exploratory Study on Decaying Modules and Their Prediction

Motoshi Saeki Information

University

Position

___

Citations(all)

5457

Citations(since 2020)

837

Cited By

4997

hIndex(all)

33

hIndex(since 2020)

15

i10Index(all)

91

i10Index(since 2020)

24

Email

University Profile Page

Tokyo Institute of Technology

Google Scholar

View Google Scholar Profile

Motoshi Saeki Skills & Research Interests

Software Engineering

Top articles of Motoshi Saeki

Title

Journal

Author(s)

Publication Date

Locating Concepts on Use Case Steps in Source Code

IEICE TRANSACTIONS on Information and Systems

Shinpei HAYASHI

Teppei KATO

Motoshi SAEKI

2024/5/1

Defining Bad Smells and Automating Their Detection in Goal-Oriented Requirement Analysis Method iStar

Yoshitake Hirabayashi

Shinji Ohota

Suzuka Fujii

Motoshi Saeki

2023/12/4

Locating Procedural Steps in Source Code

Shinpei Hayashi

Teppei Kato

Motoshi Saeki

2023/6/26

Cataloging Bad Smells in Use Case Descriptions and Automating Their Detection

IEICE TRANSACTIONS on Information and Systems

Yotaro Seki

Shinpei Hayashi

Motoshi Saeki

2022/5/1

Automating Bad Smell Detection in Goal Refinement of Goal Models

IEICE TRANSACTIONS on Information and Systems

Shinpei Hayashi

Keisuke Asano

Motoshi Saeki

2022/5/1

Handling Quantity in Variability Models for System-of-Systems

International Journal of Software Engineering and Knowledge Engineering

Daisuke Shimbara

Motoshi Saeki

Shinpei Hayashi

Øystein Haugen

2021/5

Applying class distance to decide similarity on information models for automated data interoperability

International Journal of Software Engineering and Knowledge Engineering

Lan Wang

Shinpei Hayashi

Motoshi Saeki

2021/3

Supporting Proactive Refactoring: An Exploratory Study on Decaying Modules and Their Prediction

IEICE TRANSACTIONS on Information and Systems

Natthawute Sae-Lim

Shinpei Hayashi

Motoshi Saeki

2021/10/1

An extensive study on smell-aware bug localization

Journal of Systems and Software

Aoi Takahashi

Natthawute Sae-Lim

Shinpei Hayashi

Motoshi Saeki

2021/8/1

RefactorHub: A Commit Annotator for Refactoring

Ryo Kuramoto

Motoshi Saeki

Shinpei Hayashi

2021/5/20

多様なプログラミング言語に適用可能なソースコード変更パターン抽出手法

研究報告ソフトウェア工学 (SE)

安藤直樹, 佐伯元司, 林晋平

2020/6/25

Changebeadsthreader: An interactive environment for tailoring automatically untangled changes

Satoshi Yamashita

Shinpei Hayashi

Motoshi Saeki

2020/2/18

See List of Professors in Motoshi Saeki University(Tokyo Institute of Technology)