カテゴリー別アーカイブ: 未分類

ID3P: Iterative Data-Driven Development of Personas to Improve Business Goals, Strategies, and Measurements accepted at Journal of Information Science and Engineering (SCIE, Scopus, DBLP indexed)

Yasuhiro Watanabe, Hironori Washizaki, Kiyoshi Honda, Yuki Noyori, Yoshiaki Fukazawa, Aoi Morizuki, Hiroyuki Shibata, Kentaro Ogawa, Mikako Ishigaki, Sachiyo Shiizaki, Teppei Yamaguchi and Tomoaki Yagi, “ID3P: Iterative Data-Driven Development of Personas to Improve Business Goals, Strategies, and Measurements,” Journal of Information Science and Engineering, Special Issue on Interdisciplinary Study on Software Engineering and Data Science, 2018. (to appear)

Personas are fictional characters used to understand users’ requirements. Many researchers have proposed persona development methods from quantitative data (data-driven
personas development). These works do not assume that personas are used continuously or that they can reflect on changes in users, making it difficult to plan reliable strategies in a web service due to dynamic changes in users’ preference. Generally, measuring the effect of strategies is challenging. Personas, which do not reflect on actual current users, prevent effective measurements of business strategies and suitable decision-making. To develop more suitable personas for decision-making in a web service, we previously proposed Iterative Data-Driven Development of Personas (ID3P). To detect changes in users’ characteristics, our proposal includes an iterative process where personas are quantitatively evaluated and revised. Moreover, it provides a quantitative evaluation of business strategies based on GQM+Strategies and personas to improve business strategies and goals. This paper is an extension of our previous work. ID3P can verify personas and strategies even when changes in personas are not drastic. We employed additional case study involving Yahoo! JAPAN’s web service called Netallica to verify it.

鷲崎教授が2017年度 早稲田大学リサーチアワード(国際研究発信力)の受賞者に決定

早稲田大学リサーチアワード(国際研究発信力)の受賞が決まりました。連携先のご支援に御礼申し上げますとともに、学生や卒業生の積み重ねに感謝です。ティーチングアワード総長賞とのダブル受賞となり、これからも研究と教育を車の両輪として謙虚に取り組んでまいります。

鷲崎弘宜, 早稲田大学リサーチアワード(国際研究発信力), 2018年2月

読売新聞 12月1日朝刊 くらし教育面の特集「ゲーム教材を小学授業に」にて、G7プログラミングラーニングサミットの取組みを取り上げていただきました。

読売新聞 12月1日朝刊 くらし教育面の特集「ゲーム教材を小学授業に」にて、G7プログラミングラーニングサミットの取組みを取り上げていただきました。

読売新聞, くらし教育面の特集「ゲーム教材を小学授業に」, 2017年12月1日

Prof. Washizaki gave a keynote titled “Pitfalls and Countermeasures in Software Quality Measurements and Evaluations” at #QuASoQ2017, a workshop of #APSEC2017

Prof. Washizaki gave a keynote titled “Pitfalls and Countermeasures in Software Quality Measurements and Evaluations” at QuASoQ2017, a workshop of APSEC2017 at Nanjing. http://quasoq2017.swc-rwth.de/
24294349_1867793316581986_7487712335495227973_n24312390_1867793313248653_7905511525665221780_n
https://www.slideshare.net/hironoriwashizaki/pitfalls-and-countermeasures-in-software-quality-measurements-and-evaluations

In addition, M1 Yuichiro Senzaki gave a talk titled “A Web Application to Manage and Improve Software Development Projects by SEMAT Essence” at QuASoQ2017.

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鷲崎教授が11/25-26 岡山市で開催、しごと能力研究学会 第10回全国大会にて「IoT/クラウド/ビッグデータ/AI に関する文科省 社会人教育プログラム」と題し enPiT-Proスマートエスイーを基調報告

11/25-26 岡山市で開催、しごと能力研究学会 第10回全国大会にて「IoT/クラウド/ビッグデータ/AI に関する文科省 社会人教育プログラム」と題し enPiT-Proスマートエスイーを基調報告

https://www.slideshare.net/hironoriwashizaki/enpitpro-83231387

ProMeTA: A Taxonomy for Program Metamodels in Program Reverse Engineering, accepted at Empirical Software Engineering journal (SCIE indexed, CORE Rank A)

Hironori Washizaki, Yann-Gael Gueheneuc, Foutse Khomh, “ProMeTA: A Taxonomy for Program Metamodels in Program Reverse Engineering,” Empirical Software Engineering (EMSE) journal, 2018. (SCIE indexed, CORE Rank A)(to appear)

To support program comprehension, maintenance, and evolution, metamodels are frequently used during program reverse engineering activities to describe and analyze constituents of a program and their relations. Reverse engineering tools often define their own metamodels according to the intended purposes and features. Although each metamodel has its own advantages, its limitations may be addressed by other metamodels. Existing works have evaluated and compared metamodels and tools, but none have considered all the possible characteristics and limitations to provide a comprehensive guideline for classifying, comparing, reusing, and extending program metamodels. To aid practitioners and researchers in classifying, comparing, reusing, and extending program metamodels and their corresponding reverse engineering tools according to the intended goals, we establish a conceptual framework with definitions of program metamodels and related concepts. We confirmed that any reverse engineering activity can be clearly described as a pattern based on the framework from the viewpoint of program metamodels. Then the framework is used to provide a comprehensive taxonomy, named Program Metamodel TAxonomy (ProMeTA), which incorporates newly identified characteristics into those stated in previous works, which were identified via a systematic literature review (SLR) on program metamodels, while keeping the orthogonality of the entire taxonomy. Additionally, we validate the taxonomy in terms of its orthogonality and usefulness through the classification of popular metamodels.

Goal Modelling for Security Problem Matching and Pattern Enforcement, accepted at International Journal of Secure Software Engineering (DBLP indexed)

Yijun Yu, Haruhiko Kaiya, Nobukazu Yoshioka, Zhenjiang Hu, Hironori Washizaki, Yingfei Xiong, Amin Hosseinian-Far, “Goal Modelling for Security Problem Matching and Pattern Enforcement,” International Journal of Secure Software Engineering (IJSSE), 2018. (DBLP indexed)