38 citations · 51 across the 12 of their papers we have counts for
10 papers · 1 filter
Why Are Agentic Pull Requests Merged or Rejected? An Empirical Study
Sien Reeve O. Peralta, Fumika Hoshi, Hironori Washizaki +8
AI coding agents increasingly submit pull requests (Agentic-PRs) to open-source repositories, yet their performance is commonly assessed using merge and rejection outcomes alone. W…
ArgRE: Formal Argumentation for Conflict Resolution in Multi-Agent Requirements Negotiation
Haowei Cheng, Milhan Kim, Chong Liu +6
As software systems grow in complexity, they must satisfy an increasing number of competing quality attributes, making it essential to balance them in a principled manner -- for ex…
QUARE: Quality-Aware Requirements Analysis through Multi-Agent Dialectical Negotiation
Haowei Cheng, Milhan Kim, Foutse Khomh +4
Automating requirements quality analysis remains challenging because multiple, often conflicting quality attributes must be balanced while preserving stakeholder intent. Existing L…
Generative AI for Requirements Engineering: A Systematic Literature Review
Haowei Cheng, Jati H. Husen, Yijun Lu +4
Introduction: Requirements engineering faces challenges due to the handling of increasingly complex software systems. These challenges can be addressed using generative AI. Given t…
Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection
Xingfang Wu, Heng Li, Nobukazu Yoshioka +2
One goal of technical online communities is to help developers find the right answer in one place. A single question can be asked in different ways with different wordings, leading…
Identifying Characteristics of the Agile Development Process That Impact User Satisfaction
Minshun Yang, Seiji Sato, Hironori Washizaki +2
The purpose of this study is to identify the characteristics of Agile development processes that impact user satisfaction. We used user reviews of OSS smartphone apps and various d…
Systematic Literature Review of Gender and Software Engineering in Asia
Hironori Washizaki
It is essential to discuss the role, difficulties, and opportunities concerning people of different gender in the field of software engineering research, education, and industry. A…
Machine Learning Application Development: Practitioners' Insights
Md Saidur Rahman, Foutse Khomh, Alaleh Hamidi +3
Nowadays, intelligent systems and services are getting increasingly popular as they provide data-driven solutions to diverse real-world problems, thanks to recent breakthroughs in…
Studying Software Engineering Patterns for Designing Machine Learning Systems
Hironori Washizaki, Hiromu Uchida, Foutse Khomh +1
Machine-learning (ML) techniques have become popular in the recent years. ML techniques rely on mathematics and on software engineering. Researchers and practitioners studying best…
Landscape of IoT Patterns
Hironori Washizaki, Nobukazu Yoshioka, Atsuo Hazeyama +5
Patterns are encapsulations of problems and solutions under specific contexts. As the industry is realizing many successes (and failures) in IoT systems development and operations,…