most citedPreliminary Systematic Literature Review of Machine Learning System Development Process

7 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2023

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…

cs.CL2023

Design by Contract Framework for Quantum Software

Masaomi Yamaguchi, Nobukazu Yoshioka

To realize reliable quantum software, techniques to automatically ensure the quantum software's correctness have recently been investigated. However, they primarily focus on fixed…

cs.LG2019★ 7 cited

Preliminary Systematic Literature Review of Machine Learning System Development Process

Yasuhiro Watanabe, Hironori Washizaki, Kazunori Sakamoto +5

Previous machine learning (ML) system development research suggests that emerging software quality attributes are a concern due to the probabilistic behavior of ML systems. Assumin…

cs.CR2019

Incidents Are Meant for Learning, Not Repeating: Sharing Knowledge About Security Incidents in Cyber-Physical Systems

Faeq Alrimawi, Liliana Pasquale, Deepak Mehta +2

Cyber-physical systems (CPSs) are part of most critical infrastructures such as industrial automation and transportation systems. Thus, security incidents targeting CPSs can have d…

cs.SE2019

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,…