8 citations · 17 across the 9 of their papers we have counts for
9 papers
Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation
Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer
Finding optimal join orders is among the most crucial steps to be performed by query optimisers. Though extensively studied in data management research, the problem remains far fro…
Oops!... I did it again. Analysing and Handling Conclusion (In-)Stability in Socio-Technical Software Engineering
Nicole Hoess, Carlos Paradis, Rick Kazman +1
Context: Mining software repositories is a popular means to gain insights into a software project's evolution, monitor project health, support decisions and derive best practices.…
QML Essentials -- A framework for working with Quantum Fourier Models
Melvin Strobl, Maja Franz, Eileen Kuehn +2
In this work, we propose a framework in the form of a Python package, specifically designed for the analysis of Quantum Machine Learning models. This framework is based on the Penn…
Make Some Noise! Measuring Noise Model Quality in Real-World Quantum Software
Stefan Raimund Maschek, Jürgen Schwitalla, Maja Franz +1
Noise and imperfections are among the prevalent challenges in quantum software engineering for current NISQ systems. They will remain important in the post-NISQ area, as logical, e…
From Hope to Heuristic: Realistic Runtime Estimates for Quantum Optimisation in NHEP
Maja Franz, Manuel Schönberger, Melvin Strobl +5
Noisy Intermediate-Scale Quantum (NISQ) computers, despite their limitations, present opportunities for near-term quantum advantages in Nuclear and High-Energy Physics (NHEP) when…
Does the Tool Matter? Exploring Some Causes of Threats to Validity in Mining Software Repositories
Nicole Hoess, Carlos Paradis, Rick Kazman +1
Software repositories are an essential source of information for software engineering research on topics such as project evolution and developer collaboration. Appropriate mining t…
QCE'24 Tutorial: Quantum Annealing -- Emerging Exploration for Database Optimization
Nitin Nayak, Manuel Schönberger, Valter Uotila +4
Quantum annealing is a meta-heuristic approach tailored to solve combinatorial optimization problems with quantum annealers. In this tutorial, we provide a fundamental and comprehe…
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
Maja Franz, Tobias Winker, Sven Groppe +1
Identifying optimal join orders (JOs) stands out as a key challenge in database research and engineering. Owing to the large search space, established classical methods rely on app…
In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study
Wolfgang Mauerer, Mitchell Joblin, Damian A. Tamburri +3
We report on a large-scale empirical study investigating the relevance of socio-technical congruence over key basic software quality metrics, namely, bugs and churn. In particular,…