28 citations · 82 across the 15 of their papers we have counts for
15 papers
Empirical Software Engineering in Practice: Insights from Google
Roberto Verdecchia, Justus Bogner
While it is fairly well known how empirical software engineering (ESE) is used in the academic world, we have limited knowledge of how ESE is practiced in industry. As part of our…
The State of Peer Review in Empirical Software Engineering: A Community Survey on Review Load, Quality, and GenAI Use
Justus Bogner, Roberto Verdecchia
The scientific peer review system has been slowly deteriorating over the last years, and not just within empirical software engineering (ESE) research. Increased submission numbers…
The Human Need for Storytelling: Reflections on Qualitative Software Engineering Research With a Focus Group of Experts
Roberto Verdecchia, Justus Bogner
From its first adoption in the late 80s, qualitative research has slowly but steadily made a name for itself in what was, and perhaps still is, the predominantly quantitative softw…
ACM SIGSOFT SEN Empirical Software Engineering: Introducing Our New Regular Column
Justus Bogner, Roberto Verdecchia
From its early foundations in the 1970s, empirical software engineering (ESE) has evolved into a mature research discipline that embraces a plethora of different topics, methodolog…
Notes On Writing Effective Empirical Software Engineering Papers: An Opinionated Primer
Roberto Verdecchia, Justus Bogner
While mastered by some, good scientific writing practices within Empirical Software Engineering (ESE) research appear to be seldom discussed and documented. Despite this, these pra…
Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices
Luís Cruz, João Paulo Fernandes, Maja H. Kirkeby +22
The environmental impact of Artificial Intelligence (AI)-enabled systems is increasing rapidly, and software engineering plays a critical role in developing sustainable solutions.…
How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations
Ashmita Sampatsing, Sophie Vos, Emma Beauxis-Aussalet +1
With the ever-growing adoption of artificial intelligence (AI), AI-based software and its negative impact on the environment are no longer negligible, and studying and mitigating t…
How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration
Shreyas Kumar Parida, Ilias Gerostathopoulos, Justus Bogner
Machine learning (ML) models are often integrated into ML-enabled systems to provide software functionality that would otherwise be impossible. This integration requires the select…
The More the Merrier? Navigating Accuracy vs. Energy Efficiency Design Trade-Offs in Ensemble Learning Systems
Rafiullah Omar, Justus Bogner, Henry Muccini +3
Background: Machine learning (ML) model composition is a popular technique to mitigate shortcomings of a single ML model and to design more effective ML-enabled systems. While ense…
An Analysis of MLOps Architectures: A Systematic Mapping Study
Faezeh Amou Najafabadi, Justus Bogner, Ilias Gerostathopoulos +1
Context. Despite the increasing adoption of Machine Learning Operations (MLOps), teams still encounter challenges in effectively applying this paradigm to their specific projects.…
How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection
Rafiullah Omar, Justus Bogner, Joran Leest +3
ML-enabled systems that are deployed in a production environment typically suffer from decaying model prediction quality through concept drift, i.e., a gradual change in the statis…
Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems
Apoorva Nalini Pradeep Kumar, Justus Bogner, Markus Funke +1
Recent advances in artificial intelligence (AI) capabilities have increased the eagerness of companies to integrate AI into software systems. While AI can be used to have a positiv…
RESTRuler: Towards Automatically Identifying Violations of RESTful Design Rules in Web APIs
Justus Bogner, Sebastian Kotstein, Daniel Abajirov +2
RESTful APIs based on HTTP are one of the most important ways to make data and functionality available to applications and software services. However, the quality of the API design…
A Synthesis of Green Architectural Tactics for ML-Enabled Systems
Heli Järvenpää, Patricia Lago, Justus Bogner +3
The rapid adoption of artificial intelligence (AI) and machine learning (ML) has generated growing interest in understanding their environmental impact and the challenges associate…
Analyzing the Evolution and Maintenance of ML Models on Hugging Face
Joel Castaño, Silverio Martínez-Fernández, Xavier Franch +1
Hugging Face (HF) has established itself as a crucial platform for the development and sharing of machine learning (ML) models. This repository mining study, which delves into more…