most citedSocio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront

20 citations · 20 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SE2026

On the Prospects of Dynamic LLM Conversations in Software Development

Annemarie Wittig, Alina Mailach, Janet Siegmund +1

Large language models (LLMs) have become an essential tool for assisting developers, yet we still lack knowledge on ways to effectively support their interactions during developmen…

cs.SE2026

Developer Attitudes and Practices Towards Optimizing Software Energy Consumption

Max Weber, Alina Mailach, Florian Sattler +2

Context: Software significantly influences the efficiency with which hardware resources are utilized, yet software energy consumption is seldom treated as a first-class concern in…

cs.SE202620 cited

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront

Alina Mailach, Norbert Siegmund

Although machine learning (ML)-enabled software systems seem to be a success story considering their rise in economic power, there are consistent reports from companies and practit…

cs.SE2024

Themes of Building LLM-based Applications for Production: A Practitioner's View

Alina Mailach, Sebastian Simon, Johannes Dorn +1

Background: Large language models (LLMs) have become a paramount interest of researchers and practitioners alike, yet a comprehensive overview of key considerations for those devel…

cs.SE2024

A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation

Sebastian Simon, Alina Mailach, Johannes Dorn +1

Retrieval-augmented generation (RAG) is an umbrella of different components, design decisions, and domain-specific adaptations to enhance the capabilities of large language models…