Tootfinder

Refactoring Towards Microservices: Preparing the Ground for Service Extraction
Rita Peixoto, Filipe F. Correia, Thatiane Rosa, Eduardo Guerra, Alfredo Goldman
https://arxiv.org/abs/2510.03050

Refactoring Towards Microservices: Preparing the Ground for Service Extraction
As organizations increasingly transition from monolithic systems to microservices, they aim to achieve higher availability, automatic scaling, simplified infrastructure management, enhanced collaboration, and streamlined deployments. However, this migration process remains largely manual and labour-intensive. While existing literature offers various strategies for decomposing monoliths, these approaches primarily focus on architecture-level guidance, often overlooking the code-level challenges …

Training weekend ended early due to external factors beyond our control. Was fun while it lasted.
But that means I'm home tonight instead of under a tarp, which means I can get back to refactoring the STM32MP2 PCIe driver to make it slightly less full of hard coded pointers and magic numbers.

Thanks to Beruhigungsschranz, I managed to get major refactoring done. 🥳🥳
Next up is filing PRs. 5 done already.
And theeeeen we can rewrite ME partitions; that is, relocate and truncate them to free space.

Evaluating the impact of code smell refactoring on the energy consumption of Android applications
Hina Anwar, Dietmar Pfahl, Satish N. Srirama
https://arxiv.org/abs/2509.26031 h…

Evaluating the impact of code smell refactoring on the energy consumption of Android applications
Energy consumption of mobile apps is a domain that is receiving a lot of attention from researchers. Recent studies indicate that the energy consumption of mobile devices could be improved by improving the quality of mobile apps. Frequent refactoring is one way of achieving this goal. In this paper, we explore the performance and energy impact of several common code refactorings in Android apps. Experimental results indicate that some code smell refactorings positively impact the energy consump…

FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters
Yanying Lin, Shijie Peng, Chengzhi Lu, Chengzhong Xu, Kejiang Ye
https://arxiv.org/abs/2510.11938

FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters
Serving Large Language Models (LLMs) in production faces significant challenges from highly variable request patterns and severe resource fragmentation in serverless clusters. Current systems rely on static pipeline configurations that struggle to adapt to dynamic workload conditions, leading to substantial inefficiencies. We present FlexPipe, a novel system that dynamically reconfigures pipeline architectures during runtime to address these fundamental limitations. FlexPipe decomposes models i…

Ouch:
"I stumbled upon a bug in RNP that has been introduced when refactoring. Namely, session keys generated for PKESK are not randomized but always zero."
#RNP is #Thunderbird's implementation of #OpenPGP

I finished my Vienna canework pattern (Wiener Geflecht), its just a first PoC, maybe it needs some more refactoring before I might think about some round variation.
#openscad #3dmodelling #3dprinting

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/6]:
- Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring
Fraol Batole, et al.