activity
20242026
most citedText Tells the Cost: Predicting and Analyzing Repayment Effort of Self-Admitted Technical Debt

1 citations · 1 across the 5 of their papers we have counts for

collaborators

9 papers

cs.SE2026

Energy Efficiency in Microservice Architectures: A Systematic Literature Review

Eoan O'Dea, Roberta Capuano, Paris Avgeriou +1

Context. Microservice architectures are widely adopted for building scalable cloud-native systems, enabling independent deployment, fine-grained service composition, and operationa…

cs.SE2026

Towards Automated Identification of Violation Symptoms of Architecture Erosion

Ruiyin Li, Peng Liang, Paris Avgeriou +1

Architecture erosion harms software maintenance when implementation deviates from intended architecture. Early detection of violation symptoms is essential, and code review comment…

cs.SE2026

What Characterizes Pairwise Modular Smells?

Chenxing Zhong, Daniel Feitosa, Paris Avgeriou +3

Enhancing the modular structure of existing systems has attracted substantial research interest, primarily through (1) software modularization and (2) identifying design issues (e.…

cs.SE20261 cited

Text Tells the Cost: Predicting and Analyzing Repayment Effort of Self-Admitted Technical Debt

Yikun Li, Mohamed Soliman, Paris Avgeriou +2

Technical debt refers to the consequences of sub-optimal decisions made during software development that prioritize short-term benefits over long-term maintainability. Self-Admitte…

cs.SE2026

Investigating CI/CD-based Technical Debt Management in Open-source Projects

João Paulo Biazotto, Daniel Feitosa, Paris Avgeriou +1

Managing technical debt (TD) is critical to ensure the sustainability of long-term software projects. However, the time and cost involved in technical debt management (TDM) often d…

cs.SE2025

Methodological Considerations for Self-adaptive Systems: An Essay

Sara Mahdavi Hezavehi, Danny Weyns, Paris Avgeriou

In this essay, we provide an overview of methodological considerations necessary to lay out the foundation for our PhD research on uncertainty and risk-aware adaptation.