9 citations · 16 across the 9 of their papers we have counts for
4 papers · 1 filter
A First Look at the Lifecycle of DL-Specific Self-Admitted Technical Debt
Gilberto Recupito, Vincenzo De Martino, Dario Di Nucci +1
The rapid adoption of Deep Learning (DL)-enabled systems has revolutionized software development, driving innovation across various domains. However, these systems also introduce u…
Chaos Engineering in the Wild: Findings from GitHub
Joshua Owotogbe, Indika Kumara, Dario Di Nucci +2
Chaos Engineering (CE) enhances system resilience by deliberately injecting faults to uncover weaknesses before they cause outages. Despite the availability of many CE tools, littl…
Identifying and Replicating Code Patterns Driving Performance Regressions in Software Systems
Denivan Campos, Luana Martins, Emanuela Guglielmi +6
Context: Performance regressions negatively impact execution time and memory usage of software systems. Nevertheless, there is a lack of systematic methods to evaluate the effectiv…
How Do Solidity Versions Affect Vulnerability Detection Tools? An Empirical Study
Gerardo Iuliano, Davide Corradini, Michele Pasqua +2
Context: Smart contract vulnerabilities pose significant security risks for the Ethereum ecosystem, driving the development of automated tools for detection and mitigation. Smart c…