A systematic mapping study of 248 papers introduces a taxonomy of synergistic effects, inter-analysis workflows, and mapping functions to catalog patterns in combined program analysis techniques.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 2
citation-polarity summary
fields
cs.SE 3years
2026 3verdicts
UNVERDICTED 3roles
background 2polarities
background 2representative citing papers
QuanForge introduces statistical mutation killing and nine post-training mutation operators for QNNs to distinguish test suites and localize vulnerable circuit regions.
A case study of software redesign reveals reuse challenges and shows that semantic alignment heuristics with hierarchical clone detection reduce irrelevant clones by 33-99% and raise precision to 86%.
citing papers explorer
-
Combined Program Analysis Techniques: A Systematic Mapping Study
A systematic mapping study of 248 papers introduces a taxonomy of synergistic effects, inter-analysis workflows, and mapping functions to catalog patterns in combined program analysis techniques.
-
QuanForge: A Mutation Testing Framework for Quantum Neural Networks
QuanForge introduces statistical mutation killing and nine post-training mutation operators for QNNs to distinguish test suites and localize vulnerable circuit regions.
-
Investigating Code Reuse in Software Redesign: A Case Study
A case study of software redesign reveals reuse challenges and shows that semantic alignment heuristics with hierarchical clone detection reduce irrelevant clones by 33-99% and raise precision to 86%.