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Dynamosa Algorithm #1399
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Dynamosa Algorithm #1399
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@francastagna unfortunately due to sickness, had to skip some work this week. and now rest of the week i ll be fully in meetings. i doubt i ll have any time to look at this PR this week. |
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PR Summary
We implemented the DynaMOSA many‑objective search algorithm, wired it into EvoMaster core, and added a graph‑based instrumentation pipeline that builds control dependence graphs (CDGs) and exposes them to the algorithm via a lightweight DTO and remote protocol.
Pseudocode:
Source:
https://www.researchgate.net/publication/313164878_Automated_Test_Case_Generation_as_a_Many-Objective_Optimisation_Problem_with_Dynamic_Selection_of_the_TargetsMain Changes
New DynaMOSA algorithm (
DynaMosaAlgorithm)Branch dependency graph and multi‑criteria manager
BranchDependencyGraphbuilds a lightweight DAG of branch objectives fromControlDependenceGraphDto(roots, children, and all objectives).MulticriteriaManagerkeeps track of covered/uncovered branch targets and computes the current focus set by combining CDG roots with uncovered children; falls back to all uncovered targets when needed.Instrumentation: CFG/CDG construction and export
EvoMasterGraph, CFG and CDG classes,GraphPool) that computes per‑method CDGs from bytecode.ControlDependenceGraphDto(objectives, root ids, edges) as the minimal, serialized view of a CDG sent from the agent to core.DynamosaConfigflags and controller hooks (InstrumentationController,AgentController) to enable/disable graph construction and to stream CDG snapshots incrementally.Core / driver wiring
EMConfigandMainsoAlgorithm.DYNAMOSAis available and correctly instantiated for REST, GraphQL, RPC, and web‑frontend problems.ControlDependenceGraphDtoobjects used to maintain the branch dependency graph in core.