Del 0 - Lecture Notes in Computer Science

Search-Based Software Engineering

Nyhet

17th International Symposium, SSBSE 2025, Seoul, South Korea, November 16, 2025, Proceedings

Häftad, Engelska, 2026

AvMarkus Wagner,Man Zhang

1 029 kr

Kommande

This book constitutes the refereed proceedings of the 17th International Symposium on Search-Based Software Engineering, SSBSE 2025, held in Seoul, South Korea, on November 16, 2025.The 8 full papers, 4 short papers and 2 other papers included in these proceedings were carefully reviewed and selected from 24 submissions. They were organized in the following topical sections: Research Track; RENE/NIER Track; and Challenge Track.

Produktinformation

Utgivningsdatum2026-05-28
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor159
FörlagSpringer Nature Switzerland AG
ISBN9783032248381

Tillhör följande kategorier

Hårdvara inom Data och IT
Operativsystem inom Data och IT
Programvaruutveckling inom Data och IT
Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

.- Research Track.- Constraint-Guided Unit Test Generation for Machine Learning Libraries..- KrakQL: LLM-Guided Blind Introspection of GraphQL Schemas..- LLM-Guided Fuzzing for Pathological Input Generation..- Optimised fitness functions for automated improvement of software’s execution time..- Search-based Hyperparameter Tuning for Python Unit Test Generation..- Search-based Inference of Class Invariants: How far can Simulated Annealing take us?..- The Pursuit of Diversity: Multi-Objective Testing of Deep Reinforcement Learning Agents..- RENE/NIER Track..- Test Case Generation for Simulink Models: An Experience from the E-Bike Domain..- Challenge Track..- Fuzz Smarter, Not Harder: Towards Greener Fuzzing with GreenAFL..- GA4GC: Greener Agent for Greener Code via Multi-Objective Configuration Optimization..- GreenMalloc: Allocator Optimisation for Industrial Workloads..- HotCat: Green and Effective Feature Selection for HotFix Bug Taxonomy.