Custom cover image
Custom cover image

Search-Based Software Engineering : 16th International Symposium, SSBSE 2024, Porto de Galinhas, Brazil, July 15, 2024, Proceedings / edited by Gunel Jahangirova, Foutse Khomh

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Computer Science ; 14767Publisher: Cham : Springer Nature Switzerland, 2024Publisher: Cham : Imprint: Springer, 2024Edition: 1st ed. 2024Description: 1 Online-Ressource(XI, 85 p. 18 illus., 12 illus. in color.)ISBN:
  • 9783031645730
Subject(s): Additional physical formats: 9783031645723 | 9783031645747 | Erscheint auch als: 9783031645723 Druck-Ausgabe | Erscheint auch als: 9783031645747 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-64573-0Online resources: Summary: Evolutionary Analysis of Alloy Specifications with an Adaptive Fitness Function -- Higher Fault Detection Through Novel Density Estimators in Unit Test Generation -- Many Independent Objective Estimation of Distribution Search for Android Testing -- SSBSE Summary of Adaptive Search based Repair of Deep Neural Networks -- SSBSE Summary of EvoCLINICAL Evolving Cyber cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System -- Iterative Refactoring of Real World Open Source Programs with Large Language Models -- Approximating Stochastic Quantum Noise through Genetic Programming -- Fuzzing Based Differential Testing For Quantum Simulators -- GreenStableYolo Optimizing Inference Time and Image Quality of Text to Image Generation -- Danger is My Middle Lane Simulations From Real World Dangerous Roads.Summary: This book constitutes the refereed proceedings of the 16th International Symposium on Search-Based Software Engineering, SSBSE 2024, held in Porto de Galinhas, Brazil, during July 2024. The 8 papers included in these proceedings were carefully reviewed and selected from 19 submissions. The papers deal with various aspects and applications of search-based software engineering, focusing on engineering challenges and the application of automated approaches and optimization techniques from AI and machine learning research. .PPN: PPN: 1894777247Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC
No physical items for this record
KIT – The Research University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT