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  <titleInfo>
    <title>Search-Based Software Engineering</title>
    <subTitle>16th International Symposium, SSBSE 2024, Porto de Galinhas, Brazil, July 15, 2024, Proceedings</subTitle>
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    <namePart>Jahangirova, Gunel.</namePart>
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    <namePart>Khomh, Foutse.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>XI, 85 p. 18 illus., 12 illus. in color. online resource.</extent>
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  <abstract>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. .</abstract>
  <tableOfContents>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.</tableOfContents>
  <note type="statement of responsibility">edited by Gunel Jahangirova, Foutse Khomh.</note>
  <subject authority="lcsh">
    <topic>Software engineering</topic>
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  <subject authority="lcsh">
    <topic>Operating systems (Computers)</topic>
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  <subject authority="lcsh">
    <topic>Computer networks </topic>
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    <topic>Computer science</topic>
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    <topic>Operating Systems</topic>
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  <subject>
    <topic>Computer Communication Networks</topic>
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  <subject>
    <topic>Theory of Computation</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
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      <title>Lecture Notes in Computer Science, 14767</title>
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  <identifier type="isbn">9783031645730</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-64573-0</identifier>
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