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Search-Based Software Engineering

15th International Symposium, SSBSE 2023, San Francisco, CA, USA, December 8, 2023, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Paolo Arcaini

    1. National Institute of Informatics, Tokyo, Japan

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    You can also search for this editor in PubMed   Google Scholar

  2. Tao Yue

    1. Beihang University, Beijing, China

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  3. Erik M. Fredericks

    1. Grand Valley State University, Allendale, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14415)

Included in the following conference series:

Conference proceedings info: SSBSE 2023.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-xx
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  2. Research Track

    1. Front Matter

      Pages 1-1
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    2. Generating Android Tests Using Novelty Search

      • Michael Auer, Michael Pusl, Gordon Fraser
      Pages 3-18

    3. Expound: A Black-Box Approach for Generating Diversity-Driven Adversarial Examples

      • Kenneth H. Chan, Betty H. C. Cheng
      Pages 19-34

    4. Developer Views on Software Carbon Footprint and Its Potential for Automated Reduction

      • Haozhou Lyu, Gregory Gay, Maiko Sakamoto
      Pages 35-51

    5. Search-Based Mock Generation of External Web Service Interactions

      • Susruthan Seran, Man Zhang, Andrea Arcuri
      Pages 52-66

    6. Exploring Genetic Improvement of the Carbon Footprint of Web Pages

      • Haozhou Lyu, Gregory Gay, Maiko Sakamoto
      Pages 67-83

    7. A Novel Mutation Operator for Search-Based Test Case Selection

      • Aitor Arrieta, Miren Illarramendi
      Pages 84-98

  3. RENE/NIER Track

    1. Front Matter

      Pages 99-99
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    2. Multi-objective Black-Box Test Case Prioritization Based on Wordnet Distances

      • Imara van Dinten, Andy Zaidman, Annibale Panichella
      Pages 101-107

    3. On the Impact of Tool Evolution and Case Study Size on SBSE Experiments: A Replicated Study with EvoMaster

      • Amid Golmohammadi, Man Zhang, Andrea Arcuri
      Pages 108-122

    4. Search-Based Optimisation of LLM Learning Shots for Story Point Estimation

      • Vali Tawosi, Salwa Alamir, Xiaomo Liu
      Pages 123-129

  4. Challenge Track

    1. Front Matter

      Pages 131-131
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    2. StableYolo: Optimizing Image Generation for Large Language Models

      • Harel Berger, Aidan Dakhama, Zishuo Ding, Karine Even-Mendoza, David Kelly, Hector Menendez et al.
      Pages 133-139

    3. Improving the Readability of Generated Tests Using GPT-4 and ChatGPT Code Interpreter

      • Gregory Gay
      Pages 140-146

    4. Evaluating Explanations for Software Patches Generated by Large Language Models

      • Dominik Sobania, Alina Geiger, James Callan, Alexander Brownlee, Carol Hanna, Rebecca Moussa et al.
      Pages 147-152

    5. Enhancing Genetic Improvement Mutations Using Large Language Models

      • Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke et al.
      Pages 153-159

    6. SearchGEM5: Towards Reliable Gem5 with Search Based Software Testing and Large Language Models

      • Aidan Dakhama, Karine Even-Mendoza, W.B. Langdon, Hector Menendez, Justyna Petke
      Pages 160-166

  5. Back Matter

    Pages 167-167
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  1. Search-Based Software Engineering

Keywords

About this book

This book constitutes the refereed proceedings of the 15th International Symposium on Search-Based Software Engineering, SSBSE 2023, which took place in San Francisco, CA, USA, during December 8, 2023.The 7 full and 7 short papers included in this book were carefully reviewed and selected from 23 submissions. They focus on formulating various optimization problems in software engineering as search problems, addressing them with search techniques, intending to automate complex software engineering tasks. 

Editors and Affiliations

  • National Institute of Informatics, Tokyo, Japan

    Paolo Arcaini

  • Beihang University, Beijing, China

    Tao Yue

  • Grand Valley State University, Allendale, USA

    Erik M. Fredericks

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