| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Search-based software engineering/ edited by Paolo Arcaini, Tao Yue, Erik M. Fredericks. |
| Reminder of title: |
15th International Symposium, SSBSE 2023, San Francisco, CA, USA, December 8, 2023 : proceedings / |
| remainder title: |
SSBSE 2023 |
| other author: |
Arcaini, Paolo. |
| corporate name: |
SSBSE (Symposium) |
| Published: |
Cham :Springer Nature Switzerland : : 2024., |
| Description: |
xx, 167 p. :ill. (chiefly col.), digital ;24 cm. |
| [NT 15003449]: |
Research Track -- Generating Android Tests using Novelty Search -- Expound: A Black-box Approach for Generating Diversity-Driven Adversarial Examples -- Developer Views on Software Carbon Footprint and its Potential for Automated Reduction -- Search-Based Mock Generation of External Web Service Interactions -- Exploring Genetic Improvement of the Carbon Footprint of Web Pages -- A Novel Mutation Operator for Search-based Test Case Selection -- Challenge Track -- StableYolo: Optimizing Image Generation for Large Language Models -- Improving the Readability of Generated Tests Using GPT-4 and ChatGPT Code Interpreter -- Evaluating Explanations for Software Patches Generated by Large Language Models -- Enhancing Genetic Improvement Mutations Using Large Language Models -- SearchGEM5: Towards Reliable gem5 with Search Based Software Testing and Large Language Models -- RENE/NIER Track -- Multi-Objective Black-box Test Case Prioritization based on WordNet Distances -- On the Impact of Tool Evolution and Case Study Size on SBSE Experiments: A Replicated Study with EvoMaster -- Search-based Optimisation of LLM Learning Shots for Story Point Estimation. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Software engineering - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-48796-5 |
| ISBN: |
9783031487965 |