Arcaini / Fredericks / Yue | Search-Based Software Engineering | Buch | 978-3-031-48795-8 | sack.de

Buch, Englisch, 167 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 295 g

Reihe: Lecture Notes in Computer Science

Arcaini / Fredericks / Yue

Search-Based Software Engineering

15th International Symposium, SSBSE 2023, San Francisco, CA, USA, December 8, 2023, Proceedings
1. Auflage 2024
ISBN: 978-3-031-48795-8
Verlag: Springer Nature Switzerland

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

Buch, Englisch, 167 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 295 g

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-031-48795-8
Verlag: Springer Nature Switzerland


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.

Arcaini / Fredericks / Yue Search-Based Software Engineering jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


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.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.