Search-Based Software Engineering
Springer International Publishing (Verlag)
978-3-031-48795-8 (ISBN)
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.
Erscheinungsdatum | 08.12.2023 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | XX, 167 p. 37 illus., 31 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 296 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
Schlagworte | Architecting • Artificial Intelligence • computer programming • Computer systems • Education • evolutionaly algorithms • Genetic algorithms • machine learning • mathemtaics • search-based software engineering • Signal Processing • Software • software architecture • Software Design • Software engineering • Test Case Generation |
ISBN-10 | 3-031-48795-8 / 3031487958 |
ISBN-13 | 978-3-031-48795-8 / 9783031487958 |
Zustand | Neuware |
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