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Proceedings, 29th IEEE International Requirements Engineering Conference Workshops : REW 2021 : September 20-24 2021, online event / / editors, Tao Yue and Mehdi Mirakhorli
| Proceedings, 29th IEEE International Requirements Engineering Conference Workshops : REW 2021 : September 20-24 2021, online event / / editors, Tao Yue and Mehdi Mirakhorli |
| Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , [2021] |
| Descrizione fisica | 1 online resource (xv, 447 pages) : illustrations |
| Disciplina | 005.1 |
| Soggetto topico | Software engineering |
| ISBN | 1-66541-898-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 2021 IEEE 29th International Requirements Engineering Conference Workshops |
| Record Nr. | UNINA-9910554031303321 |
| Piscataway, NJ : , : IEEE, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings, 29th IEEE International Requirements Engineering Conference Workshops : REW 2021 : September 20-24 2021, online event / / editors, Tao Yue and Mehdi Mirakhorli
| Proceedings, 29th IEEE International Requirements Engineering Conference Workshops : REW 2021 : September 20-24 2021, online event / / editors, Tao Yue and Mehdi Mirakhorli |
| Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , [2021] |
| Descrizione fisica | 1 online resource (xv, 447 pages) : illustrations |
| Disciplina | 005.1 |
| Soggetto topico | Software engineering |
| ISBN | 1-66541-898-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 2021 IEEE 29th International Requirements Engineering Conference Workshops |
| Record Nr. | UNISA-996580848103316 |
| Piscataway, NJ : , : IEEE, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Search-Based Software Engineering : 15th International Symposium, SSBSE 2023, San Francisco, CA, USA, December 8, 2023, Proceedings / / edited by Paolo Arcaini, Tao Yue, Erik M. Fredericks
| Search-Based Software Engineering : 15th International Symposium, SSBSE 2023, San Francisco, CA, USA, December 8, 2023, Proceedings / / edited by Paolo Arcaini, Tao Yue, Erik M. Fredericks |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (180 pages) |
| Disciplina | 005.1 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Software engineering
Operating systems (Computers) Computer networks Computer science Artificial intelligence Software Engineering Operating Systems Computer Communication Networks Theory of Computation Artificial Intelligence |
| ISBN | 3-031-48796-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910768474903321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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