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020 _a9783031487965
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024 7 _a10.1007/978-3-031-48796-5
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072 7 _aCOM051230
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245 1 0 _aSearch-Based Software Engineering
_h[electronic resource] :
_b15th International Symposium, SSBSE 2023, San Francisco, CA, USA, December 8, 2023, Proceedings /
_cedited by Paolo Arcaini, Tao Yue, Erik M. Fredericks.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXX, 167 p. 37 illus., 31 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14415
505 0 _aResearch 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.
520 _aThis 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. .
650 0 _aSoftware engineering.
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650 0 _aOperating systems (Computers).
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650 0 _aComputer networks .
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650 0 _aComputer science.
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650 0 _aArtificial intelligence.
_958441
650 1 4 _aSoftware Engineering.
_933953
650 2 4 _aOperating Systems.
_965516
650 2 4 _aComputer Communication Networks.
_965689
650 2 4 _aTheory of Computation.
_967552
650 2 4 _aArtificial Intelligence.
_958441
700 1 _aArcaini, Paolo.
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700 1 _aYue, Tao.
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700 1 _aFredericks, Erik M.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Computer Science,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-48796-5
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