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04753nam a2200565 4500 |
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978-3-319-99241-9 |
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20191026082319.0 |
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180821s2018 gw | s |||| 0|eng d |
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|a 9783319992419
|9 978-3-319-99241-9
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|a 10.1007/978-3-319-99241-9
|2 doi
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|d GrThAP
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|a QA76.758
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|a UMZ
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|a Search-Based Software Engineering
|h [electronic resource] :
|b 10th International Symposium, SSBSE 2018, Montpellier, France, September 8-9, 2018, Proceedings /
|c edited by Thelma Elita Colanzi, Phil McMinn.
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|a 1st ed. 2018.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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|a XV, 393 p. 88 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
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|a Programming and Software Engineering ;
|v 11036
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|a Deploying Search Based Software Engineering with Sapienz at Facebook -- Evolving Living Technologies - Insights from the EvoEvo Project -- Ultra-Large Repair Search Space with Automatically Mined Templates: The Cardumen Mode of Astor -- How Can Metaheuristics Help Software Engineers? -- A Tutorial on Using and Extending the EvoSuite Search-Based Test Generator -- A Preliminary Systematic Mapping Study of Human Competitiveness of SBSE -- Search-Based Stress Testing the Elastic Resource Provisioning for Cloud-Based Applications -- Injecting Social Diversity in Multi-Objective Genetic Programming: The Case of Model Well-formedness Rule Learning -- Automated Optimization of Weighted Non-Functional Objectives in Self-Adaptive Systems -- Comparison of Search-Based Algorithms for Stress-Testing Integrated Circuits -- Damage Reduction Via White-box Failure Shaping -- Automated Co-Evolution of Metamodels and Transformation Rules: A Search-Based Approach -- Learning Without Peeking: Secure Multi-Party Computation Genetic Programming -- Towards Minimizing the Impact of Changes Using Search-Based Approach -- Exploring Evolutionary Search Strategies to Improve Applications' Energy Efficiency -- Optimization Experiments in the Continuous Space The Limited Growth Optimistic Optimization Algorithm -- Incremental Control Dependency Frontier Exploration for Many-Criteria Test Case Generation -- Single-objective Versus Multi-Objectivized Optimization for Evolutionary Crash Reproduction -- A New Approach for Search Space Reduction and Seeding by Analysis of the Clauses -- Learning Fault Localization for Both Humans and Machines Using Multi-Objective GP -- Mapping Class Dependencies for Fun and Profit -- Evolving Better Software Parameters -- On the Placebo Effect in Interactive SBSE: A Preliminary Study -- EvoIsolator: Evolving Program Slices for Hardware Isolation Based Security -- Detecting Real Faults in the Gson Library Through Search-Based Unit Test Generation.
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|a Chapter "Deploying Search Based Software Engineering with Sapienz at Facebook" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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|a Software engineering.
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|a Artificial intelligence.
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|a Operating systems (Computers).
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|a Algorithms.
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|a Computer hardware.
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|a Software Engineering.
|0 http://scigraph.springernature.com/things/product-market-codes/I14029
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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|a Operating Systems.
|0 http://scigraph.springernature.com/things/product-market-codes/I14045
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|a Algorithm Analysis and Problem Complexity.
|0 http://scigraph.springernature.com/things/product-market-codes/I16021
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|a Computer Hardware.
|0 http://scigraph.springernature.com/things/product-market-codes/I1200X
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|a Colanzi, Thelma Elita.
|e editor.
|0 (orcid)0000-0001-9761-1999
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|a McMinn, Phil.
|e editor.
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|i Printed edition:
|z 9783319992402
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|i Printed edition:
|z 9783319992426
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|a Programming and Software Engineering ;
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|u https://doi.org/10.1007/978-3-319-99241-9
|z Full Text via HEAL-Link
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