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020 _a9783319992419
_9978-3-319-99241-9
024 7 _a10.1007/978-3-319-99241-9
_2doi
050 4 _aQA76.758
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_2bicssc
072 7 _aCOM051230
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072 7 _aUMZ
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082 0 4 _a005.1
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245 1 0 _aSearch-Based Software Engineering
_h[electronic resource] :
_b10th International Symposium, SSBSE 2018, Montpellier, France, September 8-9, 2018, Proceedings /
_cedited by Thelma Elita Colanzi, Phil McMinn.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXV, 393 p. 88 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aProgramming and Software Engineering,
_x2945-9168 ;
_v11036
505 0 _aDeploying 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.
520 _aChapter "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.
650 0 _aSoftware engineering.
_94138
650 0 _aArtificial intelligence.
_93407
650 0 _aOperating systems (Computers).
_95329
650 0 _aAlgorithms.
_93390
650 0 _aComputers.
_98172
650 1 4 _aSoftware Engineering.
_94138
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aOperating Systems.
_937074
650 2 4 _aAlgorithms.
_93390
650 2 4 _aComputer Hardware.
_933420
700 1 _aColanzi, Thelma Elita.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_986258
700 1 _aMcMinn, Phil.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_986260
710 2 _aSpringerLink (Online service)
_986262
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319992402
776 0 8 _iPrinted edition:
_z9783319992426
830 0 _aProgramming and Software Engineering,
_x2945-9168 ;
_v11036
_986264
856 4 0 _uhttps://doi.org/10.1007/978-3-319-99241-9
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