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Search-Based Software Engineering = ...
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McMinn, Phil.
Search-Based Software Engineering = 10th International Symposium, SSBSE 2018, Montpellier, France, September 8-9, 2018, Proceedings /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Search-Based Software Engineering/ edited by Thelma Elita Colanzi, Phil McMinn.
其他題名:
10th International Symposium, SSBSE 2018, Montpellier, France, September 8-9, 2018, Proceedings /
其他作者:
Colanzi, Thelma Elita.
面頁冊數:
XV, 393 p. 88 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Software Engineering. -
電子資源:
https://doi.org/10.1007/978-3-319-99241-9
ISBN:
9783319992419
Search-Based Software Engineering = 10th International Symposium, SSBSE 2018, Montpellier, France, September 8-9, 2018, Proceedings /
Search-Based Software Engineering
10th International Symposium, SSBSE 2018, Montpellier, France, September 8-9, 2018, Proceedings /[electronic resource] :edited by Thelma Elita Colanzi, Phil McMinn. - 1st ed. 2018. - XV, 393 p. 88 illus.online resource. - Programming and Software Engineering ;11036. - Programming and Software Engineering ;8987.
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.
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.
ISBN: 9783319992419
Standard No.: 10.1007/978-3-319-99241-9doiSubjects--Topical Terms:
669632
Software Engineering.
LC Class. No.: QA76.758
Dewey Class. No.: 005.1
Search-Based Software Engineering = 10th International Symposium, SSBSE 2018, Montpellier, France, September 8-9, 2018, Proceedings /
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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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