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Search-Based Software Engineering: 10th International Symposium, SSBSE 2018, Montpellier, France, September 8-9, 2018, Proceedings 2018 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 393 pages, height x width: 235x155 mm, weight: 629 g, 88 Illustrations, black and white; XV, 393 p. 88 illus., 1 Paperback / softback
  • Sērija : Programming and Software Engineering 11036
  • Izdošanas datums: 22-Aug-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319992406
  • ISBN-13: 9783319992402
  • Mīkstie vāki
  • Cena: 61,19 €*
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  • Formāts: Paperback / softback, 393 pages, height x width: 235x155 mm, weight: 629 g, 88 Illustrations, black and white; XV, 393 p. 88 illus., 1 Paperback / softback
  • Sērija : Programming and Software Engineering 11036
  • Izdošanas datums: 22-Aug-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319992406
  • ISBN-13: 9783319992402
This book constitutes the refereed proceedings of the 10th International Symposium on Search-Based Software Engineering, SSBSE 2018, held in Montpellier, France, in September 2018.





The 12 full papers and 7 short papers presented together with 3 keynotes, 2 tutorials, and 1 anniversary paper were carefully reviewed and selected from 21 submissions. SSBSE welcomes not only applications from throughout the software engineering lifecycle but also a broad range of search methods ranging from exact Operational Research techniques to nature-inspired algorithms and simulated annealing.

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.
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.