TitleTheory and Application of Reuse, Integration, and Data Science [electronic resource] / edited by Thouraya Bouabana-Tebibel, Lydia Bouzar-Benlabiod, Stuart H. Rubin
ImprintCham : Springer International Publishing : Imprint: Springer, 2019
Edition 1st ed. 2019
Connect tohttps://doi.org/10.1007/978-3-319-98056-0
Descript XI, 189 p. 76 illus. online resource

SUMMARY

This book presents recent research in the field of reuse and integration, and will help researchers and practitioners alike to understand how they can implement reuse in different stages of software development and in various domains, from robotics and security authentication to environmental issues. Indeed, reuse is not only confined to reusing code; it can be included in every software development step. The challenge today is more about adapting solutions from one language to another, or from one domain to another. The relative validation of the reused artifacts in their new environment is also necessary, at time even critical. The book includes high-quality research papers on these and many other aspects, written by experts in information reuse and integration, who cover the latest advances in the field. Their contributions are extended versions of the best papers presented at the IEEE International Conference on Information Reuse and Integration (IRI) and IEEE International Workshop on Formal Methods Integration (FMI), which were held in San Diego in August 2017


CONTENT

Improved Logical Passing Strategy and Gameplay Algorithm for Humanoid Soccer Robots using Colored Petri nets Kieutran -- Analyzing Cleaning Robots using Probabilistic Model Checking -- From Petri Nets to UML: A New Approach for Model Analysis -- Using Belief Propagation-based Proposal Preparation for Automated Negotiation over Environmental Issues -- SAIL: A Scalable Wind Turbine Fault Diagnosis Platform A Case Study on Gearbox Fault Diagnosis -- Efficient Authentication of Approximate Record Matching for Outsourced Databases -- Active Dependency Mapping A Data-Driven Approach to Mapping Dependencies in Distributed Systems


SUBJECT

  1. Engineering
  2. Artificial intelligence
  3. Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014
  4. Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000