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Knowledge-Based Software Engineering

11th Joint Conference, JCKBSE 2014, Volgograd, Russia, September 17-20, 2014. Proceedings

  • Conference proceedings
  • © 2014

Overview

Part of the book series: Communications in Computer and Information Science (CCIS, volume 466)

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Conference proceedings info: JCKBSE 2014.

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Table of contents (64 papers)

  1. Methodology and Tools for Knowledge Discovery and Data Mining

  2. Methods and Tools for Software Engineering Education

  3. Knowledge Technologies for Semantic Web and Ontology Engineering

Other volumes

  1. Knowledge-Based Software Engineering

Keywords

About this book

This book constitutes the refereed proceedings of the 11th Joint Conference on Knowledge-Based Software-Engineering, JCKBSE 2014, held in Volgograd, Russia, in September 2014. The 59 full and 3 short papers presented were carefully reviewed and selected from 197 submissions. The papers are organized in topical sections on methodology and tools for knowledge discovery and data mining; methods and tools for software engineering education; knowledge technologies for semantic web and ontology engineering; knowledge-based methods and tools for testing, verification and validation, maintenance and evolution; natural language processing, image analysis and recognition; knowledge-based methods and applications in information security, robotics and navigation; decision support methods for software engineering; architecture of knowledge-based systems, including intelligent agents and softbots; automating software design and synthesis; knowledge management for business processes, workflows and enterprise modeling; knowledge-based methods and applications in bioscience, medicine and justice; knowledge-based requirements engineering, domain analysis and modeling; intelligent user interfaces and human-machine interaction; lean software engineering; program understanding, programming knowledge, modeling programs and programmers.

Editors and Affiliations

  • Volgograd State Technical University, Volgograd, Russia

    Alla Kravets, Maxim Shcherbakov, Marina Kultsova

  • Department of Administration Engineering, Keio University, Yokohama-shi, Japan

    Tadashi Iijima

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