Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2010

1. Front Matter

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2. Shape Decomposition for Graph Representation

   • Cai Luyuan, Zhao Meng, Liu Shang, Mao Xiaoyan, Bai Xiao

   Pages 1-10

3. Improving Accuracy of an Artificial Neural Network Model to Predict Effort and Errors in Embedded Software Development Projects

   • Kazunori Iwata, Toyoshiro Nakashima, Yoshiyuki Anan, Naohiro Ishii

   Pages 11-21

4. From Textual Use-Cases to Component-Based Applications

   • Viliam Šimko, Petr Hnětynka, Tomáš Bureš

   Pages 23-37

5. COID: Maintaining Case Method Based on Clustering, Outliers and Internal Detection

   • Abir Smiti, Zied Elouedi

   Pages 39-52

6. Congestion and Network Density Adaptive Broadcasting in Mobile Ad Hoc Networks

   • Shagufta Henna, Thomas Erlebach

   Pages 53-67

7. Design and Performance Evaluation of a Machine Learning-Based Method for Intrusion Detection

   • Qinglei Zhang, Gongzhu Hu, Wenying Feng

   Pages 69-83

8. Evolution of Competing Strategies in a Threshold Model for Task Allocation

   • Harry Goldingay, Jort van Mourik

   Pages 85-98

9. Efficient Mining of High Utility Patterns over Data Streams with a Sliding Window Method

   • Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer, Byeong-Soo Jeong

   Pages 99-113

10. Resolving Sluices in Urdu

    • Mohammad Abid Khan, Alamgir Khan, Mushtaq Ali

    Pages 115-126

11. Context Sensitive Gestures

    • Daniel Demski, Roger Lee

    Pages 127-137

12. A Recommendation Framework for Mobile Phones Based on Social Network Data

    • Alper Ozcan, Sule Gunduz Oguducu

    Pages 139-149

13. Language Modeling for Medical Article Indexing

    • Jihen Majdoubi, Mohamed Tmar, Faiez Gargouri

    Pages 151-161

14. Back Matter

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th The purpose of the 11 Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2010) held on June 9 – 11, 2010 in London, United Kingdom was to bring together researchers and scientists, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. Our conference officers selected the best 15 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. In Chapter 1, Cai Luyuan et al. Present a new method of shape decomposition based on a refined morphological shape decomposition process. In Chapter 2, Kazunori Iwata et al. propose a method for reducing the margin of error in effort and error prediction models for embedded software development projects using artificial neural networks (ANNs). In Chapter 3, Viliam Šimko et al. describe a model-driven tool that allows system code to be generated from use-cases in plain English. In Chapter 4, Abir Smiti and Zied Elouedi propose a Case Base Maintenance (CBM) method that uses machine learning techniques to preserve the maximum competence of a system. In Chapter 5, Shagufta Henna and Thomas Erlebach provide a simulation based analysis of some widely used broadcasting schemes within mobile ad hoc networks (MANETs) and propose adaptive extensions to an existing broadcasting algorithm.

• artificial intelligence
• computational intelligence
• computer
• design
• development
• distributed computing
• intelligence
• machine learning
• modeling
• network
• proving
• science
• software
• software development
• software engineering

• Software Engineering & Information Technology Institute, Computer Science Department, Central Michigan University, Mt. Pleasant, U.S.A.

  Roger Lee

• The University of Greenwich, London, UK

  Jixin Ma, Liz Bacon, Miltos Petridis

• Hainan University, Hainan, China

  Wencai Du

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