Accepted Papers

  • PERFORMANCE EVALUATION OF RANKING WEB DOCUMENTS USING SOCIAL MEDIA INFORMATION
    1A. Hashwa, 1N. El-Fishawy and 2S. Youssef ,1Menoufia University, Egypt and 2Arab Academy for Science and Technology,Egypt
    ABSTRACT
    Information retrieval is a critical issue for everyone’s life. Searching for information happens all the time. To better retrieve our needs from the web, it’s logical to leverage data generated by users via Web 2.0 (web of interaction). Users’ actions - like tagging a page, liking, sharing or other kinds of interaction – are used in this paper to better enhance information retrieval. The work presented in this paper used a dataset from Open Directory Project (ODP) to test the promising use of social services for better ranking of web results. We propose a framework to process social info and use it in the indexing and ranking processes. The proposed framework retrieves data from different kinds of social info (social bookmarking, social news, social network, discovery engines). Raw data is parsed into fields and significant values are either inserted into the index or used in the ranking process. Precision and recall as well as Mean Average Precision (MAP) are used to evaluate results. Results are promising for using social tagging services like Delicious. An initial assessment of the usage of other social services -like Facebook - reveals that their data are not good enough to improve ranking of webpages.
  • A SYSTEMS THINKING APPROACH TO EVALUATING THE BENEFITS OF AGILE TECHNIQUES
    Olumide Akerele,Leeds Beckett University,United Kingdom
    ABSTRACT
    Various reports have suggested that agile practices empirically improve the quality of software, as a result, reduce the amount of rework in software projects. On the other hand, agile practices incur time or personnel overhead, making it subject to managerial cost concerns. This study investigates the cost effectiveness of three popular agile practices: Test-Driven Development, pair programming and pair testing, using a developed system dynamics tool called the Predictive Continuous Delivery Model (PCDM).

 

Copyright ® SOFEA 2015