Future Intelligent Vehicular Technologies. First International Conference, Future 5V 2016, Porto, Portugal, September 15, 2016, Revised Selected Papers

Research Article

Cloud Computing Development Life Cycle Model (CCDLC)

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  • @INPROCEEDINGS{10.1007/978-3-319-51207-5_19,
        author={Muhammad Babar and Ata Rahman and Fahim Arif},
        title={Cloud Computing Development Life Cycle Model (CCDLC)},
        proceedings={Future Intelligent Vehicular Technologies. First International Conference, Future 5V 2016, Porto, Portugal, September 15, 2016, Revised Selected Papers},
        proceedings_a={FUTURE 5V},
        year={2017},
        month={1},
        keywords={Cloud computing Software engineering Life cycle model Process model},
        doi={10.1007/978-3-319-51207-5_19}
    }
    
  • Muhammad Babar
    Ata Rahman
    Fahim Arif
    Year: 2017
    Cloud Computing Development Life Cycle Model (CCDLC)
    FUTURE 5V
    Springer
    DOI: 10.1007/978-3-319-51207-5_19
Muhammad Babar1,*, Ata Rahman1,*, Fahim Arif1,*
  • 1: National University of Sciences and Technology
*Contact email: babarkhan66@gmail.com, atabcs_87@yahoo.com, fahim@mcs.edu.pk

Abstract

Cloud Computing is getting reputation as the standard approach for designing and organizing software applications over the internet, especially for distributed and e-commerce applications. In recent times, Cloud Computing has emerged as a new opportunity that how software and other resources can be provided to the consumers as a service. However, applying the existing traditional software engineering life cycle models to cloud computing, we identify some inadequacies like they do not concentrate on engineering activities, they lack the fundamental description of cloud services using traditional requirement engineering process, they do not deal with proper modeling, and they suffer from good development and testing processes. We propose a cloud computing life cycle model (CCDLC) for development of cloud to deal with the mentioned deficiencies faced in the existing traditional life cycle models.