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Extreme Requirements Engineering (XRE)

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Requirements Engineering in the Big Data Era

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 558))

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Abstract

The importance of requirements engineering process in success or failure of software projects has tempted the organizations to improve their RE processes. In our previous study, we assessed the relative perceived values of RE practices by conducting a global survey of practitioners. The survey revealed six RE practices that were perceived as having high values by RE experts worldwide. These practices were related to stakeholder’s consultation, requirements specification, and requirements management. In this paper, we are presenting an RE approach Extreme Requirements Engineering (XRE) which is based on these valuable RE practices and feedback from the practitioners on the role of customer representative. XRE complements the existing agile methods, Scrum and XP (eXtreme Programming) with six guidelines for agile teams. These guidelines ensure the extreme use of the valuable RE practices. The XRE can be helpful for practitioners to overcome many challenges faced by RE in agile.

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Author information

Authors and Affiliations

  1. Riphah International University, Sector I-14, Islamabad, Pakistan

    Naveed Ikram

  2. International Islamic University, Sector H-10, Islamabad, Pakistan

    Sonia Naz

Authors
  1. Naveed Ikram
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  2. Sonia Naz
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Corresponding author

Correspondence to Naveed Ikram .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Lin Liu

  2. Dept, of Software Engineering, Nanzan University, Nagoya, Japan

    Mikio Aoyama

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Ikram, N., Naz, S. (2015). Extreme Requirements Engineering (XRE). In: Liu, L., Aoyama, M. (eds) Requirements Engineering in the Big Data Era. Communications in Computer and Information Science, vol 558. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48634-4_7

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  • DOI: https://doi.org/10.1007/978-3-662-48634-4_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48633-7

  • Online ISBN: 978-3-662-48634-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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