Supporting Agile Software Development by Natural Language Processing

  • Barbara Plank
  • Thomas Sauer
  • Ina Schaefer
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 379)


Agile software development puts more emphasis on working programs than on documentation. However, this may cause complications from the management perspective when an overview of the progress achieved within a project needs to be provided. In this paper, we outline the potential for applying natural language processing (NLP) in order to support agile development. We point out that using NLP, the artifacts created during agile software development activities can be traced back to the requirements expressed in user stories. This allows determining how far the project has progressed in terms of realized requirements.


Agile Software Development Project Management Machine Learning Natural Language Processing 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Barbara Plank
    • 1
  • Thomas Sauer
    • 2
  • Ina Schaefer
    • 3
  1. 1.University of TrentoItaly
  2. 2.rjm business solutions GmbHLampertheimGermany
  3. 3.Technische Universität BraunschweigGermany

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