Abstract
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.
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Plank, B., Sauer, T., Schaefer, I. (2013). Supporting Agile Software Development by Natural Language Processing. In: Moschitti, A., Plank, B. (eds) Trustworthy Eternal Systems via Evolving Software, Data and Knowledge. EternalS 2012. Communications in Computer and Information Science, vol 379. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45260-4_7
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DOI: https://doi.org/10.1007/978-3-642-45260-4_7
Publisher Name: Springer, Berlin, Heidelberg
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