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A Metrics Model to Measure the Impact of an Agile Transformation in Large Software Development Organizations

Jeanette Heidenberg, Max Weijola, Kirsi Mikkonen, Ivan Porres, A Metrics Model to Measure the Impact of an Agile Transformation in Large Software Development Organizations. In: Hubert Baumeister, Barbara Weber (Eds.), Agile Processes in Software Engineering and Extreme Programming, Lecture Notes in Business Information Processing 149, 165–179, Springer Heidelberg, 2013.

http://dx.doi.org/10.1007/978-3-642-38314-4_12

Abstract:

Abstract. As the adoption of agile and lean methods continues to grow, measuring the effects of such a transformation can be valuable but chal- lenging due to the many variables influencing the outcome of a software project. In this paper we present a metrics model developed for measuring the effects of an agile and lean transformation on software development organizations. The model was developed iteratively in cooperation with industry partners within the Cloud Software Finland research project. The resulting metrics model is applicable to projects of any size, com- plexity and scope, using metrics that support agile and lean values. The model can be used to measure both past and ongoing projects, regardless of whether the process model used is plan driven or agile. In order to evaluate the metrics model, the proposed model has been piloted in an industry setting.

BibTeX entry:

@INPROCEEDINGS{inpHeWeMiPo13a,
  title = {A Metrics Model to Measure the Impact of an Agile Transformation in Large Software Development Organizations},
  booktitle = {Agile Processes in Software Engineering and Extreme Programming},
  author = {Heidenberg, Jeanette and Weijola, Max and Mikkonen, Kirsi and Porres, Ivan},
  volume = {149},
  series = {Lecture Notes in Business Information Processing},
  editor = {Baumeister, Hubert and Weber, Barbara},
  publisher = {Springer Heidelberg},
  pages = {165–179},
  year = {2013},
  keywords = {Metrics, Measurements, SPI, Transformation, Lean, Agile},
}

Belongs to TUCS Research Unit(s): Software Engineering Laboratory (SE Lab)

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