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The impact of domain knowledge on the effectiveness of requirements engineering activities

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Notes

  1. Although a person could be a man or woman, we have assumed any nonspecific person is a man throughout the body of this paper.

  2. In a Unicode-compliant BDWP, knowing the time-ordered, logically-ordered internal representation of the currently displayed visually-ordered text helps the user predict the effect of any editing change enacted on the displayed view, particularly since the internal representation may have so-called zero-width control characters that are invisible in the visual-order view.

  3. Factors the statistical analyses.

  4. Also called “principal axis factoring” or “common factor analysis”.

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Acknowledgments

The authors thank the anonymous reviewers of the earlier version of this paper for their comments. Ali Niknafs’s and Daniel Berry’s work were supported in parts by Canada’s NSERC grant NSERC-RGPIN227055-00 and by Canada’s NSERC–Scotia Bank Industrial Research Chair NSERC-IRCPJ365473-05.

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  1. David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada

    Ali Niknafs & Daniel Berry

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  1. Ali Niknafs
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Correspondence to Daniel Berry.

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Communicated by: Daniel Amyot

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Niknafs, A., Berry, D. The impact of domain knowledge on the effectiveness of requirements engineering activities. Empir Software Eng 22, 80–133 (2017). https://doi.org/10.1007/s10664-015-9416-2

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