A review of software surveys on software effort estimation

By Kjetil Moløkken, Magne Jørgensen. 2003 International Symposium on Empirical Software Engineering, 2003. ISESE 2003. Proceedings., 2003

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Easy over hard: a case study on deep learning (2017, background): “Researchers and industrial practitioners now routinely make extensive use of software analytics to discover (e.g.) how long it will take to integrate the new code [17], where bugs are most likely to occur [54], who should fix the bug [2], or how long it will take to develop this code [34, 35, 50].”
Quality Control and Due Diligence in Project Management: Getting Decisions Right by Taking the Outside View (2013, result): “These findings have been verified by other similar research (Arena et al., 2006; Dantata et al., 2006; Flyvbjerg and Stewart, 2012; Gardener and Moffat, 2008; Merrow, 2011; Moløkken and Jørgensen, 2003; Scott et al., 2011; Williams et al., 2009).”
A Systematic Review of Software Development Cost Estimation Studies (2007, background): “This general picture served as a starting point for deeper investigation of findings that seemed, from the authors’ perspectives, to suggest important shortcomings in estimation research and possibilities for improvement.2”