
This paper summarizes estimation knowledge through a review of surveys on software effort estimation. Main findings were that: (1) most projects (60-80%) encounter effort and/or schedule overruns. The overruns, however, seem to be lower than the overruns reported by some consultancy companies. For example, Standish Group's "Chaos Report" describes an average cost overrun of 89%, which is much higher than the average overruns found in other surveys, i.e. 3040%. (2) The estimation methods in most frequent use of expert judgment is that there is no evidence that formal estimation models lead to more accurate estimates. (3) There is a lack of surveys including extensive analyses of the reasons for effort and schedule overruns.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 130 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
