Anchoring and adjustment is a form of cognitive bias that affects judgments under uncertainty. If given an initial answer, the respondent seems to use this as an ‘anchor’, adjusting it to reach a more plausible answer, even if the anchor is obviously incorrect. The adjustment is frequently insufficient and so the final answer is biased. In this paper, we report a study to investigate the effects of this phenomenon on software estimation processes. The results show that anchoring and adjustment does occur in software estimation, and can significantly change the resulting estimates, no matter what estimation technique is used. The results also suggest that, considering the magnitude of this bias, software estimators tend to be too confident o...
An assimilation of an estimate towards a previously considered standard is defined as judgmental anc...
In this paper, we propose improvements in how estimation bias, e.g., the tendency towards under-esti...
It is well-established that decision makers bias their estimates of unknown quantities in the direct...
Cost estimation of software projects is an important activity that continues to be a source of probl...
Abstract—People’s estimates of uncertain quantities are commonly influenced by irrelevant values. Th...
ABSTRACT—Oneway tomake judgments under uncertainty is to anchor on information that comes to mind an...
Many software companies track and analyze project performance by measuring cost estimation accuracy....
The inaccuracy of software cost estimates has for long been a source of frustration to software prac...
The role of expert judgement is essential in our quest to improve software project planning and exec...
People's estimates of numerical quantities are systematically biased towards their initial guess. Th...
every software development estimate has been, or will be, biased. Biases in the estimating process c...
People's estimates of numerical quantities are systematically biased towards their initial guess. Th...
Abstract. This paper describes models whose purpose is to explain the accuracy and bias variation of...
Copyright © 2008 Society of Petroleum EngineersTversky and Kahneman [1] described the biases known a...
Effective prediction, for example of project costs, is an essential aspect of software development. ...
An assimilation of an estimate towards a previously considered standard is defined as judgmental anc...
In this paper, we propose improvements in how estimation bias, e.g., the tendency towards under-esti...
It is well-established that decision makers bias their estimates of unknown quantities in the direct...
Cost estimation of software projects is an important activity that continues to be a source of probl...
Abstract—People’s estimates of uncertain quantities are commonly influenced by irrelevant values. Th...
ABSTRACT—Oneway tomake judgments under uncertainty is to anchor on information that comes to mind an...
Many software companies track and analyze project performance by measuring cost estimation accuracy....
The inaccuracy of software cost estimates has for long been a source of frustration to software prac...
The role of expert judgement is essential in our quest to improve software project planning and exec...
People's estimates of numerical quantities are systematically biased towards their initial guess. Th...
every software development estimate has been, or will be, biased. Biases in the estimating process c...
People's estimates of numerical quantities are systematically biased towards their initial guess. Th...
Abstract. This paper describes models whose purpose is to explain the accuracy and bias variation of...
Copyright © 2008 Society of Petroleum EngineersTversky and Kahneman [1] described the biases known a...
Effective prediction, for example of project costs, is an essential aspect of software development. ...
An assimilation of an estimate towards a previously considered standard is defined as judgmental anc...
In this paper, we propose improvements in how estimation bias, e.g., the tendency towards under-esti...
It is well-established that decision makers bias their estimates of unknown quantities in the direct...