Learning how to improve effort estimation in small software development companies

被引:12
|
作者
Moses, J [1 ]
Clifford, J [1 ]
机构
[1] Univ Sunderland, Sch Comp Engn & Technol, Sunderland SR6 0YN, Durham, England
关键词
estimation effort; Bayesian inference; subjective miss-classification tendencies; estimation consistency; small companies;
D O I
10.1109/CMPSAC.2000.884776
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Small software development companies have special effort estimation requirements. In particular, small companies often find that they must tender for contracts for which they hat's no expertise in the project problem or solution domains. In addition, they have little spare capacity far project management and improvement. They have therefore no formal way of learning how to improve future effort estimates. A discussion of why small software companies effort estimation needs are likely. To be different to larger companies is provided; and a proposal for specific support for effort estimation in smaller companies is given. The support rakes the form of a simple Bayesian statistical modelling approach. The approach can be used by estimators to learn how to improve the consistency of their estimation in existing and in novel problem and solution domains.
引用
收藏
页码:522 / 527
页数:6
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