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• W2009407457 abstract "Estimating software development effort remains a complex problem attracting considerable research attention. Improving the estimation techniques available to project managers would facilitate more effective control of time and budgets in software development. This paper reviews a research study comparing three estimation techniques using function points as an estimate of system size. The models considered are based on regression analysis, artificial neural networks and case-based reasoning. Although regression models performed poorly on the data set of 299 projects, both artificial neural networks and case-based reasoning appeared to have value for software development effort estimation models. Case-based reasoning in particular is appealing because of its similarity to expert judgment approaches and for its potential as an expert assistant in support of human judgment." @default.
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• W2009407457 date "1997-12-01" @default.
• W2009407457 modified "2023-10-09" @default.
• W2009407457 title "A comparison of software effort estimation techniques: Using function points with neural networks, case-based reasoning and regression models" @default.
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• W2009407457 doi "https://doi.org/10.1016/s0164-1212(97)00055-1" @default.
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