1cost6
An Experiment Measuring the Effects of Personal Software
Process (PSP) Training
Prechelt and Unger
IEEE TOSE May 00
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Output reliability
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Surprising data (no digit)
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Effort estimation error
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Estimated/actual productivity
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Productivity
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Productivity
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effort
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An Empirical Study Using Task Assignment Patterns to Improve the Accuracy of Software Effort
EstimationSmith, Hale, Parrish
IEEE TOSE March 01
11cost6
Goal
This paper reports the results of an empirical studyexploring the impact of four task assignment factors, teamsize, concurrency, intensity, and fragmentation, on softwaredevelopment effort. By adding these factors to the IntermediateCOCOMO I model (hereafter simply referred to asCOCOMO), its' estimates are improved significantly for thestudy project.
12cost6
What is basic formula?
E is an effort estimate, expressed in man-months (MM).EDSI refers to the number of Estimated Delivered SourceInstructions. The parameters a and b are determined by theapplication complexity mode; both of these values increasewith application complexity. The effort adjustment factor,EAF, is equal to 1 for the basic level and equals the productof 15 cost factors for the intermediate and advanced levels.
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Effort Factors
Based on a review of prior research [3], [6], [8], [12], fourmodule assignment factors, team size, concurrency, intensity,and fragmentation, were identified as potentially significantdeterminants of software development effort.
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Model of Process
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TEAM
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INTS
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CONC
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PFRAG
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Models
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Models
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Experiment
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Model Comparison
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Impact of work asgmnt
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For Tues 9/24
A Reference Model for Requirements and Specifications
Carl Gunter, Elsa Gunter, Michael Jackson and Pamela Zave
IEEE Software, May/June2000 pp37-43