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albrecht.arff
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This is a PROMISE Software Engineering Repository data set made publicly
% available in order to encourage repeatable, verifiable, refutable, and/or
% improvable predictive models of software engineering.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% To read/write comments on this data, see
% http://code.google.com/p/promisedata/wiki/Albrecht .
% 1. Title/Topic: ALBRECHT
%
%
% 2. Sources:
% -- Creators: Dr. Albrecht A.J., Dr. Gaffney J.
% -- Reference: A. J. Albrecht, J. Gaffney, 1983 Software function,
% source lines of code, and development effort prediction.
% IEEE Transactions on Software Engineering, 9, 639¨C648.
% -- Donor: Yanfu Li ([email protected])
% -- Date: October 14, 2009
% 3. Past usage:
%
% [1] A. J. Albrecht, J. Gaffney, 1983 Software function,
% source lines of code, and development effort prediction.
% IEEE Transactions on Software Engineering, 9, 639¨C648.
%
% [2] M. Shepperd, C. Schofield. 1997 Estimating software
% project effort using analogies.
% IEEE Transactions on Software Engineering, 23, 736-743.
%
% [3] Y.F. Li, M. Xie. T.N. Goh. 2009. A Study of Project Selection
% and Feature Weighting for Analogy Based Software Cost Estimation.
% Journal of Systems and Software. 82(2), 241-252.
%
% [4] Y.F. Li, M. Xie, T.N. Goh. 2009. A Study on the Non-linear
% Adjustment for Analogy Based Software Cost Estimation.
% Empirical Software Engineering. 14(6), 603-643.
@relation albrecht
@attribute Input numeric
@attribute Output numeric
@attribute Inquiry numeric
@attribute File numeric
@attribute FPAdj numeric
@attribute RawFPcounts numeric
@attribute AdjFP numeric
@attribute Effort numeric
@data
25,150,75,60,1,1750,1750,102.4
193,98,70,36,1,1902,1902,105.2
70,27,0,12,0.8,535,428,11.1
40,60,20,12,1.15,660,759,21.1
10,69,1,9,0.9,478.89,431,28.8
13,19,0,23,0.75,377.33,283,10
34,14,0,5,0.8,256.25,205,8
17,17,15,5,1.1,262.73,289,4.9
45,64,14,16,0.95,715.79,680,12.9
40,60,20,15,1.15,690.43,794,19
41,27,29,5,1.1,465.45,512,10.8
33,17,8,5,0.75,298.67,224,2.9
28,41,16,11,0.85,490.59,417,7.5
43,40,20,35,0.85,802.35,682,12
7,12,13,8,0.95,220,209,4.1
28,38,24,9,1.05,487.62,512,15.8
42,57,12,5,1.1,550.91,606,18.3
27,20,24,6,1.1,363.64,400,8.9
48,66,13,50,1.15,1073.91,1235,38.1
69,112,21,39,1.2,1310,1572,61.2
25,28,4,22,1.05,476.19,500,3.6
61,68,0,11,1,694,694,11.8
15,15,6,3,1.05,189.52,199,0.5
12,15,0,15,0.95,273.68,260,6.1