%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 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.
%
% If you publish material based on PROMISE data sets then, please
% follow the acknowledgment guidelines posted on the PROMISE repository
% web page http://promise.site.uottawa.ca/SERepository .
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

@relation desharnais.csv

% Domain: software cost estimation
% Donor:  Martin Shepperd <Martin.Shepperd@brunel.ac.uk           
% Notes:  4 incomplete projects (projects 38,44,66,75) so often people use the 77 complete cases.
%         The original source is [1].
%         Our paper [2] provides a basic overview of the data set.
% References:
%         [1] J. M. Desharnais, "Analyse statistique de la
%         productivitie des projets informatique a partie de la
%         technique des point des foncti\ on," University of Montreal,
%         Masters Thesis, 1989.
%
%         [2] M. J. Shepperd and C. Schofield, "Estimating software
%         project effort using analogies," IEEE Transactions on
%         Software Engineering,\ vol. 23, pp. 736-743, 1997.
% Attributes:

@attribute Project numeric        % proj if
@attribute TeamExp numeric        % measured in years
@attribute ManagerExp numeric     % measured in years
@attribute YearEnd numeric
@attribute Length numeric
@attribute Effort numeric        % ActualEffort is measured in person-hours
@attribute Transactions numeric  % Transactions is a count of basic logical transactions in the system
@attribute Entities numeric      % Entities is the number of entities in the systems data model
@attribute PointsAdjust numeric
@attribute Envergure numeric
@attribute PointsNonAjust numeric
@attribute Language {1,2,3}      
%
% Sample run (WEKA):
%          === Run information ===
%
%          Scheme:       weka.classifiers.functions.LinearRegression -S 0 -R 1.0E-8
%          Relation:     martin.csv
%          Instances:    81
%          Attributes:   12
%                        Project
%                        TeamExp
%                        ManagerExp
%                        YearEnd
%                        Length
%                        Effort
%                        Transactions
%                        Entities
%                        PointsAdjust
%                        Envergure
%                        PointsNonAjust
%                        Langage
%          Test mode:    10-fold cross-validation
%
%          === Classifier model (full training set) ===
%
%          Linear Regression Model
%
%          Effort =
%             -433.25   * TeamExp +
%              408.8057 * ManagerExp +
%              201.2701 * Length +
%                4.2361 * Transactions +
%                7.9056 * Entities +
%                4.4594 * PointsAdjust +
%               92.1389 * Envergure +
%            -1777.4579 * Langage +
%             -278.0786

%
%          Time taken to build model: 0.02 seconds
%
%          === Cross-validation ===
%          === Summary ===
%
%          Correlation coefficient                  0.7303
%          Mean absolute error                   2082.1182
%          Root mean squared error               3007.0504
%          Relative absolute error                 64.9965 %
%          Root relative squared error             67.3788 %
%          Total Number of Instances               81

@data

1,1,4,85,12,5152,253,52,305,34,302,1
2,0,0,86,4,5635,197,124,321,33,315,1
3,4,4,85,1,805,40,60,100,18,83,1
4,0,0,86,5,3829,200,119,319,30,303,1
5,0,0,86,4,2149,140,94,234,24,208,1
6,0,0,86,4,2821,97,89,186,38,192,1
7,2,1,85,9,2569,119,42,161,25,145,2
8,1,2,83,13,3913,186,52,238,25,214,1
9,3,1,85,12,7854,172,88,260,30,247,1
10,3,4,83,4,2422,78,38,116,24,103,1
11,4,1,84,21,4067,167,99,266,24,237,1
12,2,1,84,17,9051,146,112,258,40,271,1
13,1,1,84,3,2282,33,72,105,19,88,1
14,3,4,85,8,4172,162,61,223,32,216,1
15,4,4,85,9,4977,223,121,344,28,320,1
16,3,2,85,8,1617,119,48,167,26,152,2
17,4,3,85,8,3192,57,43,100,43,108,1
18,4,4,86,14,3437,68,316,384,20,326,2
19,3,4,87,14,4494,9,386,395,21,340,2
20,4,2,86,5,840,58,34,92,29,86,1
21,4,4,86,12,14973,318,269,587,34,581,2
22,2,4,85,18,5180,88,170,258,34,255,1
23,2,4,86,5,5775,306,132,438,37,447,1
24,4,1,87,20,10577,304,78,382,39,397,1
25,1,4,86,8,3983,89,200,289,33,283,1
26,4,1,85,14,3164,86,230,316,33,310,1
27,2,0,86,6,3542,71,235,306,37,312,1
28,3,1,85,14,4277,148,324,472,39,491,1
29,4,4,85,16,7252,116,170,286,27,263,1
30,4,1,85,14,3948,175,277,452,37,461,1
31,4,3,86,6,3927,79,128,207,27,190,1
32,1,1,86,9,710,145,38,183,27,168,3
33,4,4,87,9,2429,174,78,252,41,267,3
34,1,1,85,5,6405,194,91,285,35,285,1
35,2,2,88,3,651,126,49,175,38,180,3
36,1,3,86,17,9135,137,119,256,34,253,2
37,2,4,87,11,1435,289,88,377,28,351,3
38,?,?,87,8,5922,260,144,404,24,360,1
39,1,4,88,4,847,158,59,217,18,180,3
40,3,3,88,16,8050,302,145,447,52,523,2
41,1,1,87,9,4620,451,48,499,28,464,1
42,2,4,87,34,2352,661,132,793,23,698,3
43,1,1,88,10,2174,64,54,118,25,106,1
44,?,4,86,39,19894,284,230,514,50,591,1
45,2,1,86,18,6699,182,126,308,35,308,1
46,2,3,87,27,14987,173,332,505,19,424,1
47,2,2,88,9,4004,252,7,259,28,241,1
48,4,3,85,11,12824,131,180,311,51,361,1
49,2,3,85,8,2331,106,39,145,6,103,1
50,3,3,85,9,5817,96,108,204,29,192,1
51,2,3,85,7,2989,116,72,188,18,156,1
52,3,3,85,6,3136,86,49,135,32,131,1
53,2,3,85,17,14434,221,121,342,35,342,1
54,1,1,87,12,2583,61,96,157,18,130,1
55,1,3,86,12,3647,132,89,221,5,155,2
56,3,7,86,13,8232,45,387,432,16,350,2
57,1,1,86,12,3276,55,112,167,12,129,2
58,1,4,87,8,2723,124,52,176,14,139,2
59,3,3,87,5,3472,120,126,246,15,197,2
60,1,2,87,6,1575,47,32,79,14,62,2
61,1,1,86,12,2926,126,107,233,23,205,2
62,3,2,86,6,1876,101,45,146,15,117,2
63,1,1,86,5,2520,78,99,177,14,140,1
64,4,7,86,13,1603,69,74,143,14,113,1
65,1,3,86,8,3626,194,97,291,35,291,2
66,2,?,87,10,6783,224,110,334,28,311,2
67,2,4,87,15,11361,323,184,507,35,507,2
68,1,3,86,10,1267,42,31,73,27,67,2
69,1,2,87,5,2548,74,43,117,25,105,2
70,3,4,87,10,1155,101,57,158,9,117,2
71,0,4,86,6,546,97,42,139,6,99,3
72,2,3,84,13,2275,134,77,211,13,165,2
73,4,5,86,26,9100,482,227,709,26,645,2
74,0,2,84,6,595,213,73,286,6,203,3
75,0,?,84,22,3941,139,143,282,22,245,2
76,2,3,86,24,13860,473,182,655,40,688,2
77,4,4,85,12,1400,229,169,398,39,414,3
78,4,3,83,12,2800,227,73,300,34,297,1
79,4,4,86,24,9520,395,193,588,40,617,1
80,4,3,86,12,5880,469,176,645,43,697,3
81,4,4,85,36,23940,886,241,1127,34,1116,1