@relation qqdefects.arff

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 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://promisedata.org/repository .
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%
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% (c) 2007  Norman Fenton
% This data set is distributed under the
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%

% Qualitative and quantitative data about 31 projects completed in a
% consumer electronics company (one row per project).
% There
% is a mixture of qualitative attributes (these are measured on a 5
% point ranked scale VL, L, M, H, VH) and quantitative attributes
% whose scale is stated.

% from..
% Title:
%    Project Data Incorporating Qualitative Factors for Improved Software Defect;
% Author(s):
%    Norman Fenton and Martin Neil and William Marsh and Peter Hearty and Lukasz Radlinski and Paul Krause; 
% Published in:
%    in Proceedings of the PROMISE workshop;
% Year:
%    2007; 

% attributes:
% S1	Relevant Experience of Spec & Doc Staff
% S2	Quality of Documentation inspected
% S3	Regularity of Spec & Doc Reviews
% S4	Standard Procedures Followed
% S5	Quality of Documentation inspected
% S6	Spec Defects Discovered in Review
% S7	Requirements Stability
% F1	Complexity of new functionality
% F2	Scale of New functionality implemented
% F3	Total no. of Inputs and Outputs
% D1	Relevant Development Staff Experience
% D2	Programmer capability
% D3	Defined processes followed
% D4	Development Staff motivation
% T1	Testing Process Well Defined
% T2	Testing Staff Experience
% T3	Testing Staff Experience
% T4	Quality of Documented Test Cases
% P1	Dev. Staff Training Quality
% P2	Requirements Management
% P3	Project Planning
% P4	Scale of Distributed Communication
% P5	Stake-holder involvement
% P6	Stake-holder involvement
% P7	Vendor Management
% P8	Internal communication/interaction
% P9	Process Maturity
% E	Total Effort
% K	KLOC
% L	Language
% TD	Testing Defects (Pre+ Post)

@attribute S1 {H,L,VH,M}
@attribute S2 {M,H,L,VH}
@attribute S3 {VH,M,H}
@attribute S4 {H,L,M,VL}
@attribute S5 {M,H,L,VH}
@attribute S6 {H,VH,L,M}
@attribute S7 {L,H,M,VH,VL}
@attribute F1 {M,L,H,VH}
@attribute F2 {L,VL,H,M,VH}
@attribute F3 {M,VH,H}
@attribute D1 {L,H,M,VH,VL}
@attribute D2 {H,VH,M,VL,L}
@attribute D3 {H,L,M,VH}
@attribute D4 {H,VH,M}
@attribute T1 {M,H,VL}
@attribute T2 {H,VL,M,VH,L}
@attribute T3 {L,H,VL,M,VH}
@attribute T4 {H,L,M}
@attribute P1 {VH,H,L,M}
@attribute P2 {H,VH,M}
@attribute P3 {H,VL,VH,M,L}
@attribute P4 {L,M,VL,H}
@attribute P5 {H,VH,M}
@attribute P6 {M,VH,H}
@attribute P7 {M,L,H}
@attribute P8 {VH,H,M}
@attribute P9 {H,VH,M}
@attribute E numeric
@attribute K numeric
@attribute L {C,VC++MFC}
@attribute TD numeric

@data

H,M,VH,H,M,H,L,M,L,M,L,H,H,H,M,H,L,H,VH,H,H,L,H,M,?,VH,H,7108.82,6.02,C,148
H,H,VH,H,M,H,H,L,VL,M,L,H,H,H,H,H,L,H,VH,H,H,L,H,M,?,VH,H,1308.08,0.897,C,31
H,H,VH,H,H,VH,H,H,H,VH,H,VH,H,VH,H,H,H,H,H,VH,H,?,VH,VH,?,VH,VH,18170,53.858,C,209
L,L,M,L,L,L,L,M,L,M,L,M,L,M,VL,VL,VL,L,L,M,VL,L,M,M,M,H,M,7006,?,C,228
H,M,H,M,H,?,M,H,H,VH,L,M,H,H,M,M,L,M,H,H,H,M,M,H,L,VH,M,9434,14,C,373
VH,M,VH,M,H,?,H,M,M,VH,M,H,M,M,H,?,M,M,H,H,H,M,M,VH,L,VH,H,9440.95,14,C,167
L,M,VH,H,H,L,M,L,VL,M,M,VH,H,H,H,M,M,H,H,H,VH,VL,VH,VH,?,H,VH,13888.26667,21,C,204
M,M,H,M,H,L,H,M,L,M,H,H,M,M,H,M,M,M,M,H,H,VL,H,H,?,H,H,8822,5.794,C,53
H,VH,VH,H,VH,M,VH,L,L,M,H,VH,VH,H,H,VH,VH,H,VH,VH,VH,L,VH,VH,?,VH,VH,2192,2.474,VC++MFC,17
H,H,H,M,H,M,H,M,L,M,H,H,H,H,H,M,M,M,H,H,H,VL,H,H,?,M,H,4410,4.843,C,29
H,M,H,M,H,H,H,H,H,H,H,H,H,H,H,H,M,M,H,H,H,VL,H,H,?,M,M,14196,4.371,C,71
H,M,H,M,M,M,L,H,H,H,VH,M,M,H,H,H,M,M,H,H,H,L,H,H,?,M,H,13387.5,18.995,C,90
VH,M,M,L,M,H,L,H,H,H,H,H,H,H,M,M,L,M,M,H,H,VL,H,M,H,M,M,25449.6,49.097,C,129
H,H,H,H,H,H,H,VH,H,H,H,H,H,H,H,H,H,H,H,H,H,?,H,H,?,H,H,33472,58.3,C,672
H,H,H,H,H,VH,VL,H,H,M,H,H,H,H,M,H,M,M,VH,M,H,M,VH,VH,?,VH,H,34892.65,154,C,1768
H,H,H,H,H,H,M,L,VL,M,H,H,H,H,M,H,M,M,VH,M,H,M,VH,VH,?,VH,H,7121,26.67,C,109
VH,H,M,L,H,H,M,L,VL,M,M,M,H,H,M,L,L,H,M,M,M,M,M,H,?,H,M,13680,33,C,688
M,H,H,H,H,VH,VL,VH,VH,H,M,H,H,H,H,H,M,M,VH,M,H,H,VH,VH,?,VH,H,32365.98,155.2,C,1906
H,M,H,H,H,H,M,H,H,H,H,H,H,H,H,M,M,H,M,H,H,L,H,H,?,H,H,12387.65,87,C,476
L,L,M,VL,L,M,VL,VH,H,VH,VL,VL,L,H,VL,VL,VH,H,H,M,L,H,H,M,?,H,H,52660,50,C,928
H,H,H,M,L,M,M,L,M,VH,H,H,H,H,H,H,H,H,H,H,H,H,H,H,?,H,H,18748,22,C,196
L,L,M,M,M,M,L,M,M,VH,H,M,L,H,H,M,M,H,H,H,M,H,H,H,?,H,H,28206,44,C,184
M,H,VH,H,L,M,M,H,VH,VH,L,H,H,H,H,H,H,H,H,H,H,H,H,M,?,H,H,53995,61,C,680
M,M,M,H,M,H,L,M,M,H,M,H,H,M,H,M,M,M,H,H,M,L,M,H,?,VH,H,24895,99,C,1597
M,H,?,H,M,M,M,H,VL,H,M,H,M,H,VL,M,H,L,M,M,M,M,M,M,M,H,H,6905.75,23,C,546
M,M,H,M,H,H,H,M,H,M,L,M,M,M,M,L,H,M,L,M,M,L,H,H,L,H,M,1642,?,C,261
H,M,VH,M,M,VH,M,H,VH,VH,M,L,M,H,M,M,M,M,H,M,L,L,M,H,H,H,M,14602,52,C,412
H,L,VH,M,M,M,L,VH,VH,VH,M,L,H,H,M,M,M,M,H,M,L,L,M,M,?,H,M,8581,36,C,881
H,M,VH,H,M,M,VH,M,M,H,VH,VH,H,H,H,VH,VH,H,M,H,H,L,VH,VH,?,H,H,3764,11,C,91
H,H,VH,H,H,M,VH,L,L,M,H,H,H,H,H,H,H,H,M,H,H,L,VH,VH,?,H,H,1976,1,C,5
?,H,H,M,M,H,M,M,M,H,H,H,H,H,M,H,M,M,H,H,H,H,VH,VH,?,VH,VH,15691,33,C,653