1

2

Yet another drought victim
Fenton07: “....much of the current
software metrics research is
inherently irrelevant to the
industrial mix ... any software
metrics program that depends on
some extensive metrics collection is
doomed to failure.”
e.g. After 26 years, Boehm collected
less than 200 sample projects for the
COCOMO effort database 3

Past
Future?
4

Managers have more
options than they think
5

ranges: min max | fixed
Controllability
assumption 6

From Hoh Peter In
And Barry Boehm, 1999
(not all drastic changes,
just a sample)
7

Q: can we do better than drastic
change via internal changes?
A: in many cases, yes 8

b
a
9

10

11

12

ranges: min max | fixed
Controllability
assumption 13

Increase effort! decrease effort!
acap, apex, ltex, pcap,
cplx, data, docu
pcon, plex, sced,
pvol, rely, ruse,
site, tool
stor, time
14

15

16

Results normalized min=0 to max=100
50% percentile
17

Treatment
25% to 75% range
50% (median)

Internal change
Mann-Whitney results (95% confidence)
19

Defect predictions after SEESAW
• Always first, or ties with first
20

Development Time predictions after SEESAW
• Flight= first
• Ground = first
• OSP = fourth (beaten by reduce quality, improve pcap)
• OSP2= third (beaten by reduce quality, improve pcap)
21

Effort predictions after SEESAW
• Flight= first
• Ground = first
• OSP = third (beaten by reduce quality, improve pcap)
• OSP2 = fifth (but still in bottom half)
22

23

team
flex
resl
pmat
prec
cplx
acap
pcap
time
pcon
rely
site
docu
apex
tool
pvol
stor
sced
ltex
data
plex
ruse
0.00 2.00 4.00 6.00
Relative impact above lowest value
24

b
a
25

26

27