Code City. Richard Wettel. ESUG 2008, Amsterdam

1. Richard Wettel and Michele Lanza
University of Lugano, CH
Code City

2. Software systems as

3. Richard Wettel and Michele
CodeCity
The city metaphor
3

4. Richard Wettel and Michele
CodeCity
The city metaphor
3
domain mapping
classes buildings
package
s
districts
system city

5. Richard Wettel and Michele
CodeCity
The city metaphor
3
domain mapping
classes buildings
package
s
districts
system city

6. Richard Wettel and Michele
CodeCity
The city metaphor
3
domain mapping
classes buildings
package
s
districts
system city

7. Richard Wettel and Michele
CodeCity
The city metaphor
3
domain mapping
classes buildings
package
s
districts
system city

8. Richard Wettel and Michele
CodeCity
The city metaphor
3
domain mapping
classes buildings
package
s
districts
system city
class metric building
propertynumber of
methods (NOM)
height
number of
attributes (NOA)
width,
length

9. Richard Wettel and Michele
CodeCity
The city metaphor
3
domain mapping
classes buildings
package
s
districts
system city
package
metric
district
propertynesting level color
class metric building
propertynumber of
methods (NOM)
height
number of
attributes (NOA)
width,
length

10. Richard Wettel and Michele
CodeCity
“Reading” a code city
4

11. Richard Wettel and Michele
CodeCity
“Reading” a code city
4
skyscrapers
(NOM, NOA)

12. Richard Wettel and Michele
CodeCity
“Reading” a code city
4
skyscrapers
(NOM, NOA)
parking lots
(NOM,
NOA)

13. Richard Wettel and Michele
CodeCity
“Reading” a code city
4
skyscrapers
(NOM, NOA)
parking lots
(NOM,
NOA)
office buildings
(NOM, NOA)

14. Mapping techniques

15. Richard Wettel and Michele
CodeCity
1. Identity mapping
6
NOM heightf(x) = x

16. Richard Wettel and Michele
CodeCity
1. Identity mapping
6
NOM heightf(x) = x

17. Richard Wettel and Michele
CodeCity
1. Identity mapping
6
NOM heightf(x) = x

18. Richard Wettel and Michele
CodeCity
Identity mapping applied
7

19. Richard Wettel and Michele
CodeCity
2. Linear mapping
8
NOM heightf(x) = ax + b

20. Richard Wettel and Michele
CodeCity
2. Linear mapping
8
NOM heightf(x) = ax + b

21. Richard Wettel and Michele
CodeCity
2. Linear mapping
8
NOM heightf(x) = ax + b

22. Richard Wettel and Michele
CodeCity
2. Linear mapping
8
NOM heightf(x) = ax + b

23. Richard Wettel and Michele
CodeCity
Linear mapping applied
9

24. Richard Wettel and Michele
CodeCity
3. Boxplot-based mapping
10
NOM heightclustering

25. Richard Wettel and Michele
CodeCity
3. Boxplot-based mapping
10
NOM heightclustering
very high
high
average
low
very low

26. Richard Wettel and Michele
CodeCity
3. Boxplot-based mapping
10
NOM heightclustering
very high
high
average
low
very low

27. Richard Wettel and Michele
CodeCity
3. Boxplot-based mapping
10
NOM heightclustering
very high
high
average
low
very low
upper quartile
lower quartile
median
lower whisker
upper whisker

28. Richard Wettel and Michele
CodeCity
3. Boxplot-based mapping
10
NOM heightclustering
very high
high
average
low
very low
upper quartile
lower quartile
median
lower whisker
upper whisker

29. Richard Wettel and Michele
CodeCity
3. Boxplot-based mapping
10
NOM heightclustering
very high
high
average
low
very low

30. Richard Wettel and Michele
CodeCity
3. Boxplot-based mapping
10
NOM heightclustering
very high
high
average
low
very low

31. Richard Wettel and Michele
CodeCity
3. Boxplot-based mapping
10
NOM heightclustering
very high
high
average
low
very low

32. Richard Wettel and Michele
CodeCity
Boxplot-based mapping applied
11

33. Richard Wettel and Michele
CodeCity
4. Threshold-based mapping
12
NOM heightclustering

34. Richard Wettel and Michele
CodeCity
4. Threshold-based mapping
12
NOM heightclustering
very high
high
average
low
very low

35. Richard Wettel and Michele
CodeCity
4. Threshold-based mapping
12
NOM heightclustering
very high
high
average
low
very low

36. Richard Wettel and Michele
CodeCity
4. Threshold-based mapping
12
NOM heightclustering
very high
high
average
low
very low

37. Richard Wettel and Michele
CodeCity
4. Threshold-based mapping
12
NOM heightclustering
very high
high
average
low
very low

38. Richard Wettel and Michele
CodeCity
4. Threshold-based mapping
12
NOM heightclustering
very high
high
average
low
very low

39. Richard Wettel and Michele
CodeCity
4. Threshold-based mapping
12
NOM heightclustering
very high
high
average
low
very low

40. Richard Wettel and Michele
CodeCity
Threshold-based mapping applied
13

41. Richard Wettel and Michele
CodeCity
Mappings compared
14
identit
y
linear
boxplot-
basedthreshold-
based

42. Richard Wettel and Michele
CodeCity
Mappings compared
14
identit
y
linear
boxplot-
basedthreshold-
based

43. Richard Wettel and Michele
CodeCity
Mappings compared
14
identit
y
linear
boxplot-
basedthreshold-
based

44. Richard Wettel and Michele
CodeCity
Mappings compared
14
identit
y
linear
boxplot-
basedthreshold-
based

45. Richard Wettel and Michele
CodeCity
Mappings compared
14
identit
y
linear
boxplot-
basedthreshold-
based

46. Understanding programs

47. Richard Wettel and Michele
CodeCity
Reverse-engineering ArgoUML
16

48. Richard Wettel and Michele
CodeCity
Reverse-engineering ArgoUML
16

49. Richard Wettel and Michele
CodeCity
Reverse-engineering ArgoUML
16

50. Richard Wettel and Michele
CodeCity
The twin towers
17

51. Richard Wettel and Michele
CodeCity
Facade
1 attribute
337
methods
The twin towers
17

52. Richard Wettel and Michele
CodeCity
Facade
1 attribute
337
methods
The twin towers
17
FacadeMDRI
mpl
3 attribute
349 methods

53. Richard Wettel and Michele
CodeCity
Facade
1 attribute
337
methods
The twin towers
17
Is there
anybody
out
FacadeMDRI
mpl
3 attribute
349 methods

54. Richard Wettel and Michele
CodeCity
Facade
1 attribute
337
methods
The twin towers
17
FacadeMDRI
mpl
3 attribute
349 methods

55. Richard Wettel and Michele
CodeCity
Hotels, parking lots, duplication
18

56. Richard Wettel and Michele
CodeCity
Hotels, parking lots, duplication
18
org.argouml.language.
java.generator
JavaTokenType
s146 attributes
0 methods
JavaRecognizer
24 attributes
91 methods

57. Richard Wettel and Michele
CodeCity
Hotels, parking lots, duplication
18
org.argouml.language.
java.generator
JavaTokenType
s146 attributes
0 methods
JavaRecognizer
24 attributes
91 methods
STDCTokenTy
pes152 attributes
0 methods
CPPParser
85 attributes
204 methods
org.argouml.uml.reveng.class
file

58. Richard Wettel and Michele
CodeCity
Hotels, parking lots, duplication
18
org.argouml.language.
java.generator
JavaTokenType
s146 attributes
0 methods
JavaRecognizer
24 attributes
91 methods
STDCTokenTy
pes152 attributes
0 methods
CPPParser
85 attributes
204 methods
JavaTokenTyp
es173
attributes0 methods
JavaRecogniz
er79 attributes
176 methods
org.argouml.uml.reveng.java
org.argouml.uml.reveng.class
file

59. Richard Wettel and Michele
CodeCity
Hotels, parking lots, duplication
18
org.argouml.language.
java.generator
JavaTokenType
s146 attributes
0 methods
JavaRecognizer
24 attributes
91 methods
STDCTokenTy
pes152 attributes
0 methods
CPPParser
85 attributes
204 methods
JavaTokenTyp
es173
attributes0 methods
JavaRecogniz
er79 attributes
176 methods
org.argouml.uml.reveng.java
org.argouml.uml.reveng.class
file
JavaTokenType
s145 attributes
0 methods

60. Richard Wettel and Michele
CodeCity
Hotels, parking lots, duplication
18
org.argouml.language.
java.generator
JavaTokenType
s146 attributes
0 methods
JavaRecognizer
24 attributes
91 methods
STDCTokenTy
pes152 attributes
0 methods
CPPParser
85 attributes
204 methods
JavaTokenTyp
es173
attributes0 methods
JavaRecogniz
er79 attributes
176 methods
org.argouml.uml.reveng.java
org.argouml.uml.reveng.class
file
JavaTokenType
s145 attributes
0 methods
JavaRecognizer
22 attributes
88 methods

61. Looking at the design

62. Richard Wettel and Michele
CodeCity
On software design...
20

63. Richard Wettel and Michele
CodeCity
On software design...
Definitions
bad smells [Beck & Fowler 1998], design flaws
heuristics [Riel 2000], principles [Martin 2002],
patterns [GoF 1995]
20

64. Richard Wettel and Michele
CodeCity
On software design...
Definitions
bad smells [Beck & Fowler 1998], design flaws
heuristics [Riel 2000], principles [Martin 2002],
patterns [GoF 1995]
Techniques
detection strategies for the design flaws
20

65. Richard Wettel and Michele
CodeCity
On software design...
Definitions
bad smells [Beck & Fowler 1998], design flaws
heuristics [Riel 2000], principles [Martin 2002],
patterns [GoF 1995]
Techniques
detection strategies for the design flaws
Visualization
?
20

66. Richard Wettel and Michele
CodeCity
The God Class detection strategy
21

67. Richard Wettel and Michele
CodeCity
God classes of JDK 1.5 in Moose
22

68. Richard Wettel and Michele
CodeCity
God classes of JDK in CodeCity
23

69. Richard Wettel and Michele
CodeCity
Class-level disharmony maps
24
KeyEvent
(NOA 205, NOM 18) java.awt.event
InputEvent
(NOA 21, NOM 14)
Frame
(NOA 33, NOM 38)
java.awt.geom
Container
(NOA 21, NOM 127)
Component
(NOA 88, NOM 280)
java.util.concurrent.locks
AbstractQueuedSynchronizer
(NOA 9, NOM 54)
String
(NOA 7, NOM 81)
Event
(NOA 84, NOM 14)
Class
(NOA 27, NOM 107)
BigInteger
(NOA 28, NOM 103)
BigDecimal
(NOA 18, NOM 96)
Security
(NOA 3, NOM 30)
java.util.regex
Pattern
(NOA 29, NOM 66)
Matcher
(NOA 17, NOM 38)
LogRecord
(NOA 17, NOM 28)
Logger
(NOA 18, NOM 53)
Font
(NOA 34, NOM 78)
KeyboardFocusManager
(NOA 33, NOM 94)
Frame
(NOA 33, NOM 38)
Calendar
(NOA 81, NOM 71)
java.util.logging
JDK 1.5

70. Richard Wettel and Michele
CodeCity
Class-level disharmony ma
25
org.argouml.reveng.java
Modeller
(NOA 15, NOM 52)
JavaRecognizer
(NOA 79, NOM 176)
org.argouml.reveng.classfile
SimpleByteLexer$GeneratorCPP
(NOA 34, NOM 100)
SimpleByteLexer$CPPParser
(NOA 85, NOM 204)
SimpleByteLexer$GeneratorPHP4
(NOA 4, NOM 33)
org.argouml.diagram.ui
FigNodeModelElement
(NOA 39, NOM 98)
FigEdgeModelElement
(NOA 13, NOM 76)
FigAssociation
(NOA 8, NOM 17)
JavaRecognizer
(NOA 24, NOM 91)
GeneratorJava
(NOA 11, NOM 66)
JavaLexer
(NOA 9, NOM 72)
org.argouml.language.java.generator
org.argouml.uml.notation.uml
org.argouml.model.mdr
FacadeMDRImpl
(NOA 3, NOM 349)
CoreHelperMDRImpl
(NOA 3, NOM 349)
Facade
(NOA 1, NOM 337)
JavaTokenTypes
(NOA 173, NOM 0)
UmlFactoryMDRImpl
(NOA 9, NOM 22)
ArgoUML

71. Richard Wettel and Michele
CodeCity
Granularity of representation
26
NOM=7
NOA
=
2
NOA = 2
class C
coarse

72. Richard Wettel and Michele
CodeCity
Granularity of representation
26
NOM=7
NOA
=
2
NOA = 2
class C
coarse fine-grained

73. Richard Wettel and Michele
CodeCity
Granularity of representation
26
NOM=7
NOA
=
2
NOA = 2
class C
class C
coarse fine-grained

74. Richard Wettel and Michele
CodeCity
Granularity of representation
26
NOM=7
NOA
=
2
NOA = 2
class C
class C
m4
m1
m3
m5 m7
m6
m2
coarse fine-grained

75. Richard Wettel and Michele
CodeCity 27
Feature envy map
Jmol

76. Richard Wettel and Michele
CodeCity 27
1,500 methods
(25 %)
Feature envy map
Jmol

77. Richard Wettel and Michele
CodeCity
Shotgun surgery map
28
ArgoUM
L

78. Richard Wettel and Michele
CodeCity
Shotgun surgery map
28
ArgoUM
L

79. Richard Wettel and Michele
CodeCity
Shotgun surgery map
28
ArgoUM
L

80. Exploring the history

81. Richard Wettel and Michele
CodeCity
Modeling history: Hismo
30
Class

82. Richard Wettel and Michele
CodeCity
Modeling history: Hismo
30
Class
time

83. Richard Wettel and Michele
CodeCity
Modeling history: Hismo
30
Class
Class
Version
timetimestamp N

84. Richard Wettel and Michele
CodeCity
Modeling history: Hismo
30
Class
Class
Version
...
timetimestamp N
Class
Version
Class
timestamp 2

85. Richard Wettel and Michele
CodeCity
Modeling history: Hismo
30
Class
Class
Version
...
timetimestamp N
Class
Version
Class
timestamp 1
Class
Version
Class
timestamp 2

86. Richard Wettel and Michele
CodeCity
Modeling history: Hismo
30
Class
Class
Version
Class History
...
timetimestamp N
Class
Version
Class
timestamp 1
Class
Version
Class
timestamp 2

87. Richard Wettel and Michele
CodeCity
Visualizing evolution
31
Time travel
Age map
Timeline
fine

88. Richard Wettel and Michele
CodeCity
Visualizing evolution
31
Time travel
Age map
Timeline
fine

89. Richard Wettel and Michele
CodeCity
Visualizing evolution
31
Time travel
Age map
Timeline
fine

90. Richard Wettel and Michele
CodeCity
Consistent locality
32
A
BarFoo
Blueprint for the city,
based on the maximal
expansion of each artifact
(building, district).

91. Richard Wettel and Michele
CodeCity
Consistent locality
32
A
BarFoo
Blueprint for the city,
based on the maximal
expansion of each artifact
(building, district).
Fo
version 1
Bar

92. Richard Wettel and Michele
CodeCity
Consistent locality
32
A
BarFoo
Blueprint for the city,
based on the maximal
expansion of each artifact
(building, district).
Fo
version 1
Bar
A
Foo Ba
version 2

93. Richard Wettel and Michele
CodeCity
Consistent locality
32
A
BarFoo
Blueprint for the city,
based on the maximal
expansion of each artifact
(building, district).
Fo
version 1
Bar
A
Foo Ba
version 2
Foo
A
version 3

94. Richard Wettel and Michele
CodeCity
Age map
33
Bricks position is
chronological
neighbors are contemporary class C

95. Richard Wettel and Michele
CodeCity
Superficial glimpse in the past.
color layer according to age (number of versions)
Age map
33
Bricks position is
chronological
neighbors are contemporary class C

96. Richard Wettel and Michele
CodeCity
Superficial glimpse in the past.
color layer according to age (number of versions)
Age map
33
1N
Bricks position is
chronological
neighbors are contemporary class C

97. Richard Wettel and Michele
CodeCity
Superficial glimpse in the past.
color layer according to age (number of versions)
Age map
33
1N
Bricks position is
chronological
neighbors are contemporary class C

98. Richard Wettel and Michele
CodeCity
Superficial glimpse in the past.
color layer according to age (number of versions)
Age map
33
1N
Bricks position is
chronological
neighbors are contemporary class C
m4
m1
m3
m5
m7
m6
m2

99. Richard Wettel and Michele
CodeCity
Age map interpretation
34
age: 1 2 3 4 5 6 7 8

100. Richard Wettel and Michele
CodeCity
Age map interpretation
34
age: 1 2 3 4 5 6 7 8
stable
very old

101. Richard Wettel and Michele
CodeCity
Age map interpretation
34
age: 1 2 3 4 5 6 7 8
stable
oldvery old
rarely updated

102. Richard Wettel and Michele
CodeCity
Age map interpretation
34
age: 1 2 3 4 5 6 7 8
stable
youngoldvery old
rarely updated
highly unstable

103. Richard Wettel and Michele
CodeCity
Age map interpretation
34
age: 1 2 3 4 5 6 7 8
stable
youngoldvery old
rarely updated
highly unstable
very old
updated
often,
rather
unstable

104. Richard Wettel and Michele
CodeCity
Age map, fine-grained
35
library packages:
java
javax
junit
org.w3c.dom
(classes) AllTests
CH.ifa.draw.standard
CH.ifa.draw.framework
CH.ifa.draw.figures
CH.ifa.draw.test
class DrawApplication
in CH.ifa.draw.application
class StandardDrawingView
in CH.ifa.draw.standard.

105. Richard Wettel and Michele
CodeCity
Time travel, coarse-grained
36
ArgoUML

106. Richard Wettel and Michele
CodeCity
Time travel, coarse-grained
36
ArgoUML

107. Richard Wettel and Michele
CodeCity
Time travel, fine-grained
37
JHotDraw

108. Richard Wettel and Michele
CodeCity
Time travel, fine-grained
37
JHotDraw

109. Richard Wettel and Michele
CodeCity
Timeline
38
History of class C

110. Richard Wettel and Michele
CodeCity
Timeline
38
time
(versions)
m3
m5
History of class C
V1

111. Richard Wettel and Michele
CodeCity
Timeline
38
time
(versions)
m3
m5 m8
m12
m3
History of class C
V1
V2

112. Richard Wettel and Michele
CodeCity
Timeline
38
time
(versions)
m3
m5 m8
m12
m3
History of class C
V1
V2

113. Richard Wettel and Michele
CodeCity
Timeline
38
time
(versions)
m3
m5 m8
m12
m3
m12
m18
History of class C
V1
V2
V3

114. Richard Wettel and Michele
CodeCity
Timeline
38
time
(versions)
m3
m5 m8
m12
m3
m12
m18
History of class C
V1
V2
V3

115. Richard Wettel and Michele
CodeCity
Examples of timelines
39

116. Richard Wettel and Michele
CodeCity
Examples of timelines
39

117. Richard Wettel and Michele
CodeCity
Scripting cities
40

118. Richard Wettel and Michele
CodeCity
On relationships
41

119. The tool

120. Richard Wettel and Michele
CodeCity
Tool chain
43
iPlasma
Moose
CodeCity
model
exchange
parsing &
metric computation
Jun
rendering
VisualWorks 7.6

121. Richard Wettel and Michele
CodeCity
Cityscapes
44

122. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105

123. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105

124. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105

125. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105

126. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105

127. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105

128. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105

129. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105

130. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105

131. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105

132. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105

133. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105

134. Richard Wettel and Michele
CodeCity
Cityscapes
44
System Languag
e
NOP NOC kLO
C
Azureus Java 457 4734 274
ArgoUML Java 144 2542 137
JHotDraw Java 72 998 30
iText Java 149 1250 80
Jmol Java 105 1032 85
JDK 1.5
core
Java 137 4715 160
Moose Smalltal
k
278 961 32
Jun Smalltal
k
288 2236 351
CodeCity Smalltal
k
129 291 18
ScumVM C++ 18 1331 105
1.25 million
LOC

135. http://www.inf.unisi.ch/phd/wettel/
codecity.html

136. http://www.inf.unisi.ch/phd/wettel/
codecity.html
over
1100
downloads
since March
2008
!

137. http://www.inf.unisi.ch/phd/wettel/
codecity.html
over
1100
downloads
since March
2008
!

138. http://www.inf.unisi.ch/phd/wettel/
codecity.html
^ Smalltalk
over
1100
downloads
since March
2008
!