thesis - Faculty of Information and Communication Technologies ...

More documents

Recommendations

Info

Chapter D. Metric Extraction Illustration 1 /∗∗ Total counts for a subset of metrics are included in the header 2 ∗ LIC (Load Count) = 15, SIC ( Store Count) = 2, NOM (Number of Methods) = 2 3 ∗ NOB (Number of Branches ) = 6, TCC (Type Construction Count) = 1 4 ∗ MCC (Method Call Count) = 3, THC (Throw Count) = 1, EXC ( Exception Count) = 1 5 ∗ ODC (Out Degree Count) = 4 ( String , Exception , PrintStream , System. out ) 6 ∗ NOF (Number of Fields ) = 3, IOC ( Increment Operation Count) = 3 7 ∗ LVC ( Local Variable Count) = 3 8 ∗/ 9 public class MetricCountExample 10 { 11 private boolean bField ; // un−initialised field 12 13 // 2 LOADS: this , constant integer 14 private int index = 5; // 1 STORE 15 16 // 2 LOADS: this , constant string 17 private String str = " Hello World ! " ; // 1 STORE 18 19 // Default Constructor 20 // 1 LOAD ( this ) , 1 METHOD CALL ( constructor of super class java . lang . Object ) 21 22 public void methodX ( String msg ) throws Exception 23 { 24 int a = 5; // 1 LOAD constant of 5, 1 STORE into local variable a 25 methodY ( ) ; // 1 INTERNAL method call , 1 LOAD: this object 26 27 // BRANCH count = 2, one for the i f and another for && 28 // 4 LOADS: a , this , index , and bField 29 i f ( ( a > index ) && ( bField == f a l s e ) ) return ; 30 31 // BRANCH count = 2, default is not counted , 1 per each case 32 switch ( index ) // 2 LOADS: this , index 33 { 34 case 0: a++; // INCREMENT operation 35 case 1: a−−; // INCREMENT operation with −1 36 default : a−−; // INCREMENT operation with −1 37 } 38 39 // BRANCH COUNT = 1, TYPE Construction Count = 1 (new Exception ) 40 // THROW Count = 1, 2 LOADS: args array , constant value 3 41 i f ( msg == null ) throw new Exception ( " Something odd" ) ; 42 } 43 44 public void methodY ( ) 45 { 46 // 2 LOAD constants , 1 STORE, 1 INCREMENT OPERATION, 1 BRANCH ( for loop condition ) 47 for ( int j=0; j
Appendix E Growth Dynamics Data Files The data referred to in the study of the distribution of the growth (Chapter 5) is described in Table E.1, and located in the directory data/growth on the DVD. The data is also available online at: http://www.ict.swin.edu.au/personal/rvasa/thesis/data File Name desc-stat.txt norm-test.txt gini.txt correl.txt gini-trend.log Description Contains the descriptive statistics for the different metrics analyzed. Data is in CSV format. Contains the results of the test for normality for the different metrics analyzed. Contains the Gini coefficient values (CSV format) for the different metrics analyzed. The correlation coefficient values determined between the various metrics as described in Section 5.4.1. Log of the statistical analysis undertaken in order to establish the trend in Gini coefficients. The analysis is outlined in Section 5.3.6, and the observations are described in Section 5.4.7. Table E.1: Data files used in the study of Growth (Chapter 5) . The raw metric data is provided as a comma separated values (CSV) file, and the first line of the CSV file contains the header. A detailed output of the statistical analysis undertaken is provided as log files generated directly from Stata (statistical analysis software) [259]. 204
Page 1 and 2:
Growth and Change Dynamics in Open
Page 3 and 4:
Dedicated to all my teachers ii
Page 5 and 6:
Declaration I declare that this the
Page 7 and 8:
7. R. Vasa, M. Lumpe, P. Branch, an
Page 9 and 10:
Contents 3.4 Selection Criteria . .
Page 11 and 12:
Contents 5.4.5 Identifying Change u
Page 13 and 14:
Contents 7.2.2 Software Metric Tool
Page 15 and 16:
List of Figures 4.7 Class diagram s
Page 17 and 18:
List of Figures 6.9 Probability of
Page 19 and 20:
List of Tables 5.2 Spearman’s Ran
Page 21 and 22:
Chapter 1. Introduction in the laws
Page 23 and 24:
Chapter 1. Introduction models that
Page 25 and 26:
Chapter 1. Introduction compute at
Page 27 and 28:
Chapter 1. Introduction undergo con
Page 29 and 30:
Chapter 2 Software Evolution How do
Page 31 and 32:
Chapter 2. Software Evolution Proce
Page 33 and 34:
Chapter 2. Software Evolution Softw
Page 35 and 36:
Chapter 2. Software Evolution devel
Page 37 and 38:
Chapter 2. Software Evolution [59,
Page 39 and 40:
Chapter 2. Software Evolution These
Page 41 and 42:
Chapter 2. Software Evolution and C
Page 43 and 44:
Chapter 2. Software Evolution Tursk
Page 45 and 46:
Chapter 2. Software Evolution nenti
Page 47 and 48:
Chapter 2. Software Evolution The o
Page 49 and 50:
Chapter 2. Software Evolution used
Page 51 and 52:
Chapter 2. Software Evolution durin
Page 53 and 54:
Chapter 2. Software Evolution added
Page 55 and 56:
Chapter 2. Software Evolution that
Page 57 and 58:
Chapter 2. Software Evolution the c
Page 59 and 60:
Chapter 2. Software Evolution The q
Page 61 and 62:
Chapter 3. Data Selection Methodolo
Page 63 and 64:
Page 65 and 66:
Page 67 and 68:
Page 69 and 70:
Page 71 and 72:
Page 73 and 74:
Page 75 and 76:
Page 77 and 78:
Page 79 and 80:
Chapter 4 Measuring Evolving Softwa
Page 81 and 82:
Chapter 4. Measuring Evolving Softw
Page 83 and 84:
Page 85 and 86:
Page 87 and 88:
Page 89 and 90:
Page 91 and 92:
Page 93 and 94:
Page 95 and 96:
Page 97 and 98:
Page 99 and 100:
Page 101 and 102:
Page 103 and 104:
Page 105 and 106:
Page 107 and 108:
Page 109 and 110:
Chapter 5 Growth Dynamics Current m
Page 111 and 112:
Chapter 5. Growth Dynamics used to
Page 113 and 114:
Chapter 5. Growth Dynamics mean, me
Page 115 and 116:
Chapter 5. Growth Dynamics bution p
Page 117 and 118:
Chapter 5. Growth Dynamics Though,
Page 119 and 120:
Chapter 5. Growth Dynamics Figure 5
Page 121 and 122:
Chapter 5. Growth Dynamics 5.2.4 Ap
Page 123 and 124:
Chapter 5. Growth Dynamics measure
Page 125 and 126:
Chapter 5. Growth Dynamics 5.3.1) [
Page 127 and 128:
Page 129 and 130:
Chapter 5. Growth Dynamics • The
Page 131 and 132:
Chapter 5. Growth Dynamics 50.0% 45
Page 133 and 134:
Chapter 5. Growth Dynamics Metric M
Page 135 and 136:
Page 137 and 138:
Chapter 5. Growth Dynamics ber of M
Page 139 and 140:
Chapter 5. Growth Dynamics Spearman
Page 141 and 142:
Chapter 5. Growth Dynamics Spearman
Page 143 and 144:
Chapter 5. Growth Dynamics as exist
Page 145 and 146:
Chapter 5. Growth Dynamics sented i
Page 147 and 148:
Chapter 5. Growth Dynamics System M
Page 149 and 150:
Chapter 5. Growth Dynamics populati
Page 151 and 152:
Chapter 5. Growth Dynamics abstract
Page 153 and 154:
Page 155 and 156:
Chapter 5. Growth Dynamics Another
Page 157 and 158:
Chapter 6 Change Dynamics It is a w
Page 159 and 160:
Chapter 6. Change Dynamics 6.1 Dete
Page 161 and 162:
Chapter 6. Change Dynamics often ma
Page 163 and 164:
Chapter 6. Change Dynamics The set
Page 165 and 166:
Chapter 6. Change Dynamics analysis
Page 167 and 168:
10 12 14 16 18 20 22 24 26 28 30 32
Page 169 and 170:
Chapter 6. Change Dynamics Age (Day
Page 171 and 172: Chapter 6. Change Dynamics erties h
Page 173 and 174: Chapter 6. Change Dynamics 100% 90%
Page 175 and 176: Chapter 6. Change Dynamics the meas
Page 177 and 178: Chapter 6. Change Dynamics 50.0% 45
Page 179 and 180: Chapter 6. Change Dynamics Figure 6
Page 181 and 182: Chapter 6. Change Dynamics new clas
Page 183 and 184: Chapter 6. Change Dynamics We obser
Page 185 and 186: Chapter 6. Change Dynamics the chan
Page 187 and 188: Chapter 6. Change Dynamics other en
Page 189 and 190: Chapter 6. Change Dynamics 6.3.4 Po
Page 191 and 192: Chapter 6. Change Dynamics stance,
Page 193 and 194: Chapter 6. Change Dynamics ing a lo
Page 195 and 196: Chapter 6. Change Dynamics Lanza et
Page 197 and 198: Chapter 6. Change Dynamics smells t
Page 199 and 200: Chapter 6. Change Dynamics growth i
Page 201 and 202: Chapter 7. Implications ically, we
Page 203 and 204: Chapter 7. Implications overall str
Page 205 and 206: Chapter 7. Implications contain new
Page 207 and 208: Chapter 7. Implications ciently bro
Page 209 and 210: Chapter 7. Implications tional supp
Page 211 and 212: Chapter 7. Implications where a sof
Page 213 and 214: Chapter 8. Conclusions • We prese
Page 215: Chapter 8. Conclusions [302], and g
Page 218 and 219: Appendix A Meta Data Collected for
Page 220 and 221: Appendix C Mapping between Metrics
Page 224 and 225: Appendix F Change Dynamics Data Fil
Page 226 and 227: References [1] S. Alam and P. Duger
Page 228 and 229: References Software. In Proceedings
Page 230 and 231: References [43] N. Chapin, J. Hale,
Page 232 and 233: References [68] M. Di Penta, L. Cer
Page 234 and 235: References [91] C. Gini. Measuremen
Page 236 and 237: References [115] I. Held. The Scien
Page 238 and 239: References [140] H. Kagdi, S. Yusuf
Page 240 and 241: References [164] M. Lanza, H. Gall,
Page 242 and 243: References [190] T. J. McCabe. A Co
Page 244 and 245: References [214] H. Olague, L. Etzk
Page 246 and 247: References [242] C. Roy, J. Cordy,
Page 248 and 249: References [266] G. Succi, W. Pedry
Page 250 and 251: References ECOOP Workshop on Quanti
Page 252: References [315] T. Zimmermann, V.
show all

thesis - Faculty of Information and Communication Technologies ...

Create successful ePaper yourself

Delete template?

Save as template?