Best Practices in Software Measurement: How to Use Metrics to Improve Project and Process Performance ; 37 TablesSpringer Science & Business Media, 2005 - 295 lappuses The software business is challenging enough without having to contend with recurring errors. One way repeating errors can be avoided is through effective software measurement. In this volume, Ebert and his co-authors offer practical guidance built upon insight and experience. They detail knowledge and experiences about software measurement in an easily understood, hands-on presentation and explain such current standards as: ISO 15939 (the general measurement standard), ISO 19761 (the COSMIC Full Function Points standard), and CMMI (the Capability Maturity Model). Coverage also includes several case studies, from Global 100 companies such as Alcatel, Deutsche Telekom, and Siemens.This combination of methodologies and applications makes the book ideally suited for professionals in the software industry. Besides the many practical hints and checklists readers will also appreciate the large reference list, which includes links to metrics communities where project experiences are shared. Further information, continuously updated, can also be found on the web site related to this book: http://metrics.cs.uni-magdeburg.de |
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1.–5. rezultāts no 59.
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... Selection and Definition .......... 5.3 5.4 5.6 5.7 Roles and Responsibilities in a Measurement Program .. Building History Data .......... Positive and Negative Aspects of Software Measurement It is People not Numbers ! ....... Counter ...
... Selection and Definition .......... 5.3 5.4 5.6 5.7 Roles and Responsibilities in a Measurement Program .. Building History Data .......... Positive and Negative Aspects of Software Measurement It is People not Numbers ! ....... Counter ...
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Saturs
I | 1 |
II | 9 |
IV | 13 |
V | 17 |
VI | 20 |
VII | 22 |
VIII | 24 |
IX | 26 |
XC | 160 |
XCI | 163 |
XCII | 166 |
XCIII | 168 |
XCIV | 169 |
XCV | 170 |
XCVI | 173 |
XCVII | 174 |
X | 27 |
XI | 29 |
XII | 32 |
XIII | 35 |
XV | 36 |
XVII | 38 |
XVIII | 40 |
XIX | 42 |
XX | 43 |
XXI | 45 |
XXIII | 47 |
XXIV | 49 |
XXVI | 50 |
XXVIII | 51 |
XXIX | 54 |
XXXI | 55 |
XXXII | 56 |
XXXIII | 61 |
XXXIV | 63 |
XXXVII | 66 |
XXXVIII | 68 |
XXXIX | 69 |
XL | 72 |
XLI | 75 |
XLII | 76 |
XLIII | 79 |
XLIV | 81 |
XLVII | 82 |
XLVIII | 83 |
XLIX | 84 |
L | 86 |
LI | 90 |
LII | 93 |
LIII | 94 |
LIV | 95 |
LVI | 96 |
LVII | 100 |
LVIII | 103 |
LIX | 106 |
LX | 107 |
LXI | 108 |
LXIII | 109 |
LXIV | 111 |
LXV | 113 |
LXVII | 114 |
LXVIII | 115 |
LXX | 118 |
LXXI | 124 |
LXXII | 126 |
LXXIII | 130 |
LXXIV | 131 |
LXXV | 133 |
LXXVII | 135 |
LXXVIII | 137 |
LXXIX | 138 |
LXXX | 140 |
LXXXI | 142 |
LXXXII | 144 |
LXXXIII | 146 |
LXXXIV | 148 |
LXXXV | 150 |
LXXXVI | 154 |
LXXXVII | 155 |
LXXXVIII | 157 |
XCVIII | 175 |
XCIX | 177 |
C | 179 |
CI | 181 |
CIII | 183 |
CIV | 184 |
CV | 185 |
CVI | 187 |
CVII | 189 |
CVIII | 190 |
CIX | 192 |
CX | 193 |
CXII | 194 |
CXIII | 195 |
CXIV | 198 |
CXVI | 199 |
CXVII | 201 |
CXVIII | 203 |
CXX | 204 |
CXXI | 206 |
CXXII | 207 |
CXXIII | 209 |
CXXV | 210 |
CXXVI | 211 |
CXXVII | 212 |
CXXVIII | 213 |
CXXIX | 214 |
CXXX | 216 |
CXXXI | 217 |
CXXXIII | 218 |
CXXXIV | 221 |
CXXXV | 222 |
CXXXVI | 223 |
CXXXVIII | 225 |
CXL | 226 |
CXLI | 229 |
CXLII | 230 |
CXLIV | 231 |
CXLV | 233 |
CXLVI | 234 |
CXLVII | 235 |
CXLVIII | 236 |
CXLIX | 237 |
CL | 238 |
CLI | 239 |
CLII | 241 |
CLIV | 242 |
CLV | 243 |
CLVII | 244 |
CLVIII | 251 |
CLIX | 254 |
CLX | 256 |
CLXI | 259 |
CLXIV | 260 |
CLXV | 261 |
CLXVII | 262 |
CLXVIII | 265 |
CLXIX | 266 |
CLXXI | 267 |
CLXXIII | 268 |
CLXXIV | 269 |
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Citi izdevumi - Skatīt visu
Best Practices in Software Measurement: How to use metrics to improve ... Christof Ebert,Reiner Dumke,Manfred Bundschuh,Andreas Schmietendorf Ierobežota priekšskatīšana - 2005 |
Best Practices in Software Measurement: How to Use Metrics to Improve ... Christof Ebert Ierobežota priekšskatīšana - 2005 |
Bieži izmantoti vārdi un frāzes
achieve activities analysis analyzed application approach aspects assessment benchmarks Capability Maturity Model Chap CMMI complete components cost of non-quality customer satisfaction cycle decisions defect detection defined effort ensure environment estimation evaluation experience faults goals hardware identified IFPUG implementation integration interfaces ISBSG ject KStmt Logiscope maintenance maturity measurement process measurement program ment methods metrics database metrics organizations metrics program metrics tools module test objectives operation parameters performance phase planning portfolio prediction process improvement project control project management reliability reports requirements risk selection service level agreements software development process software engineering software maintenance software measurement software metrics software process software projects software system solutions specific standard static code analysis targets tasks techniques timation tion tool support tracking typically users Web service workflow WSDL WSLA
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