Software Measurement: Establish - Extract - Evaluate - ExecuteSpringer Science & Business Media, 2007. gada 25. jūl. - 561 lappuses Our world and our society are shaped and increasingly governed by software. Since software is so ubiquitous and embedded in nearly everything we are doing, we need to stay in control. We have to make sure that the systems and their software are running as we intend - or better. Software measurement is the discipline that assures that we stay in control. In this volume, Ebert and Dumke provide a comprehensive introduction to software measurement. They detail knowledge and experiences about software measurement in an easily understood, hands-on presentation. Brief references are embedded from world-renown experts such as Alain Abran, Luigi Buglione, Manfred Bundschuh, David N. Card, Ton Dekkers, Robert L. Glass, David A. Gustafson, Marek Leszak, Peter Liggesmeyer, Andreas Schmietendorf, Harry Sneed, Charles Symons, Ruediger Zarnekow and Horst Zuse. Many examples and case studies are provided from Global 100 companies such as Alcatel-Lucent, Atos Origin, Axa, Bosch, Deloitte, Deutsche Telekom, Shell, Siemens and Vector Consulting. This combination of methodologies and applications makes the book ideally suited for both professionals in the software industry and for scientists looking for benchmarks and experiences. 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/. |
No grāmatas satura
1.–5. rezultāts no 83.
... ......129 6.5.5 Statistical Traps and How to Avoid Them..............................133 6.5.6 Performance Indicators and Scorecards..................................141 6.5.7 Storing Measurements: The History Database...........
... (statistical) characteristic of software artifacts for making operational decisions leading to special experiences (e.g., project management, rules of thumb, assessments, and descriptions of situations). 2. Specify and achieve objectives ...
... statistical techniques. Rather than diving into lots of mathematics, it will show what you need to know to avoid errors in your measurement processes and measurement usage. Just imagine how you distinguish outliers from trends or how ...
... statistical process control and Six Sigma. While many people thought that measurements for most of us are only about tracking performance, the CMMI underlines the benefits of managing organizational, project and process performance ...
... statistical techniques. The underlying power of Plan-Do-Check-Act had been reduced in the past years to statistical process control and continuous improvement (even if Deming had envisioned a much broader scope). We hold that the ...
Saturs
1 | |
17 | |
41 | |
4 Planning the Measurement Process | 73 |
5 Performing the Measurement Process | 91 |
6 Introducing a Measurement Program | 109 |
7 Estimation of Size Effort and Cost | 165 |
8 Project Management | 199 |
11 Improving Processes and Products | 329 |
12 Controlling for IT and Software | 435 |
13 Measurement Repositories | 471 |
14 Empirical Laws and Rules of Thumb | 487 |
15 Getting yet more Information | 498 |
Glossary | 511 |
Literature | 539 |
Index | 554 |
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Software Measurement: Establish - Extract - Evaluate - Execute Christof Ebert,Reiner Dumke Priekšskatījums nav pieejams - 2007 |
Software Measurement: Establish - Extract - Evaluate - Execute Christof Ebert,Reiner Dumke Priekšskatījums nav pieejams - 2010 |