Best Practices in Software Measurement: How to use metrics to improve project and process performance [German]

By Andreas Schmietendorf, Reiner Dumke, Christof Ebert, et al.

Not everything that counts can be counted. Not everything that is counted counts. Albert Einstein This is a book about software measurement from the practitioner s point of view and it is a book for... This description may be from another edition of this product.

• Format: Hardcover
• Language: German
• ISBN: 3540208674
• ISBN13: 9783540208679
• Release Date: November 2004
• Publisher: Springer
• Length: 296 Pages
• Weight: 1.25 lbs.
• Dimensions: 9.5" x 1.0" x 6.3"

Customer Reviews

Interesting and needed book....

Fortunatelly there are new books coming about this topic. In this case, the books settles a very good ground defining the purposes and goals that a software measuremet program should cover. I differentiate two clear parts: A) In a first part (from chapter 1 to 11) the authors cover from the need of a improvement program of this nature to the kind of tool (even defining its architecture) to support this initiative, including some incursions in the basics of some particular metrics (defects tracking, reliability, project managing, etc), but without the mathematics that hide the basics ideas of other books. B) In the second part, from chapter 12 to 15, they exposed the application of these kind of improvement initiatives in some big companies. In some sense, these last chapters are isolated and included like separated papers. Special mention for the last chapter where can be found many of the most reputated organizations (international) related to the software metrics as well as the basic standards associated to the software improvement. Compared to these other recent books about this same topic, I found very weak their treatment about the kind of statistical analysis that is possible to perform (and desiderable) with the software metrics. And also, the tools to perform the analysis (they only mention: Excel and SPSS) when other open-source software (like R: www.r-project.org) is capable of doing an equivalent job (if not better) that these tools. In the very positive side, I found very insteresting and ilustrative the great level of detail they provide in terms of benchmarking for the most basic metrics (Chapter 9. Defect Detection and Quality Improvement). Summary: Good book, in a once again emerging and needed topic. Carlos Ortega Spain-Madrid.