TY - BOOK ID - 208153 TI - Best practices in software measurement : how to use metrics to improve project and process performance PY - 2005 SN - 1280235225 9786610235223 3540267344 PB - Berlin : Springer-Verlag, DB - UniCat KW - Software measurement. KW - Software engineering. KW - Computer software engineering KW - Engineering KW - Computer software measurement KW - Measurement, Software KW - Metrics, Software KW - Software engineering metrics KW - Software metrics KW - Software engineering KW - Information Systems. KW - Management. KW - Software Engineering. KW - Management of Computing and Information Systems. KW - Innovation/Technology Management. KW - Administration KW - Industrial relations KW - Organization KW - Management information systems. KW - Computer science. KW - Industrial management. KW - Business administration KW - Business enterprises KW - Business management KW - Corporate management KW - Corporations KW - Industrial administration KW - Management, Industrial KW - Rationalization of industry KW - Scientific management KW - Management KW - Business KW - Industrial organization KW - Informatics KW - Science KW - Computer-based information systems KW - EIS (Information systems) KW - Executive information systems KW - MIS (Information systems) KW - Sociotechnical systems KW - Information resources management KW - Communication systems UR - https://www.unicat.be/uniCat?func=search&query=sysid:208153 AB - 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 practitioners. Software measurement needs a lot of practical guidance to build upon experiences and to avoid repeating errors. This book t- gets exactly this need, namely to share experiences in a constructive way that can be followed. It tries to summarize experiences and knowledge about software measurement so that it is applicable and repeatable. It extracts experiences and lessons learned from the narrow context of the specific industrial situation, thus facilitating transfer to other contexts. Software measurement is not at a standstill. With the speed software engine- ing is evolving, software measurement has to keep pace. While the underlying theory and basic principles remain invariant in the true sense (after all, they are not specific to software engineering), the application of measurement to specific contexts and situations is continuously extended. The book thus serves as a ref- ence on these invariant principles as well as a practical guidance on how to make software measurement a success. ER -