| Towards Meaningful Metrics Data Bases Towards Meaningful Metrics Data Bases (2008) | |||||||||||||||||
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| The importance of measuring artifacts emerging during the software development process is beyond controversy not only for economic purposes, these days. To expand those data towards empirical series of measurement and thus to benefit from it in the long-run, a structured and persistent acquisition is almost compulsory. Renowned proposals for measurement programs and models to assess an organization’s measurement capability describe the prominence of measurements and suppose the usage of appropriate metrics data bases in different fields of application. But, analogous to common project management or process frameworks they leave organizations alone in providing guidelines or standards for the collection process, too. So we propose a Metrics Data Base Maturity Model (MDB MM) bearing the potential to appraise an organization’s measurement collection process ’ maturity and to expose leverage points for its improvement. Withal, the conceived MDB MM has its seeds in a field study concerning prevalent metrics data bases in practice to characterize their status quo as well as commonly applied infrastructures, on the one hand. On the other hand, it strongly avails itself of an investigation in factors influencing and MDB’s maturity thereby not abstracting away from accepted frameworks like CMMI, V-Modell ® XT, or Measurement-CMM. As a result, the MDB MM enables us to appraise measurement collection process maturity with the aid of a maturity scale similar to that of CMMI-SE/SW simultaneously suggesting ways for improvement. | |||||||||||||||||
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