Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!zaphod.mps.ohio-state.edu!mips!spool.mu.edu!uwm.edu!bionet!agate!usenet.ins.cwru.edu!abvax!iccgcc!kambic From: kambic@iccgcc.decnet.ab.com (George X. Kambic, Allen-Bradley Inc.) Newsgroups: comp.software-eng Subject: Message-ID: <4375.2817f371@iccgcc.decnet.ab.com> Date: 26 Apr 91 14:31:29 GMT References: <36650004@hpopd.pwd.hp.com> <601@tivoli.UUCP> Lines: 19 In article <601@tivoli.UUCP>, alan@tivoli.UUCP (Alan R. Weiss) writes: > In article <36650004@hpopd.pwd.hp.com> daves@hpopd.pwd.hp.com (Dave Straker) writes: >>On measuring complexity... >> >>Before you measure anything, you should ask: Why am I doing this? >>What am I going to do with the information? What questions will >>it help answer? What decisions will it help me make? Note also that the answers you get may not be what you expect because the actual metrics may be answering other questions. Metrics aren't orthogonal. They are subject to improvement processes just like the software process itself. In other words, ask some questions, get some data, do some analysis, learn, and then repeat, repeat, repeat. Improve the process, and the metrics, and .......(wheels within wheels within wheels.....). GXKambic standard disclaimer.