From mboxrd@z Thu Jan 1 00:00:00 1970 X-Spam-Checker-Version: SpamAssassin 3.4.4 (2020-01-24) on polar.synack.me X-Spam-Level: X-Spam-Status: No, score=-1.9 required=5.0 tests=BAYES_00,FREEMAIL_FROM autolearn=unavailable autolearn_force=no version=3.4.4 X-Received: by 10.42.29.129 with SMTP id r1mr22826438icc.29.1416061471199; Sat, 15 Nov 2014 06:24:31 -0800 (PST) X-Received: by 10.140.81.169 with SMTP id f38mr28135qgd.3.1416061471054; Sat, 15 Nov 2014 06:24:31 -0800 (PST) Path: eternal-september.org!reader01.eternal-september.org!reader02.eternal-september.org!news.eternal-september.org!mx02.eternal-september.org!feeder.eternal-september.org!news.glorb.com!h15no681046igd.0!news-out.google.com!m4ni193qag.1!nntp.google.com!u7no1839713qaz.1!postnews.google.com!glegroupsg2000goo.googlegroups.com!not-for-mail Newsgroups: comp.lang.ada Date: Sat, 15 Nov 2014 06:24:30 -0800 (PST) In-Reply-To: Complaints-To: groups-abuse@google.com Injection-Info: glegroupsg2000goo.googlegroups.com; posting-host=50.111.77.1; posting-account=Ies7ywoAAACcdHZMiIRy0M84lcJvfxwg NNTP-Posting-Host: 50.111.77.1 References: User-Agent: G2/1.0 MIME-Version: 1.0 Message-ID: Subject: Re: software metrics From: brbarkstrom@gmail.com Injection-Date: Sat, 15 Nov 2014 14:24:31 +0000 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable Xref: news.eternal-september.org comp.lang.ada:23375 Date: 2014-11-15T06:24:30-08:00 List-Id: >=20 >=20 > Thank you all, > Patrizia >=20 >=20 You might take a look at Barry Boehm's books on Software Cost Estimation [the classic is Software Engineering Economics, 1981; the newer version is Software Cost Estimation with COCOMO II, 2000]. The competitor is Capers-Jones with his Function Point Analysis. He was big on metrics that would demonstrate his approach was better than anybody else's. =20 You might find McConnell, S., 1996: Rapid Development: Taming Wild Software= =20 Schedules, Microsoft Press of some help. You might also take a look at the= =20 work Harlan Mills did (either Google or try Amazon to get a book list). Metrics that relate to the number of errors are probably useful. There is some work on that for Ada versus other languages, but I don't have a specif= ic reference. You might try `software error rate' or similar phrases on Googl= e.=20 As far as I can tell, software metrics has become a rather pass=E9 topic. OTOH, the GNAT GPS tool computes a relatively large number of metrics. I haven't experimented with languages other than Ada, but I occasionally track my own programming by running the metrics to get SLOC and number of l= ines per unit. There are others, such as cyclometric complexity and related measures, but I'm not doing really big projects right now. Bruce B.