By Capers Jones
Going the place no ebook on software program dimension and metrics has formerly long gone, this critique completely examines a few undesirable size practices, harmful metrics, and large gaps and omissions within the software program literature that overlook vital themes in dimension. The booklet covers the foremost gaps and omissions that must be stuffed if information approximately software program improvement is to be priceless for comparisons or estimating destiny projects.
Among the worse gaps are leaks in reporting approximately software program improvement efforts that, if now not corrected, can distort information and make benchmarks virtually dead and probably even damaging. probably the most universal leaks is that of unpaid additional time. software program is a truly labor-intensive profession, and plenty of practitioners paintings very lengthy hours. besides the fact that, few businesses truly checklist unpaid time beyond regulation. which means software program attempt is underreported via round 15%, that's too huge a cost to disregard. different resources of leaks contain the paintings of part-time experts who come and cross as wanted. There are dozens of those experts, and their mixed attempt can best forty five% of overall software program attempt on huge projects.
The booklet is helping software program venture managers and builders discover mistakes in measurements to allow them to improve significant benchmarks to estimate software program improvement efforts. It examines adaptations in a couple of components that come with:
- Programming languages
- Development methodology
- Software reuse
- Functional and nonfunctional requirements
- Industry type
- Team measurement and experience
Filled with tables and charts, this publication is a kick off point for making measurements that replicate present software program improvement practices and realities to reach at significant benchmarks to lead winning software program tasks.
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Additional info for A Guide to selecting software measures and metrics
S. software, market local work hours per calendar month also need to be included. 6). These factors are all intertwined and have simultaneous impacts. S. software would be small teams of experts working more than 150 hours per month who put in perhaps 12 hours of unpaid overtime per month. 5 Series1 1,200,000 1,250,000 1,300,000 1,350,000 1,400,000 Project costs with monthly unpaid overtime hours Impact of unpaid overtime on software project costs. 6 50 100 150 200 250 Typical work hours per month by country.
Software quality conferences often have entertaining speakers, but suffer from a shortage of factual information and solid quantitative data about methods to reduce defect potentials and raise DRE. There are some excellent published books on software quality, but only a few of these have sold more than a few thousand copies in an industry with millions of practitioners. For example, Paul Strassmann’s book on The Squandered Computer (1997) covers software economic topics quite well. Steve Kan’s book on Metrics and Models in Software Quality Engineering (2002) does an excellent job on quality metrics and measures; Mike Harris, David Herron, and Stasia Iwanacki’s book on The Business Value of IT (2008) is another solid title with software economic facts; Alain Abran’s book on Software Metrics and Metrology (2010) covers functional metrics; Olivier Bonsignour and the author’s book on The Economics of Software Quality (2012) have quantified data on the effectiveness of various methods, tools, and programming languages.
A small project of 100 function points might have three occupation groups and perform eight activities: that results in 24 combinations that need to be predicted or measured. A large system of 10,000 function points might have 20 occupation groups and perform 25 activities. This results in a total of 500 combinations that need to be predicted or measured. Even worse, some activities require many occupation groups, whereas others require only a few or even one. The total permutations can run into the billions of potential combinations!