By Capers Jones
Going the place no ebook on software program dimension and metrics has formerly long past, this critique completely examines a couple of undesirable dimension practices, detrimental metrics, and large gaps and omissions within the software program literature that overlook vital issues in size. The publication covers the most important gaps and omissions that have to be crammed if information approximately software program improvement is to be beneficial for comparisons or estimating destiny projects.
Among the worse gaps are leaks in reporting approximately software program improvement efforts that, if no longer corrected, can distort facts and make benchmarks nearly dead and probably even damaging. essentially the most universal leaks is that of unpaid extra time. software program is a really labor-intensive career, and plenty of practitioners paintings very lengthy hours. even if, few businesses really checklist unpaid time beyond regulation. which means software program attempt is underreported via round 15%, that is too huge a cost to disregard. different resources of leaks comprise the paintings of part-time experts who come and move 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 blunders in measurements to allow them to advance significant benchmarks to estimate software program improvement efforts. It examines adaptations in a couple of parts 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 e-book is a kick off point for making measurements that replicate present software program improvement practices and realities to reach at significant benchmarks to steer winning software program initiatives.
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Additional info for A Guide to selecting software measures and metrics
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.
42 ◾ A Guide to Selecting Software Measures and Metrics difficult to study this situation without interviewing development teams. 3 shows the probable impact of unpaid overtime. Unpaid overtime is seldom measured, and this causes problems for estimation and also with using historical data as benchmarks. The missing unpaid overtime can make as much as 15% of total effort invisible! 5 is a standard SRM output and shows the impact of unpaid overtime on project costs for a project of 1,000 function points or 53,333 Java statements.
Variations in Occupation Groups, Staff Size, Team Experience ◾ 39 occupation groups, the Rayleigh curves are not a perfect fit but are still a useful concept. Incidentally, the agile concept of pair programming is an existence proof that doubling staff size does not cut elapsed time in half. In fact, some pair-programming projects take longer than the same number of function points developed by a single programmer! The literature on pair programming is woefully inadequate because it only compares individual programmers to pairs and ignores other factors such as inspections, static analysis, automated proofs, requirements models, and many other modern quality techniques.