Information Technology Reference
In-Depth Information
• Defect potentials: 2.50 defects per function point
• Defect removal efficiency (DRE): 96%
• Delivered defects: 0.10 defects per function point
• Ratio of development personnel to maintenance:
•
Development: 30%
•
Maintenance: 70%
The following are the projected background data for 2015:
• Average language level: 12.00
• Number of programming languages: 4,500
• Logical statements per function point: 26.67
• Average application size: 400 function points
• Average application size: 10,688 logical code statements
Software development in this decade experienced a rapid surge toward Agile
development, but other methods such as RUP and TSP also produce good results.
Summary
In this decade, clouds and crowds account for the largest numbers of startup
companies. Cloud computing will certainly continue to grow. Crowdfunding and
crowd intelligence show promise, but it is hard to determine what issues they
handle well and what issues they don't handle well.
Predictive analytics also has a large number of startups, some of which seem to
be growing rapidly. This field is synergistic and congruent with big data and intel-
ligent agents. In fact, the sum of the value of these three working together is far
greater than if they are used independently.
Specialized social networks are beginning to appear, with musicians and au-
thors being among the first of the specialties. For example, a recent Google search
came up with 25 different social networks oriented toward musicians. An interest-
ing one for authors, named “Predators and Editors,” warns against unscrupulous
publishers and literary agents. It can be expected that many other kinds will fol-
low.
While Agile has grown faster than other development methods (and waterfall
has shrunk faster), hybrid methods are gaining in popularity. Because all of the
major methods have some topics that are useful, it is a useful idea to try and select
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