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The argument goes: software vendors sell software The products they sell must maintain a standard of high quality or customers won t buy them Open source software is not under any such pressure and therefore is not tested as stringently as commercial proprietary software This argument is very compelling In fact, it sings to the hearts of all information technology acquisition agents They are convinced paying for something means it is more reliable and freer of defects than software that can be acquired without a fee Unfortunately, these individuals are overlooking one important concept of open source software Open source software is developed by a global community of developers, many of whom consider their role as defect detectives (testers) These individuals pride themselves on finding and reporting defects In some cases, open source software companies have offered rewards for developers who find repeatable bugs.

Note Some functional languages such as Haskell place strong emphasis on equational reasoning principles. In

type Point3D = { X: float; Y: float; Z: float } let p1 = { X=3.0; Y=4.0; Z=5.0 } > let p2 = { p1 with Y=0.0; Z=0.0 };; val p2 : Point3D The definition of p2 is identical to this: let p2 = { X=p1.X; Y=0.0; Z=0.0 } This expression form does not mutate the values of a record, even if the fields of the original record are mutable.

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MySQL AB offers a significant reward for finding bugs in their MySQL database system At the time of this writing, MySQL AB was offering a free Apple iPod nano to anyone who finds a repeatable bug in their software Now, that s an incentive! It is true that software vendors employ software testers (and no doubt they are the best in their field), but more often than not commercial software projects are pushed toward a specific deadline These deadlines are put in place to ensure a strategic release date or competitive advantage Many times these deadlines force software vendors to compromise on portions of their software development process which is usually the later part: testing As you can imagine, reducing a tester s access to the software (testing time) means they will find fewer defects.

F#, equational reasoning is slightly less important; however, it still forms an essential part of understanding what functional programming brings to the arena of design methodology.

The second kind of concrete type definition we look at in this section is a discriminated union. Here is a very simple example: type type type type Route = int Make = string Model = string Transport = | Car of Make * Model | Bicycle | Bus of Route

Open source software companies, by enlisting the help and support of the global community of developers, ensure that their software is tested more often by more people Therefore, open source software is tested more than commercial software..

Applying the .NET Library Design Guidelines to F#

Each alternative of a discriminated union is called a discriminator. You can build values simply by using the discriminator much as if it were a function: > let nick = Car("BMW","360");; val nick : Transport > let don = [ Bicycle; Bus 8 ];; val don : Transport list > let james = [ Car ("Ford","Fiesta"); Bicycle ];; val james : Transport list You can also use discriminators in pattern matching: let averageSpeed (tr: Transport) = match tr with | Car _ -> 35 | Bicycle -> 16 | Bus _ -> 24 Several of the types you ve already met are defined as discriminated unions. For example, the 'a option type is defined as follows:

Myth 4: Commercial Proprietary Systems Have More Complex Capabilities and More Complete Feature Sets Than Open Source Systems

This section presents some additional recommendations for applying the .NET Library Design Guidelines to F# programming. We do this by making a series of recommendations that can be read as extensions to these guidelines.

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