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Anecdotal evidence indicates that functional programming frequently leads to a substantially reduced bug rate for good programmers. This is primarily because programs built using functional techniques tend to be highly compositional, building correct programs out of correct building blocks. The functional programming style avoids or substantially reduces the use of side effects in the program, one property that makes programs more compositional. However, debugging and testing are still essential activities to ensure that a program is as close as possible to its specifications. Bugs and misbehaviors are facts of life, and F# programmers must learn techniques to find and remove them. As a result, software testing is an important activity when you re developing large systems. Tests are initially carried out by writing small programs and interactively running them, but a larger infrastructure quickly becomes necessary as a system grows and as new functionalities must preserve the existing ones. This chapter discusses how you can perform testing with F# using F# Interactive, using the debugging facilities provided by Visual Studio and the .NET infrastructure, and using the NUnit framework for unit testing. A widely adopted debugging technique is the do-it-yourself-by-augmenting-your-program-withprintf approach. However, this technique suffers from several problems; although it s useful, it shouldn t be the only technique you re prepared to apply to the complexities associated with program testing and debugging. You can use several strategies to test programs and ensure that they behave as expected. The testing theory developed by software engineering has introduced several techniques used every day in software development. This chapter focuses on three aspects of program debugging and testing with F#: Using the Visual Studio debugger and the .NET debugging framework Using F# Interactive for testing and debugging Doing unit testing using NUnit, a freely available framework for unit testing

We give some specific suggestions on designing NET and F# libraries, including naming conventions, how to design types and modules, and guidelines for using exceptions F# is often seen as a functional language, but, as we have emphasized in this book, it is in reality a multiparadigm language; the OO, functional, imperative, and language-manipulation paradigms are all well supported That is, F# is a function-oriented language many of the defaults are set up to encourage functional programming, but programming in the other paradigms is effective and efficient, and a combination is often best of all A multiparadigm language brings challenges for library designs and coding conventions It is a common misconception that the functional and object-oriented programming methodologies are competing; it fact, they are largely orthogonal.

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Most database systems use one form or another of the B-tree in their indexing mechanisms These tree algorithms provide very fast search speeds without requiring a large memory space During the execution of the query, interpretative query execution methods access the assigned index mechanism and request the data via the access method specified The execution methods then read the data, typically a record at a time; analyze the query for a match to the predicate by evaluating the expressions; and then pass the data through any transformations and finally on to the transmission portion of the server to send the data back to the client..

Alternative tools for debugging and unit testing are available, such as the .NET debugger that ships with the .NET Framework and the testing framework included in some Visual Studio flavors. The concepts behind these tools are similar to those presented here, and the techniques discussed in this chapter can be easily adapted when using them. All these techniques and tools are very helpful, but it s important to remember that these are just tools and you must use them in the appropriate way.

However, it is important to note that functional programming does not directly solve many of the practical and prosaic issues associated with practical library design for solutions to these problems, we must turn elsewhere In the context of NET programming, this means turning first to the NET Library Design Guidelines, published online by Microsoft and as a book by Addison-Wesley In the official documents, the NET library design is described in terms of conventions and guidelines for the use of the following constructs in public framework libraries: Assemblies, namespaces, and types (see s 6 and 7 in this book) Classes and objects, containing properties, methods, and events (see 6) Interfaces (in other words, object interface types; see 6).

Once all of the tuples in the tables referenced in the query have been processed, the tuples are returned to the client following the same (although sometimes alternative) communication pathways. The tuples are then passed on to the ODBC connector for encapsulation and presentation to the client application.

Note Visual Studio 2008 Team System introduced support for unit testing integrated in the UI for programming

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