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This is a reproduction of a book published before 1923. This book
may have occasional imperfections such as missing or blurred pages,
poor pictures, errant marks, etc. that were either part of the
original artifact, or were introduced by the scanning process. We
believe this work is culturally important, and despite the
imperfections, have elected to bring it back into print as part of
our continuing commitment to the preservation of printed works
worldwide. We appreciate your understanding of the imperfections in
the preservation process, and hope you enjoy this valuable book.
++++ The below data was compiled from various identification fields
in the bibliographic record of this title. This data is provided as
an additional tool in helping to ensure edition identification:
++++ Martin Rinkarts Geistliche Lieder Nebst Einer In Verbindung
Mit Heinrich Rembe Aus Eisleben Nach Den Quellen Bearbeiteten
Darstellung Des Lebens Und Der Werke Des Dichters Martin Rinckart,
Johannes Linke Perthes, 1886
Software testing is indispensable and is one of the most discussed
topics in software development today. Many companies address this
issue by assigning a dedicated software testing phase towards the
end of their development cycle. However, quality cannot be tested
into a buggy application. Early and continuous unit testing has
been shown to be crucial for high quality software and low defect
rates. Yet current books on testing ignore the developer's point of
view and give little guidance on how to bring the overwhelming
amount of testing theory into practice. Unit Testing in Java
represents a practical introduction to unit testing for software
developers. It introduces the basic test-first approach and then
discusses a large number of special issues and problem cases. The
book instructs developers through each step and motivates them to
explore further.
*Shows how the discovery and avoidance of software errors is a
demanding and creative activity in its own right and can build
confidence early in a project.
*Demonstrates how automated tests can detect the unwanted effects
of small changes in code within the entire system.
*Discusses how testing works with persistency, concurrency,
distribution, and web applications.
*Includes a discussion of testing with C++ and Smalltalk.
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