Machine learning deals with the issue of how to build computerprograms that improve their performance at some tasks throughexperience. Machine learning algorithms have proven to be of greatpractical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile groundwhere many software development and maintenance tasks could beformulated as learning problems and approached in terms of learningalgorithms0098-5589/01/S10.00 C 2001 IEEE Fig. 1. Illustration ... able problem for many types of adequacy criteria. Insofar as ... 1999; accepted 24 Oct. 2000. ... Nevertheless, it seems unlikely that a random approach could also perform well on realistic test-generation problems, which often require an intensive manual effort. Indeedanbsp;...
Title | : | Machine Learning Applications in Software Engineering |
Author | : | Du Zhang, Jeffrey J. P. Tsai |
Publisher | : | World Scientific - 2005-01-01 |
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