The k-nearest neighbor rule is one of the simplest and most attractive pattern classification algorithms. However, it faces serious challenges when patterns of different classes...
In this paper, we propose to develop the supervised classification method Fuzzy Pattern Matching to be in addition a non supervised one. The goal is to monitor dynamic systems with...
The book covers the following topics: Values, Types, Functions, Case Expressions and Pattern Matching, Type Classes and Overloading, Input/Output, Standard Haskell Classes
Monads,...
This paper presents a state-based approach to testing aspect-oriented programs. Aspectual state models, as an extension to the testable FREE state model of classes, are exploited ...
During software evolution, adaptive, and corrective maintenance are common reasons for changes. Often such changes cluster around key components. It is therefore important to anal...
James M. Bieman, Anneliese Amschler Andrews, Helen...