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» An Automated Framework for Structural Test-Data Generation
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ECSQARU
2005
Springer
14 years 1 months ago
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
Raffaella Guglielmann, Liliana Ironi
ISSTA
2004
ACM
14 years 28 days ago
Evolutionary testing in the presence of loop-assigned flags: a testability transformation approach
Evolutionary testing is an effective technique for automatically generating good quality test data. However, for structural testing, the technique degenerates to random testing i...
André Baresel, David Binkley, Mark Harman, ...
IICS
2010
Springer
13 years 11 months ago
An Evaluation Framework for Semantic Search in P2P Networks
: We address the problem of evaluating peer-to-peer information retrieval (P2PIR) systems with semantic overlay structure. The P2PIR community lacks a commonly accepted testbed, su...
Florian Holz, Hans Friedrich Witschel, Gregor Hein...
TPHOL
2008
IEEE
14 years 1 months ago
The Isabelle Framework
g to the well-known “LCF approach” of secure inferences as abstract datatype constructors in ML [16]; explicit proof terms are also available [8]. Isabelle/Isar provides sophis...
Makarius Wenzel, Lawrence C. Paulson, Tobias Nipko...
ICSE
2010
IEEE-ACM
14 years 8 days ago
Test generation through programming in UDITA
We present an approach for describing tests using nondeterministic test generation programs. To write such programs, we introduce UDITA, a Java-based language with non-determinist...
Milos Gligoric, Tihomir Gvero, Vilas Jagannath, Sa...