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» Predicting Effectiveness of Automatic Testing Tools
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OOPSLA
2010
Springer
14 years 8 months ago
Random testing for higher-order, stateful programs
Testing is among the most effective tools available for finding bugs. Still, we know of no automatic technique for generating test cases that expose bugs involving a combination ...
Casey Klein, Matthew Flatt, Robert Bruce Findler
BMCBI
2004
94views more  BMCBI 2004»
14 years 9 months ago
GASP: Gapped Ancestral Sequence Prediction for proteins
Background: The prediction of ancestral protein sequences from multiple sequence alignments is useful for many bioinformatics analyses. Predicting ancestral sequences is not a sim...
Richard J. Edwards, Denis C. Shields
BMCBI
2005
121views more  BMCBI 2005»
14 years 9 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown
INFSOF
2007
139views more  INFSOF 2007»
14 years 9 months ago
Predicting software defects in varying development lifecycles using Bayesian nets
An important decision problem in many software projects is when to stop testing and release software for use. For many software products, time to market is critical and therefore ...
Norman E. Fenton, Martin Neil, William Marsh, Pete...
BMCBI
2010
147views more  BMCBI 2010»
14 years 10 months ago
Automatic detection of anchor points for multiple sequence alignment
Background: Determining beforehand specific positions to align (anchor points) has proved valuable for the accuracy of automated multiple sequence alignment (MSA) software. This f...
Florian Pitschi, Claudine Devauchelle, Eduardo Cor...