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ICSE
2010
IEEE-ACM
14 years 20 days ago
An eclectic approach for change impact analysis
Change impact analysis aims at identifying software artifacts being affected by a change. In the past, this problem has been addressed by approaches relying on static, dynamic, a...
Michele Ceccarelli, Luigi Cerulo, Gerardo Canfora,...
BMCBI
2011
12 years 11 months ago
ENGINES: exploring single nucleotide variation in entire human genomes
Background: Next generation ultra-sequencing technologies are starting to produce extensive quantities of data from entire human genome or exome sequences, and therefore new softw...
Jorge Amigo, Antonio Salas, Christopher Phillips
BMCBI
2006
134views more  BMCBI 2006»
13 years 8 months ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
BMCBI
2006
169views more  BMCBI 2006»
13 years 8 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
INTERACT
2003
13 years 9 months ago
Classification of Usability Problems (CUP) Scheme
: Defect classification can improve product quality and motivate process improvement. Several defect classification schemes have been developed and used with good results in softwa...
Ebba Thora Hvannberg, Effie Lai-Chong Law