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» On predicting reliability of modules using code coverage
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PROMISE
2010
14 years 9 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
BMCBI
2007
147views more  BMCBI 2007»
15 years 2 months ago
Improved residue contact prediction using support vector machines and a large feature set
Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
Jianlin Cheng, Pierre Baldi
ICIP
2005
IEEE
16 years 4 months ago
Combined error protection and compression using turbo codes for error resilient image transmission
A joint source channel coding scheme for error resilient image transmission is proposed. A practical image coder was introduced in [1] using modified Differential Pulse Coded Modu...
Anna N. Kim, Stefania Sesia, Tor A. Ramstad, Giuse...
117
Voted
ICSE
2008
IEEE-ACM
16 years 2 months ago
Continuous software quality supervision using SourceInventory and Columbus
Several tools and methods for source code quality assurance based on static analysis finally reached a state when they are applicable in practice and recognized by the industry. H...
Árpád Beszédes, Rudolf Ferenc...
103
Voted
AI
2009
Springer
15 years 9 months ago
Exploratory Analysis of Co-Change Graphs for Code Refactoring
Abstract. Version Control Systems (VCS) have always played an essential role for developing reliable software. Recently, many new ways of utilizing the information hidden in VCS ha...
Hassan Khosravi, Recep Colak