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» Predicting vulnerable software components
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ICSE
2005
IEEE-ACM
14 years 7 months ago
Use of relative code churn measures to predict system defect density
Software systems evolve over time due to changes in requirements, optimization of code, fixes for security and reliability bugs etc. Code churn, which measures the changes made to...
Nachiappan Nagappan, Thomas Ball
KBSE
2010
IEEE
13 years 6 months ago
RESISTing reliability degradation through proactive reconfiguration
Situated software systems are an emerging class of systems that are predominantly pervasive, embedded, and mobile. They are marked with a high degree of unpredictability and dynam...
Deshan Cooray, Sam Malek, Roshanak Roshandel, Davi...
SIGMOD
2008
ACM
120views Database» more  SIGMOD 2008»
14 years 7 months ago
Focused iterative testing: a test automation case study
Timing-related defects are among the most difficult types of defects to catch while testing software. They are by definition difficult to reproduce and hence they are difficult to...
Mechelle Gittens, Pramod Gupta, David Godwin, Hebe...
IWPC
2009
IEEE
14 years 2 months ago
Vector space analysis of software clones
In this paper, we introduce a technique for applying Independent Component Analysis to vector space representations of software code fragments such as methods or blocks. The dista...
Scott Grant, James R. Cordy
DAC
2001
ACM
14 years 8 months ago
JouleTrack - A Web Based Tool for Software Energy Profiling
A software energy estimation methodology is presented that avoids explicit characterization of instruction energy consumption and predicts energy consumption to within 3% accuracy...
Amit Sinha, Anantha Chandrakasan