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» The data mining approach to automated software testing
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DAC
2003
ACM
15 years 11 months ago
A scalable software-based self-test methodology for programmable processors
Software-based self-test (SBST) is an emerging approach to address the challenges of high-quality, at-speed test for complex programmable processors and systems-on chips (SoCs) th...
Li Chen, Srivaths Ravi, Anand Raghunathan, Sujit D...
BMCBI
2006
174views more  BMCBI 2006»
14 years 10 months ago
Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...
ICSM
2007
IEEE
15 years 4 months ago
Indexing Noncrashing Failures: A Dynamic Program Slicing-Based Approach
Recent software systems usually feature an automated failure reporting component, with which a huge number of failures are collected from software end-users. With a proper support...
Xiangyu Zhang Chao Liu, Yu Zhang, Jiawei Han, Bhar...
BMCBI
2008
173views more  BMCBI 2008»
14 years 10 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
TPHOL
2009
IEEE
15 years 4 months ago
Formalising FinFuns - Generating Code for Functions as Data from Isabelle/HOL
Abstract. FinFuns are total functions that are constant except for a finite set of points, i.e. a generalisation of finite maps. We formalise them in Isabelle/HOL and present how...
Andreas Lochbihler