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» Using a neural network in the software testing process
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BMCBI
2008
137views more  BMCBI 2008»
15 years 4 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
ISSTA
2004
ACM
15 years 9 months ago
Covering arrays for efficient fault characterization in complex configuration spaces
—Many modern software systems are designed to be highly configurable so they can run on and be optimized for a wide variety of platforms and usage scenarios. Testing such systems...
Cemal Yilmaz, Myra B. Cohen, Adam A. Porter
ICSE
2004
IEEE-ACM
16 years 4 months ago
Skoll: Distributed Continuous Quality Assurance
Quality assurance (QA) tasks, such as testing, profiling, and performance evaluation, have historically been done in-house on developer-generated workloads and regression suites. ...
Atif M. Memon, Adam A. Porter, Cemal Yilmaz, Adith...
PRL
2008
137views more  PRL 2008»
15 years 3 months ago
On-line handwritten digit recognition based on trajectory and velocity modeling
The handwriting is one of the most familiar communication media. Pen based interface combined with automatic handwriting recognition offers a very easy and natural input method. T...
Monji Kherallah, Lobna Haddad, Adel M. Alimi, Amar...
TOOLS
2000
IEEE
15 years 7 months ago
Applying the Lessons of eXtreme Programming
Although eXtreme Programming has been explained by Kent Beck[1], there are many benefits to adopting eXtreme Programming (XP) practices in other development processes. The benefit...
Pete McBreen