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» Modeling the Experimental Software Engineering Process
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TCOM
2010
98views more  TCOM 2010»
14 years 9 months ago
Convolutionally Coded Transmission over Markov-Gaussian Channels: Analysis and Decoding Metrics
It has been widely acknowledged that the aggregate interference at the receiver for various practical communication channels can often deviate markedly from the classical additive ...
Jeebak Mitra, Lutz H.-J. Lampe
135
Voted
ICSE
2007
IEEE-ACM
16 years 2 months ago
Feedback-Directed Random Test Generation
We present a technique that improves random test generation by incorporating feedback obtained from executing test inputs as they are created. Our technique builds inputs incremen...
Carlos Pacheco, Shuvendu K. Lahiri, Michael D. Ern...
119
Voted
UIST
2010
ACM
15 years 12 days ago
Designing adaptive feedback for improving data entry accuracy
Data quality is critical for many information-intensive applications. One of the best opportunities to improve data quality is during entry. USHER provides a theoretical, data-dri...
Kuang Chen, Joseph M. Hellerstein, Tapan S. Parikh
99
Voted
DAC
2001
ACM
16 years 3 months ago
MetaCores: Design and Optimization Techniques
Currently, hardware intellectual property (IP) is delivered at vels of abstraction: hard, firm, and soft. In order to further enhance performance, efficiency, and flexibility of I...
Seapahn Meguerdichian, Farinaz Koushanfar, Advait ...
WWW
2003
ACM
16 years 3 months ago
Techniques and Metrics for Improving Website Structure
In this work two distinct metrics are proposed, which aim to quantify the importance of a web page based on the visits it receives by the users and its location within the website...
Eleni Christopoulou, John D. Garofalakis, Christos...