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» Improving Software Robustness with Dependability Cases
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BMCBI
2006
165views more  BMCBI 2006»
13 years 7 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
ICSM
2002
IEEE
14 years 15 days ago
The Information Gathering Strategies of Software Maintainers
In examining software maintenance processes for improvement opportunities, an obvious choice is information flow. Obtaining accurate, up-to-date, and useful information about a sy...
Carolyn B. Seaman
ILP
2007
Springer
14 years 1 months ago
Structural Statistical Software Testing with Active Learning in a Graph
Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically, SSST exploits the feasible paths...
Nicolas Baskiotis, Michèle Sebag
DATE
2010
IEEE
157views Hardware» more  DATE 2010»
14 years 20 days ago
RMOT: Recursion in model order for task execution time estimation in a software pipeline
Abstract—This paper addresses the problem of execution time estimation for tasks in a software pipeline independent of the application structure or the underlying architecture. A...
Nabeel Iqbal, M. A. Siddique, Jörg Henkel
CGO
2008
IEEE
14 years 2 months ago
Latency-tolerant software pipelining in a production compiler
In this paper we investigate the benefit of scheduling non-critical loads for a higher latency during software pipelining. "Noncritical" denotes those loads that have s...
Sebastian Winkel, Rakesh Krishnaiyer, Robyn Sampso...