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» Hints for Reviewing Empirical Work in Software Engineering
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INTENSIVE
2009
IEEE
14 years 2 months ago
Accelerating K-Means on the Graphics Processor via CUDA
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...
Mario Zechner, Michael Granitzer
ICST
2008
IEEE
14 years 2 months ago
Relationships between Test Suites, Faults, and Fault Detection in GUI Testing
Software-testing researchers have long sought recipes for test suites that detect faults well. In the literature, empirical studies of testing techniques abound, yet the ideal tec...
Jaymie Strecker, Atif M. Memon
WCRE
2008
IEEE
14 years 2 months ago
A Bayesian Network Based Approach for Change Coupling Prediction
Source code coupling and change history are two important data sources for change coupling analysis. The popularity of public open source projects in recent years makes both sourc...
Yu Zhou, Michael Würsch, Emanuel Giger, Haral...
CSMR
2006
IEEE
14 years 1 months ago
A Metric of Confidence in Requirements Gathered from Legacy Systems: Two Industrial Case Studies
It is known that well over 50% of replacement projects fail. Requirements gathering go someway to contributing to this statistic; if the requirements we gather for the new system ...
James Marchant, Christos Tjortjis, Michael Turega
ICSM
2003
IEEE
14 years 27 days ago
A Framework for Understanding Conceptual Changes in Evolving Source Code
As systems evolve, they become harder to understand because the implementation of concepts (e.g. business rules) becomes less coherent. To preserve source code comprehensibility, ...
Nicolas Gold, Andrew Mohan