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IV
2009
IEEE
100views Visualization» more  IV 2009»
15 years 4 months ago
Scouting Requirements Quality Using Visual Representations
Examining the quality of a set of requirements is a sensible project health check given their role in the engineering of quality software systems. However, not all project stakeho...
Orlena Gotel, Francis T. Marchese
SIGSOFT
2005
ACM
15 years 10 months ago
The story of moose: an agile reengineering environment
Moose is a language-independent environment for reverseand re-engineering complex software systems. Moose provides a set of services including a common meta-model, metrics evaluat...
Oscar Nierstrasz, Stéphane Ducasse, Tudor G...
HAIS
2009
Springer
15 years 1 months ago
Beyond Homemade Artificial Data Sets
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Núria Macià, Albert Orriols-Puig, Es...
NAACL
1994
14 years 11 months ago
Automatic Evaluation of Computer Generated Text: A Progress Report on the TEXTEVAL Project
We present results ofexperiments designed to assess the usefulness of a new technique for the evaluation of translation quality, comparing human rankings with automatic measures. ...
Chris Brew, Henry S. Thompson
SEKE
2004
Springer
15 years 3 months ago
Supporting the Requirements Prioritization Process. A Machine Learning approach
Requirements prioritization plays a key role in the requirements engineering process, in particular with respect to critical tasks such as requirements negotiation and software re...
Paolo Avesani, Cinzia Bazzanella, Anna Perini, Ang...