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» Using Metrics to Improve Software Testing
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GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
14 years 25 days ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 2 days ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
ESEM
2009
ACM
14 years 2 months ago
Usability testing with total-effort metrics
Usability testing activities have numerous benefits in theory, yet they are often overlooked or disregarded in practice. A testing paradigm which yields objective, quantitative re...
Liam Feldman, Carl J. Mueller, Dan E. Tamir, Oleg ...
ICSE
2008
IEEE-ACM
14 years 7 months ago
Security metrics for source code structures
Software security metrics are measurements to assess security related imperfections (or perfections) introduced during software development. A number of security metrics have been...
Istehad Chowdhury, Brian Chan, Mohammad Zulkernine
GECCO
2007
Springer
206views Optimization» more  GECCO 2007»
13 years 11 months ago
Using code metric histograms and genetic algorithms to perform author identification for software forensics
We have developed a technique to characterize software developers' styles using a set of source code metrics. This style fingerprint can be used to identify the likely author...
Robert Charles Lange, Spiros Mancoridis