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» Empirical Assessment of Machine Learning based Software Defe...
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ESWA
2008
151views more  ESWA 2008»
13 years 11 months ago
Automated diagnosis of sewer pipe defects based on machine learning approaches
In sewage rehabilitation planning, closed circuit television (CCTV) systems are the widely used inspection tools in assessing sewage structural conditions for non man entry pipes....
Ming-Der Yang, Tung-Ching Su
PROMISE
2010
13 years 5 months ago
Prediction of defect distribution based on project characteristics for proactive project management
As software has been pervasive and various software projects have been executed since the 1970s, software project management has played a significant role in software industry. Th...
Youngki Hong, Wondae Kim, Jeongsoo Joo
OOPSLA
1999
Springer
14 years 3 months ago
Detecting Defects in Object-Oriented Designs: Using Reading Techniques to Increase Software Quality
Inspections can be used to identify defects in software artifacts. In this way, inspection methods help to improve software quality, especially when used early in software develop...
Guilherme Travassos, Forrest Shull, Michael Freder...
KBSE
2007
IEEE
14 years 5 months ago
The business case for automated software engineering
Adoption of advanced automated SE (ASE) tools would be favored if a business case could be made that these tools are more valuable than alternate methods. In theory, software pred...
Tim Menzies, Oussama El-Rawas, Jairus Hihn, Martin...
METRICS
2002
IEEE
14 years 3 months ago
What We Have Learned About Fighting Defects
The Center for Empirically Based Software Engineering helps improve software development by providing guidelines for selecting development techniques, recommending areas for furth...
Forrest Shull, Victor R. Basili, Barry W. Boehm, A...