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ESEM
2007
ACM
15 years 8 months ago
An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method
The quality of software measurement data affects the accuracy of project manager’s decision making using estimation or prediction models and the understanding of real project st...
Kyung-A Yoon, Oh-Sung Kwon, Doo-Hwan Bae
ICSE
2011
IEEE-ACM
14 years 10 months ago
StakeSource2.0: using social networks of stakeholders to identify and prioritise requirements
Software projects typically rely on system analysts to conduct requirements elicitation, an approach potentially costly for large projects with many stakeholders and requirements....
Soo Ling Lim, Daniela Damian, Anthony Finkelstein
IEE
2002
92views more  IEE 2002»
15 years 6 months ago
Comparison of Web size measures for predicting Web design and authoring effort
: Software practitioners recognise the importance of realistic estimates of effort for the successful management of software projects, the Web being no exception. Estimates are nec...
Emilia Mendes, Nile Mosley, Steve Counsell
IFIP
2007
Springer
16 years 27 days ago
Capable Leader and Skilled and Motivated Team Practices to Introduce eXtreme Programming
Abstract. Applying changes to software engineering processes in organisations usually raises many problems of varying nature. Basing on a real-world 2-year project and a simultaneo...
Lech Madeyski, Wojciech Biela
ICPR
2008
IEEE
16 years 8 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...