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» A Data Analysis Method for Software Performance Prediction
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ESE
2002
112views Database» more  ESE 2002»
14 years 11 months ago
An Empirical Method for Selecting Software Reliability Growth Models
Estimating remaining defects or failures in software can help test managers make release decisions during testing. Several methods exist to estimate defect content, among them a v...
Catherine Stringfellow, Anneliese Amschler Andrews
ENGL
2007
100views more  ENGL 2007»
14 years 11 months ago
Utilizing Computational Intelligence to Assist in Software Release Decision
—Defect tracking using computational intelligence methods is used to predict software readiness in this study. By comparing predicted number of faults and number of faults discov...
Tong-Seng Quah, Mie Mie Thet Thwin
IWPC
2009
IEEE
15 years 6 months ago
Vector space analysis of software clones
In this paper, we introduce a technique for applying Independent Component Analysis to vector space representations of software code fragments such as methods or blocks. The dista...
Scott Grant, James R. Cordy
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 3 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
COMPSAC
2000
IEEE
15 years 4 months ago
Effort-Index-Based Software Reliability Growth Models and Performance Assessment
In this paper, we first show that the logistic testing-effort function is practically acceptable/helpful for modeling software reliability growth and providing a reasonable descri...
Chin-Yu Huang, Sy-Yen Kuo, Michael R. Lyu