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PROMISE 2013: Baltimore, MD, USA
- Burak Turhan:
9th International Conference on Predictive Models in Software Engineering, PROMISE '13, Baltimore, MD, USA, October 9, 2013. ACM 2013, ISBN 978-1-4503-2016-0 - Thomas Zimmermann:
Software analytics = sharing information. 1:1 - Neil Walkinshaw:
Using evidential reasoning to make qualified predictions of software quality. 2:1-2:10 - Klaus Lochmann, Jasmin Ramadani, Stefan Wagner:
Are comprehensive quality models necessary for evaluating software quality? 3:1-3:9 - Sarah Smith Heckman, Laurie A. Williams:
A comparative evaluation of static analysis actionable alert identification techniques. 4:1-4:10 - Josée Tassé:
Using code change types in an analogy-based classifier for short-term defect prediction. 5:1-5:4 - Steffen Herbold:
Training data selection for cross-project defect prediction. 6:1-6:10 - Ramin Moazeni, Daniel Link, Barry W. Boehm:
Incremental development productivity decline. 7:1-7:9 - Leandro L. Minku, Xin Yao:
An analysis of multi-objective evolutionary algorithms for training ensemble models based on different performance measures in software effort estimation. 8:1-8:10 - Liyan Song, Leandro L. Minku, Xin Yao:
The impact of parameter tuning on software effort estimation using learning machines. 9:1-9:10 - Gul Calikli, Ayse Bener:
An algorithmic approach to missing data problem in modeling human aspects in software development. 10:1-10:10 - Tim Menzies:
Beyond data mining; towards "idea engineering". 11:1-11:6 - Ekrem Kocaguneli, Bojan Cukic, Tim Menzies, Huihua Lu:
Building a second opinion: learning cross-company data. 12:1-12:10
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