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» Predicting risk of software changes
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ICSE
2005
IEEE-ACM
14 years 7 months ago
Use of relative code churn measures to predict system defect density
Software systems evolve over time due to changes in requirements, optimization of code, fixes for security and reliability bugs etc. Code churn, which measures the changes made to...
Nachiappan Nagappan, Thomas Ball
ICSE
2007
IEEE-ACM
14 years 7 months ago
Predicting Faults from Cached History
We analyze the version history of 7 software systems to predict the most fault prone entities and files. The basic assumption is that faults do not occur in isolation, but rather ...
Sunghun Kim, Thomas Zimmermann, E. James Whitehead...
BMCBI
2010
96views more  BMCBI 2010»
13 years 7 months ago
Incorporating gene co-expression network in identification of cancer prognosis markers
Background: Extensive biomedical studies have shown that clinical and environmental risk factors may not have sufficient predictive power for cancer prognosis. The development of ...
Shuangge Ma, Mingyu Shi, Yang Li, Danhui Yi, Ben-C...
FLAIRS
2004
13 years 9 months ago
Identifying Critical Factors in Case-Based Prediction
A reversible outcome is one that can be changed. For example, the failure of an ongoing project may be avoided if certain actions are taken, while an outcome such as the path of a...
Rosina Weber, William M. Evanco, Michael Waller, J...
SIGSOFT
2010
ACM
13 years 2 months ago
Evolution of a bluetooth test application product line: a case study
In this paper, we study the decision making process involved in the five year lifecycle of a Bluetooth software product produced by a large, multi-national test and measurement fi...
Narayan Ramasubbu, Rajesh Krishna Balan