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» Extraction of bug localization benchmarks from history
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ICSM
2009
IEEE
14 years 13 days ago
Predicting change impact from logical models
To improve the ability of predicting the impact scope of a given change, we present two approaches applicable to the maintenance of object-oriented software systems. Our first ap...
Sunny Wong, Yuanfang Cai
ISSTA
2009
ACM
14 years 9 days ago
Identifying bug signatures using discriminative graph mining
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xif...
TSE
2008
129views more  TSE 2008»
13 years 5 months ago
Classifying Software Changes: Clean or Buggy?
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
Sunghun Kim, E. James Whitehead Jr., Yi Zhang 0001
HIPEAC
2007
Springer
13 years 12 months ago
Branch History Matching: Branch Predictor Warmup for Sampled Simulation
Computer architects and designers rely heavily on simulation. The downside of simulation is that it is very time-consuming — simulating an industry-standard benchmark on today...
Simon Kluyskens, Lieven Eeckhout
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
14 years 6 months ago
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...