Classification of Software Behaviors for Failure Detection: A Discriminative Pattern Mining Approach

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 and anomalies are prevalent. Bugs have caused billions of dollars loss, in addition to privacy and security threats. In thi...

Full description

Saved in:
Bibliographic Details
Main Authors: LO, David, CHENG, Hong, Han, Jiawei, KHOO, Siau-Cheng, SUN, Chengnian
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
Subjects:
closed unique patterns
failure detection
iterative patterns
pattern-based classification
sequential database
software behaviors
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/459
https://ink.library.smu.edu.sg/context/sis_research/article/1458/viewcontent/kdd09.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/459
https://ink.library.smu.edu.sg/context/sis_research/article/1458/viewcontent/kdd09.pdf

Similar Items