Mining iterative generators and representative rules for software specification discovery
Billions of dollars are spent annually on software-related cost. It is estimated that up to 45 percent of software cost is due to the difficulty in understanding existing systems when performing maintenance tasks (i.e., adding features, removing bugs, etc.). One of the root causes is that software p...
Saved in:
Main Authors: | LO, David, LI, Jinyan, WONG, Limsoon, KHOO, Siau-Cheng |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2011
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/1329 https://ink.library.smu.edu.sg/context/sis_research/article/2328/viewcontent/Mining_iterative_generators_and_representative_rules_for_software_specification_discovery.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Mining iterative generators and representative rules for software specification discovery
by: Lo, D., et al.
Published: (2013) -
Non-Redundant Sequential Rules - Theory and Algorithm
by: LO, David, et al.
Published: (2009) -
Finding minimum representative pattern sets
by: Liu, G., et al.
Published: (2013) -
Non-redundant sequential rules-Theory and algorithm
by: Lo, D., et al.
Published: (2013) -
Mining Indirect Antagonistic Communities from Social Interactions
by: ZHANG, Kuan, et al.
Published: (2013)