Paper Info
Title
Cloud service: automatic construction and evolution of software process problem-solving resource space
Abstract
The automatic construction of networked software and its ability to adapt to dynamic environments are important for cloud services that depend upon these capabilities. We provide a cloud service that browses the stacks of problem solution resources produced in the software process (SP for short) by organizing them into a structured Resource Space according to domain topics. Efforts are made to provide the cloud service with the ability of automatic construction of the SP problem-solving Resource Space, including extracting domain topics from document resources with the TDDF algorithm, transforming the topics into several categories to form the logic Resource Space, and deploying the Resource Space in a Peer-to-Peer (P2P for short) network. We also expect to achieve the online service evolution such as adjusting the resource pool and refining the Resource Space Model (RSM for short) by continuously understanding and adapting to its surroundings. Empirical cases are finally presented. Our investigation promotes the adaptability of cloud services to their changing environment.
Year
DOI
Venue
2013
10.1007/s11227-010-0489-9
The Journal of Supercomputing
Keywords
Field
DocType
problem-solving resource space,online service evolution,networked software,structured resource space,automatic construction,software process problem-solving resource,resource space model,resource space,cloud service,logic resource space,domain topic,software evolution
Adaptability,Computer science,Human resource management system,Software,Software development process,Software evolution,Resource pool,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
64
3
1573-0484
Citations 
PageRank 
References 
3
0.40
24
Authors
5
Name
Order
Citations
PageRank
Jin Liu131650.24
Jing Zhou232754.75
Junfeng Wang39111.65
Xue Chen41588.11
Hainan Zhou530.74