Name
Abstract | ||
|---|---|---|
The automation and adaptability of software systems to the dynamic environment and requirement variation is quite critical ability in cloud computing. This paper tends to organize vast stacks of problem solution resources for software processes into a structured resource space according to their topic words. The Resource Space model is well-developed by continuously adapting to its surroundings, expanding example group and refining model information. Resource topics are extracted with TDDF algorithm from document resources. Topic networks are established with topic connection strength. Then these topic networks are transformed into maximum spanning trees that are divided into different classification parts with pruning operation. This work may promotes automation of RS-based software service and development of novel software development in cloud computing environment. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-10665-1_60 | CloudCom |
Keywords | Field | DocType |
software system,automatic construction,topic connection strength,topic word,topic network,cloud computing,resource topic,rs-based software service,resource space model,software process,sp problem-solving resource space,novel software development,software systems,software development,spanning tree | Prime (order theory),Tensor product,Graph,Combinatorics,Clique,Computer science,Riemann hypothesis,Projective plane,Limiting | Conference |
Volume | ISSN | Citations |
5931 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin Liu | 1 | 316 | 50.24 |
| Fei Liu | 2 | 628 | 69.26 |
| Xue Chen | 3 | 158 | 8.11 |
| Junfeng Wang | 4 | 91 | 11.65 |