Title
Recommender system for software project planning one application of revised CBR algorithm
Abstract
Project management is an experience-driven and knowledge-centralized activity. Therefore, project managers require some assistance to reduce the uncertainty at the early stage of constructing project plans. To overcome the predicament faced by project managers, this investigation proposes a hierarchical criteria architecture (HCA) to enable project managers to describe project requirements adequately. Furthermore, to solve HCA problems, a revised case-based reasoning (RCBR) algorithm, is presented and a recommender system for software project planning is implemented, based on multiple objectives decision techniques and the mining approach. Finally, the proposed RCBR algorithm is successfully applied to analyze 41 real projects from a software consultancy in Taiwan. Experimental results demonstrate that RCBR can efficiently provide related information to help project managers to construct project plans at an early stage. Additionally, the knowledge discovery process of RCBR provides project managers with results similar to what-if analysis. The knowledge can enable project managers to obtain feasible information to re-schedule project resources, and bargain with their customers in the early project planning stage.
Year
DOI
Venue
2009
10.1016/j.eswa.2008.11.050
Expert Syst. Appl.
Keywords
Field
DocType
project management,hybrid ai applications,project requirement,project resource,software project planning,project planning,multiple objective decisions,real project,proposed rcbr algorithm,recommender system,project manager,early project planning stage,early stage,project plan,revised cbr algorithm,case-based reasoning,case based reasoning,case base reasoning
Data mining,Work breakdown structure,Schedule (project management),Extreme project management,Project management 2.0,Computer science,Algorithm,Software project management,Project management triangle,Project planning,Project management
Journal
Volume
Issue
ISSN
36
5
Expert Systems With Applications
Citations 
PageRank 
References 
8
0.54
17
Authors
2
Name
Order
Citations
PageRank
hengli yang134427.53
Cheng-Su Wang2111.33