Paper Info
Title
Circumstantial-Evidence-Based Judgment for Software Effort Estimation
Abstract
Expert judgment for software effort estimation is oriented toward direct evidences that refer to actual effort of similar projects or activities through experts' experiences. However, the availability of direct evidences implies the requirement of suitable experts together with past data. The circpmstantialevidence-based judgment proposed in this paper focuses on the development experiences deposited in human knowledge, and can then be used to qualitatively estimate implementation effort of different proposals of a new project by rational inference. To demonstrate the process of circumstantial-evidence-based judgment, this paper adopts propositional learning theory based diagnostic reasoning to infer and compare different effort estimates when implementing a Web service composition project with some different techniques and contexts. The exemplar shows our proposed work can help determine effort tradeoff before project implementation. Overall, circumstantial-evidence-based judgment is not an alternative but complementary to expert judgment so as to facilitate and improve software effort estimation.
Year
Venue
DocType
2011
EAST 2011: EVIDENTIAL ASSESSMENT OF SOFTWARE TECHNOLOGIES
Conference
Volume
Citations 
PageRank 
abs/1302.2193
3
0.40
References 
Authors
7
3
Name
Order
Citations
PageRank
Zheng Li11159.88
Liam O'Brien236730.01
He Zhang381765.63