Paper Info
Title
Applying Expert Judgment To Improve An Individual'S Ability To Predict Software Development Effort
Abstract
Expert-based effort prediction in software projects can be taught, beginning with the practices learned in an academic environment in courses designed to encourage them. However, the length of such courses is a major concern for both industry and academia. Industry has to work without its employees while they are taking such a course, and academic institutions find it hard to fit the course into an already tight schedule. In this research, the set of Personal Software Process (PSP) practices is reordered and the practices are distributed among fewer assignments, in an attempt to address these concerns. This study involved 148 practitioners taking graduate courses who developed 1,036 software course assignments. The hypothesis on which it is based is the following: When the activities in the original PSP set are reordered into fewer assignments, the result is expert-based effort prediction that is statistically significantly better.
Year
DOI
Venue
2012
10.1142/S0218194012500118
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
Keywords
Field
DocType
Software development effort prediction, expert judgment technique, experimental design, personal software process
Personal software process,Systems engineering,Software engineering,Subject-matter expert,Computer science,Software,Software metric,Software development
Journal
Volume
Issue
ISSN
22
4
0218-1940
Citations 
PageRank 
References 
5
0.42
18
Authors
2
Name
Order
Citations
PageRank
Cuauhtémoc López Martín193.20
Alain Abran2996204.62