Author:
Ciprian-Leontin Stanciu
Affiliation:
“Politehnica” University of Timisoara, Romania
Keyword(s):
Software project management, Forecasting, Prediction model, Work progress metrics, Work behavior.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Data and Information Retrieval
;
Data Engineering
;
Decision Support Systems
;
Enterprise Information Systems
;
Enterprise Software Technologies
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
Software projects are well known for their high overruns in terms of budget and time. As they grow larger, project monitoring becomes harder. In such a context, forecasting becomes a critical “ability”, helping the project manager to understand where the project is heading, in terms of required budged and implementation time. In this paper, we present a forecasting method that we developed, which makes use of a distinct representation of the observed behavior of project team members towards work that is Work Behavior. Moreover, we present the first results from experiments on real-world software project development data that show that our method is more accurate than a very popular prediction method, implemented by most ALM tools.