Incremental development productivity decline

Authors:
Ramin Moazeni;Daniel Link;Barry Boehm
Affiliations:
University of Southern California, SAL;University of Southern California, SAL;University of Southern California, SAL
Venue:
Proceedings of the 9th International Conference on Predictive Models in Software Engineering
Year:
2013

Citing 7
Cited 0

Software Engineering Economics

Software Engineering Economics
Recognizing and responding to "bad smells" in extreme programming

Proceedings of the 24th International Conference on Software Engineering
Where now for development methodologies?

Communications of the ACM
Balancing Agility and Discipline: A Guide for the Perplexed

Balancing Agility and Discipline: A Guide for the Perplexed
Empirical research in systems engineering: challenges and opportunities of a new frontier

Systems Engineering
Productivity trends in incremental and iterative software development

ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Software Engineering Economics

IEEE Transactions on Software Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Incremental models are now being used by many organizations in order to reduce development risks while trying to deliver the product on time. It has become the most common method of software development with characteristics that influences the productivity of projects. This paper introduces a phenomenon called Incremental Development Productivity Decline (IDPD) that is presumed to be present in all incremental software projects to some extent. Different ways of measuring productivity are presented and evaluated in order to come to a definition or set of definitions that is suitable to these kinds of projects. Based on their coherence and other common characteristics, incrementally developed projects are split into several major categories. Following this, several major projects are used as case studies in order to find out whether IDPD can be proven to exist.