loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Aldo Dagnino

Affiliation: ABB Corporate Research, United States

Keyword(s): Planning Estimates, Cone of Uncertainty, Planning Estimation Stage.

Related Ontology Subjects/Areas/Topics: Scheduling and Estimating ; Software Engineering ; Software Project Management

Abstract: This paper describes a multi-method approach utilized at ABB to derive size and effort estimates at the planning stage of software development projects. The planning stage is the stage where the organization has more insights into the project that at the initial conceptual stage. This does not mean that uncertainty is totally eliminated but it is reduced as analysis of features has resulted in more detailed requirements. The approach assumes that the organization conducting the estimation exercise does not have reliable historical data that can be used to derive the estimates. A case study is presented that describes a pilot conducted in an ABB Unit where the method has been implemented. This paper also shows how key estimation principles have been incorporated to the methods discussed to form a comprehensive estimation process. By implementing the methods and key principles described in this paper, an organization can begin storing reliable historical data for future use. Judgment-b ased and model-based methods are used to derive size and effort estimates. The paper shows that using different estimation methods helps the project manager to gain better insight on the estimates and obtain a composite estimate that is more robust and reliable. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.147.71.175

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Dagnino, A. (2013). Multi-method Software Estimation Utilizing Judgment and Model based Methods. In Proceedings of the 8th International Joint Conference on Software Technologies (ICSOFT 2013) - ICSOFT-EA; ISBN 978-989-8565-68-6; ISSN 2184-2833, SciTePress, pages 403-410. DOI: 10.5220/0004434004030410

@conference{icsoft-ea13,
author={Aldo Dagnino.},
title={Multi-method Software Estimation Utilizing Judgment and Model based Methods},
booktitle={Proceedings of the 8th International Joint Conference on Software Technologies (ICSOFT 2013) - ICSOFT-EA},
year={2013},
pages={403-410},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004434004030410},
isbn={978-989-8565-68-6},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Software Technologies (ICSOFT 2013) - ICSOFT-EA
TI - Multi-method Software Estimation Utilizing Judgment and Model based Methods
SN - 978-989-8565-68-6
IS - 2184-2833
AU - Dagnino, A.
PY - 2013
SP - 403
EP - 410
DO - 10.5220/0004434004030410
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic