loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Stamatia Bibi 1 ; Vassilis Gerogiannis 2 ; George Kakarontzas 3 and Ioannis Stamelos 1

Affiliations: 1 Aristotle University of Thessaloniki, Greece ; 2 Technological Education Institute of Thessaly, Greece ; 3 Technological Educational Institute Of Thessaly, Greece

Keyword(s): Software Process Improvement, Bayesian Networks, Software Process Ontology, Process Estimation.

Related Ontology Subjects/Areas/Topics: Project Planning, Monitoring and Control ; Scheduling and Estimating ; Software Engineering ; Software Project Management

Abstract: This paper presents an ontology based approach that can support small and medium-sized software enterprises (SMEs) to achieve their software process improvement goals. The approach consists of four steps: i) assessment of the software process and identification of areas under improvement, ii) development of a process knowledge base, iii) conceptualization and analysis of an ontology that represents the process domain, iv) Bayesian analysis on the ontology, experimentation and suggestions for process improvement. The main concept of the approach is presented through a generic software process ontology model. To validate the approach parts of this model was instantiated using company specific process data from a telecommunication SME. The resulted process models are further analysed through applying Bayesian analysis.

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 18.118.226.105

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:
Bibi, S.; Gerogiannis, V.; Kakarontzas, G. and Stamelos, I. (2014). Ontology based Bayesian Software Process Improvenent. In Proceedings of the 9th International Conference on Software Engineering and Applications (ICSOFT 2014) - ICSOFT-EA; ISBN 978-989-758-036-9, SciTePress, pages 568-575. DOI: 10.5220/0005001505680575

@conference{icsoft-ea14,
author={Stamatia Bibi. and Vassilis Gerogiannis. and George Kakarontzas. and Ioannis Stamelos.},
title={Ontology based Bayesian Software Process Improvenent},
booktitle={Proceedings of the 9th International Conference on Software Engineering and Applications (ICSOFT 2014) - ICSOFT-EA},
year={2014},
pages={568-575},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005001505680575},
isbn={978-989-758-036-9},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Software Engineering and Applications (ICSOFT 2014) - ICSOFT-EA
TI - Ontology based Bayesian Software Process Improvenent
SN - 978-989-758-036-9
AU - Bibi, S.
AU - Gerogiannis, V.
AU - Kakarontzas, G.
AU - Stamelos, I.
PY - 2014
SP - 568
EP - 575
DO - 10.5220/0005001505680575
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