International Journal of Computational Intelligence Systems

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Volume 2, Issue 3, October 2009, Pages 256 - 266

BMR: Benchmarking Metrics Recommender for Personnel issues in Software Development Projects

Authors
Angel Garcia-Crespo, Ricardo Colomo-Palacios, Juan Miguel Gomez-Berbis, Myriam Mencke
Corresponding Author
Angel Garcia-Crespo
Received 14 September 2008, Accepted 7 June 2009, Available Online 1 October 2009.
DOI
10.2991/ijcis.2009.2.3.7How to use a DOI?
Keywords
Ontologies, Software Metrics, Semantics, GATE, Natural Language Processing
Abstract

This paper presents an architecture which applies document similarity measures to the documentation produced during the phases of software development in order to generate recommendations of process and people metrics for similar projects. The application makes a judgment of similarity of the Service Provision Offer (SPO) document of a new proposed project to a collection of Project History Documents (PHD), stored in a repository of unstructured texts. The process is carried out in three stages: firstly, clustering of the Offer document with the set of PHDs which are most similar to it; this provides the initial indication of whether similar previous projects exist, and signifies similarity. Secondly, determination of which PHD in the set is most comparable with the Offer document, based on various parameters: project effort, project duration (time), project resources (members/size of team), costs, and sector(s) involved, indicating comparability of projects. The comparable parameters are extracted using the GATE Natural Language Processing architecture. Lastly, a recommendation of metrics for the new project is made, which is based on the transferability of the metrics of the most similar and comparable PHD extracted, here referred to as recommendation.

Copyright
© 2009, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
2 - 3
Pages
256 - 266
Publication Date
2009/10/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2009.2.3.7How to use a DOI?
Copyright
© 2009, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Angel Garcia-Crespo
AU  - Ricardo Colomo-Palacios
AU  - Juan Miguel Gomez-Berbis
AU  - Myriam Mencke
PY  - 2009
DA  - 2009/10/01
TI  - BMR: Benchmarking Metrics Recommender for Personnel issues in Software Development Projects
JO  - International Journal of Computational Intelligence Systems
SP  - 256
EP  - 266
VL  - 2
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2009.2.3.7
DO  - 10.2991/ijcis.2009.2.3.7
ID  - Garcia-Crespo2009
ER  -