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Authors: Satoshi Tsuji ; Yoshitmo Ikkai and Masanori Akiyoshi

Affiliation: Graduate School of Information Science and Technology Osaka University, Japan

Keyword(s): Text mining, stagnation symptom, knowledge management, project management, modeling.

Related Ontology Subjects/Areas/Topics: Engineering Information System ; Enterprise Information Systems ; Information Systems Analysis and Specification

Abstract: The purpose of this research is to extract “stagnation symptoms” from progress reports related to a research project. A stagnation symptom is defined in a portion where remarkable stagnation is seen during the progress of a project. Specifically, according to project managers, stagnation symptoms can be classified into the following three kinds: first one is a project bottleneck grasped from one document; the second is clarified by comparing it with the most recent document; and the third is clarified from changes to a working object in a series of documents. We propose a method of extracting stagnation symptoms using the structural analysis of a project’s progress. A progress model that is a structural chart to expressing the progress of a project is generated from documents with label tags, which indicate prior contexts or attributes. This progress model has the following features: a multilevel layer model using detailed degrees and situation analysis using color, and relation anal ysis of these details and basis using color propagation. Stagnation symptoms are automatically extracted by applying stagnation symptom extraction rules to the progress model. This proposed method was been applied to a set of real progress reports. It could extract stagnation symptoms that were extracted manually. (More)

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Paper citation in several formats:
Tsuji, S.; Ikkai, Y. and Akiyoshi, M. (2006). A DETECTION METHOD OF STAGNATION SYMPTOMS BY USING PROJECT PROGRESS MODELS GENERATED FROM PROJECT REPORTS. In Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT; ISBN 978-972-8865-69-6; ISSN 2184-2833, SciTePress, pages 165-169. DOI: 10.5220/0001315401650169

@conference{icsoft06,
author={Satoshi Tsuji. and Yoshitmo Ikkai. and Masanori Akiyoshi.},
title={A DETECTION METHOD OF STAGNATION SYMPTOMS BY USING PROJECT PROGRESS MODELS GENERATED FROM PROJECT REPORTS},
booktitle={Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT},
year={2006},
pages={165-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001315401650169},
isbn={978-972-8865-69-6},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT
TI - A DETECTION METHOD OF STAGNATION SYMPTOMS BY USING PROJECT PROGRESS MODELS GENERATED FROM PROJECT REPORTS
SN - 978-972-8865-69-6
IS - 2184-2833
AU - Tsuji, S.
AU - Ikkai, Y.
AU - Akiyoshi, M.
PY - 2006
SP - 165
EP - 169
DO - 10.5220/0001315401650169
PB - SciTePress

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