UPM Institutional Repository

KMS components for collaborative software maintenance – a pilot study


Mohd Nor, Mohd Zali and Abdullah, Rusli and Azmi Murad, Masrah Azrifah and Selamat, Mohd Hasan and Abdul Aziz, Azrilah (2010) KMS components for collaborative software maintenance – a pilot study. In: 2010 International Conference on Information Retrieval & Knowledge Management (CAMP), 17-18 Mar. 2010, Shah Alam Convention Centre, Shah Alam. (pp. 332-337).


Software maintenance (SM) environment is highly complex, knowledge-driven and collaborative environment. Therefore, a Knowledge Management System (KMS) is critical to ensure various parties have the necessary information to perform SM activities. In an effort to model the requirements for sharing and sustaining knowledge in SM environment, we review literatures on Knowledge Management (KM), KMS and SM frameworks to identify the knowledge components, tools and technologies. An initial model of KMS components in collaborative SM is proposed, to be verified vis-a-vis a questionnaire survey. Before the questionnaires are sent out, a pilot study was conducted to identify misfit questionnaire items so that they could be revised before being sent out. Rasch Unified Measurement Method (RUMM) is used to analyze the pilot data. Item reliability is found to be poor and a few respondents and items are identified as misfits with distorted measurements. As a result, some problematic questions are revised and some predictably easy questions are excluded from the questionnaire.

Download File

Text (Abstract)
KMS components for collaborative software maintenance – a pilot study.pdf

Download (48kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/INFRKM.2010.5466893
Publisher: IEEE
Keywords: Knowledge management system; Software maintenance
Depositing User: Nabilah Mustapa
Date Deposited: 10 Jun 2019 02:41
Last Modified: 10 Jun 2019 02:41
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/INFRKM.2010.5466893
URI: http://psasir.upm.edu.my/id/eprint/68540
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item