relation: https://khub.utp.edu.my/scholars/13651/
title: Using an Expert Panel to Validate the Malaysian SMEs-Software Process Improvement Model (MSME-SPI)
creator: Almomani, M.A.
creator: Basri, S.
creator: Almomani, O.
creator: Capretz, L.F.
creator: Balogun, A.
creator: Husni, M.
creator: Gilal, A.R.
description: This paper presents the components of a newly developed Malaysian SMEs - Software Process Improvement model (MSME-SPI) that can assess SMEs software development industry in managing and improving their software processes capability. The MSME-SPI is developed in response to practitioner needs that were highlighted in an empirical study with the Malaysian SME software development industry. After the model development, there is a need for independent feedback to show that the model meets its objectives. Consequently, the validation phase is performed by involving a group of software process improvement experts in examining the MSME-SPI model components. Besides, the effectiveness of the MSME-SPI model is validated using an expert panel. Three criteria were used to evaluate the effectiveness of the model namely: usefulness, verifiability, and structure. The results show the model effective to be used by SMEs with minor modifications. The validation phase contributes towards a better understanding and use of the MSME-SPI model by the practitioners in the field. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2020
type: Article
type: PeerReviewed
identifier:   Almomani, M.A. and Basri, S. and Almomani, O. and Capretz, L.F. and Balogun, A. and Husni, M. and Gilal, A.R.  (2020) Using an Expert Panel to Validate the Malaysian SMEs-Software Process Improvement Model (MSME-SPI).  Advances in Intelligent Systems and Computing, 1294.  pp. 844-859.  ISSN 21945357     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098198490&doi=10.1007%2f978-3-030-63322-6_72&partnerID=40&md5=bf8807b95746351ff19e33ac660eb665
relation: 10.1007/978-3-030-63322-6₇₂
identifier: 10.1007/978-3-030-63322-6₇₂