%0 Journal Article
%@ 21945357
%A Almomani, M.A.
%A Basri, S.
%A Almomani, O.
%A Capretz, L.F.
%A Balogun, A.
%A Husni, M.
%A Gilal, A.R.
%D 2020
%F scholars:13651
%I Springer Science and Business Media Deutschland GmbH
%J Advances in Intelligent Systems and Computing
%K Computational methods; Intelligent systems; Process engineering, Empirical studies; Expert panels; Model components; Model development; Software process; Software Process Improvement; Software process improvement model; Validation phase, Software design
%P 844-859
%R 10.1007/978-3-030-63322-6₇₂
%T Using an Expert Panel to Validate the Malaysian SMEs-Software Process Improvement Model (MSME-SPI)
%U https://khub.utp.edu.my/scholars/13651/
%V 1294
%X 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.
%Z cited By 2; Conference of 4th Computational Methods in Systems and Software, CoMeSySo 2020 ; Conference Date: 14 October 2020 Through 17 October 2020; Conference Code:253159