The evaluation and selection of inappropriate open source software in learning management system (OSS-LMS) packages adversely affect the business processes and functions of an organization. Thus, comprehensive insights into the evaluation and selection of OSS-LMS packages are presented in this paper on the basis of three directions. First, available OSS-LMSs are ascertained from published papers. Second, the criteria for evaluating OSS-LMS packages are specified.according to two aspects: the criteria are identified and established, followed by a crossover between them to highlight the gaps between the evaluation criteria for OSS-LMS packages and the selection problems. Third, the abilities of selection methods that appear fit to solve the problems of OSS-LMS packages based on the multi-criteria evaluation and selection problem are discussed to select the best OSS-LMS packages. Results indicate the following: (1) a list of active OSS-LMS packages; (2) the gaps on the evaluation criteria used for LMS and other problems (consisting of main groups with sub-criteria); (3) use of multi-attribute or multi-criteria decision-making (MADM/MCDM) techniques in the framework of the evaluation and selection of the OSS in education as recommended solutions.

The valuation and choice of unsuitable open source software in electronic medical record (OSS-EMR) groups negatively affects the functions of organization and business processes. This study provides an insight into the assessment and choice of OSS-EMR groups in two ways. Firstly, quality characteristics are determined to evaluate OSS-EMR sets according to current frameworks and quality models. Secondly, the capabilities of appropriate choose methods for resolving OSS-EMR groups problems are discussed on the basis of Multi-criteria assessment and select issues are considered for choosing the best OSS-EMR. The obtained results can be attributed to the following:(1) quality characteristics considered for the evaluation of OSS-EMR groups; (2) the gap in the assessment criteria used in EMR and other issues; and Multi-Criteria or Multi-Attribute Decision Making techniques used in framework for evaluating and selecting OSS in health informatics as part of a recommended solution.