Abstract
Component-based software development (CBSD) is a difficult method for creating complicated products or systems. In CBSD, multiple components are used to construct software or a product. A complex system or program can be created with CBSD quickly and with money while maintaining excellent quality and security. On the other hand, this research will persuade outsourced vendor companies to embrace CBSD approaches for component software development. We conducted a systemic literature review (SLR) to investigate the success factors that have a favorable impact on software outsourcing vendors' organizations, and we selected 91 relevant research publications by creating a search string based on the study questions. This useful information was compiled using Google Scholar, IEEE Explore, MDPI, WILLEY Digital Library, and Elsevier. Furthermore, we completed all of the procedures in SLR for the full literature review, including the formulation of the SLR protocol, initial and final data collection, retrieval, assessment processes, and data synthesis. Among the ten (10) critical success factors we identified are a well-trained and skilled team, proper component selection, use of design standards, well-defined architecture, well-defined analysis and testing, well-defined integration, quality assurance, good organization of documentation, and well-organized security, and proper certification. Furthermore, the proposed SLR includes 46 best practices for these critical success factors, which could assist vendor organizations in enhancing critical success factors for CBOSD. According to our findings, the discovered success factors are similar and distinct across different periods, continents, databases, and approaches. The recommended SLR will also assist software vendor organizations in implementing the CBSD idea. We used the analytical hierarchy process (AHP) method to prioritize and analyze the success factors of component-based outsourcing software development and the result of different equations of the AHP approach to construct the pairwise comparison matrix. The largest eigenvalue was 3.096 and the CR value was 0.082, which is less than 0.1, and thus sufficient and acceptable.