Farid Ullah Qayoumi
Faculty of Computer Science, Badakhshan University, Faizabad, Afghanistan

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Comparative Analysis of Web Frameworks for Rapid Development: A Systematic Literature Review Farid Ullah Qayoumi; Fawad Bikzadl
Journal of International Accounting, Taxation and Information Systems Vol. 3 No. 2 (2026): May
Publisher : CV. Proaksara Global Transeduka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70865/jiatis.v3i2.156

Abstract

Selecting the most suitable web framework for rapid development remains a significant challenge for software teams, often leading to increased costs, slower delivery, and technical debt. This paper presents a systematic literature review (SLR) comparing six leading web frameworks  React, Vue.js, and Angular for front-end development, alongside Django, Ruby on Rails, and Express.js for back-end development  to evaluate their effectiveness for rapid development of Minimum Viable Products (MVPs), Single Page Applications (SPAs), and scalable prototypes. Following the Kitchenham and Charters (2007) SLR guidelines, a systematic search was conducted across IEEE Xplore, ACM Digital Library, and Google Scholar, focusing on 47 empirical studies published between 2015 and 2025 and assessed against five criteria including development speed, learning curve, performance, deployment time, and scalability. Findings reveal that Vue.js and Ruby on Rails offer the fastest initial development times due to gentle learning curves and built-in scaffolding, making them ideal for MVPs. React and Django demonstrate superior scalability and robustness for large-scale, data-intensive applications, while Angular and Express.js excel in enterprise contexts requiring structured architectures and microservice flexibility. No single framework universally outperforms the others; optimal selection depends on project-specific requirements, team expertise, and scalability needs. The study offers evidence-based recommendations to help developers and decision-makers balance rapid development with long-term maintainability.
Analysis of the Factors of Success and Failure of Information System Projects in the Public and Private Sectors Fawad Bikzad; Farid Ullah Qayoumi
Journal of International Accounting, Taxation and Information Systems Vol. 3 No. 2 (2026): May
Publisher : CV. Proaksara Global Transeduka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70865/jiatis.v3i2.157

Abstract

Information system (IS) projects represent substantial investments for public and private organizations, yet many fail to achieve their intended objectives. Despite advances in project management practices and information technologies, project failure remains a persistent challenge. Global IT investment reached approximately USD 3.11 trillion in 2022, while Standish Group CHAOS reports indicate that only about one-third of projects are completed on time, within budget, and with the required functionality. This systematic literature review synthesizes evidence from 67 studies published between 1990 and 2024 to examine how organizational, managerial, and technical factors influence IS project success and failure. Guided by a critical realist perspective and thematic synthesis, the review identifies critical success factors, explores relationships among failure factors, and compares priorities across public and private sectors. The findings reveal that people-related factors including committed project teams, active user involvement, clearly defined requirements, effective leadership, and executive support have the strongest influence on project success. While many success factors are common to both sectors, public organizations place greater emphasis on stakeholder engagement, governance, procurement compliance, and change management, whereas private organizations prioritize cost efficiency, rapid delivery, innovation, and technical performance. User participation, communication, and training consistently strengthen other success factors. The review extends the DeLone and McLean IS Success Model by incorporating project-level determinants and supports a contingency perspective, offering practical guidance for project managers, IT executives, and policymakers to improve IS project outcomes.