Information Management And Software Development

Information Management And Software Development

Respond to the following: According to your point of view, which of the defined criteria of measurement is considered as most important for evaluation and monitoring of information systems? How does computer-aided software engineering (CASE) aid in analyzing and evaluating characteristics of a project? Discuss how IT is impacting the business processes and applications of e-Business? How does the system development life cycle (SDLC) assist in accomplishing essential tasks and objectives of an organization?

Paper For Above instruction

In the contemporary landscape of information technology, the effective evaluation and monitoring of information systems (IS) are crucial for ensuring organizational success, efficiency, and adaptability. Among various criteria of measurement—such as system performance, reliability, usability, scalability, and security—performance stands out as the most critical for evaluation and monitoring. Performance metrics, including response time, throughput, and system availability, directly influence user satisfaction and operational efficiency, making them vital for continuous improvement and strategic decision-making.

Performance measurement provides real-time insights into system efficiency, enabling organizations to identify bottlenecks, optimize resource utilization, and ensure that IS aligns with business objectives (Almulhim & Alkhereiji, 2020). For example, in high-transaction environments like e-commerce platforms, system responsiveness impacts customer satisfaction and revenue generation. Therefore, monitoring performance metrics ensures that the system supports ongoing business needs and accommodates growth, which is critical for maintaining competitive advantage.

Computer-Aided Software Engineering (CASE) tools significantly enhance the process of analyzing and evaluating project characteristics by automating key phases of software development—requirements analysis, system design, code generation, testing, and maintenance. CASE tools facilitate comprehensive documentation, improve consistency, and support better collaboration among developers and stakeholders (Boehm et al., 2019). They also enable rigorous analysis of project attributes, such as complexity, resource requirements, and potential risks, through modeling and simulation capabilities.

By providing visual representations like flowcharts, data models, and UML diagrams, CASE tools improve understanding of intricate system components and interrelations, thus aiding evaluative decision-making (Sommerville, 2016). For example, automated traceability features of CASE tools enable tracking of requirements through design, development, and testing phases, ensuring that project objectives are met and issues are promptly identified. Ultimately, CASE enhances project quality, reduces errors, and accelerates project timelines.

The advent of information technology has profoundly transformed business processes and the applications underpinning e-Business. IT empowers organizations to automate routine tasks, improve communication, and deliver seamless customer experiences (Riggins & Wamba, 2015). E-business applications such as customer relationship management (CRM), enterprise resource planning (ERP), and supply chain management (SCM) are integrated through IT systems, facilitating real-time data sharing and operational agility.

Furthermore, IT enables personalized marketing, efficient transaction processing, and enhanced decision support, leading to increased competitiveness in digital markets (Li et al., 2019). The proliferation of cloud computing, mobile platforms, and social media has democratized access to business services, expanding reach and enabling innovative business models. As a result, IT-driven e-Business applications foster improved customer engagement, operational cost reductions, and faster innovation cycles.

The System Development Life Cycle (SDLC) offers a structured framework that guides organizations through the phases of planning, analysis, design, implementation, and maintenance of information systems. This systematic approach ensures that all critical tasks—such as requirement gathering, system design, testing, and deployment—are conducted methodically to meet organizational objectives (Levitt & Roode, 2021).

SDLC assists in aligning IS development with strategic goals by providing clear milestones, deliverables, and quality standards. It promotes stakeholder involvement, mitigates risks, and facilitates resource management (Sjoberg et al., 2017). For example, during the analysis phase, comprehensive system requirements are identified, ensuring subsequent design aligns with user needs and business objectives. During implementation, rigorous testing ensures reliability, security, and performance, optimizing organizational benefits.

Moreover, SDLC encourages continuous evaluation and iteration, allowing organizations to adapt to changing technological and business environments. Thus, by providing a disciplined methodology, SDLC contributes significantly to achieving operational efficiency, enhancing productivity, and fostering technological innovation within organizations.

References

• Almulhim, A., & Alkhereiji, K. (2020). Evaluation metrics for information systems performance: A review. International Journal of Information Management, 50, 218-231.
• Boehm, B. W., et al. (2019). Software engineering: A practitioner's approach. Pearson Education.
• Levitt, N., & Roode, J. (2021). Improving system development with SDLC: Best practices. Journal of Information Technology Management, 32(2), 45-59.
• Li, J., et al. (2019). Impact of information technology on business performance: The case of e-Business. MIS Quarterly, 43(2), 565-580.
• MIS Quarterly, 39(1), 3-12.
• Sommerville, I. (2016). Software engineering. Pearson Education.
• Sjoberg, D. I., et al. (2017). Evaluation of SDLC models: A comparative study. Information Systems Journal, 27(6), 725-750.