International Journal of Technology and Systems

Enhancing Software Quality through Early-Phase of Software Verification and Validation Techniques

2024-01-19T10:28:31+03:00

Purpose: The core objectives of this conducted research were threefold: first, to assess whether early-phase verification and validation (V&V)techniques, encompassing software design review, code review, and inspection, significantly contribute to defect prevention throughout the software development process; second, to evaluate the impact of these techniques on the efficiency of software development in terms of time, cost, and resource allocation; and third, to conduct a comprehensive comparative analysis between early-phase verification and validation (V&V)techniques and traditional post-development testing regarding their effectiveness in defect prevention and software quality improvement.

Methodology: Employing an experimental approach, this study conducted case studies within Tanzanian software development organizations. Data were meticulously gathered through surveys and interviews involving software professionals. Both quantitative and qualitative data were systematically analyzed to ensure data reliability and ethical considerations.

Findings: The research findings indicate that early-phase verification and validation (V&V) techniques shine as powerful tools for defect prevention, leading to a substantial reduction in defect counts and elevating software quality metrics, such as reliability and user satisfaction. Notably, these techniques demonstrated a favorable impact on software development efficiency by shortening development cycles and curtailing costs. When compared to traditional post-development testing, early-phase verification and validation (V&V) techniques consistently outperformed in the realm of defect prevention and software quality enhancement.

Unique Contribution to Theory, Practice and Policy: The study's outcomes underscore the transformative potential of early-phase verification &validation techniques, urging the software development industry to pivot from defect detection to defect prevention. The insights garnered here offer practical guidance for organizations aiming to streamline their software development processes, economize costs, and deliver top-notch software products that closely align with user expectations. While conducted in a Tanzanian context, these findings reverberate across the global software development landscape, underscoring the universal relevance of early-phase verification and validation (V&V) techniques as pivotal enablers of software quality assurance and operational efficiency.

Role of Information and Communication Technologies in Promoting Financial Inclusion in Rural African Communities in Rwanda

2024-01-23T08:35:24+03:00

Purpose: The aim of the study was to investigate role of information and communication technologies in promoting financial inclusion in rural African Communities

Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.

Findings: This transformation has led to increased savings, facilitated seamless payments, and expanded access to credit, contributing to economic growth, poverty reduction, and enhanced financial resilience in rural communities. Nonetheless, persistent challenges such as limited infrastructure and digital literacy gaps underscore the need for ongoing efforts to fully harness the potential of ICTs, making them a crucial driver of rural development and inclusive growth in Rwanda.

Unique Contribution to Theory, Practice and Policy: Diffusion of Innovation Theory, Social Capital Theory & Resource-Based Theory may be used to anchor future studies on role of information and communication technologies in promoting financial inclusion in rural African Communities. Collaborate with technology providers to develop and deploy ICT solutions tailored to the specific needs and preferences of rural African communities. Policymakers should ensure that regulations support innovation, competition, and consumer protection.

Advanced Data Science Applications in Vehicles: A Comprehensive Review

2024-03-11T13:00:12+03:00

Purpose: This research paper aims to explore the transformative impact of data science applications within the automotive industry, with a focus on the evolution of vehicles into intelligent, connected, and autonomous entities. Through an extensive literature review and analysis of recent developments, the paper seeks to provide a comprehensive understanding of the current state and future prospects of data science in vehicles.

Methodology: Advancements in sensor technologies, such as LiDAR, HD maps, radars, location tracking and cameras, are discussed, highlighting their role in data collection for applications like advanced driver assistance systems (ADAS) and autonomous driving. Relevant citations are provided. This subsection covers the collection and transmission of real-time data through telematics systems, showcasing their importance for predictive maintenance, fleet management, and personalized insurance programs. Citations support the presented information. The deployment of edge computing for real-time data processing in vehicles is discussed, emphasizing its significance for safety-critical applications like collision avoidance. Citations are provided to support the information. This section explores the application of machine learning algorithms to predict vehicle failures, optimize fuel efficiency, and analyze driver behavior. The importance of leveraging historical data to create accurate models is highlighted with supporting citations.

Findings: The pivotal role of data science in enabling autonomous vehicles to navigate complex environments is discussed, emphasizing the use of machine learning models for real-time decision-making. Citations support the presented information. This subsection explores the integration of data science in traffic management systems, covering dynamic traffic signal control, congestion prediction, and route optimization. Citations support the findings related to traffic management applications. The paper discusses challenges associated with widespread implementation, including data privacy concerns, cybersecurity risks, and the need for standardized communication protocols. Additionally, potential future directions are outlined, such as the integration of blockchain for secure data sharing and the development of advanced human-machine interfaces.

Unique Contribution to Theory, Practice and Policy: This research paper provides a well-rounded contribution by seamlessly integrating theoretical concepts, practical applications, and policy considerations in the realm of advanced data science applications in vehicles.