The research in this paper combines two main areas, the first one is software quality and the second is the agile practices of continuous integration. Software quality has been an important topic since the beginning of the software development and production. Many researches have been conducted to discuss how the quality of software is a critical factor to its success [1–5]. Because software became an important part of almost every task in our daily life, having high quality software that meets the users’ expectations is important [6]. Software integration is a stage in every software development lifecycle, it is defined as the process to assemble the software components and produce a single product. It has been shown that software integration and integration testing can make more than 40% of the overall project cost, so it is important that they are done efficiently and easily to be able to manage the involved risks [7]. A software engineering practice called continuous integration (CI) was introduced by Kent Beck and Ron Jeffries to mitigate the risks of software integration, enhance its process and improve its quality [8]. In this research, the principles of CI are identified and applied to a case study in order to analyze their impact on the software development process quality factors

This paper presents a Multimedia Message Transmitter Tool (MMTT) that provides businesses with the opportunity to use Bluetooth wireless connectivity delivering the relevant information to relevant people in the right places and time. MMTT empowers any business to market their services or products for unlimited time with a one-time fee. It provides the ability to deliver customised content on a permission-based manner to all devices in the range of 100 m to 1 km. MMTT supports user's right of privacy and ensures spam-free delivery of content to interested users. Experimental results show that MMTT provides a viable solution for realising mobile advertising for the advertisers as well as the consumers.

This study explores the spread of malware within a digital framework by introducing a unique fractional-order model that employs the Atangana–Baleanu–Caputo (ABC) derivative. As cyber threats grow increasingly sophisticated and widespread, traditional models using classical differential equations often prove inadequate, particularly in capturing long-term memory effects and historical dependencies inherent in real-world systems. To address these challenges, the proposed approach utilizes the non-local characteristics of fractional calculus, offering a more comprehensive framework for understanding malware behavior. The model includes the derivation of the basic reproduction number, ${\Re }_0$, to evaluate conditions for malware persistence or elimination, sensitivity analysis and examines equilibrium states to assess overall system stability. Theoretical analysis ensures the existence and uniqueness of solutions through fixed-point techniques. Through numerical simulations, the theoretical results are validated, emphasizing the significant impact of antidotal and recovery measures in controlling malware spread. These findings provide essential guidance for enhancing the protection and robustness of sophisticated cyber-physical and humanoid infrastructures.