Software testing is a fundamental pillar of software engineering which ensures that applications function correctly, meet user requirements, and remain reliable under different conditions. As software systems become more complex and the demand for faster development grows, testing strategies have evolved to meet new challenges. This paper aims to comprehensively compare traditional and modern software testing techniques to provide practitioners with a structured understanding of their evolution, strengths, limitations, and applicability. It covers classical methods such as unit testing, integration testing, system testing, acceptance testing and other testing types like black-box, white-box,... More >

Requirements elicitation is one of the most important steps in the software development process. It involves understanding what users and stakeholders need from a system before it is built. Traditionally, this has been done using methods like interviews, questionnaires, document reviews, and direct observation. These approaches work well in structured environments but often fall short when dealing with large, fast-changing, or agile projects. In recent years, software development has shifted toward more flexible and fast-paced practices. This change has also affected how requirements are gathered. New techniques now include collaborative tools, user feedback from online platforms, and the us... More >

The Industrial Internet of Things (IIoT) is a foundational pillar of Industry 4.0, enabling real-time data exchange and automation through the integration of smart sensors, actuators, and networked machinery. While this interconnectivity enhances operational efficiency and decision-making on the industrial floor, it also introduces complex cybersecurity challenges. This work reviews literature related to the IIoT with a focus on threat modeling techniques, including mitigation strategies. It comprises the theoretical frameworks and the implemented solutions within the domains of critical infrastructure and manufacturing. The coexistence of legacy control software systems, stringent real-time... More >

With the rapid advancement of deep learning, Spiking Neural Networks (SNNs) have attracted growing interest due to their low power consumption, sensitivity to temporal information, and biological plausibility. However, deploying SNNs in resource-constrained, real-time embedded environments presents significant challenges--chiefly their complex training processes, limited hardware acceleration support, and the difficulty of performing scheduling analysis. This paper presents an integrated modeling and scheduling analysis framework for SNNs based on the MARTE (Modeling and Analysis of Real-Time and Embedded Systems) standard defined by the OMG. Key SNN components--such as neurons, synapses, an... More >

This editorial introduces the ICCK Journal of Software Engineering (JSE) as an academic platform dedicated to advancing research and innovation across the full spectrum of software engineering. The journal aims to create an inclusive and high-quality space for contributions that span from core theoretical foundations to the latest practical advancements, with a strong focus on emerging technologies. Software engineering as a discipline continues to face a wide range of unresolved challenges despite its critical role in shaping the digital world. Limitations in scalability, adaptability, integration of intelligent systems, and the gap between academic research and real-world application still... More >