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Abstract: Sustainable Software Engineering (SSE) is slowly becoming an industry need for reasons including reputation enhancement, improved profits and more efficient practices. However, SSE has many definitions, and this is a challenge for organisations trying to build a common and broadly agreed understanding of the term. Although much research effort has gone into identifying general SSE practices, there...
Abstract: The emergence of Connected, Cooperative, and Automated Mobility (CCAM) systems has significantly transformed the safety assessment landscape. Because they integrate automated vehicle functions beyond those managed by a human driver, new methods are required to evaluate their safety. Approaches that compile evidence from multiple test environments have been proposed for type-approval and similar ev...
Abstract: In dry-land regions, salinity stress and poor soil structure can cause significant challenges to agricultural productivity, posing a growing threat to global food security. This study explores the performance of two halophytic plant species Sweet Clover (Melilotus officinalis) and Salt-bush (Atriplex canescens) under both fresh water and saline water irrigation, combined with four soil amendment t...
Abstract: This study addresses the intersection of ethics and software test automation, driven by the use of Artificial Intelligence (AI) in software testing. Complex ethical challenges arise while applying AI and automation in the different stages of software testing such as case creation and selection, test execution, resource allocation, and interpretation of test results thereafter utilised in the indus...
Abstract: As industrial PLC programs become more complex, automated testing and verification methods are needed to ensure their reliability and correctness. This paper presents PyLC+, a modular framework that translates PLC programs into Python, allowing for automated AI-driven test generation. PyLC+ builds upon our previous work, addressing limitations by adopting a class-based modular architecture that im...
Abstract: The increasing demand for autonomous machines in construction environments necessitates the development of robust object detection algorithms that can perform effectively across various weather and environmental conditions. However, challenging conditions at construction sites, such as mud splashes and vibrations, can degrade object detection performance by causing sensor occlusions and image blur...
Abstract: DevOps has significantly improved the software development life-cycle by enabling fast, automated, and continuous integration and deployment (CI/CD). However, its application to Cyber-Physical Systems (CPS) presents unique challenges that require rethinking of traditional practices. DevOps in CPS becomes even more challenging when we consider sustainability, which is becoming increasingly importan...
Abstract: The deployment of automated functions that can operate without direct human supervision has changed safety evaluation in domains seeking higher levels of automation. Unlike conventional systems that rely on human operators, these functions require new assessment frameworks to demonstrate that they do not introduce unacceptable risks under real-world conditions. To make a convincing safety claim, t...
Abstract: A key challenge in security analysis is the manual evaluation of potential security weaknesses generated by static application security testing (SAST) tools. Numerous false positives (FPs) in these reports reduce the effectiveness of security analysis. We propose using Large Language Models (LLMs) to improve the assessment of SAST findings. We investigate the ability of LLMs to reduce FPs while tr...
Abstract: Software development Effort Estimation (SEE) comprises predicting the most realistic amount of effort (e.g., in work hours) required to develop or maintain software based on incomplete, uncertain, and noisy input. Expert judgment is the dominant SEE strategy used in the industry. Yet, expert-based judgment can provide inaccurate effort estimates, leading to projects’ poor budget planning and cost ...
Abstract: Cyber-physical production systems increasingly involve collaborative robotic missions, which come with a higher demand for robustness and safety. Practitioners rely on risk assessments to identify potential failures and implement measures to mitigate their risks. Ensuring that mitigation strategies derived from risk assessments are adequately considered in the software implementation can be challe...
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