Employee turnover intention poses challenges for IT organizations, affecting performance and strategic goals. Despite research efforts, the factors driving turnover remain fragmented. This study conducted a systematic literature review of research published between 2015 and 2024, using PRISMA guidelines. A total of 41 studies were analyzed, identifying 29 internal and 25 external factors. Job satisfaction was the most cited internal factor, while organizational commitment was the most frequent external factor. Burnout also emerged as a key driver. These findings support IT organizations in developing targeted HR strategies to improve retention.
In this paper, we propose a method for prioritizing regression test cases based on the probability of detecting software execution failures without source code analysis. To achieve this, our method employs the SentenceBERT model to extract embeddings from textual information of development commits and test scripts. These embeddings are then used by machine learning models to predict the probability of detecting a failure. Our experiments show that the proposed method achieves results equal to or better than those of human experts in 92.52% to 94.24% of scenarios when evaluating the APFD (Average Percentage Faults Detected) metric, an overall gain of 10% in APFD mean and a potential gain of up to 6.03% in test plan prioritization counting cases.
IoT software systems research has significantly expanded recently, particularly with AI technologies' emergence and widespread adoption. Given their critical nature of continuous connectivity, such systems demand robust security measures. Therefore, it is fundamental to apply technologies that support their quality assurance (QA), specifically security. This thesis proposes strategies combining quality assurance technologies (software inspection, testing, and continuous experimentation) to enhance the final quality of these systems.
The demand for educational technology has increased research into Intelligent Tutoring Systems (ITS) for low-connectivity regions. However, misalignment between requirement discovery and software development hinders adoption. This case study examines the development of an unplugged ITS using dual-track agile development and participatory design to ensure continuous alignment with pedagogical needs. This study contributes to software engineering by demonstrating how we integrated dual-track development and participatory design to enhance agility while maintaining a user-centered approach in a project with a scalable model for ITS applications in low-resource environments.
Software technical debt may persist if the root cause is misidentified. We argue that this stems from misconceptions about antipatterns and smells. This article reviews the literature to clarify their similarities and differences. Findings suggest that both terms are used interchangeably, with “smell” being more common, though this ambiguity may affect optimal solutions in software projects.
The authorities of San Marcos' municipality (Mexico) have funded a project to develop it as a smart and sustainable place. This requires funding, technology, and expertise that they scarcely have, since they are afflicted by digital exclusion. To face the challenge, they have teamed up with Unijuí University and Santa Rosa city (Brazil) under Memoranda of Understanding (MOU) and with University of Cambridge under academic collaboration. In this paper, we (the team) discuss the main technical problems, technology used, results achieved and pending. Our strategy is to use low-cost technologies with optimised deployments to minimise maintenance and environmental costs.
We are developing Santa Rosa municipality as a smart and sustainable region that stimulates innovation. A place that will take advantage of the data–driven economy and data–centric applications with Equality, Diversity and Inclusion (EDI) as a priority. To this end, have built a pilot smart city lab for testing technologies in real-life conditions; we are currently exploring decentralised technologies and technologies with low environmental cost. Also, we are following competency frameworks for smart cities rather than deploying technologies indiscriminately. 12 years of work have produced tangible results and practical experience that we share in this paper.
Software professionals often face challenges in defining requirements and conducting thorough testing, particularly within agile development environments. The rapid and frequent iterations of agile methods encourage developers to take shortcuts to meet tight release deadlines, which may lead to low-quality software. To enhance software quality, the AUTOLINK project explores the synergies between requirements engineering and software testing, aiming to seamlessly integrate them into agile environments. AUTOLINK seeks to develop techniques that enable practitioners to improve software quality by testing it against its requirements in a way that is unobtrusive, cost-effective, and requires minimal effort.
Large Language Model (LLM) architectures such as DeepSeek-V3 demonstrate reductions in computational costs through the design of efficient architectures, but their development reveals technical debt in the software engineering principles associated with LLM development, partly caused by the multidisciplinary nature of the field. Consequently, it leads to increased development costs and challenges in software quality. To address these issues, this thesis proposes the integration of Model-Driven Engineering into the LLM development life cycle. A conceptual metamodel formalises LLM architectural constructs (RQ1), enabling automated code generation via model transformations (RQ2) and facilitating Model-Based testing (RQ3).
Teaching security analysis at university allows future professionals to acquire with the necessary skills to protect and maintain the integrity of digital infrastructures. This work presents a board game and its practical use for teaching security analysis in 1st-year bachelor students. The game has been employed in the past four years and our perception of use is positive. Being a game with a simple and most-likely known mechanics, it could be adapted and used by other educators to teach software engineering topics.
