Software Testing Education and Industry Needs - Report from the ENACTEST EU Project
- URL: http://arxiv.org/abs/2510.14625v1
- Date: Thu, 16 Oct 2025 12:37:11 GMT
- Title: Software Testing Education and Industry Needs - Report from the ENACTEST EU Project
- Authors: Mehrdad Saadatmand, Abbas Khan, Beatriz Marin, Ana C. R Paiva, Nele Van Asch, Graham Moran, Felix Cammaerts, Monique Snoeck, Alexandra Mendes,
- Abstract summary: This study investigates software testing competency needs in industry, identifies knowledge gaps in current testing education, and highlights gaps not addressed in academic literature.<n>The study instrument was developed collaboratively and refined through multiple iterations to ensure comprehensive coverage of industry needs and educational gaps.
- Score: 32.12087264628839
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: The evolving landscape of software development demands that software testers continuously adapt to new tools, practices, and acquire new skills. This study investigates software testing competency needs in industry, identifies knowledge gaps in current testing education, and highlights competencies and gaps not addressed in academic literature. This is done by conducting two focus group sessions and interviews with professionals across diverse domains, including railway industry, healthcare, and software consulting and performing a curated small-scale scoping review. The study instrument, co-designed by members of the ENACTEST project consortium, was developed collaboratively and refined through multiple iterations to ensure comprehensive coverage of industry needs and educational gaps. In particular, by performing a thematic qualitative analysis, we report our findings and observations regarding: professional training methods, challenges in offering training in industry, different ways of evaluating the quality of training, identified knowledge gaps with respect to academic education and industry needs, future needs and trends in testing education, and knowledge transfer methods within companies. Finally, the scoping review results confirm knowledge gaps in areas such as AI testing, security testing and soft skills.
Related papers
- Industry Expectations and Skill Demands in Quantum Software Testing [2.198430261120653]
Quantum software testing introduces new challenges that differ fundamentally from those in classical software engineering.<n>This study investigates how the quantum software industry defines testing roles and what skills are expected from professionals in these positions.
arXiv Detail & Related papers (2025-12-16T19:23:04Z) - Software Fairness Testing in Practice [0.21427777919040417]
This study investigates how software professionals test AI-powered systems for fairness through interviews with 22 practitioners working on AI and ML projects.<n>Our findings highlight a significant gap between theoretical fairness concepts and industry practice.<n>Key challenges include data quality and diversity, time constraints, defining effective metrics, and ensuring model interoperability.
arXiv Detail & Related papers (2025-06-20T16:03:02Z) - A Mapping Study About Training in Industry Context in Software Engineering [0.1198370250838819]
This study aims to map the current state of research on corporate training in software engineering in industry settings.<n>A systematic mapping study was conducted involving the selection and analysis of 26 primary studies published in the field.
arXiv Detail & Related papers (2025-06-14T18:08:01Z) - Beyond the Classroom: Bridging the Gap Between Academia and Industry with a Hands-on Learning Approach [2.8123958518740544]
Self-adaptive software systems have emerged as a critical focus in software design and operation.<n>A survey among practitioners identified that the lack of knowledgeable individuals has hindered its adoption in the industry.<n>We present our experience teaching a course on self-adaptive software systems that integrates theoretical knowledge and hands-on learning with industry-relevant technologies.
arXiv Detail & Related papers (2025-04-14T21:32:25Z) - A pragmatic look at education and training of software test engineers: Further cooperation of academia and industry is needed [1.516251872371896]
It is important for both university educators and trainers in industry to be aware of the status of software testing education in academia.
This paper provides a pragmatic overview of the issue, presents several recommendations, and hopes to trigger further discussions.
arXiv Detail & Related papers (2024-08-12T13:39:52Z) - Charting a Path to Efficient Onboarding: The Role of Software
Visualization [49.1574468325115]
The present study aims to explore the familiarity of managers, leaders, and developers with software visualization tools.
This approach incorporated quantitative and qualitative analyses of data collected from practitioners using questionnaires and semi-structured interviews.
arXiv Detail & Related papers (2024-01-17T21:30:45Z) - Towards Quantum Federated Learning [80.1976558772771]
Quantum Federated Learning aims to enhance privacy, security, and efficiency in the learning process.
We aim to provide a comprehensive understanding of the principles, techniques, and emerging applications of QFL.
As the field of QFL continues to progress, we can anticipate further breakthroughs and applications across various industries.
arXiv Detail & Related papers (2023-06-16T15:40:21Z) - Machine Unlearning: A Survey [56.79152190680552]
A special need has arisen where, due to privacy, usability, and/or the right to be forgotten, information about some specific samples needs to be removed from a model, called machine unlearning.
This emerging technology has drawn significant interest from both academics and industry due to its innovation and practicality.
No study has analyzed this complex topic or compared the feasibility of existing unlearning solutions in different kinds of scenarios.
The survey concludes by highlighting some of the outstanding issues with unlearning techniques, along with some feasible directions for new research opportunities.
arXiv Detail & Related papers (2023-06-06T10:18:36Z) - Towards Informed Design and Validation Assistance in Computer Games
Using Imitation Learning [65.12226891589592]
This paper proposes a new approach to automated game validation and testing.
Our method leverages a data-driven imitation learning technique, which requires little effort and time and no knowledge of machine learning or programming.
arXiv Detail & Related papers (2022-08-15T11:08:44Z) - Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper [50.25428141435537]
Artificial Intelligence for IT Operations (AIOps) is an emerging interdisciplinary field arising in the intersection between machine learning, big data, streaming analytics, and the management of IT operations.
Main aim of the AIOPS workshop is to bring together researchers from both academia and industry to present their experiences, results, and work in progress in this field.
arXiv Detail & Related papers (2021-01-15T10:43:10Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.