ISSN: 1690-4524 (Online)
Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
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Analogical and Logical Thinking – In the Context of Inter- or Trans-Disciplinary Communication and Real-Life Problems Nagib Callaos , Jeremy Horne (pages: 1-17) Artificial Intelligence for Drone Swarms Mohammad Ilyas (pages: 18-22) Brains, Minds, and Science: Digging Deeper Maurício Vieira Kritz (pages: 23-28) Can AI Truly Understand Us? (The Challenge of Imitating Human Identity) Jeremy Horne (pages: 29-38) Comparison of Three Methods to Generate Synthetic Datasets for Social Science Li-jing Arthur Chang (pages: 39-44) Digital and Transformational Maturity: Key Factors for Effective Leadership in the Industry 4.0 Era Pawel Poszytek (pages: 45-48) Does AI Represent Authentic Intelligence, or an Artificial Identity? Jeremy Horne (pages: 49-68) Embracing Transdisciplinary Communication: Redefining Digital Education Through Multimodality, Postdigital Humanism and Generative AI Rusudan Makhachashvili , Ivan Semenist (pages: 69-76) Engaged Immersive Learning: An Environment-Driven Framework for Higher Education Integrating Multi-Stakeholder Collaboration, Generative AI, and Practice-Based Assessment Atsushi Yoshikawa (pages: 77-94) Focus On STEM at the Expense of Humanities: A Wrong Turn in Educational Systems Kleanthis Kyriakidis (pages: 95-101) From Disciplinary Silos to Cyber-Transdisciplinary Networks: A Plural Epistemic Model for AGI-Era Knowledge Production Cristo Leon , James Lipuma (pages: 102-115) Generative AI (Artificial Intelligence): What Is It? & What Are Its Inter- And Transdisciplinary Applications? Richard S. Segall (pages: 116-125) How Does the CREL Framework Facilitate Effective Interdisciplinary Collaboration and Experiential Learning Through Role-Playing? James Lipuma , Cristo Leon (pages: 126-145) Narwhals, Unicorns, and Big Tech's Messiah Complex: A Transdisciplinary Allegory for the Age of AI Jasmin Cowin (pages: 146-151) Playing by Feel: Gender, Emotion, and Social Norms in Overwatch Role Choice Cristo Leon , Angela Arroyo , James Lipuma (pages: 152-163) Responsible Integration of AI in Public Legal Education: Regulatory Challenges and Opportunities in Albania Adrian Leka , Brunilda Haxhiu (pages: 164-170) The Civic Mission of Universities: Transdisciplinary Communication in Practice Genejane Adarlo (pages: 171-175) The Promise and Peril of Artificial Intelligence in Higher Education James Lipuma , Cristo Leon (pages: 176-182) They Learned the Course! Why Then Do They Come to Tutorials? Russell Jay Hendel (pages: 183-187) To Use or Not to Use Artificial Intelligence (AI) to Solve Terminology Issues? Ekaterini Nikolarea (pages: 188-195) Transdisciplinary Supersymmetry: Generative AI in the Vector Space of Postdigital Humanism Rusudan Makhachashvili , Ivan Semenist (pages: 196-204) Why Is Trans-Disciplinarity So Difficult? Ekaterini Nikolarea (pages: 205-207)
ABSTRACT
A Program Recognition and Auto-Testing Approach Wen C. Pai, Chin-Ang Wu
The goals of the software testing are to assess and improve the quality of the software. An important problem in software testing is to determine whether a program has been tested enough with a testing criterion. To raise a technology to reconstruct the program structure and generating test data automatically will help software developers to improve software quality efficiently. Program recognition and transformation is a technology that can help maintainers to recover the programs’ structure and consequently make software testing properly. In this paper, a methodology to follow the logic of a program and transform to the original program graph is proposed. An approach to derive testing paths automatically for a program to test every blocks of the program is provided. A real example is presented to illustrate and prove that the methodology is practicable. The proposed methodology allows developers to recover the programs’ design and makes software maintenance properly.
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