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Proceedings of the European Computing Conference
Software testing has been considered so important that organizations can assign teams only for testing activities. Testing is an important activity to ensure software quality. Tests are usually run several times to certify that code ma- tenance did not accidentally insert defects into working parts of the software. In such situations, test teams shall be able to estimate the required effort to execute test cases in its schedules and to request more resources or negotiate deadlines when necessary. When regarding model-based testing approaches that we use in our documented Integrated and Optimized Software Testing methodology (IOSTP) [1–4], a high number of test cases can be automatically ge...
Emotions and Artificial Intelligence
Emotions have long been considered a unique human trait, but recent advances in Artificial Intelligence (AI) have led to an increasing interest in the incorporation of emotional intelligence into machines. Natural Language Processing, computer vision, and affective computing techniques, among others, are becoming involved in the detection and analysis of human emotions. The main aim is to allow machines to properly recognize, interpret, and respond to human emotions, enhancing their ability to interact with us in more meaningful ways, especially in multimodal and multimedia settings. The potential applications of this integration encompass a wide range of disciplines, from Customer Relations...
World It Project, The: Global Issues In Information Technology
Understanding the key IT issues facing firms within their surrounding contexts is critical for the firm, government, and their international counterparts.In response to the dominant and pervasive bias in Information Systems (IS) research towards American and Western views, the World IT Project was launched and is the largest study of its kind in the field. This book captures the organizational, technological, and individual issues of IT employees across 37 countries.The book enables management and staff to formulate business and IT-related policies and strategies. Likewise, it allows policymakers, governments and vendors to address important issues at the national level as well as to respond to the needs of partners and stakeholders in other countries. It also offers current and future academic scholars a grounded understanding of the international IT environment and provides a sound foundation to launch many international IT studies.
Information Security Governance using Artificial Intelligence of Things in Smart Environments
This book explores the integration of Artificial Intelligence (AI) with the Internet of Things (IoT) to address security challenges in smart environments. It delves into how AI enhances the governance of information security by automating processes, detecting threats, and ensuring the protection of data in interconnected IoT systems. It covers theoretical foundations, practical frameworks, and case studies, offering insights into securing smart cities, homes, industries, and healthcare systems. It also emphasizes governance models that leverage AI to manage security policies and risk in dynamic, data-driven ecosystems. This title focuses on the study and application of AI of Things in the field of information security governance. Intelligent environments, characterized by increasing connectivity of devices and systems, present unique challenges for information security. The use of AI of Things offers opportunities to enhance security in these complex environments.
MANAJEMEN SUMBER DAYA MANUSIA DI SEKTOR PUBLIK - Strategi, Tantangan, dan Inovasi di Era Digital
Dalam beberapa dekade terakhir, sektor publik menghadapi tantangan besar dalam pengelolaan SDM, mulai dari rekrutmen dan seleksi pegawai berbasis meritokrasi, pengembangan kompetensi aparatur sipil negara (ASN), hingga penerapan sistem manajemen kinerja yang efektif. Dengan munculnya era digital, transformasi dalam pengelolaan SDM menjadi suatu keharusan, bukan lagi pilihan. Digitalisasi telah membawa perubahan signiikan dalam sistem administrasi kepegawaian, memungkinkan birokrasi untuk lebih responsif terhadap perubahan lingkungan serta meningkatkan eisiensi dalam pengambilan keputusan. Buku ini secara komprehensif membahas berbagai strategi yang dapat diterapkan dalam manajemen SDM di sektor publik, dengan menyoroti praktik terbaik dari berbagai negara serta bagaimana inovasi dapat diterapkan di Indonesia. Berbagai tantangan yang dihadapi dalam implementasi kebijakan SDM juga dibahas secara kritis, termasuk isu birokrasi yang masih kaku, rendahnya adaptasi terhadap teknologi, serta perlunya perbaikan dalam sistem evaluasi dan pengembangan karier ASN.
Smart Data Intelligence
This book presents high-quality research papers presented at 5th International Conference on Smart Data Intelligence (ICSMDI 2025) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during January 2025. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, health care, information, and communication applications.
Smart Data Intelligence
This book presents high-quality research papers presented at 5th International Conference on Smart Data Intelligence (ICSMDI 2025) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during January 2025. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, health care, information, and communication applications.
