Výsledky vyhledávání - software engineering/programming and operating system*

Testing machine learning based systems: a systematic mapping Autor Riccio, Vincenzo, Jahangirova, Gunel, Stocco, Andrea, Humbatova, Nargiz, Weiss, Michael, Tonella, Paolo

“…Context: A Machine Learning based System (MLS) is a software system including one or more components that learn how to perform a task from a given data set…”
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An empirical comparison of dependency network evolution in seven software packaging ecosystems Autor Decan, Alexandre, Mens, Tom, Grosjean, Philippe

“… The software packages distributed by such package managers form large software ecosystems. These packaging ecosystems contain a large number of package releases that are updated regularly and that have many dependencies to other package releases…”
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AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems Autor Sarker, Iqbal H.

“…), with the capability of incorporating human behavior and intelligence into machines or systems. Thus, AI-based modeling is the key…”
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Test case selection and prioritization using machine learning: a systematic literature review Autor Pan, Rongqi, Bagherzadeh, Mojtaba, Ghaleb, Taher A., Briand, Lionel

“…Regression testing is an essential activity to assure that software code changes do not adversely affect existing functionalities…”
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MCMAS: an open-source model checker for the verification of multi-agent systems Autor Lomuscio, Alessio, Qu, Hongyang, Raimondi, Franco

“…We present MCMAS, a model checker for the verification of multi-agent systems. MCMAS supports efficient symbolic techniques for the verification of multi-agent…”
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Explainability in human–agent systems Autor Rosenfeld, Avi, Richardson, Ariella

“…This paper presents a taxonomy of explainability in human–agent systems. We consider fundamental questions about the Why, Who, What, When…”
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Sampling in software engineering research: a critical review and guidelines Autor Baltes, Sebastian, Ralph, Paul

“…Representative sampling appears rare in empirical software engineering research. Not all studies need representative samples, but a general lack of representative sampling undermines a scientific field…”
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How to certify machine learning based safety-critical systems? A systematic literature review Autor Tambon, Florian, Laberge, Gabriel, An, Le, Nikanjam, Amin, Mindom, Paulina Stevia Nouwou, Pequignot, Yann, Khomh, Foutse, Antoniol, Giulio, Merlo, Ettore, Laviolette, François

“… “How to Certify Machine Learning Based Safety-critical Systems?”. Method We conduct a Systematic Literature Review (SLR…”
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Perceived diversity in software engineering: a systematic literature review Autor Rodríguez-Pérez, Gema, Nadri, Reza, Nagappan, Meiyappan

“… with. Perceived diversity in Software Engineering has been recognized as a high-value team property and companies are willing to increase their efforts to create more diverse work teams…”
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A comprehensive study of bloated dependencies in the Maven ecosystem Autor Soto-Valero, César, Harrand, Nicolas, Monperrus, Martin, Baudry, Benoit

“…Build automation tools and package managers have a profound influence on software development…”
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Development of Smart Healthcare Monitoring System in IoT Environment Autor Islam, Md. Milon, Rahaman, Ashikur, Islam, Md. Rashedul

“…Healthcare monitoring system in hospitals and many other health centers has experienced significant growth, and portable healthcare monitoring systems with emerging technologies are becoming of great…”
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Logic-based technologies for multi-agent systems: a systematic literature review Autor Calegari, Roberta, Ciatto, Giovanni, Mascardi, Viviana, Omicini, Andrea

“…”—in particular, logic-based ones—will take place in the next few years. On the other hand, agents and multi-agent systems (MAS…”
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Can Offline Testing of Deep Neural Networks Replace Their Online Testing?: A Case Study of Automated Driving Systems Autor Haq, Fitash Ul, Shin, Donghwan, Nejati, Shiva, Briand, Lionel

“…We distinguish two general modes of testing for Deep Neural Networks (DNNs): Offline testing where DNNs are tested as individual units based on test datasets…”
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An artificial intelligence lightweight blockchain security model for security and privacy in IIoT systems Autor Selvarajan, Shitharth, Srivastava, Gautam, Khadidos, Alaa O., Khadidos, Adil O., Baza, Mohamed, Alshehri, Ali, Lin, Jerry Chun-Wei

“…, intelligent data, predictive analytics, and decision-making systems for improved market performance. However, traditional IIoT architectures are highly susceptible to many…”
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A decision support system for heart disease prediction based upon machine learning Autor Rani, Pooja, Kumar, Rajneesh, Ahmed, Nada M. O. Sid, Jain, Anurag

“…; an accurate decision support system can play a vital role in early-stage detection of heart disease…”
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Intrusion detection systems for IoT-based smart environments: a survey Autor Elrawy, Mohamed Faisal, Awad, Ali Ismail, Hamed, Hesham F. A.

“… The security vulnerabilities in IoT-based systems create security threats that affect smart environment applications…”
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Thirteen years of SysML: a systematic mapping study Autor Wolny, Sabine, Mazak, Alexandra, Carpella, Christine, Geist, Verena, Wimmer, Manuel

“… This standard is an extended subset of UML providing a graphical modeling language for designing complex systems by considering software as well as hardware parts…”
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Industry practices and challenges for the evolvability assurance of microservices: An interview study and systematic grey literature review Autor Bogner, Justus, Fritzsch, Jonas, Wagner, Stefan, Zimmermann, Alfred

“…Context Microservices as a lightweight and decentralized architectural style with fine-grained services promise several beneficial characteristics for sustainable long-term software evolution…”
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The state of adoption and the challenges of systematic variability management in industry Autor Berger, Thorsten, Steghöfer, Jan-Philipp, Ziadi, Tewfik, Robin, Jacques, Martinez, Jabier

“… For instance, software product line engineering—an approach to systematically develop portfolios of products…”
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A practical guide to multi-objective reinforcement learning and planning Autor Hayes, Conor F., Rădulescu, Roxana, Bargiacchi, Eugenio, Källström, Johan, Macfarlane, Matthew, Reymond, Mathieu, Verstraeten, Timothy, Zintgraf, Luisa M., Dazeley, Richard, Heintz, Fredrik, Howley, Enda, Irissappane, Athirai A., Mannion, Patrick, Nowé, Ann, Ramos, Gabriel, Restelli, Marcello, Vamplew, Peter, Roijers, Diederik M.

“…Real-world sequential decision-making tasks are generally complex, requiring trade-offs between multiple, often conflicting, objectives. Despite this, the…”
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