Výsledky vyhľadávania - Software Engineering/Programming and Operating Systems.

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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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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Deep code comment generation with hybrid lexical and syntactical information Autor Hu, Xing, Li, Ge, Xia, Xin, Lo, David, Jin, Zhi

“…During software maintenance, developers spend a lot of time understanding the source code…”
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FixMiner: Mining relevant fix patterns for automated program repair Autor Koyuncu, Anil, Liu, Kui, Bissyandé, Tegawendé F., Kim, Dongsun, Klein, Jacques, Monperrus, Martin, Le Traon, Yves

“…Patching is a common activity in software development. It is generally performed on a source code base to address bugs or add new functionalities…”
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A survey and critique of multiagent deep reinforcement learning Autor Hernandez-Leal, Pablo, Kartal, Bilal, Taylor, Matthew E.

“…Deep reinforcement learning (RL) has achieved outstanding results in recent years. This has led to a dramatic increase in the number of applications and…”
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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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Do developers update their library dependencies?: An empirical study on the impact of security advisories on library migration Autor Kula, Raula Gaikovina, German, Daniel M., Ouni, Ali, Ishio, Takashi, Inoue, Katsuro

“…Third-party library reuse has become common practice in contemporary software development, as it includes several benefits for developers…”
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Naming the pain in requirements engineering: Contemporary problems, causes, and effects in practice Autor Fernández, D. Méndez, Wagner, S., Kalinowski, M., Felderer, M., Mafra, P., Vetrò, A., Conte, T., Christiansson, M.-T., Greer, D., Lassenius, C., Männistö, T., Nayabi, M., Oivo, M., Penzenstadler, B., Pfahl, D., Prikladnicki, R., Ruhe, G., Schekelmann, A., Sen, S., Spinola, R., Tuzcu, A., de la Vara, J. L., Wieringa, R.

“…Requirements Engineering (RE) has received much attention in research and practice due to its importance to software project success…”
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On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML Autor Cámara, Javier, Troya, Javier, Burgueño, Lola, Vallecillo, Antonio

“…Most experts agree that large language models (LLMs), such as those used by Copilot and ChatGPT, are expected to revolutionize the way in which software is developed…”
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The probabilistic model checker Storm Autor Hensel, Christian, Junges, Sebastian, Katoen, Joost-Pieter, Quatmann, Tim, Volk, Matthias

“…We present the probabilistic model checker Storm . Storm supports the analysis of discrete- and continuous-time variants of both Markov chains and Markov…”
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Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas Autor Adel, Amr

“…Industry 4.0 has been provided for the last 10 years to benefit the industry and the shortcomings; finally, the time for industry 5.0 has arrived. Smart…”
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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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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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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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On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation Autor Palomba, Fabio, Bavota, Gabriele, Penta, Massimiliano Di, Fasano, Fausto, Oliveto, Rocco, Lucia, Andrea De

“… Despite the effort devoted by the research community in studying code smells, the extent to which code smells in software systems affect software maintainability remains still unclear…”
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Curating GitHub for engineered software projects Autor Munaiah, Nuthan, Kroh, Steven, Cabrey, Craig, Nagappan, Meiyappan

“…Software forges like GitHub host millions of repositories. Software engineering researchers have been able to take advantage of such a large corpora of potential study subjects with the help of tools like GHTorrent and Boa…”
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A survey of multi-agent deep reinforcement learning with communication Autor Zhu, Changxi, Dastani, Mehdi, Wang, Shihan

“…Communication is an effective mechanism for coordinating the behaviors of multiple agents, broadening their views of the environment, and to support their…”
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Is GitHub’s Copilot as bad as humans at introducing vulnerabilities in code? Autor Asare, Owura, Nagappan, Meiyappan, Asokan, N.

“…Several advances in deep learning have been successfully applied to the software development process…”
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Low-code development and model-driven engineering: Two sides of the same coin? Autor Di Ruscio, Davide, Kolovos, Dimitris, de Lara, Juan, Pierantonio, Alfonso, Tisi, Massimo, Wimmer, Manuel

“…The last few years have witnessed a significant growth of so-called low-code development platforms (LCDPs) both in gaining traction on the market and…”
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Software defect prediction using Bayesian networks Autor Okutan, Ahmet, Yıldız, Olcay Taner

“…There are lots of different software metrics discovered and used for defect prediction in the literature…”
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