Search Results - software engineering/programming and operating system

Sampling in software engineering research: a critical review and guidelines by 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 by 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 by 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 by 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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Testing machine learning based systems: a systematic mapping by 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 by 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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A survey and critique of multiagent deep reinforcement learning by 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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On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML by 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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Naming the pain in requirements engineering: Contemporary problems, causes, and effects in practice by 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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An empirical comparison of dependency network evolution in seven software packaging ecosystems by 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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The probabilistic model checker Storm by 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 by 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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MCMAS: an open-source model checker for the verification of multi-agent systems by 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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Curating GitHub for engineered software projects by 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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AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems by 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 by 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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Is GitHub’s Copilot as bad as humans at introducing vulnerabilities in code? by Asare, Owura, Nagappan, Meiyappan, Asokan, N.

“…Several advances in deep learning have been successfully applied to the software development process…”
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A survey of multi-agent deep reinforcement learning with communication by 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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Low-code development and model-driven engineering: Two sides of the same coin? by 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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Pandemic programming: How COVID-19 affects software developers and how their organizations can help by Ralph, Paul, Baltes, Sebastian, Adisaputri, Gianisa, Torkar, Richard, Kovalenko, Vladimir, Kalinowski, Marcos, Novielli, Nicole, Yoo, Shin, Devroey, Xavier, Tan, Xin, Zhou, Minghui, Turhan, Burak, Hoda, Rashina, Hata, Hideaki, Robles, Gregorio, Milani Fard, Amin, Alkadhi, Rana

“…Context As a novel coronavirus swept the world in early 2020, thousands of software developers began working from home…”
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