Search Results - "Software Engineering/Programming and Operating Systems"

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…”
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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. Existing studies show that code comments help developers comprehend…”
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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. Its interdisciplinary…”
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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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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. In this…”
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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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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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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. Library dependencies…”
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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…”
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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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AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems by Sarker, Iqbal H.

“…Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR), with the capability of…”
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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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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

“…Code smells are symptoms of poor design and implementation choices that may hinder code comprehensibility and maintainability. Despite the effort devoted by…”
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Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions by Sarker, Iqbal H.

“…Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is nowadays considered as a core technology of today’s Fourth Industrial…”
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Machine Learning: Algorithms, Real-World Applications and Research Directions by Sarker, Iqbal H.

“…In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data,…”
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AI lifecycle models need to be revised: An exploratory study in Fintech by Haakman, Mark, Cruz, Luís, Huijgens, Hennie, van Deursen, Arie

“…Tech-leading organizations are embracing the forthcoming artificial intelligence revolution. Intelligent systems are replacing and cooperating with traditional…”
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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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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. Of recent interest is the use of neural language models…”
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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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