Relevant bibliographies by topics / Source code summarizing

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Source code summarizing'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Source code summarizing"

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Castro Lechtaler, Antonio, Marcelo Cipriano, Edith García, et al. "Other potential problems in Qlink.it." Journal of Computer Science and Technology 18, no. 02 (2018): e18. http://dx.doi.org/10.24215/16666038.18.e18.

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In previous work we presented preliminary results obtained by reviewing the source code of Qlink.it web application. In this article, after summarizing previous findings, results of the source code review of Qlink.it Android application will be described. This analysis focused on the implementation of cryptographic functionalities. The aim of this publication is also to invite other researchers to analyze the application in order to determine if Qlink.it could be considered secure.
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Pollard, Tom J., Alistair E. W. Johnson, Jesse D. Raffa, and Roger G. Mark. "tableone: An open source Python package for producing summary statistics for research papers." JAMIA Open 1, no. 1 (2018): 26–31. http://dx.doi.org/10.1093/jamiaopen/ooy012.

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Abstract Objectives In quantitative research, understanding basic parameters of the study population is key for interpretation of the results. As a result, it is typical for the first table (“Table 1”) of a research paper to include summary statistics for the study data. Our objectives are 2-fold. First, we seek to provide a simple, reproducible method for providing summary statistics for research papers in the Python programming language. Second, we seek to use the package to improve the quality of summary statistics reported in research papers. Materials and Methods The tableone package is d
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Figueredo, Grazziela P., Tanvi V. Joshi, James M. Osborne, Helen M. Byrne, and Markus R. Owen. "On-lattice agent-based simulation of populations of cells within the open-source Chaste framework." Interface Focus 3, no. 2 (2013): 20120081. http://dx.doi.org/10.1098/rsfs.2012.0081.

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Over the years, agent-based models have been developed that combine cell division and reinforced random walks of cells on a regular lattice, reaction–diffusion equations for nutrients and growth factors; and ordinary differential equations for the subcellular networks regulating the cell cycle. When linked to a vascular layer, this multiple scale model framework has been applied to tumour growth and therapy. Here, we report on the creation of an agent-based multi-scale environment amalgamating the characteristics of these models within a Virtual Physiological Human (VPH) Exemplar Project. This
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Ranjan, Ekagra, Soumya Sanyal, and Partha Talukdar. "ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 5470–77. http://dx.doi.org/10.1609/aaai.v34i04.5997.

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Graph Neural Networks (GNN) have been shown to work effectively for modeling graph structured data to solve tasks such as node classification, link prediction and graph classification. There has been some recent progress in defining the notion of pooling in graphs whereby the model tries to generate a graph level representation by downsampling and summarizing the information present in the nodes. Existing pooling methods either fail to effectively capture the graph substructure or do not easily scale to large graphs. In this work, we propose ASAP (Adaptive Structure Aware Pooling), a sparse an
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Kucheria, Priya, McKay Moore Sohlberg, Jason Prideaux, and Stephen Fickas. "Read, Understand, Learn, & Excel: Development and Testing of an Automated Reading Strategy Detection Algorithm for Postsecondary Students." American Journal of Speech-Language Pathology 28, no. 3 (2019): 1257–67. http://dx.doi.org/10.1044/2019_ajslp-18-0181.

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PurposeAn important predictor of postsecondary academic success is an individual's reading comprehension skills. Postsecondary readers apply a wide range of behavioral strategies to process text for learning purposes. Currently, no tools exist to detect a reader's use of strategies. The primary aim of this study was to develop Read, Understand, Learn, & Excel, an automated tool designed to detect reading strategy use and explore its accuracy in detecting strategies when students read digital, expository text.MethodAn iterative design was used to develop the computer algorithm for detecting
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Mendoza, Claudio, Manuel A. Bautista, Jérôme Deprince, et al. "The XSTAR Atomic Database." Atoms 9, no. 1 (2021): 12. http://dx.doi.org/10.3390/atoms9010012.

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We describe the atomic database of the xstar spectral modeling code, summarizing the systematic upgrades carried out in the past twenty years to enable the modeling of K-lines from chemical elements with atomic number Z≤30 and recent extensions to handle high-density plasmas. Such plasma environments are found, for instance, in the inner region of accretion disks round compact objects (neutron stars and black holes), which emit rich information about the system’s physical properties. Our intention is to offer a reliable modeling tool to take advantage of the outstanding spectral capabilities o
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Simonis, A., P. Poskas, A. Sirvydas, and D. Grigaliuniene. "Modeling of the Radiation Doses during Dismantling of RBMK-1500 Reactor Pressurized Tanks from Emergency Core Cooling System." Science and Technology of Nuclear Installations 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/576432.

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Decommissioning of the Ignalina Nuclear Power Plant involves multiple problems. One of them is personnel radiation safety during the performance of dismantling activities. In this paper, modeling results of radiation doses during the dismantling of the pressurized tank from the emergency core cooling system (ECCS PT) of RBMK-1500 reactor are presented. The radiological surveys indicate that the inner surface of the ECCS PT is contaminated with radioactive products of corrosion and sediments due to the radioactive water. The effective doses to the workers have been modeled for different strateg
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Hayduchok, I. G. "INNOVATIVE APPROACHES TO PHARMACOTHERAPY OF SYSTEMIC AUTOIMMUNE DISEASES IN THE CONDITIONS OF THE COVID-19 PANDEMIC." Likarska sprava, no. 7-8 (December 30, 2020): 64–74. http://dx.doi.org/10.31640/jvd.7-8.2020(8).

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Introduction. In the current context of the spread of the coronavirus pandemic, the role of pharmacotherapy in the maintenance of immunopathological syndromes among patients with systemic diseases and patients with dual health disorders is growing. The need to adjust the pharmacotherapy regimens of systemic autoimmune diseases arises when addressing issues of quality, economic and physical availability of drugs in accordance with wholesale and retail prices. In continuation of the research, the aim of the work was to study and implement innovative approaches in the pharmacotherapy of systemic
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Pavlenko, O. V. "Катастрофа «русской марсельезы» 1917 г. и ее осмысление в современной историографии". Istoricheskii vestnik, № 23(2018) part: 23/2018 (27 вересня 2019): 12–37. http://dx.doi.org/10.35549/hr.2019.2018.36607.

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istorical experience creates a particular system of codes and meanings in the culture of nations and societies. The memory of the past, with triumphs and defeats intertwined, is the basis of any form of collective identity. In some cases, the present and the past share a common historical guilt, in others, a great victory. It becomes a foundation for new moral imperatives, patriotic symbols, images of victims and heroes. For seventy years, the national historiography has been dominated by an apologetic concept of the Great October Revolution that had laid the foundation for the Soviet national
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Varabyou, Ales, Geo Pertea, Christopher Pockrandt, and Mihaela Pertea. "TieBrush: an efficient method for aggregating and summarizing mapped reads across large datasets." Bioinformatics, May 8, 2021. http://dx.doi.org/10.1093/bioinformatics/btab342.

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Abstract Summary Although the ability to programmatically summarize and visually inspect sequencing data is an integral part of genome analysis, currently available methods are not capable of handling large numbers of samples. In particular, making a visual comparison of transcriptional landscapes between two sets of thousands of RNA-seq samples is limited by available computational resources, which can be overwhelmed due to the sheer size of the data. In this work, we present TieBrush, a software package designed to process very large sequencing datasets (RNA, whole-genome, exome, etc.) into
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Dissertations / Theses on the topic "Source code summarizing"

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Tévar, Hernández Helena. "Evolution of SoftwareDocumentation Over Time : An analysis of the quality of softwaredocumentation." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97561.

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Software developers, maintainers, and testers rely on documentation to understandthe code they are working with. However, software documentation is perceivedas a waste of effort because it is usually outdated. How documentation evolvesthrough a set of releases may show whether there is any relationship between timeand quality. The results could help future developers and managers to improvethe quality of their documentation and decrease the time developers use to analyzecode. Previous studies showed that documentation used to be scarce and low inquality, thus, this research has investigated di
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Book chapters on the topic "Source code summarizing"

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Cross, Rob, and Andrew Parker. "Knowing What We Know : Supporting Knowledge Creation and Sharing in Social Networks." In Networks in the Knowledge Economy. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195159509.003.0014.

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The way in which this manager relied on his network to obtain information and knowledge critical to the success of an important project is common and likely resonates with your own experience. Usually when we think of where people turn for information or knowledge we think of databases, the Web, intranets and portals or other, more traditional, repositories such as file cabinets or policy and procedure manuals. However, a significant component of a person’s information environment consists of the relationships he or she can tap for various informational needs. For example, in summarizing a decade worth of studies, Tom Allen of Massachusetts Institute of Technology (MIT) found that engineers and scientists were roughly five times more likely to turn to a person for information than to an impersonal source such as a database or a file cabinet. In other settings, research has consistently shown that who you know has a significant impact on what you come to know, as relationships are critical for obtaining information, solving problems, and learning how to do your work. Particularly in knowledge-intensive work, creating an informational environment that helps employees solve increasingly complex and often ambiguous problems holds significant performance implications. Frequently such efforts entail knowledge-management initiatives focusing on the capture and sharing of codified knowledge and reusable work products. To be sure, these so-called knowledge bases hold pragmatic benefits. They bridge boundaries of time and space, allow for potential reuse of tools or work products employed successfully in other areas of an organization, and provide a means of reducing organizational “forgetting” as a function of employee turnover. However, such initiatives often undervalue crucial knowledge held by employees and the web of relationships that help dynamically solve problems and create new knowledge. As we move further into an economy where collaboration and innovation are increasingly central to organizational effectiveness, we must pay more attention to the sets of relationships that people rely on to accomplish their work. Certainly we can expect emerging collaborative technologies to facilitate virtual work and skill-profiling systems to help with the location of relevant expertise.
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Conference papers on the topic "Source code summarizing"

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Hu, Xing, Ge Li, Xin Xia, David Lo, Shuai Lu, and Zhi Jin. "Summarizing Source Code with Transferred API Knowledge." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/314.

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Code summarization, aiming to generate succinct natural language description of source code, is extremely useful for code search and code comprehension. It has played an important role in software maintenance and evolution. Previous approaches generate summaries by retrieving summaries from similar code snippets. However, these approaches heavily rely on whether similar code snippets can be retrieved, how similar the snippets are, and fail to capture the API knowledge in the source code, which carries vital information about the functionality of the source code. In this paper, we propose a nov
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Iyer, Srinivasan, Ioannis Konstas, Alvin Cheung, and Luke Zettlemoyer. "Summarizing Source Code using a Neural Attention Model." In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/p16-1195.

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Marin, Victor J., Iti Bansal, and Carlos R. Rivero. "Towards summarizing program statements in source code search." In SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing. ACM, 2020. http://dx.doi.org/10.1145/3341105.3374055.

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Psarras, Christos, Themistoklis Diamantopoulos, and Andreas Symeonidis. "A Mechanism for Automatically Summarizing Software Functionality from Source Code." In 2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS). IEEE, 2019. http://dx.doi.org/10.1109/qrs.2019.00028.

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Haiduc, Sonia, Jairo Aponte, Laura Moreno, and Andrian Marcus. "On the Use of Automated Text Summarization Techniques for Summarizing Source Code." In 2010 17th Working Conference on Reverse Engineering (WCRE). IEEE, 2010. http://dx.doi.org/10.1109/wcre.2010.13.

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Simonis, A., P. Poskas, and G. Poskas. "Prediction of Radiation Doses During the Dismantling of the Pressurized Tank From Emergency Core Cooling System of RBMK-1500 Reactor." In ASME 2013 15th International Conference on Environmental Remediation and Radioactive Waste Management. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icem2013-96220.

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Preparation for the decommissioning of the Ignalina Nuclear Power Plant involves multiple problems. Personnel radiation safety during the performance of dismantling activities is one of them. In order to assess the optimal personnel radiation safety, the modelling is performed for large components by the means of computer code “VISIPLAN 3D ALARA Planning tool” developed by SCK CEN (Belgium). Modelling results of radiation doses during the dismantling of the pressurized tank from the emergency core cooling system (ECCS PT) of RBMK-1500 reactor are presented in this paper. The mass of one ECCS P
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Hambric, Stephen A., Yun Fan Hwang, and Thomas S. Chyczewski. "Noise Sources and Transmission in Piping Systems." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32682.

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An overview of the vibro-acoustic behavior of fluid-filled piping systems is given, summarizing noise sources, how piping structures and fluids accept energy from noise sources, and how the energy is then transmitted and exchanged by wavetypes throughout the piping. Discrete and broad-band frequency noise sources from active components, such as pumps, and passive components, such as valves and flow over piping, are described, and scale on flow velocities and operating speeds. The turbulence in the fluid flow contributes to piping system noise and vibration. The turbulence in the core flow impi
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Qin, Libo, Tianbao Xie, Wanxiang Che, and Ting Liu. "A Survey on Spoken Language Understanding: Recent Advances and New Frontiers." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/622.

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Spoken Language Understanding (SLU) aims to extract the semantics frame of user queries, which is a core component in a task-oriented dialog system. With the burst of deep neural networks and the evolution of pre-trained language models, the research of SLU has obtained significant breakthroughs. However, there remains a lack of a comprehensive survey summarizing existing approaches and recent trends, which motivated the work presented in this article. In this paper, we survey recent advances and new frontiers in SLU. Specifically, we give a thorough review of this research field, covering diffe
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Zhou, H., Y. Q. Lu, W. D. Li, et al. "The Collaboration Abstraction Layer for Distributed CAD Development." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/cie-48280.

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In order to speed up the development of distributed CAD (DCAD) software applications and offer the end-users a friendly environment for collaborative design, Collaboration Abstraction Layer (CAL) is proposed. CAL aims to develop a pluggable software module that can be embedded into standalone CAD applications. Through summarizing and abstracting out the common characteristics of distributed CAD software, a set of foundation/helper classes for the important collaborative functionalities are enclosed in CAL, which include a 3D streaming service, a collaborative design management service, a const
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