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Relevant bibliographies by topics / Repository software

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Academic literature on the topic 'Repository software'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Repository software"

1

Gicca, Greg. "Reuse_system software repository tool concepts." ACM SIGAda Ada Letters XI, no. 1 (January 2, 1991): 70–82. http://dx.doi.org/10.1145/122037.122039.

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Spacco, Jaime, Jaymie Strecker, David Hovemeyer, and William Pugh. "Software repository mining with Marmoset." ACM SIGSOFT Software Engineering Notes 30, no. 4 (July 2005): 1–5. http://dx.doi.org/10.1145/1082983.1083149.

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Alexander, Roger T., James M. Bieman, and Robert B. France. "A software engineering research repository." ACM SIGSOFT Software Engineering Notes 29, no. 5 (September 2004): 1–4. http://dx.doi.org/10.1145/1022494.1022532.

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Banker, R. D., R. J. Kauffman, and D. Zweig. "Repository evaluation of software reuse." IEEE Transactions on Software Engineering 19, no. 4 (April 1993): 379–89. http://dx.doi.org/10.1109/32.223805.

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Mughal, Muhammad Hussain, and Zubair Ahmed Shaikh. "Software Atom: An approach towards software components structuring to improve reusability." Sukkur IBA Journal of Computing and Mathematical Sciences 1, no. 2 (December 31, 2017): 66. http://dx.doi.org/10.30537/sjcms.v1i2.31.

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Diversity of application domain compelled to design sustainable classification scheme for significantly amassing software repository. The atomic reusable software components are articulated to improve the software component reusability in volatile industry. Numerous approaches of software classification have been proposed over past decades. Each approach has some limitations related to coupling and cohesion. In this paper, we proposed a novel approach by constituting the software based on radical functionalities to improve software reusability. We analyze the element's semantics in Periodic Table used in chemistry to design our classification approach, and present this approach using tree-based classification to curtail software repository search space complexity and further refined based on semantic search techniques. We developed a Global unique Identifier (GUID) for indexing the functions and related components. We have exploited the correlation between chemistry element and software elements to simulate one to one mapping between them. Our approach is inspired from sustainability chemical periodic table. We have proposed software periodic table (SPT) representing atomic software components extracted from real application software. Based on SPT classified repository tree parsing & extraction to enable the user to program their software by customizing the ingredients of software requirements. The classified repository of software ingredients assist user to exploits their requirements to software engineer and enable requirement engineer to develop a rapid large-scale prototype with great essence. Furthermore, we would predict the usability of the categorized repository based on feedback of users. The continuous evolution of that proposed repository will be fine-tuned based on utilization and SPT would be gradually optimized by ant colony optimization techniques. Succinctly would provoke automating the software development process.

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Asmad, Chusnul Chatimah, Taufiq Mathar, A. Khaidir Akbar, Nur Arifin, Hijrana ,, Haruddin ,, Irmawati ,, Irawati ,, and Satriani ,. "Tren Perkembangan Open Access Institutional Repository pada Perguruan Tinggi di Indonesia." Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan 6, no. 2 (December 28, 2018): 168. http://dx.doi.org/10.24252/kah.v6i2a8.

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Open Access (OA) atau akses terbuka dapat menjadi jalan alternatif dalam menyebarkan informasi ilmiah kepada seluruh dunia tanpa dibatasi ruang dan waktu. Repositori institusi atau instutional repository (IR) telah banyak diaplikasikan pada beberapa perguruan tinggi di Indonesia. Tulisan ini mendeskripsikan pemetaan perkembangan repositori institusi perguruan tinggi di Indonesia yang open akses dan perangkat lunak yang digunakannya pada portal OpenDOAR. Penelitian ini terbatas pada repositori institusi perguruan tinggi yang telah terdaftar di OpenDoar saja. Hasil penelitian menunjukkan bahwa terdapat peningkatan jumlah perkembangan repositori di Indonesia pada OpenDOAR mulai dari tahun 2008 hingga 2018 ini. Sementara perangkat lunak yang digunakan ialah Eprints, Dspace, dan lainnya.ABSTRACT Open Access (OA) can be an alternative way of disseminating scientific information to the globe without limited by space and time. Institutional repositories (IR) have been widely applied to several universities in Indonesia. This paper describes the mapping of the development of open access institutional universities in Indonesia and the software used from the OpenDOAR website. This research is limited to the repository of tertiary institutions that have been registered in OpenDoar only. The results showed that there was an increase in the number of repository developments in Indonesia in OpenDOAR starting from 2008 to 2018. While the software used is Eprints, Dspace, and others.

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Ribeiro, Tayse Virgulino. "Android Applications based on software repository analysis." Singular Engenharia, Tecnologia e Gestão 1, no. 2 (October 19, 2019): 6–13. http://dx.doi.org/10.33911/singular-etg.v1i2.55.

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Context: Software repositories have been a source for studies about software evolution and its relation to software defects. In addition, the context of repositories has also been used for the purpose of analyzing refactoring practiced by programmers throughout the development process. Objective: Our objective is based on android projects stored in software repositories, to determine what types of transformations, that is, which refactorings are used, seeking to relate them to quality and security factors. Method: This research uses as an approach an exploratory study of a qualitative character, based on a systematic review of the literature, which will be carried out between the period from 2015 to 2019, as well as the application of research and quality criteria regarding the work context. In addition, develop a case study with projects for Android, relating refactoring quality criteria to non-aggregated projects in software repositories, glimpsing comparative and resulting factors. Expected results: It is expected with this review analysis and a summary of existing literature on Code Quality in the process of Software Refactoring for Android projects. Conclusions: The research is guided by this approach in identifying the types of refactorings practiced and extracting the related quality factors in the development process. We believe that our results will benefit in the updating and summary of the literature in the context of refactoring, glimpsing comparative factors.

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Dotti, Andrea, Hans Wenzel, Daniel Elvira, Krzysztof Genser, Julia Yarba, Federico Carminati, Gunter Folger, Dmitri Konstantinov, Witold Pokorski, and Alberto Ribon. "Software aspects of the Geant4 validation repository." Journal of Physics: Conference Series 898 (October 2017): 042030. http://dx.doi.org/10.1088/1742-6596/898/4/042030.

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Neugebauer, Tomasz, and Bin Han. "Batch Ingesting into EPrints Digital Repository Software." Information Technology and Libraries 31, no. 1 (March 1, 2008): 113. http://dx.doi.org/10.6017/ital.v31i1.1861.

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<p>This paper describes the batch importing strategy and workflow used for the import of theses metadata and PDF documents into the EPrints digital repository software. A two-step strategy of importing metadata in MARC format followed by attachment of PDF documents is described in detail, including Perl source code for scripts used. The processes described were used in the ingestion of 6,000 theses metadata and PDFs into an EPrints institutional repository. <strong></strong></p>

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Bernstein, Pillip A. "Repository system engineering." ACM SIGMOD Record 25, no. 2 (June 1996): 542. http://dx.doi.org/10.1145/235968.280348.

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Dissertations / Theses on the topic "Repository software"

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Wang, Wanjie. "A repository of software components." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0007/MQ41647.pdf.

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Liao, Gang. "Information repository design for software evolution." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ34039.pdf.

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Wang, Hui. "Software Defects Classification Prediction Based On Mining Software Repository." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-216554.

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An important goal during the cycle of software development is to find and fix existing defects as early as possible. This has much to do with software defects prediction and management. Nowadays,many big software development companies have their own development repository, which typically includes a version control system and a bug tracking system. This has no doubt proved useful for software defects prediction. Since the 1990s researchers have been mining software repository to get a deeper understanding of the data. As a result they have come up with some software defects prediction models the past few years. There are basically two categories among these prediction models. One category is to predict how many defects still exist according to the already captured defects data in the earlier stage of the software life-cycle. The other category is to predict how many defects there will be in the newer version software according to the earlier version of the software defects data. The complexities of software development bring a lot of issues which are related with software defects. We have to consider these issues as much as possible to get precise prediction results, which makes the modeling more complex. This thesis presents the current research status on software defects classification prediction and the key techniques in this area, including: software metrics, classifiers, data pre-processing and the evaluation of the prediction results. We then propose a way to predict software defects classification based on mining software repository. A way to collect all the defects during the development of software from the Eclipse version control systems and map these defects with the defects information containing in software defects tracking system to get the statistical information of software defects, is described. Then the Eclipse metrics plug-in is used to get the software metrics of files and packages which contain defects. After analyzing and preprocessing the dataset, the tool(R) is used to build a prediction models on the training dataset, in order to predict software defects classification on different levels on the testing dataset, evaluate the performance of the model and comparedifferent models’ performance.

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Danish, Muhammad Rafique, and Sajjad Ali Khan. "Component Repository Browser." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-7707.

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The main goal of this thesis is to investigate efficient searching mechanisms for searching and retrieving software components across different remote repositories and implement a supporting prototype called “Component Repository Browser” using the plug-in based Eclipse technology for PROGRESS-IDE. The prototype enables users to search the ProCom components and to import the desired components from a remote repository server over different protocols such as HTTP, HTTPS, and/or SVN. Several component searching mechanisms and suggestions were studied and examined such as keyword, facet-based search, folksonomy classification, and signature matching, from which we selected keyword search along with facet-based searching technique to help component searchers to efficiently find the desired components from a remote repository.

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Tou, Chi Pio. "Pluggable repository for Internet-based software engineering environment." Thesis, University of Macau, 1999. http://umaclib3.umac.mo/record=b1447767.

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Arafat, Omar. "Metodologia per semplificare lo studio dei repository software." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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L'obiettivo di questo elaborato è quello di illustrare una tecnologia volta a semplificare l'analisi e il reperimento di informazioni utili allo studio di data set di grandi dimensioni. Indagheremo circa i vantaggi e le difficoltà che derivano dallo studio di repository software. Gli strumenti trattati sono Boa e FreeMarker. Boa è un progetto sviluppato dalla Iowa State University of Science and Technology, presentato all'interno di ICSE-13, nato con lo scopo di semplificare l'operazione di data mining su repository software di diversa natura. Boa sarà l'oggetto dell'indagine di cui al secondo capitolo, dove si analizzerà il linguaggio specifico e l'infrastuttura a supporto. È un caso di studio di particolare interesse poiché è stato oggetto della “mining challenge” all'interno della MSR 2016 A seguire si illustrerà brevemente FreeMarker e come possa essere usato per semplificare l'esposizione e il riuso dei dati di studio. Si tratta di un template engine, sviluppato dalla Apache Foundation, che permette di automatizzare la rappresentazione dei risultati prodotti dal data mining. Al termine dell'elaborato verrà esposto il codice prodotto per integrare l'uso delle tecnologie precedentemente introdotte, attraverso la classe Java Test.

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BURÉGIO, Vanilson André de Arruda. "Specification, design and implementation of a reuse repository." Universidade Federal de Pernambuco, 2006. https://repositorio.ufpe.br/handle/123456789/2641.

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Made available in DSpace on 2014-06-12T15:59:51Z (GMT). No. of bitstreams: 2 arquivo5652_1.pdf: 2564164 bytes, checksum: 6b08baa8253889819823661c59e9a6a0 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2006
A disciplina de Reuso de Software tem crescido em importância, tornando-se uma ferramenta estratégica para empresas que almejam um aumento de produtividade, a obtenção de baixos custos e a alta qualidade dos seus produtos. Porém, antes de obtermos as vantagens inerentes ao reuso, é preciso termos mecanismos hábeis a fim de facilitar o armazenamento, a busca, a recuperação e o gerenciamento dos artefatos reusáveis. Nesse contexto, encaixa-se a idéia de repositórios de reuso. Um repositório de reuso pode ser entendido como uma base preparada para o armazenamento e a recuperação de componentes. O mesmo pode ser visto também, como um grande facilitador, que atua como suporte aos engenheiros de software e outros usuários no processo de desenvolvimento de software para e com reuso. Na literatura, existem diversos trabalhos que exploram repositórios de reuso, porém, o foco desses trabalhos está, quase sempre, voltado a questões de busca e recuperação de componentes e, muitas vezes, aspectos importantes de repositórios de reuso não são explorados adequadamente, como, por exemplo, o uso destes como ferramenta para auxiliar gerentes no monitoramento e controle do reuso em uma organização. Por outro lado, algumas questões levantadas por empresas que desejam construir um repositório de reuso continuam mal respondidas. Tais questões geralmente incluem: Que papéis um repositório deve desempenhar no contexto de reutilização? Quais são os principais requisitos de um repositório de reuso? Quais as alternativas práticas existentes? Como um repositório de reuso pode ser projetado? Motivado por essas questões, esta dissertação apresenta a especificação, o projeto e a implementação de um repositório de reuso baseado na análise das soluções existentes e em uma experiência prática de construção de um ambiente de reuso para fábricas de software. Adicionalmente, são discutidos os resultados obtidos, os problemas encontrados, e as direções futuras para pesquisa e o desenvolvimento

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Deka, Dipen. "THE ROLE OF OPEN SOURCE SOFTWARE IN BUILDING INSTITUTIONAL REPOSITORY." INFLIBNET, 2006. http://hdl.handle.net/10150/106417.

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Advances in Information Communication Technology (ICT) has created immense methods for creating, storing, maintaining, accessing and preserving the traditional printed documents in digital form. The different publishers have taken the full advantage of publishing the research outputs of the academicians and deprive the institutions and the community of the institution from the research outputs. This paper explores the importance of Institutional Repository (IR) and the role of the Open Source Software (OSS) in building the Institutional Repository of any institution. To publish and serve the community of an institution building institutional repositories is the most feasible solution. We have to take the help of some special software packages to build up an institutional repository and the role of open source software in this regard is very important. The institutions which are economically not strong enough can take the advantage of usingopen source software to build up their own institutional repository and can expose their knowledge stock to the world.

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Moura, Dionatan de Souza. "Software Profile RAS : estendendo a padronização do Reusable Asset Specification e construindo um repositório de ativos." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/87582.

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O reúso de software enfrenta inúmeras barreiras gerenciais, técnicas e culturais na sua adoção, e a definição da estrutura de ativos reutilizáveis de software é uma dessas barreiras técnicas. Para solucionar isso, o Reusable Asset Specification (RAS) é um padrão de facto proposto pela OMG. Uma especificação como o RAS define e padroniza um modelo de ativos (assets) reutilizáveis, e é a base para a construção e para o uso de um repositório de ativos que apoia a reutilização de software. No entanto, para ser adotado na prática, o RAS necessita resolver suas lacunas através da sua extensão e da definição de informações complementares. Essas lacunas estão detalhadas neste trabalho. Solucionando estas lacunas, o RAS torna-se útil para auxiliar efetivamente na padronização do empacotamento dos ativos reutilizáveis e para guiar a estrutura do repositório de reutilização de software. Alguns trabalhos anteriores já responderam parcialmente essa questão, porém eles atendiam propósitos muito específicos, não possuíam uma ferramenta de apoio ou não haviam sido avaliados em contexto real de (re)uso. Esse trabalho propõe o Software Profile RAS (SW-RAS), uma extensão do Profile de componentes do RAS, que propõe soluções para diversas de suas lacunas, incluindo informações úteis e artefatos relevantes apontados na literatura, baseados em outros modelos de ativos reutilizáveis, em outras extensões do RAS e na experiência do processo de reúso no desenvolvimento de software. Particularmente, o SW-RAS estende as categorias de classificação, solução, uso e ativos relacionados, cujos detalhes estão descritos no texto. Visando à experimentação da proposta através de um estudo de caso, desenvolveu-se o Lavoi, um repositório de ativos reutilizáveis baseado no SW-RAS, que foi avaliado num ambiente real de reutilização e desenvolvimento de software de uma grande companhia pública de TI. Uma descrição deste processo de avaliação em um contexto real é também apresentada neste trabalho. A principal contribuição desta dissertação é a proposta, a avaliação e a consolidação de uma extensão do RAS que atende várias de suas lacunas e é suportada por uma ferramenta de software livre.
The software reuse faces numerous managerial, technical and cultural barriers in its adoption, and the definition of the structure of reusable software assets is one of these technical barriers. To solve this, the Reusable Asset Specification (RAS) is a de facto standard proposed by OMG. A specification such as the RAS defines and standardizes a reusable asset model, and it is the foundation for the construction and for the use of an asset repository that supports the software reuse. However, for being adopted in the practice, the RAS needs to solve its lacks through its extension and the definition of complementary information. These lacks are detailed in this work. Solving these lacks, the RAS becomes useful to help effectively in the standardization of packaging reusable assets and to guide the structure of the software reuse repository. Some previous works have already partially answered this question, but they attended very specific purposes, did not have a support tool or have not been evaluated in a real context of (re)use. This work proposes the Software Profile RAS (SW-RAS), an extension of the component Profile of RAS, which proposes solutions for its various lacks, including useful information and relevant artifacts pointed out in the literature, based on other reusable asset models, on other RAS extensions and on the experience in the reuse process at software development. Particularly, the SW-RAS extends the categories of classification, solution, usage and related assets, whose details are described in the text. Aiming at the experimentation of the proposal through a case study, the Lavoi was developed, a reusable asset repository based on the SW-RAS, which is was evaluated in a real environment of reuse and software development of a large public IT company. A description of this evaluation process in real context is also presented in this work. The main contribution of this dissertation is the proposal, the evaluation and the consolidation of an extension of RAS that addresses several of its lacks and is supported by a free software tool.

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Kasianenko, Stanislav. "Predicting Software Defectiveness by Mining Software Repositories." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78729.

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One of the important aims of the continuous software development process is to localize and remove all existing program bugs as fast as possible. Such goal is highly related to software engineering and defectiveness estimation. Many big companies started to store source code in software repositories as the later grew in popularity. These repositories usually include static source code as well as detailed data for defects in software units. This allows analyzing all the data without interrupting programing process. The main problem of large, complex software is impossibility to control everything manually while the price of the error can be very high. This might result in developers missing defects on testing stage and increase of maintenance cost. The general research goal is to find a way of predicting future software defectiveness with high precision. Reducing maintenance and development costs will contribute to reduce the time-to-market and increase software quality. To address the problem of estimating residual defects an approach was found to predict residual defectiveness of a software by the means of machine learning. For a prime machine learning algorithm, a regression decision tree was chosen as a simple and reliable solution. Data for this tree is extracted from static source code repository and divided into two parts: software metrics and defect data. Software metrics are formed from static code and defect data is extracted from reported issues in the repository. In addition to already reported bugs, they are augmented with unreported bugs found on “discussions” section in repository and parsed by a natural language processor. Metrics were filtered to remove ones, that were not related to defect data by applying correlation algorithm. Remaining metrics were weighted to use the most correlated combination as a training set for the decision tree. As a result, built decision tree model allows to forecast defectiveness with 89% chance for the particular product. This experiment was conducted using GitHub repository on a Java project and predicted number of possible bugs in a single file (Java class). The experiment resulted in designed method for predicting possible defectiveness from a static code of a single big (more than 1000 files) software version.

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Books on the topic "Repository software"

1

Liao, Gang. Information repository design for software evolution. Toronto: University of Toronto, Dept. of Computer Science, 1998.

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Cameron, Debra. IBM's AD/Cycle and Repository. Charleston, S.C., U.S.A: Computer Technology Research Corp., 1990.

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McClure, Carma L. The three Rs of software automation: Re-engineering, repository, reusability. Englewood Cliffs, N.J: Prentice Hall, 1992.

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Tannenbaum, Adrienne. Implementing a corporate repository: The models meet reality. New York: J. Wiley, 1994.

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The Ada software repository and the Defense Data Network : a resource handbook. New York, NY: New York Zoetrope, 1986.

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Bradley, Kevin. Memory of the world: Towards an open source repository and preservation : recommendations on the implementation of an open source digital archival and preservation system and on related software development. Paris: United Nations Educational, Scientific and Cultural Organization, 2007.

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David, Eichmann, and United States. National Aeronautics and Space Administration., eds. Object links in the repository. [Houston, Tex.?]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1991.

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Object links in the repository. [Houston, Tex.?]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1991.

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United States. National Aeronautics and Space Administration., ed. Repository-based software engineering program: Concept document. [Houston, Tex.?]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1992.

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United States. National Aeronautics and Space Administration., ed. Repository-based software engineering program: Concept document. [Houston, Tex.?]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1992.

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Book chapters on the topic "Repository software"

1

Henrich, Andreas. "Repository based software cost estimation." In Lecture Notes in Computer Science, 653–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0022073.

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Ye, Yunwen, and Gerhard Fischer. "Promoting Reuse with Active Reuse Repository Systems." In Software Reuse: Advances in Software Reusability, 302–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-44995-9_18.

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Buxmann, Peter, Frank Rose, and Wolfgang König. "Wiederverwendung von Software-Elementen: Das Java Repository." In Software-Management ’97, 195–207. Wiesbaden: Vieweg+Teubner Verlag, 1997. http://dx.doi.org/10.1007/978-3-322-85166-6_13.

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Goto, Takaaki, Takahiro Homma, Kensei Tsuchida, and Tetsuro Nishino. "Software Development Education Based on UEC Software Repository." In Software and Network Engineering, 55–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28670-4_5.

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Banker, Rajiv D., Tomas Isakowitz, Robert J. Kauffman, Rachna Kumar, and Dani Zweig. "Tools for Managing Repository Objects." In Software Engineering Economics and Declining Budgets, 117–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78878-9_8.

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Varma, Susheel, and Mike Holcombe. "Shared Code Repository: A Narrative." In Extreme Programming and Agile Processes in Software Engineering, 329–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499053_71.

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Michalik, Bartosz, and Jerzy Nawrocki. "Towards Decision Centric Repository of Architectural Knowledge." In Advances in Software Engineering Techniques, 3–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28038-2_1.

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Schauer, Reinhard, Rudolf K. Keller, Bruno Laguë, Gregory Knapen, Sébastien Robitaille, and Guy Saint-Denis. "The SPOOL Design Repository: Architecture, Schema, and Mechanisms." In Advances in Software Engineering, 269–94. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21599-0_13.

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Feldmann, Raimund L. "On developing a repository structure tailored for reuse with improvement." In Learning Software Organizations, 51–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/bfb0101413.

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Debbarma, Tribid, and K. Chandrasekaran. "Sustainable Software Development with a Shared Repository." In Advances in Intelligent Systems and Computing, 321–31. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8633-5_32.

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Conference papers on the topic "Repository software"

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Rushton, Gary, and Peter Abowd. "SAE J2746 Software Assessment Repository." In SAE World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2009. http://dx.doi.org/10.4271/2009-01-0264.

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Vouillon, Jérôme, Mehdi Dogguy, and Roberto Di Cosmo. "Easing software component repository evolution." In ICSE '14: 36th International Conference on Software Engineering. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2568225.2568262.

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Spacco, Jaime, Jaymie Strecker, David Hovemeyer, and William Pugh. "Software repository mining with Marmoset." In the 2005 international workshop. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1083142.1083149.

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Adamu, Alhassan, Wan Mohd Nazmee Wan Zainon, and Hamza Onoruoiza Salami. "Pre-filtering repository models." In 2015 9th Malaysian Software Engineering Conference (MySEC). IEEE, 2015. http://dx.doi.org/10.1109/mysec.2015.7475222.

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Bennett, Michael G. "EDM council semantics repository next steps." In Ontology-Driven Software Engineering. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1937128.1937131.

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Vouillon, Jerome, and Roberto Di Cosmo. "Broken sets in software repository evolution." In 2013 35th International Conference on Software Engineering (ICSE). IEEE, 2013. http://dx.doi.org/10.1109/icse.2013.6606587.

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Robillard, Martin P., Mathieu Nassif, and Shane McIntosh. "Threats of Aggregating Software Repository Data." In 2018 IEEE International Conference on Software Maintenance and Evolution (ICSME). IEEE, 2018. http://dx.doi.org/10.1109/icsme.2018.00009.

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Robbes, Romain. "Mining a Change-Based Software Repository." In Fourth International Workshop on Mining Software Repositories. IEEE, 2007. http://dx.doi.org/10.1109/msr.2007.18.

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Bajracharya, Sushil, Joel Ossher, and Cristina Lopes. "Sourcerer: An internet-scale software repository." In 2009 ICSE Workshop on Search-Driven Development-Users, Infrastructure, Tools and Evaluation (SUITE). IEEE, 2009. http://dx.doi.org/10.1109/suite.2009.5070010.

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Navarro, J. P., Craig A. Stewart, Richard Knepper, Lee Liming, David Lifka, and Maytal Dahan. "The Community Software Repository from XSEDE." In PEARC17: Practice and Experience in Advanced Research Computing 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3093338.3093373.

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Reports on the topic "Repository software"

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Solderitsch, James J. UR40 - Repository Integration Librarian Software (User's Manual). Volume 1. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada229313.

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Ward, T. Repository Guidelines and Standards for the Software Technology for Adaptable, Reliable Systems. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada228484.

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Kutoroff, S. Practical Aspects of Repository Operations for the Software Technology for Adaptable, Reliable Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada228455.

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Johnson, Jean, and Curtis Blais. Software Hardware Asset Reuse Enterprise (SHARE) Repository Framework Final Report: Component Specification and Ontology. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada494022.

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Johnson, Jean, and Curtis Blais. Software Hardware Asset Reuse Enterprise (SHARE) Repository Framework Final Report: Component Specification and Ontology. Fort Belvoir, VA: Defense Technical Information Center, August 2009. http://dx.doi.org/10.21236/ada510387.

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Ward, T. Repository Operations and Procedures for the Software Technology for Adaptable, Reliable Systems (STARS) Program. Fort Belvoir, VA: Defense Technical Information Center, March 1990. http://dx.doi.org/10.21236/ada228472.

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Ekman, R. H. Repository Guidebook (Final) Technical Report for the Software Technology for Adaptable, Reliable Systems (STARS) Program. Fort Belvoir, VA: Defense Technical Information Center, April 1990. http://dx.doi.org/10.21236/ada228474.

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Neymark, J., and D. Roberts. Deep in Data. Empirical Data Based Software Accuracy Testing Using the Building America Field Data Repository. Office of Scientific and Technical Information (OSTI), June 2013. http://dx.doi.org/10.2172/1220085.

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Howard, Isaac, Thomas Allard, Ashley Carey, Matthew Priddy, Alta Knizley, and Jameson Shannon. Development of CORPS-STIF 1.0 with application to ultra-high performance concrete (UHPC). Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40440.

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This report introduces the first release of CORPS-STIF (Concrete Observations Repository and Predictive Software – Structural and Thermodynamical Integrated Framework). CORPS-STIF is envisioned to be used as a tool to optimize material constituents and geometries of mass concrete placements specifically for ultra-high performance concretes (UHPCs). An observations repository (OR) containing results of 649 mechanical property tests and 10 thermodynamical tests were recorded to be used as inputs for current and future releases. A thermodynamical integrated framework (TIF) was developed where the heat transfer coefficient was a function of temperature and determined at each time step. A structural integrated framework (SIF) modeled strength development in cylinders that underwent isothermal curing. CORPS-STIF represents a step toward understanding and predicting strength gain of UHPC for full-scale structures and specifically in mass concrete.

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