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Software

About: Software is a research topic. Over the lifetime, 130577 publications have been published within this topic receiving 2028987 citations. The topic is also known as: computer software & computational tool.


Papers
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Journal ArticleDOI
TL;DR: The techniques outlined can be used for analyzing and managing many kinds of data, including key informant interviews, focus groups, document and literature reviews, and open-ended survey questions.
Abstract: This article shows how clever but simple use of word-processing functions can provide many features of special-purpose software designed for analyzing text. For many qualitative research projects, and for students who are learning computerassisted analysis of text, the Microsoft Word functions outlined here may be all that are required. Examples are given showing how Microsoft Word can be used for coding and retrieving, semiautomated coding and inspection, creating hierarchies of code categories via indexing, global editing of theme codes, coding of “face-sheet” data, exploring relationships between face-sheet codes and conceptual codes, quantifying the frequency of code instances, and annotating text. The techniques outlined can be used for analyzing and managing many kinds of data, including key informant interviews, focus groups, document and literature reviews, and open-ended survey questions.

258 citations

Journal ArticleDOI
30 Apr 2020
TL;DR: OpenFermion as mentioned in this paper is an open-source software library written largely in Python under an Apache 2.0 license, aimed at enabling the simulation of fermionic and bosonic models and quantum chemistry problems on quantum hardware.
Abstract: Quantum simulation of chemistry and materials is predicted to be an important application for both near-term and fault-tolerant quantum devices. However, at present, developing and studying algorithms for these problems can be difficult due to the prohibitive amount of domain knowledge required in both the area of chemistry and quantum algorithms. To help bridge this gap and open the field to more researchers, we have developed the OpenFermion software package (www.openfermion.org). OpenFermion is an open-source software library written largely in Python under an Apache 2.0 license, aimed at enabling the simulation of fermionic and bosonic models and quantum chemistry problems on quantum hardware. Beginning with an interface to common electronic structure packages, it simplifies the translation between a molecular specification and a quantum circuit for solving or studying the electronic structure problem on a quantum computer, minimizing the amount of domain expertise required to enter the field. The package is designed to be extensible and robust, maintaining high software standards in documentation and testing. This release paper outlines the key motivations behind design choices in OpenFermion and discusses some basic OpenFermion functionality which we believe will aid the community in the development of better quantum algorithms and tools for this exciting area of research.

258 citations

Journal ArticleDOI
TL;DR: MuxViz as discussed by the authors is a collection of algorithms for the analysis of multilayer networks, which are an important way to represent a large variety of complex systems throughout science and engineering.
Abstract: Multilayer relationships among entities and information about entities must be accompanied by the means to analyse, visualize and obtain insights from such data. We present open-source software (muxViz) that contains a collection of algorithms for the analysis of multilayer networks, which are an important way to represent a large variety of complex systems throughout science and engineering. We demonstrate the ability of muxViz to analyse and interactively visualize multilayer data using empirical genetic, neuronal and transportation networks. Our software is available at https://github.com/manlius/muxViz.

258 citations

Journal ArticleDOI
TL;DR: A new view of the software life cycle is described in which maintenance is actually a series of distinct stages, each with different activities, tools, and business consequences, and both business and engineering can benefit from understanding these stages.
Abstract: Software engineers have traditionally considered any work after initial delivery as simply software maintenance. Some researchers have divided this work into various tasks, including making changes to functionality (perfective), changing the environment (adaptive), correcting errors (corrective), and making improvements to avoid future problems (preventive). However, many have considered maintenance basically uniform over time. Because software development has changed considerably since its early days, the authors believe this approach no longer suffices. They describe a new view of the software life cycle in which maintenance is actually a series of distinct stages, each with different activities, tools, and business consequences. While the industry still considers postdelivery work as simply software maintenance, the authors claim that the process actually falls into stages. They think both business and engineering can benefit from understanding these stages and their transitions.

258 citations

Journal ArticleDOI
21 Jul 2000-Science
TL;DR: Starting with a single protein sequence, InterMap3D automatically finds a set of homologous sequences, generates an alignment and fetches the most similar 3D structure from the Protein Data Bank (PDB).
Abstract: Summary: InterMap3D predicts co-evolving protein residues and plots them on the 3D protein structure. Starting with a single protein sequence, InterMap3D automatically finds a set of homologous sequences, generates an alignment and fetches the most similar 3D structure from the Protein Data Bank (PDB). It can also accept a user-generated alignment. Based on the alignment, co-evolving residues are then predicted using three different methods: Row and Column Weighing of Mutual Information, Mutual Information/Entropy and Dependency. Finally, InterMap3D generates high-quality images of the protein with the predicted co-evolving residues highlighted. Availability: http://www.cbs.dtu.dk/services/InterMap3D/ Contact: gorm@cbs.dtu.dk

258 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20246
20235,523
202213,625
20213,455
20205,268
20195,982