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Relevant bibliographies by topics / Software Development Productivity

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Academic literature on the topic 'Software Development Productivity'

Author: Grafiati

Published: 4 June 2025

Last updated: 23 June 2025

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Journal articles on the topic "Software Development Productivity"

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Maxwell, K. D., and P. Forselius. "Benchmarking software development productivity." IEEE Software 17, no. 1 (2000): 80–88. http://dx.doi.org/10.1109/52.820015.

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Kemerer, Chris F. "Software development productivity measurement." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 17, no. 4 (1986): 41. http://dx.doi.org/10.1145/1113523.1113533.

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Aramo-Immonen, Heli, Hannu Jaakkola, and Harri Keto. "Multicultural Software Development." International Journal of Information Technology Project Management 2, no. 1 (2011): 19–36. http://dx.doi.org/10.4018/jitpm.2011010102.

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Productivity management is a challenge for software engineering companies and, in this regard, there is a current trend toward globalization. Via acquisitions and mergers, business has become international and employs different national cultures. Therefore, the focus of this article is on the understanding of cultural differences affecting productivity in globalized software production. The relation between productivity and non coding activities in software development projects has not been proven. Software development is expert work, typically made in closely collaborating local teams and global distribution of expert work increases the degree of difficulty. In this paper, the authors analyze multicultural ICT companies from their productivity perspective through the lens of cultural differences. The purpose of this study is to report findings based on general cultural studies and reported experiences that seem to affect productivity in the software industry. Some company cases are also described and analyzed.

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Sudhakar, Purna, Ayesha Farooq, and Sanghamitra Patnaik. "Measuring productivity of software development teams." Serbian Journal of Management 7, no. 1 (2012): 65–75. http://dx.doi.org/10.5937/sjm1201065s.

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Mullen, Julie, Nadya Bliss, Robert Bond, Jeremy Kepner, Hahn Kim, and Albert Reuther. "High-Productivity Software Development with pMatlab." Computing in Science & Engineering 11, no. 1 (2009): 75–79. http://dx.doi.org/10.1109/mcse.2009.9.

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Gorla, Narasimhaiah, and Ravi Ramakrishnan. "Effect of software structure attributes on software development productivity." Journal of Systems and Software 36, no. 2 (1997): 191–99. http://dx.doi.org/10.1016/0164-1212(95)00202-2.

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ZHAN, JIZHOU, XIANZHONG ZHOU, and JIABAO ZHAO. "IMPACT OF SOFTWARE COMPLEXITY ON DEVELOPMENT PRODUCTIVITY." International Journal of Software Engineering and Knowledge Engineering 22, no. 08 (2012): 1103–22. http://dx.doi.org/10.1142/s0218194012500301.

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With increasing demands on software functions, software systems become more and more complex. This complexity is one of the most pervasive factors affecting software development productivity. Assessing the impact of software complexity on development productivity helps to provide effective strategies for development process and project management. Previous research literatures have suggested that development productivity declines exponentially with software complexity. Borrowing insights from cognitive learning psychology and behavior theory, the relationship between software complexity and development productivity was reexamined in this paper. This research identified that the relationship partially showed a U-shaped as well as an inverted U-shaped curvilinear tendency. Furthermore, the range of complexity level that is beneficial for productivity has been presented, in which, the lower bound denotes the minimum degree of complexity at which personnel can be motivated, while the upper bound shows the maximum extent of complexity that staff can endure. Based on our findings, some guidelines for improving personnel management of software industry have also been given.

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Alavi, Maryam. "High-Productivity Alternatives for Applications Software Development." Journal of Information Systems Management 2, no. 4 (1985): 19–24. http://dx.doi.org/10.1080/07399018508967781.

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Tsunoda, Masateru, Akito Monden, Hiroshi Yadohisa, Nahomi Kikuchi, and Kenichi Matsumoto. "Software development productivity of Japanese enterprise applications." Information Technology and Management 10, no. 4 (2009): 193–205. http://dx.doi.org/10.1007/s10799-009-0050-9.

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Mota, Jhemeson Silva, Heloise Acco Tives, and Edna Dias Canedo. "Tool for Measuring Productivity in Software Development Teams." Information 12, no. 10 (2021): 396. http://dx.doi.org/10.3390/info12100396.

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Despite efforts to define productivity, there is no consensus in the software industry regarding what the term productivity means and, instead of having only one metric or factor that describes productivity, it is defined by a set of aspects. Our objective is to develop a tool that supports the productivity measurement of software development teams according to the factors found in the literature. We divided these factors into four groups: People, Product, Organization, and Open Source Software Projects. We developed a web system containing the factors that influence productivity identified in this work, called Productive, to support software development teams in measuring their productivity. After developed the tool, we monitored its use over eight weeks with two small software development teams. From the results, we found that software development companies can use the system to support monitoring team productivity. The results also point to an improvement in productivity while using the system, and a survey applied to users demonstrates the users’ positive perception regarding the results obtained. In future work, we will monitor the use of the tool and investigate the users’ perceptions in other project contexts.

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Dissertations / Theses on the topic "Software Development Productivity"

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Lipkin, Ilya. "Testing Software Development Project Productivity Model." University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1321593577.

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Gupta, Shweta. "Software Development Productivity Metrics, Measurements and Implications." Thesis, University of Oregon, 2018. http://hdl.handle.net/1794/23816.

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The rapidly increasing capabilities and complexity of numerical software present a growing challenge to software development productivity. While many open source projects enable the community to share experiences, learn and collaborate; estimating individual developer productivity becomes more difficult as projects expand. In this work, we analyze some HPC software Git repositories with issue trackers and compute productivity metrics that can be used to better understand and potentially improve development processes. Evaluating productivity in these communities presents additional challenges because bug reports and feature requests are often done by using mailing lists instead of issue tracking, resulting in difficult-to-analyze unstructured data. For such data, we investigate automatic tag generation by using natural language processing techniques. We aim to produce metrics that help quantify productivity improvement or degradation over the projects lifetimes. We also provide an objective measurement of productivity based on the effort estimation for the developer's work.

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AQUINO, JÚNIOR Gibeon Soares de. "Value-based productivity measurement in software development projects." Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/1768.

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Made available in DSpace on 2014-06-12T15:52:15Z (GMT). No. of bitstreams: 2 arquivo3204_1.pdf: 2932974 bytes, checksum: ed70cb5e6dddd387ea04292de409a2f3 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2010<br>A fim de melhorar a sua competitividade no mercado global, as organizações de software têm se preocupado cada vez mais com a questão de produtividade na execução de projetos. No entanto, para melhorar a produtividade, as organizações de software devem definir uma forma de medí-la. O problema é que a medição da produtividade apesar de parecer ser simples, sua aplicação concreta se mostra muito complexa. Muitos são os trabalhos de pesquisa sobre o tema, no entanto não há convergência sobre a métrica mais adequada de produtividade para as organizações de software. Baseado nos conceitos fundamentais relacionados à processos de produção, áreas de conhecimento social, evidências coletadas em organizações de software reais e análise do estado da arte em medição de produtividade em software, concluimos que a métrica mais adequada para medir a produtividade é específica para cada contexto organizacional, pois envolve estratégia, cultura organizacional, modus operandi, além de interesse e conhecimento daqueles diretamente envolvidos na medição e avaliação da produtividade. Isto explica porque não existe e nem há a possibilidade de existência de uma métrica de produtividade para projetos de software universalmente aceita. Baseado nestas descobertas, sugerimos a adoção de uma abordagem de medir produtividade baseada em valor. A hipótese central que orienta nossa trabalho de pesquisa é que uma abordagem baseada em valor pra medir a produtividade para medir a produtividade de projetos de software é mais adequada que as medições tradicionais. Uma das consequências da validade desta hipótese é que cada organização deve definir seu próprio modelo para a medição da produtividade. Com o objetivo de ajudar as organizações a definir e implementar um modelo próprio de medição de produtividade, um processo sistemático, com uma seqüência bem definida de etapas, entradas, saídas e diretrizes foi proposto. Ele envolve as atividades relacionadas com a definição, implementação e aperfeiçoamento do modelo de medição de produtividade. Além disso, foi baseado em uma extensa revisão dos principais desenvolvimentos relacionados com a medição da produtividade, além de ser influenciado por modelos de referência em engenharia de software, como IDEAL, CMMI, PSM e ISO/IEC 15939. O resultado da aplicação deste processo em uma organização de software produz um modelo de avaliação da produtividade, que considera a idéia de valor com base na visão dos principais stakeholders da organização. Finalmente, o conceito de medição de produtividade baseado em valor é adotado e avaliado em um estudo de caso, envolvendo em uma organização real de desenvolvimento de projetos de software. Em particular, o processo proposto para definição de modelos de medição de produtividade foi adotado e os benefícios, problemas e desafios foram avaliados com o objetivo de avaliar a eficácia do processo em atendar a o seu propósito. As análises do estudo de caso confirmaram que este tipo de abordagem foi de fato mais adequada para a organização estudada e que potencialmente pode ser aplicado a outras organizações de software

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Tomaszewski, Piotr. "Software Development Productivity Issues in Large Telecommunication Applications." Licentiate thesis, Ronneby : Blekinge Institute of Technology, 2005. http://www.bth.se/fou/forskinfo.nsf/01f1d3898cbbd490c12568160037fb62/f7452f4c8d5c134ec125700d0048226b!OpenDocument.

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Unlu, Cumhur. "The Effects Of Test Driven Development On Software Productivity And Software Quality." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609969/index.pdf.

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In the 1990s, software projects became larger in size and more complicated in structure. The traditional development processes were not able to answer the needs of these growing projects. Comprehensive documentation in traditional methodologies made processes slow and discouraged the developers. Testing, after all code is written, was time consuming, too costly and made error correction and debugging much harder. Fixing the code at the end of the project also affects the internal quality of the software. Agile software development processes evolved to bring quick solutions to these existing problems of the projects. Test Driven Development (TDD) is a technique, used in many agile methodologies, that suggests minimizing documentation, writing automated tests before implementing the code and frequently run tests to get immediate feedback. The aim is to increase software productivity by shortening error correction duration and increase software quality by providing rapid feedback to the developer. In this thesis work, a software project is developed with TDD and compared with a control project developed using traditional development techniques in terms of software productivity and software quality. In addition, TDD project is compared with an early work in terms of product quality. The benefits and the challenges of TDD are also investigated during the whole process.

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Tomaszewski, Piotr. "Software development productivity : evaluation and improvement for large industrial projects /." Karlskrona : Blekinge Institute of Technology, 2006. http://www.bth.se/fou/Forskinfo.nsf/Sok/e09f2cffbbff3787c12571ca004b1232!OpenDocument.

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Sousa, Kenia Soares. "UPi - a software development process aiming at usability, productivity and integration." Universidade de Fortaleza, 2005. http://dspace.unifor.br/handle/tede/71567.

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Made available in DSpace on 2019-04-05T23:05:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2005-12-19<br>This dissertation proposes the Unified Process for Interactive Systems, called UPi, which integrates practices from Software Engineering (SE) and Human-Computer Interaction (HCI) with three main goals: usability, productivity, and integration. First, we intend to help professionals from both areas in developing interactive systems with usability through the application of a unified process. Second, we want to make HCI an essential and effective part of SE processes by facilitating the communication and interchange of artifacts between professionals from these two areas, thus, bringing productivity to a new working environment. Third, we aim at describing the basis for generating User Interfaces (UI) through the integration of HCI and SE concepts in a unified process and through the active participation of users. In order to address the issues mentioned previously, we have defined and evaluated the UPi and specified one artifact, the UI Definition Plan. To evaluate its efficacy, we applied UPi in the Brazilian Digital TV Project, financed by the Brazilian Government. UPi was also evaluated according to specific metrics to measure its Return on Investment and to monitor its application and continuously improve it. The UI Definition Plan is an innovation for the selection of usability patterns during UI design. UPi, the strategy to monitor its application and evaluate the ROI, and the UI Definition Plan are our contributions for the SE and HCI communities.<br>Essa dissertação propõe o Processo Unificado para Sistemas Interativos, chamados UPi, o qual integra práticas de Engenharia de Software (ES) e Interação Homem-Computator (IHC) com três objetivos principais: usabilidade, produtividade e integração. Primeiro, pretendemos ajudar profissionais de ambas as áreas no desenvolvimento de sistemas interativos com usabilidade através da aplicação de um processo unificado. Segundo, queremos tornar a IHC um componente essencial e efetivo de processos de ES, facilitando a comunicação e a troca de artefatos entre os profissionais das duas áreas, deste modo, trazendo produtividade para um novo ambiente de trabalho. Terceiro, pretendemos descrever o básico para gerar Interfaces de Usuário (IU) pela integração dos conceitos de IHC e ES em um processo unificado e pela participação ativa dos usuários. Para designar os assuntos mencionados anteriormente, definimos e avaliamos o UPi e especificamos um artefato: o plano de definição de IU. Para avaliar sua eficácia, aplicamos o UPi no projeto de TV digital brasileira, financiado pelo governo brasileiro. O UPi também foi avaliado de acordo com métricas específicas para medir seu Retorno de Investimento e para monitorar sua aplicação para melhorá-la continuamente. A definição do plano de IU é uma inovação para a seleção do padrão de usabilidade durante o projeto de IU. UPi, a estratégia de monitorar a aplicação e avaliar o ROI, e o plano de definição de IU são os nossos contribuintes para a comunidade de ES e IHC.

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Dagfalk, Johanna, and Ellen Kyhle. "Listening in on Productivity : Applying the Four Key Metrics to measure productivity in a software development company." Thesis, Uppsala universitet, Avdelningen för datalogi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-440147.

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Software development is an area in which companies not only need to keep up with the latest technology, but they additionally need to continuously increase their productivity to stay competitive in the industry. One company currently facing these challenges is Storytel - one of the strongest players on the Swedish audiobook market - with about a fourth of all employees involved with software development, and a rapidly growing workforce. With the purpose of understanding how the Storytel Tech Department is performing, this thesis maps Storytel’s productivity defined through the Four Key Metrics - Deployment Frequency, Delivery Lead Time, Mean Time To Restore and Change Fail Rate. A classification is made into which performance category (Low, Medium, High, Elite) the Storytel Tech Department belongs to through a deep-dive into the raw system data existing at Storytel, mainly focusing on the case management system Jira. A survey of the Tech Department was conducted, to give insights into the connection between human and technical factors influencing productivity (categorized into Culture, Environment, and Process) and estimated productivity. Along with these data collections, interviews with Storytel employees were performed to gather further knowledge about the Tech Department, and to understand potential bottlenecks and obstacles. All Four Key Metrics could be determined based on raw system data, except the metric Mean Time To Restore which was complemented by survey estimates. The generalized findings of the Four Key Metrics conclude that Storytel can be minimally classified as a ‘medium’ performer. The factors, validated through factor analysis, found to have an impact on the Four Key Metrics were Generative Culture, Efficiency (Automation and Shared Responsibility) and Number of Projects. Lastly, the major bottlenecks found were related to Architecture, Automation, Time Fragmentation and Communication. The thesis contributes with interesting findings from an expanding, middle-sized, healthy company in the audiobook streaming industry - but the results can be beneficial for other software development companies to learn from as well. Performing a similar study with a greater sample size, and additionally enabling comparisons between teams, is suggested for future research.

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Stone, Thomas W. "Lean Accounting Comes to Lean Software Development." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/497799.

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Business Administration/Accounting<br>D.B.A.<br>I argue that lean software development firms become more productive if they adopt and align lean managerial accounting systems with lean software development processes. I conduct two experiments on retraining and coaching of software development teams that have used lean and agile software development practices, demonstrating that these practices significantly improve productivity compared to control groups that did not receive this retraining and coaching. In a third experiment, I expand on this theme by introducing lean accounting productivity metrics to a treatment group of software developers. Team leaders actively use these metrics as quantitative “retrospectives” in team meetings to review past performance and identify areas for process improvement. Four months after these metrics are introduced, I measure their impact on the treatment group productivity and also survey the group to determine how these metrics affect employee attitudes and productivity compared to a control group that was not trained in use of these metrics for team meetings. The results indicate that introduction of lean accounting metrics does not impact employee attitudes and understanding of processes and metrics, nor does it improve productivity in the near term. Discussions with management indicate that retraining and coaching immediately improve productivity since they are directed at remedying specific operational and process issues. Using lean accounting metrics to impact team productivity and employee attitudes is more foundational and likely requires a longer period of exposure and learning. The experimental site is a large publicly traded software firm that uses lean and agile software development practices. Key Words: Lean Accounting, Training, Coaching, Software Development, Productivity<br>Temple University--Theses

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Brown, Mary Erin. "Data-Driven Decision Making as a Tool to Improve Software Development Productivity." Thesis, Walden University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3591716.

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<p> The worldwide software project failure rate, based on a survey of information technology software manager's view of user satisfaction, product quality, and staff productivity, is estimated to be between 24% and 36% and software project success has not kept pace with the advances in hardware. The problem addressed by this study was the limited information about software managers' experiences with data-driven decision making (DDD) in agile software organizations as a tool to improve software development productivity. The purpose of this phenomenological study was to explore how agile software managers view DDD as a tool to improve software development productivity and to understand how agile software development organizations may use DDD now and in the future to improve software development productivity. Research questions asked about software managers', project managers', and agile coaches' lived experiences with DDD via a set of interview questions. The conceptual framework for the research was based on the 3 critical dimensions of software organization productivity improvement: people, process, and tools, which were defined by the Software Engineering Institute's Capability Maturity Model Integrated published in 2010. Organizations focus on processes to align the people, procedures and methods, and tools and equipment to improve productivity. Positive social change could result from a better understanding of DDD in an agile software development environment; this increased understanding of DDD could enable organizations to create more products, offer more jobs, and better compete in a global economy.</p>

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Books on the topic "Software Development Productivity"

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Sharp, Alec. Software quality and productivity. Van Nostrand Reinhold, 1993.

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United States. General Services Administration. Office of Software Development and Information Technology, ed. The Programmers Workbench: Improving productivity in software management. U.S. General Services Administration, Office of Software Development and Information Technology, 1987.

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Chan, Henry Bing-Kwong. An evaluation of 4GLs in enhancing software development productivity. The author], 1990.

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Buzzard, James. Improving application development productivity: Client-server architecture and database servers. QED Technical Pub. Group, 1991.

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Inc, ebrary, ed. Grails 1.1 web application development: Reclaiming productivity for faster Java web development. Packt Pub., 2009.

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International Symposium of Formal Methods Europe (10th 2001 Berlin, Germany). FME 2001: Formal methods for increasing software productivity : [10th] International Symposium of Formal Methods Europe, Berlin, Germany, March 12-16, 2001 : proceedings. Springer, 2001.

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Dohoo, Ian. The purchase of computer equipment and software to support the development of APHIN - final report. Atlantic Veterinary College, Univ. of Prince Edward Island, 1986.

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United States. National Aeronautics and Space Administration., ed. SAGA, a project to automate the management of software production systems: 1986 mid-year report. University of Illinois, Dept. of Computer Science, 1986.

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David, Upton, and ebrary Inc, eds. CodeIgniter 1.7: Improve your PHP coding productivity with the free compact open-source MVC CodeIgniter framework! Packt Pub., 2009.

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Meade, Douglas S., ed. In Quest of the Craft. Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-820-0.

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INFORUM is a research project started more than forty five years ago by Clopper Almon. The focus is on the development of dynamic, interindustry, macroeconometric models to forecast the economy in the long run. Over the last 30 years, the Inforum approach to model building has been shared by economists in many different countries. Researchers have focused much of their efforts to developing a linked system of international interindustry models with a consistent methodology. A world-wide network of research associates use similar methods and a common software obtaining comparable results to produce studies of common interest to the group. Inforum partners have shared their research in an annual conference since 1993. The XXII Inforum World Conference was held in Alexandria, Virginia in September 2014 and this book contains a selection of papers presented during the sessions. All these contributions share an empirical and pragmatic orientation that is very useful for policymakers, business, and applied economists. Some papers are devoted to specific topics (productivity, energy, international trade, demographic changes) and some others are oriented to model building and simulations.

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Book chapters on the topic "Software Development Productivity"

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Ferneley, E. H., D. A. Howcroft, and C. G. Davies. "Complexity Measures for System Development Models." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_42.

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Sadowski, Caitlin, Margaret-Anne Storey, and Robert Feldt. "A Software Development Productivity Framework." In Rethinking Productivity in Software Engineering. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4221-6_5.

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Kim, Lesley Pek Wee, Chris Sauer, and Ross Jeffery. "A Framework for Software Development Technical Reviews." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_46.

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Veraart, V. E., and S. L. Wright. "Software Development Environments to Support Model Consistency." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_58.

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Wan, Hakman A. "On the Optimal Timing of Software Development Cycle." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_25.

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Chan, Y. K., Sam Kwong, C. H. Lee, and K. L. Chan. "Environment For Three Dimensional Graphics User Interface Development." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_56.

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Millington, D., and I. M. Tulloch. "Application-Oriented Methods for Systems Development — A Review." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_9.

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Hunter, Robin. "Analysis of Data Collected from Software Development Case Studies." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_45.

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Rehesaar, Hugo, and Andrew Rose. "Information Systems Project Manager’s Critical Success Factors: In-house Versus Outsourced Development." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_26.

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Sawyer, S., and P. J. Guinan. "Team-Based Software Development Using an Electronic Meeting System: The Quality Pay-Off." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_11.

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Conference papers on the topic "Software Development Productivity"

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Thota, Sunil Raj, Saransh Arora, and Sandeep Gupta. "Al-Driven Automated Software Documentation Generation for Enhanced Development Productivity." In 2024 International Conference on Data Science and Network Security (ICDSNS). IEEE, 2024. http://dx.doi.org/10.1109/icdsns62112.2024.10691221.

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Dincă, Ana-Maria, Sabina-Daniela Axinte, Gabriela Tod-Raileanu, and Ioan C. Bacivarov. "AI Tools introduced in Software Development. Analysis of Code quality, Security and Productivity Implications." In 2024 IEEE 30th International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2024. https://doi.org/10.1109/siitme63973.2024.10814830.

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Canedo, Edna Dias, and Giovanni Almeida Santos. "Factors Affecting Software Development Productivity." In SBES 2019: XXXIII Brazilian Symposium on Software Engineering. ACM, 2019. http://dx.doi.org/10.1145/3350768.3352491.

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Vasilateanu, Andrei, Răzvan-Doru Ene, and Cristian-Andrei Popescu. "GAMIFICATION SOFTWARE FOR IMPROVING SOFTWARE DEVELOPMENT PRODUCTIVITY." In 11th annual International Conference of Education, Research and Innovation. IATED, 2018. http://dx.doi.org/10.21125/iceri.2018.2094.

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Moazeni, Ramin, Daniel Link, and Barry Boehm. "Incremental development productivity decline." In PROMISE '13: 9th International Conference on Predictive Models in Software Engineering. ACM, 2013. http://dx.doi.org/10.1145/2499393.2499403.

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Getov, Vladimir. "Software Development Productivity: Challenges and Future Trends." In 2010 IEEE 34th Annual Computer Software and Applications Conference - COMPSAC 2010. IEEE, 2010. http://dx.doi.org/10.1109/compsac.2010.91.

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Moazeni, Ramin, Daniel Link, Celia Chen, and Barry Boehm. "Software domains in incremental development productivity decline." In the 2014 International Conference. ACM Press, 2014. http://dx.doi.org/10.1145/2600821.2600830.

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Murphy, Gail C. "What is software development productivity, anyway? (Keynote)." In 2013 10th IEEE Working Conference on Mining Software Repositories (MSR 2013). IEEE, 2013. http://dx.doi.org/10.1109/msr.2013.6623996.

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Bollati, Veronica A., German Gaona, Paula B. Lima, and Liliana Cuenca Pletsch. "Software Development Teams: Factors Influencing their Productivity." In 21st LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”. Latin American and Caribbean Consortium of Engineering Institutions, 2023. http://dx.doi.org/10.18687/laccei2023.1.1.1561.

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Ribeiro, Marcelo, Ricardo Czekster, and Thais Webber. "Improving Productivity of Local Software Development Teams in a Global Software Development Environment." In 2006 IEEE International Conference on Global Software Engineering (ICGSE'06). IEEE, 2006. http://dx.doi.org/10.1109/icgse.2006.261246.

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Reports on the topic "Software Development Productivity"

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SOFTWARE OPTIONS INC CAMBRIDGE MA. Improving Productivity in the Development of Large Software Systems. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada282270.

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Ramirez Rufino, Smeldy, Manuel Rodriguez Porcel, and Orlando Perez Richiez. Drones in Construction: Unpacking the Value that Drone Technologies Bring to the Construction Sector Across Latin America. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004748.

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The use of drone technology in capital projects is an emerging area that holds promise for growth. Drones are becoming more widely available, and regulatory bodies are gradually allowing their use on a larger scale. With the development of software solutions that can effectively utilize data, drones are increasingly being used throughout the entire lifecycle of capital projects, including smaller infrastructure projects. The benefits of using drones in construction projects are numerous and include providing an unparalleled record of all activities, reducing planning and survey costs, increasing productivity, improving the accuracy of volumetric measurements, and mitigating disputes over the project's status. In the future, drone data will be integrated with CAD and BIM models and artificial intelligence (AI) to track construction progress and adherence to design automatically. While the construction industry has been slower in adopting new digital technologies than other sectors, leading global companies have widely adopted drones for capital project monitoring. In Latin America, drone adoption in the infrastructure sector is still limited, but early adopters have validated and are utilizing the technology. This report provides an examination of the current state of drone use in the Latin American region, including the benefits, barriers, early adopters, and what is required to promote its adoption.

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Gallego, Juan Miguel, and Luis H. Gutiérrez. ICTs in Latin American and the Caribbean Firms: Stylized Facts, Programs and Policies: Knowledge Sharing Forum on Development Experiences: Comparative Experiences of Korea and Latin America and the Ca. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0007003.

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Adoption of information and communication technologies (ICTs) has been slow in Latin American and the Caribbean (LAC) countries and is not widespread. There is a digital divide between and within countries, including a digital gap in firms' adoption of ICTs. Large and medium-sized enterprises generally have access to the Internet, but adoption of advanced ICTs is low for all firms in these economies, and small and micro enterprises lag way behind. The backwardness in ICT adoption is exacerbated when only a small fraction of society has high connectivity broadband. Thus the digital infrastructure remains weak despite regional governments' promotion of a digital agenda. Bolder programs are needed. The success of public initiatives requires a competitive environment for internet and telecom service providers as well strong participation of the private sector and public-private partnerships. In particular, the engagement of large firms is necessary to increase ICTs diffusion in small and medium-sized enterprises (SMEs) that are part of their production chains. Additionally, coordination among different government agencies is critical for improving ICT policies design and implementation. The relevance of well-designed ICT policies is apparent in empirical and qualitative evidence from Chile, Colombia and Uruguay, where ICT investment indicates a positive impact on firm innovation and productivity. As part of what some call the digital ecosystem, the IT industry plays an important role, but we observe large heterogeneity in the LAC region. Brazil and Mexico are two big players with relatively well-developed software and hardware industries oriented to the domestic market, while Costa Rica and Uruguay emerge as IT producers and exporters. In between, medium-sized countries like Argentina, Colombia, Peru and Ecuador are looking for a position in either their internal or external markets. To increase performance in the IT industry and complement the existing ecosystem, ICT policies must be accompanied by industrial programs that go beyond the usual horizontal industrial policies.

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Ahmed, Qadeer, and Vishnu Renganathan. Cybersecurity and Digital Trust Issues in Connected and Automated Vehicles. SAE International, 2024. http://dx.doi.org/10.4271/epr2024009.

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<div class="section abstract"><div class="htmlview paragraph">Given the rapid advancements in engineering and technology, it is anticipated that connected and automated vehicles (CAVs) will soon become prominent in our daily lives. This development has a vast potential to change the socio-technical perception of public, personal, and freight transportation. The potential benefits to society include reduced driving risks due to human errors, increased mobility, and overall productivity of autonomous vehicle consumers. On the other hand, the potential risks associated with CAV deployment related to technical vulnerabilities are safety and cybersecurity issues that may arise from flawed hardware and software.</div><div class="htmlview paragraph"><b>Cybersecurity and Digital Trust Issues in Connected and Automated Vehicles</b> elaborates on these topics as unsettled cybersecurity and digital trust issues in CAVs and follows with recommendations to fill in the gaps in this evolving field. This report also highlights the importance of establishing robust cybersecurity protocols and fostering digital trust in these vehicles to ensure safe and secure deployment in our modern transportation system.</div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>

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