Academic literature on the topic '"Software Project Productivity Model"'

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Journal articles on the topic ""Software Project Productivity Model""

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White, A. S. "An Agile Project System Dynamics Simulation Model." International Journal of Information Technologies and Systems Approach 7, no. 1 (2014): 55–79. http://dx.doi.org/10.4018/ijitsa.2014010104.

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This paper compares established Systems Dynamics (SD) models of software projects with models of agile development. A new minimal SIMULINK™ agile project model was created and compared to a Waterfall model of a NASA project. Results are presented to enable project managers to predict the performance of future agile project processes. The model includes the time to generate the requirements and a function to provide requirements volatility. These models show that for the same productivity and fraction of errors that are satisfactory, the overall development staff costs are similar for agile and waterfall projects and the undiscovered rework is less for the agile project. This model generally supports empirical observations that shorter time-box iterations yield a shorter overall project completion.
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Clark, J. R., and Leon S. Levy. "Software Economics: An Application Of Price Theory To The Development Of Expert Systems." Journal of Applied Business Research (JABR) 9, no. 2 (2011): 14. http://dx.doi.org/10.19030/jabr.v9i2.6071.

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Expert Systems in computer software appear to offer a potential for increases in project productivity in the range of Orders of Magnitude. This paper offers a software development model illustrating not only the optimal allocation of project resources between tool making and tool application but also appropriate investment in the project and several means of dealing with project risk. The model illustrates that much more benefit is to be derived from extending the domain of applicability of expert systems than from increasing the productivity gains of those techniques. We also find that it is possible to compensate for a more risky approach by alternative scheduling.
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Tamura, Yoshinobu, Hironobu Sone, and Shigeru Yamada. "Productivity Assessment Based on Jump Diffusion Model Considering the Effort Management for OSS Project." International Journal of Reliability, Quality and Safety Engineering 26, no. 05 (2019): 1950022. http://dx.doi.org/10.1142/s0218539319500220.

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Various open source software (OSS) projects are in action around the world. Many OSS are developed and maintained under these OSS projects. Considering the characteristics of OSS, the operation performance of OSS development will take an irregular fluctuation in the long term of operation, because several developers and many users are closely related to the maintenance of OSS. This paper focuses on the irregular fluctuation of the operation performance of OSS. We apply the jump diffusion process model to the noisy cases in the operation of OSS. In particular, the maintenance effort is estimated by the stochastic differential equation model in terms of OSS project management. Moreover, we discuss the method of maintenance effort management based on jump diffusion process model considering the irregular fluctuation of performance for OSS projects. In particular, we propose the method of productivity assessment based on the proposed jump diffusion models. Thereby, it is helpful for the OSS development managers to understand the effort status of OSS from the standpoint of OSS project management. Also, we analyze actual data to show numerical examples of the proposed method considering the characteristics of OSS projects.
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Kumar Nath, Udit, Satyasundara Mahapatra, Prasant Kumar Pattnaik, and Alok Kumar Jagadev. "Issues of lean-agile software development environment." International Journal of Engineering & Technology 7, no. 3.3 (2018): 432. http://dx.doi.org/10.14419/ijet.v7i2.33.14204.

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The popular waterfall model is widely accepted approach for project management paradigm; however lean based agile model is the recent revolution to reduce work in progress items and makes transformation to better process by identifying and eliminating non-value-add activities and increase productivity with quality of deliverables. This paper includes the issues that involved in lean- agile process.
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Mishra, Debasisha, and Biswajit Mahanty. "The effect of onsite-offshore work division on project cost, schedule, and quality for re-engineering projects in Indian outsourcing software industry." Strategic Outsourcing: An International Journal 7, no. 3 (2014): 198–225. http://dx.doi.org/10.1108/so-06-2014-0010.

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Purpose – The aim of this paper is to make an attempt to find good values of onsite–offshore team strength; number of hours of communication between business users and onsite team and between onsite and offshore team to reduce cost and improve schedule for re-engineering projects in global software development environment. Design/methodology/approach – The system dynamics technique is used for simulation model construction and policy run experimentation. The experts from Indian software outsourcing industry were consulted for model construction, validation and analysis of policy run results in both co-located and distributed software development environment. Findings – The study results show that there is a drop in the overall team productivity in outsourcing environment by considering the offshore options. But the project cost can be reduced by employing the offshore team for coding and testing work only with minimal training for imparting business knowledge. The research results show that there is a potential to save project cost by being flexible in project schedule. Research limitations/implications – The study found that there could be substantial cost saving for re-engineering projects with a loss of project schedule when an appropriate onsite–offshore combination is used. The quality and productivity drop, however, were rather small for such combinations. The cost savings are high when re-engineering work is sent to offshore location entirely after completion of requirement analysis work at onsite location and providing training to offshore team in business knowledge The research findings show that there is potential to make large cost savings by being flexible in project schedule for re-engineering projects. Practical implications – The software project manager can use the model results to divide the software team between onsite and offshore location during various phases of software development in distributed environment. Originality/value – The study is novel as there is little attempt at finding the team distribution between onsite and offshore location in global software development environment.
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Krein, Jonathan L., Alexander C. MacLean, Charles D. Knutson, Daniel P. Delorey, and Dennis L. Eggett. "Impact of Programming Language Fragmentation on Developer Productivity." International Journal of Open Source Software and Processes 2, no. 2 (2010): 41–61. http://dx.doi.org/10.4018/jossp.2010040104.

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Programmers often develop software in multiple languages. In an effort to study the effects of programming language fragmentation on productivity—and ultimately on a developer’s problem-solving abilities—the authors present a metric, language entropy, for characterizing the distribution of a developer’s programming efforts across multiple programming languages. This paper presents an observational study examining the project contributions of a random sample of 500 SourceForge developers. Using a random coefficients model, the authors find a statistically (alpha level of 0.001) and practically significant correlation between language entropy and the size of monthly project contributions. Results indicate that programming language fragmentation is negatively related to the total amount of code contributed by developers within SourceForge, an open source software (OSS) community.
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Xavier, P. Eugene, and E. R. Naganathan. "Productivity improvement in software projects using 2-dimensional probabilistic software stability model (PSSM)." ACM SIGSOFT Software Engineering Notes 34, no. 5 (2009): 1–3. http://dx.doi.org/10.1145/1598732.1598741.

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Mohapatra, Sanjay, and Sreejesh S. "Model for Improving Productivity Without Impacting Quality of Deliverables in IT Projects." International Journal of Information Technology Project Management 5, no. 2 (2014): 14–29. http://dx.doi.org/10.4018/ijitpm.2014040102.

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This research has developed a theoretical model that will help to improve productivity without reducing quality in software projects. It has been observed that while trying to increase productivity, quality gets hit in software projects. However, customer requirements in these projects demand that the projects be delivered on time without having defects or bugs in the final deliverables. Thus, it becomes important to identify variables that would increase productivity without compromising the quality. In the present study, through literature review different variables were identified that would affect both productivity and quality simultaneously. The data were collected from 36 software projects and were analysed to check the relationships between the identified variables, productivity and quality. Using structured equation modelling it was found that level of application complexity, training, level of client support, reusing existing code and quality of document management system significantly impact productivity without compromising quality. The findings can be used in projects engaged in customized software development as well as in commercial software development.
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Farshchi, Mostafa, Yah Jusoh, and Azmi Murad. "Impact of personnel factors on the recovery of delayed software projects: A system dynamics approach." Computer Science and Information Systems 9, no. 2 (2012): 627–52. http://dx.doi.org/10.2298/csis110525003f.

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Delay in a software project may result in the loss of a market opportunity or the postponement of a dependent project. Therefore, software project managers take various steps to ensure that their project is completed on time, such as adding new members to the project team. However, adding new manpower to a delayed project may cause a negative impact on the team's productivity due to assimilation time, training overhead and communication overhead. Consequently, project managers have difficulty in making the decision on whether or not to add new members to the team. Thus, this research aims to examine whether a significant schedule improvement can be achieved with consideration of the new manpower's capabilities, skills and experience. A System Dynamics Model is proposed to simulate the behaviour of a project's progress when new members are added. The proposed model was evaluated through experiments using two types of case studies. The results of the experiments indicate that a significant schedule improvement of a late project can be achieved if people with certain levels of personnel factors are added to the project.
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Razzaq, Seher, Jianglin Huang, Hongyi Sun, and Min Xie. "Analyzing time pressure for software economics." Journal of Enterprise Information Management 32, no. 5 (2019): 758–77. http://dx.doi.org/10.1108/jeim-10-2018-0239.

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Purpose The research on people and project factors is found extensively in general but not specific to software engineering. Secondly, the existing research has not concentrated on the communication and time complexity of the teams on software economics. The purpose this paper is to develop a model to investigate and quantify the impact of time pressure (TP) on software economics through the communication influence of software team sizes (TS). Design/methodology/approach A research model and five hypotheses are developed based on the gaps in the literature. The data set from International Software Benchmarking Standards Group repository is used for testing the hypotheses. Findings Important findings include: smaller TS tends to exert less TP on average; TP is directly proportional to software economics, however; and TP does not affect the productivity required for the software. Research limitations/implications The study has the following implications: Selection of an appropriate TS for project completion that ensures minimum pressure on team members; and maximize software outcomes in stress-free environment. Practical implications This work is useful for organizations carrying out software projects with teamwork. The project managers can benefit from the results while planning the team factors for achieving the project goals. Social implications The results uphold not to exert pressure on the team as it will not only affect the duly completion of the project but also the well-being of employees. Originality/value The paper is the first one where the proposition of TP estimation is done using TS and communication complexity, and empirically evaluating the impact of TP on four major software economics are the major key contributions of this research work.
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Dissertations / Theses on the topic ""Software Project Productivity Model""

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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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Yun, Seok Jun. "Productivity prediction model based on Bayesian analysis and productivity console." Texas A&M University, 2003. http://hdl.handle.net/1969.1/2305.

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Software project management is one of the most critical activities in modern software development projects. Without realistic and objective management, the software development process cannot be managed in an effective way. There are three general problems in project management: effort estimation is not accurate, actual status is difficult to understand, and projects are often geographically dispersed. Estimating software development effort is one of the most challenging problems in project management. Various attempts have been made to solve the problem; so far, however, it remains a complex problem. The error rate of a renowned effort estimation model can be higher than 30% of the actual productivity. Therefore, inaccurate estimation results in poor planning and defies effective control of time and budgets in project management. In this research, we have built a productivity prediction model which uses productivity data from an ongoing project to reevaluate the initial productivity estimate and provides managers a better productivity estimate for project management. The actual status of the software project is not easy to understand due to problems inherent in software project attributes. The project attributes are dispersed across the various CASE (Computer-Aided Software Engineering) tools and are difficult to measure because they are not hard material like building blocks. In this research, we have created a productivity console which incorporates an expert system to measure project attributes objectively and provides graphical charts to visualize project status. The productivity console uses project attributes gathered in KB (Knowledge Base) of PAMPA II (Project Attributes Monitoring and Prediction Associate) that works with CASE tools and collects project attributes from the databases of the tools. The productivity console and PAMPA II work on a network, so geographically dispersed projects can be managed via the Internet without difficulty.
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Damasiotis, Vyron. "Modelling software project management complexity : an assessment model." Thesis, Staffordshire University, 2018. http://eprints.staffs.ac.uk/4834/.

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During the last years, more and more business use projectised organisation as an organisation structure to tackle complex problems needed for the implementation of their strategic objectives. A significant number of these projects were/are challenged or even failed to meet their initial requirements in terms of cost, time and quality. This phenomenon is more intense in software projects due their special characteristics sourcing from the dynamic and continuous changing environment they operate and the nature of the software itself. Most of these failures were attributed to complexity that exists in various forms and levels at all projects. Many studies attempted to identify the sources of project complexity and define an appropriate complexity typology for capturing it. However, most of these studies are theoretical and only a limited number is proposing models capable to evaluate or measure project complexity. This research, acknowledges the endogenous character of complexity in projects but instead of trying to identify complexity dimensions of this complexity in projects, focuses on the complexity in the interfaces between project processes, project management processes and project managers, which consists of the critical point for successful project execution. The proposed framework can be used in order to highlight the most significant complexity areas either organisation specific or project specific, providing in that way the necessary awareness for better, efficient and effective project management. The approach followed in framework design, identifies the variation of perception of complexity between different organisations. Allow organisations to evaluate complexity of projects and provide them with an important information that will assist project selection process. Identifies the significance of peoples’ knowledge and experience and generally the maturity/capabilities of an organisation in management in order to handle complexity, as this was revealed through the findings of this research. Furthermore, considers complexity as variable that can be measured and propose a model for it. To implement this framework, an extended literature review was initially performed, for identifying the complexity factors sourcing from project management aspects. Subsequently, statistical methods for processing and refining the identified factors were used, resulting to the final set of measures used in the framework. Finally, the proposed model was validated through the appliance of case study methodology.
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Lee, Seung-Hyun. "A process model for controlling project productivity of highway construction operations." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0002370.

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Dahmann, Franz-Dietmar. "Correlation between quality management metric and people capability maturity model." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FDahmann.pdf.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, September 2003.<br>Thesis advisor(s): John Osmundson, J. Bret Michael. Includes bibliographical references (p. 83-84). Also available online.
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Agarwal, Ravikant. "A flexible model for multi-agent based simulation of software development process." Auburn, Ala., 2007. http://repo.lib.auburn.edu/2007%20Fall%20Dissertations/Agarwal_Ravikant_38.pdf.

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Lin, Chia-Yang. "Conceptual model builder." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2708.

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Whenever one designs a new database system, an Entity-Relationship Diagram (ER diagram) is always needed to present the structure of this database. Using the graphically well-arranged ER Diagram helps you to easily understand the entities, attributes, domains, primary keys, foreign keys, constraints, and relationships inside a database. This data-modeling tool is an ideal choice for companies and developers.
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Gansereit, Jake Nathan. "Cougar swing: A web site model curriculum devoted toward improving hitting productivity for varsity baseball competition." CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/1913.

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Alkandari, Mohammad A. "A Model of Multicultural Software Project Team Management applied in Requirements Engineering." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/26808.

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In today's world of global software teams, managing members from multiple countries and cultures adds to an already complex mix of software productivity issues. While software team compositions have been researched based on tasks, personality, and role descriptions, few models exist to help software project managers reason about software teams with respect to culture. As more culturally diverse teams develop software products, software project managers need to manage teams based on cultural factors that will inevitably arise. This research examines the effect of culture on software project team management, and its impacts on software productivity, especially as it pertains to requirements engineering tasks. The main objective is to investigate how individuals from different cultures work together in software development projects, and to use that understanding to formulate a model for reasoning about key cultural factors. Communication is a critical part of software project team effectiveness. Hence, this research examines how cultural factors (e.g., language, attitudes, roles, social organization, and time) affect the communication process in software development projects. Based on an initial survey of multicultural teams, this research examines some of the issues that arise from diverse teams working together. The survey results led to language and attitudes as dominant aspects of communication that impact software productivity. Time, roles, and social organization also had considerable influence from the preliminary results. From these results, the research approach was refined and more specific survey instruments were designed to aid in identifying the critical factors that impact software productivity. The results of the second set of the surveys showed that various cultures have different attitudes and behaviors, which in turn have distinct impacts on productivity in terms of more rework and delay. Furthermore, multicultural teams have miscommunication issues with respect to differences in languages, attitudes, roles, time, and social organization. The effect of some cultural factors on communication and productivity vary from culture to culture. Based on the results of the surveys, a model for Multicultural Software Project Team Management is described. This model was substantiated with further surveys using software professionals with experience working on multicultural teams.<br>Ph. D.
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Ji, Katrina Yun. "ADAP: A component-based model using design patterns with applications in E-Commerce." CSUSB ScholarWorks, 2000. https://scholarworks.lib.csusb.edu/etd-project/1694.

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Books on the topic ""Software Project Productivity Model""

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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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Tausworthe, Robert C. A communication channel model of the software process. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1988.

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Implementing the capability maturity model. John Wiley & Sons, 2001.

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Goldmann, Sigrid. A model of project planning and management in complex domains. Dissertation.de-Verlag im Internet GmbH, 2003.

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Project management success with CMMI: Seven CMMI process areas. Prentice Hall, 2007.

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Haury, Carson E. Design and development of a user interface for the Dynamica Model of Software Project Management. Naval Postgraduate School, 1988.

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Tulenko, Edward. The design and development of a Gaming interface for the System Dynamics Model of Software Project Management. Naval Postgraduate School, 1989.

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Leidy, Frank H. Design and development of an expert system based quality assurance module for the Dynamo Model of software project management. Naval Postgraduate School, 1989.

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1954-, Turner Richard, ed. CMMI survival guide: Just enough process improvement. Addison-Wesley, 2007.

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Office, General Accounting. Contract pricing: Overpricing of joint cruise missiles automatic test equipment : report to the Director, Cruise Missiles Project, Naval Air Systems Command. The Office, 1988, 1988.

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Book chapters on the topic ""Software Project Productivity Model""

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Baldi, M., and M. L. Jaccheri. "Software Process Model Specification." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_22.

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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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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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Tervonen, Ilkka. "A Unifying Model for Software Quality Engineering." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_30.

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Lian, Lin, Fusayuki Fujita, Shinji Kusumoto, Ken-ichi Matsumoto, Tohru Kikuno, and Koji Torii. "A Model-based Approach for Software Test Process Improvement." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_47.

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Trendowicz, Adam, and Ross Jeffery. "Constructive Cost Model—COCOMO." In Software Project Effort Estimation. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03629-8_9.

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Holenderski, Leszek. "A model checking project at philips research." In Model Checking Software. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45139-0_18.

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Lai, Sen-Tarng, and Chien-Chiao Yang. "A Multi-layer Metrics Combination Model for Reusable Software Components." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_55.

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Yoon, Kyung-A., Sang-Yoon Min, and Doo-Hwan Bae. "Model-Based Project Process Analysis Using Project Tracking Data." In Software Engineering Research and Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24675-6_14.

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Hai, Vo Van, Ho Le Thi Kim Nhung, and Huynh Thai Hoc. "A Productivity Optimising Model for Improving Software Effort Estimation." In Software Engineering Perspectives in Intelligent Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63322-6_62.

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Conference papers on the topic ""Software Project Productivity Model""

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Oliveira, Edson, Tayana Conte, Marco Cristo, and Emilia Mendes. "Software Project Managers' Perceptions of Productivity Factors." In ESEM '16: ACM/IEEE 9th International Symposium on Empirical Software Engineering and Measurement. ACM, 2016. http://dx.doi.org/10.1145/2961111.2962626.

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Long, James, John C. Anderson, and Wangping Sun. "A Smart Assembly Undergraduate Laboratory." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43566.

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Smart assembly is a term that is being used to describe the concept of integration of virtual and real time tools and methods to achieve gains in productivity, lead time, quality, and agility in the manufacturing arena. This paper describes efforts and successes in planning and implementing a laboratory to teach undergraduate engineering students these tools and allow for applied research. Between 1973 and 2004 the percentage of goods consumed in the US that are produced in the US has dropped from 83% to 24%. Much of this decrease has been driven by globalization. Goods can be manufactured for 30 to 50% less in China, for example, than in the US. This poses a very real threat to the manufacturing base of the US. An alternative business model that places the production closer to the customer is gaining favor as at least partial solution to this problem. This model is driven by automation and systems engineering to decrease cost and increase flexibility. The lab at Oregon Institute of Technology will use a collection of small robots and standard material handling devices to model physical systems. Discrete event simulation programs will be developed that allow engineers to quickly and easily model changes. This project is a collaboration of the Manufacturing and the Computer Software Engineering Technology programs. It is being driven by a series of faculty and student projects.
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Roovers, Kelvin, Xavier Raucroix, Kenneth Wyns, Arco Meerkerk, and Jan van Steirteghem. "Design and production automation for the A16 tunnel in Rotterdam." In IABSE Congress, New York, New York 2019: The Evolving Metropolis. International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.1844.

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&lt;p&gt;Within joint venture De Groene Boog, BESIX will design and construct a 2.2 km long tunnel in the North of Rotterdam for a new highway connection. Its design process entails the structural design of many similar tunnel sections and thousands of foundation and sheet piles, as well as the production of a detailed 3D Building Information Model and numerous technical drawings. To effectively perform these tasks and efficiently cope with design changes, an automation strategy has been developed that benefits from the tunnel’s repetitive geometry. The digital models are set up parametrically, while software innovations allow to dynamically transfer data between and combine the strengths of multiple software packages. Through standardization we aim to automate structural calculations and drawing production.&lt;/p&gt;&lt;p&gt;This paper will present the proposed automation strategy for the ongoing design process of the tunnel and will evaluate its benefit during the detailed design phase compared to traditional methods. The present project forms the first application of parametric design and automation of such magnitude being developed in-house at the BESIX Engineering Department. It reflects our ambition to use these techniques for tackling the ever increasing challenges within the construction industry and simultaneously boosting productivity and the quality of the final product.&lt;/p&gt;
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Sively, K. E. "Ada software productivity issues: results from the AFATDS project." In the conference. ACM Press, 1988. http://dx.doi.org/10.1145/76619.76642.

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Chinda, Thanwadee. "The Development of a Productivity Dynamic Model." In International Conference on Engineering, Project, and Production Management. Association of Engineering, Project, and Production Management, 2010. http://dx.doi.org/10.32738/ceppm.201010.0012.

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Sánchez-Begínes, J. M., F. J. Domínguez-Mayo, M. J. Escalona, et al. "A Framework to Evaluate Software Developer’s Productivity - The VALORTIA Project." In 10th International Conference on Software Engineering and Applications. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005556701600167.

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Bohner, Shawn A., and Sriram Mohan. "Model-Based Engineering of Software: Three Productivity Perspectives." In 2009 33rd Annual IEEE Software Engineering Workshop. IEEE, 2009. http://dx.doi.org/10.1109/sew.2009.19.

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Fauzi, Shukor Sanim Bin Mohd, and Nuraminah Bt Ramli. "Software Project Management Maturity Assessment Model to Assess Software Project Management Practices." In 2007 International Conference on Computational Science and its Applications (ICCSA 2007). IEEE, 2007. http://dx.doi.org/10.1109/iccsa.2007.81.

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Huang, Longjun, Liping Dai, Bin Guo, and Gang Lei. "Project-Driven Teaching Model for Software Project Management Course." In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.76.

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Nigar, Natasha. "Model-based dynamic software project scheduling." In ESEC/FSE'17: Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering. ACM, 2017. http://dx.doi.org/10.1145/3106237.3119879.

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Reports on the topic ""Software Project Productivity Model""

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Novak, William E., Andrew P. Moore, and Christopher Alberts. The Evolution of a Science Project: A Preliminary System Dynamics Model of a Recurring Software-Reliant Acquisition Behavior. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada609942.

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Osidoma, Japhet, and Ashiru Mohammed Kinkwa. Creatively Improving Agricultural Practices and Productivity: Pro Resilience Action (PROACT) project, Nigeria. Oxfam, 2021. http://dx.doi.org/10.21201/2021.7260.

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Since April 2016, The European Union and the Oxfam Pro-Resilience Action Project in Kebbi and Adamawa States, Nigeria, have supported poor smallholder rural farmers to improve their agricultural productivity. The project has a specific focus on increasing crop yields per hectare for better land usage, as well as ensuring farmers possess the skills they need to maintain good agricultural practices, such as inputs utilization and climate mitigation strategies, as well as an information-sharing system on weather and market prices. The project uses a Farmer Field School model that continues to serve as a viable platform for rural farmers to access hands-on skills and basic modern farming knowledge and techniques. The case studies presented here demonstrate a significant increase in farmers’ productivity, income and resilience. This approach should be emulated by governments and private sector players to achieve impact at scale in Nigeria’s agricultural sector, which is the country’s top non-oil revenue stream.
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Hsueh, Gary, David Czerwinski, Cristian Poliziani, et al. Using BEAM Software to Simulate the Introduction of On-Demand, Automated, and Electric Shuttles for Last Mile Connectivity in Santa Clara County. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1822.

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Despite growing interest in low-speed automated shuttles, pilot deployments have only just begun in a few places in the U.S., and there is a lack of studies that estimate the impacts of a widespread deployment of automated shuttles designed to supplement existing transit networks. This project estimated the potential impacts of automated shuttles based on a deployment scenario generated for a sample geographic area: Santa Clara County, California. The project identified sample deployment markets within Santa Clara County using a GIS screening exercise; tested the mode share changes of an automated shuttle deployment scenario using BEAM, an open-source beta software developed at the Lawrence Berkeley National Laboratory to run traffic simulations with MATSim; elaborated the model outputs within the R environment; and then estimated the related impacts. The main findings have been that the BEAM software, despite still being in its beta version, was able to model a scenario with the automated shuttle service: this report illustrates the potential of the software and the lessons learned. Regarding transportation aspects, the model estimated automated shuttle use throughout the county, with a higher rate of use in the downtown San José area. The shuttles would be preferred mainly by people who had been using gasoline-powered ride hail vehicles for A-to-B trips or going to the bus stop, as well as walking trips and a few car trips directed to public transport stops. As a result, the shuttles contributed to a small decrease in emissions of air pollutants, provided a competitive solution for short trips, and increased the overall use of the public transport system. The shuttles also presented a solution for short night trips—mainly between midnight and 2 am—when there are not many options for moving between points A and B. The conclusion is that the automated shuttle service is a good solution in certain contexts and can increase public transit ridership overall.
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Keith, B., A. Apostolatos, A. Kodakkal, et al. D2.3. Adjoint-based error estimation routines. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.022.

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This document presents a simple and ecient strategy for adaptive mesh renement (AMR) and a posteriori error estimation for the transient incompressible Navier{Stokes equations. This strategy is informed by the work of Prudhomme and Oden [22, 23] as well as modern goal-oriented methods such as [5]. The methods described in this document have been implemented in the Kratos Multiphysics software and uploaded to https://zenodo.org [27].1 This document includes: A review of the state-of-the-art in solution-oriented and goal-oriented AMR. The description of a 2D benchmark model problem of immediate relevance to the objectives of the ExaQUte project. The denition and a brief mathematical summary of the error estimator(s). The results obtained. A description of the API.
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Petrie, John, Yan Qi, Mark Cornwell, et al. Design of Living Barriers to Reduce the Impacts of Snowdrifts on Illinois Freeways. Illinois Center for Transportation, 2020. http://dx.doi.org/10.36501/0197-9191/20-019.

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Blowing snow accounts for a large part of Illinois Department of Transportation’s total winter maintenance expenditures. This project aims to develop recommendations on the design and placement of living snow fences (LSFs) to minimize snowdrift on Illinois highways. The research team examined historical IDOT data for resource expenditures, conducted a literature review and survey of northern agencies, developed and validated a numerical model, field tested selected LSFs, and used a model to assist LSF design. Field testing revealed that the proper snow fence setback distance should consider the local prevailing winter weather conditions, and snow fences within the right-of-way could still be beneficial to agencies. A series of numerical simulations of flow around porous fences were performed using Flow-3D, a computational fluid dynamics software. The results of the simulations of the validated model were employed to develop design guidelines for siting LSFs on flat terrain and for those with mild slopes (&lt; 15° from horizontal). Guidance is provided for determining fence setback, wind characteristics, fence orientation, as well as fence height and porosity. Fences comprised of multiple rows are also addressed. For sites with embankments with steeper slopes, guidelines are provided that include a fence at the base and one or more fence on the embankment. The design procedure can use the available right-of-way at a site to determine the appropriate fence characteristics (e.g., height and porosity) to prevent snow deposition on the road. The procedure developed in this work provides an alternative that uses available setback to design the fence. This approach does not consider snow transport over an entire season and may be less effective in years with several large snowfall events, very large single events, or a sequence of small events with little snowmelt in between. However, this procedure is expected to be effective for more frequent snowfall events such as those that occurred over the field-monitoring period. Recommendations were made to facilitate the implementation of research results by IDOT. The recommendations include a proposed process flow for establishing LSFs for Illinois highways, LSF siting and design guidelines (along with a list of suitable plant species for LSFs), as well as other implementation considerations and identified research needs.
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