Journal articles: 'Software sizing'

1

Jones, C. "Software sizing." IEE Review 45, no. 4 (July 1, 1999): 165–67. http://dx.doi.org/10.1049/ir:19990406.

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Jones, Capers. "Sizing Up Software." Scientific American 279, no. 6 (December 1998): 104–9. http://dx.doi.org/10.1038/scientificamerican1298-104.

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Wheaton, Marilee J. "Functional Software Sizing Methodology." Journal of Parametrics 6, no. 1 (March 1986): 17–23. http://dx.doi.org/10.1080/10157891.1986.10462676.

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Lambert, Joseph M. "A Software Sizing Model." Journal of Parametrics 6, no. 4 (December 1986): 75–87. http://dx.doi.org/10.1080/10157891.1986.10462703.

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5

Wilkie, F. G., I. R. McChesney, P. Morrow, C. Tuxworth, and N. G. Lester. "The value of software sizing." Information and Software Technology 53, no. 11 (November 2011): 1236–49. http://dx.doi.org/10.1016/j.infsof.2011.05.008.

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Verner, June M., and Graham Tate. "A model for software sizing." Journal of Systems and Software 7, no. 2 (June 1987): 173–77. http://dx.doi.org/10.1016/0164-1212(87)90021-5.

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Konaina, Tareq, Ekhlas Alkhwildy, Nasser Yassen, and Issa Morad. "Thermoacoustic Prime Mover Sizing Software." Energy Procedia 50 (2014): 1017–26. http://dx.doi.org/10.1016/j.egypro.2014.06.121.

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Miller, G. "Sizing up today's lightweight software processes." IT Professional 3, no. 3 (2001): 46–49. http://dx.doi.org/10.1109/6294.939976.

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Santos, Daisy Regina dos, Carlos Eduardo Camargo Nogueira, Felix Augusto Pazuch, Francielle Pareja Schneider, Jair Antonio Cruz Siqueira, Vitor Lisboa Nogueira, Samuel Nelson Melegari de Souza, and Vander Fabio Silveira. "FOTODIM—Software for Sizing of Photovoltaic Systems." Journal of Agricultural Science 11, no. 3 (February 15, 2019): 137. http://dx.doi.org/10.5539/jas.v11n3p137.

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This study addresses the development of a computational tool for the sizing of photovoltaic systems interconnected to the grid (grid-tied) and isolated (off-grid) systems. The calculations for the sizing were obtained from the CRESESB Engineering Manual for Photovoltaic Systems, the GREENPO Photovoltaic Systems Technology, Design and Installation Manual, and the BLUESOL Solar System Introduction Digital Book. With knowledge of the latitude, longitude and altitude data of the site, the tool calculates the angle of the modules for better absorption of the photovoltaic radiation. For systems connected to the grid, it is also necessary to provide information on the consumption of the building to be serviced by the photovoltaic system. For isolated systems, in addition to information on the site, it is necessary to know the demand and consumption of the building. Decision-making criteria are based on economic analysis, according to indexes such as Net Present Value (NPV), Internal Rate of Return (IRR), and Discounted Payback. The screens developed for the sizing tool and examples of sizing of both photovoltaic systems are presented as results, through tables and graphs. The developed software is reliable, and all calculations have theoretical basis.

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Ab Rahim, Nuril Yaqin, Shahril Irwan Sulaiman, and Zulkifli Othman. "Sizing Software of a Solar Farm System." Applied Mechanics and Materials 785 (August 2015): 611–15. http://dx.doi.org/10.4028/www.scientific.net/amm.785.611.

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This paper presents sizing software for the design of a solar farm system. The sizing software provides few guidelines to the designer for the planning procedure before the final of optimum array configuration is decided. Some specifications that the designer may consider are the type of PV module, the type of inverter, the available space for installation, the required energy per year and also the sum of money to be allocated for the instalment. The output result of this software will be the suggestion of possible configuration of the total number of modules in series per string with the total number of strings in parallel. This software also does the prediction of the system performances such as final yield, specific yield and performance ratio. The expected income is provided by the software is based on the Feed-in Tariff rates and the energy generated by the system.

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11

Somogyi, E. K. "Review: Sizing and Estimating Software in Practice." Computer Bulletin 38, no. 3 (June 1, 1996): 28. http://dx.doi.org/10.1093/combul/38.3.28-a.

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12

Bozoki, George J. "An Expert Judgment-Based Software Sizing Model." Journal of Parametrics 13, no. 1 (May 1993): 67–75. http://dx.doi.org/10.1080/10157891.1993.10462518.

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Velu, Juliëtte F., Erik Groot Jebbink, Jean-Paul PM de Vries, Job AM van der Palen, Cornelis H. Slump, and Robert H. Geelkerken. "A phantom study for the comparison of different brands of computed tomography scanners and software packages for endovascular aneurysm repair sizing and planning." Vascular 26, no. 2 (August 18, 2017): 198–202. http://dx.doi.org/10.1177/1708538117726648.

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Objectives Correct sizing of endoprostheses used for the treatment of abdominal aortic aneurysms is important to prevent endoleaks and migration. Sizing requires several steps and each step introduces a possible sizing error. The goal of this study was to investigate the magnitude of these errors compared to the golden standard: a vessel phantom. This study focuses on the errors in sizing with three different brands of computed tomography angiography scanners in combination with three reconstruction software packages. Methods Three phantoms with a different diameter, altitude and azimuth were scanned with three computed tomography scanners: Toshiba Aquilion 64-slice, Philips Brilliance iCT 256-slice and Siemens Somatom Sensation 64-slice. The phantom diameters were determined in the stretched view after central lumen line reconstruction by three observers using Simbionix PROcedure Rehearsal Studio, 3mensio and TeraRecon planning software. The observers, all novices in sizing endoprostheses using planning software, measured 108 slices each. Two senior vascular surgeons set the tolerated error margin of sizing on ±1.0 mm. Results In total, 11.3% of the measurements (73/648) were outside the set margins of ±1.0 mm from the phantom diameter, with significant differences between the scanner types (14.8%, 12.1%, 6.9% for the Siemens scanner, Philips scanner and Toshiba scanner, respectively, p-value = 0.032), but not between the software packages (8.3%, 11.1%, 14.4%, p-value = 0.141) or the observers (10.6%, 9.7%, 13.4%, p-value = 0.448). Conclusions It can be concluded that the errors in sizing were independent of the used software packages, but the phantoms scanned with Siemens scanner were significantly more measured incorrectly than the phantoms scanned with the Toshiba scanner. Consequently, awareness on the type of computed tomography scanner and computed tomography scanner setting is necessary, especially in complex abdominal aortic aneurysms sizing for fenestrated or branched endovascular aneurysm repair if appropriate the sizing is of upmost importance.

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LI, Yu-Feng. "Buffer Sizing in Internet Routers." Journal of Software 19, no. 3 (July 9, 2008): 733–43. http://dx.doi.org/10.3724/sp.j.1001.2008.00733.

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15

Bernstein, Lawrence. "System sizing." Journal of Systems and Software 8, no. 3 (June 1988): 253. http://dx.doi.org/10.1016/0164-1212(88)90024-6.

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MacDonell, Stephen G. "Software source code sizing using fuzzy logic modeling." Information and Software Technology 45, no. 7 (May 2003): 389–404. http://dx.doi.org/10.1016/s0950-5849(03)00011-9.

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17

Kebir, Youcef. "A model for the sizing of software updates." Bell Labs Technical Journal 5, no. 2 (August 28, 2002): 102–20. http://dx.doi.org/10.1002/bltj.2225.

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18

Reese, Richard M., and Jim Tamulevicz. "A Survey of Software Sizing Methodologies and Tools." Journal of Parametrics 7, no. 2 (June 1987): 35–55. http://dx.doi.org/10.1080/10157891.1987.10472801.

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19

Appenzeller, Guido, Isaac Keslassy, and Nick McKeown. "Sizing router buffers." ACM SIGCOMM Computer Communication Review 34, no. 4 (August 30, 2004): 281–92. http://dx.doi.org/10.1145/1030194.1015499.

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Wang, Zhe, Wei Dong, William Josephson, Qin Lv, Moses Charikar, and Kai Li. "Sizing sketches." ACM SIGMETRICS Performance Evaluation Review 35, no. 1 (June 12, 2007): 157–68. http://dx.doi.org/10.1145/1269899.1254900.

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BACHA, H., W. MASMOUDI, A. MAALEJ, and H. DHIA. "Software for sizing and simulating of SMCEC desalination process." Desalination 165 (August 15, 2004): 421–33. http://dx.doi.org/10.1016/s0011-9164(04)00249-8.

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22

Bacha, Habib Ben, Wassim Masmoudi, Aref Younes Maalej, and Hamed Ben Dhia. "Software for sizing and simulating of SMCEC desalination process." Desalination 165 (August 2004): 421–33. http://dx.doi.org/10.1016/j.desal.2004.06.047.

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23

Bourque, Pierre, and Vianney Côté. "An experiment in software sizing with structured analysis metrics." Journal of Systems and Software 15, no. 2 (May 1991): 159–72. http://dx.doi.org/10.1016/0164-1212(91)90053-9.

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24

Jeffery, Ross, and John Stathis. "Function point sizing: Structure, validity and applicability." Empirical Software Engineering 1, no. 1 (1996): 11–30. http://dx.doi.org/10.1007/bf00125809.

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25

Khatib, Tamer, Azah Mohamed, and K. Sopian. "A Software Tool for Optimal Sizing of PV Systems in Malaysia." Modelling and Simulation in Engineering 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/969248.

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This paper presents a MATLAB based user friendly software tool called as PV.MY for optimal sizing of photovoltaic (PV) systems. The software has the capabilities of predicting the metrological variables such as solar energy, ambient temperature and wind speed using artificial neural network (ANN), optimizes the PV module/ array tilt angle, optimizes the inverter size and calculate optimal capacities of PV array, battery, wind turbine and diesel generator in hybrid PV systems. The ANN based model for metrological prediction uses four meteorological variables, namely, sun shine ratio, day number and location coordinates. As for PV system sizing, iterative methods are used for determining the optimal sizing of three types of PV systems, which are standalone PV system, hybrid PV/wind system and hybrid PV/diesel generator system. The loss of load probability (LLP) technique is used for optimization in which the energy sources capacities are the variables to be optimized considering very low LLP. As for determining the optimal PV panels tilt angle and inverter size, the Liu and Jordan model for solar energy incident on a tilt surface is used in optimizing the monthly tilt angle, while a model for inverter efficiency curve is used in the optimization of inverter size.

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26

Velu, Juliëtte F., Erik Groot Jebbink, Jean-Paul P. M. de Vries, Cornelis H. Slump, and Robert H. Geelkerken. "Validation of the Simbionix PROcedure Rehearsal Studio sizing module: A comparison of software for endovascular aneurysm repair sizing and planning." Vascular 25, no. 1 (July 9, 2016): 80–85. http://dx.doi.org/10.1177/1708538116651009.

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An important determinant of successful endovascular aortic aneurysm repair is proper sizing of the dimensions of the aortic-iliac vessels. The goal of the present study was to determine the concurrent validity, a method for comparison of test scores, for EVAR sizing and planning of the recently introduced Simbionix PROcedure Rehearsal Studio (PRORS). Seven vascular specialists analyzed anonymized computed tomography angiography scans of 70 patients with an infrarenal aneurysm of the abdominal aorta, using three different sizing software packages Simbionix PRORS (Simbionix USA Corp., Cleveland, OH, USA), 3mensio (Pie Medical Imaging BV, Maastricht, The Netherlands), and TeraRecon (Aquarius, Foster City, CA, USA). The following measurements were included in the protocol: diameter 1 mm below the most distal main renal artery, diameter 15 mm below the lowest renal artery, maximum aneurysm diameter, and length from the most distal renal artery to the left iliac artery bifurcation. Averaged over the locations, the intraclass correlation coefficient is 0.83 for Simbionix versus 3mensio, 0.81 for Simbionix versus TeraRecon, and 0.86 for 3mensio versus TeraRecon. It can be concluded that the Simbionix sizing software is as precise as two other validated and commercially available software packages.

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McKeown, Nick, Guido Appenzeller, and Isaac Keslassy. "Sizing router buffers (redux)." ACM SIGCOMM Computer Communication Review 49, no. 5 (November 8, 2019): 69–74. http://dx.doi.org/10.1145/3371934.3371957.

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Al-Shamma, Omran, Rashid Ali, and Haitham S. Hasan. "Employing control surface model in preliminary aircraft design software." International Journal of Engineering & Technology 7, no. 2.31 (May 29, 2018): 135. http://dx.doi.org/10.14419/ijet.v7i2.31.13426.

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Many aircraft design software packages are available in the market. Some of them are intended for preliminary design phase. These packages investigate the aircraft stability and controllability through the stability model to get the dimensional and non-dimensional derivatives. For students and fresh engineers, these derivatives are ambiguous and do not give a well-defined consideration about the influence of the control surface sizing on them.Therefore, adding the control surface model to preliminary software will assist, enhance, and improve students' knowledge, sympathy, and investigating studies. This paper presents the control surface model for use in preliminary aircraft design software. The model consists of three sub-models. Each sub-model is involved to perform the sizing of one of the primary conventional control surfaces. The aileron represents the first sub-model. The elevator represents the second sub-model, while the rudder represents the third sub-model. A flowchart for each sub-model is provided.

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Asyraf Mohd Kamaruzaman, Amirul, Muhammad Murtadha Othman, Aainaa Mohd Arriffin, Ismail Musirin, Muhd Azri Abdul Razak, and Zilaila Zakaria. "Energy Efficiency of a Building Using Capacitors Optimization." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 2 (November 1, 2017): 343. http://dx.doi.org/10.11591/ijeecs.v8.i2.pp343-349.

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This paper presents the optimal location and sizing of capacitors to reduce the total power losses as well as its investment cost for a distribution system in a building. The capacitors location and sizing will be randomly chosen repetitively, via Stochasitic optimization method using MATLAB® and SIMULINK® software. The optimal capacitors location and sizing will be picked via analysis and comparisons between the results. The result shows improvement in power losses with minimal investment cost whilst providing optimal sizing and location of capacitors to be installed in a building.

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Almakadmeh, Khaled, and Alain Abran. "Experimental evaluation of an industrial technique for the approximation of software functional size." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 3 (August 5, 2013): 1459–74. http://dx.doi.org/10.24297/ijct.v10i3.3276.

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The Early & Quick sizing techniques, built based on ISO standards, have been proposed to derive an early approximation of software functional size when only high-level and incomplete requirements specifications are available. In the literature, there is a lack of research to evaluate the performance of such approximation sizing methods. This paper presents an experimental study to evaluate their reproducibility and accuracy. The experimental results show both poor reproducibility and large inaccurate approximations. In particular, the analysis of the findings indicates that the practitioners could not classify the functional requirements specifications in accordance to their levels of granularity using the rules and the concepts of the Early & Quick COSMIC technique.

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Yuan, Yin, Ying Jun Ruan, Qing Rong Liu, Jian Wang, and Zhi Li Zhang. "Optimal Sizing for the CCHP System Based on Software LINGO." Advanced Materials Research 608-609 (December 2012): 1225–30. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.1225.

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In this paper, a model to optimize the system capacity size of the CCHP system based on a commercial software package LINGO is introduced and an illustrative example is presented. The model calculates the optimal size for the CCHP system applied in ST building and analyzes the variation trend of the annual cost saving ratio which is affected by the annual running and maintenance cost and annual investment cost. The influence of the energy price on the system is also be analyzed. When electricity price rises, the CCHP system is more economic than the conventional energy supply system. The CCHP optimal capacity size increases when electricity price rises. When natural gas price rises, the CCHP optimal capacity size decreases and it has poor economy.

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Holzamer, A., M. Zerdzitzki, K. Debl, Y. Zausig, M. Hilker, and C. Schmid. "Development and Clinical Evaluation of a New TAVI Sizing Software." Thoracic and Cardiovascular Surgeon 65, S 01 (February 3, 2017): S1—S110. http://dx.doi.org/10.1055/s-0037-1598797.

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33

Konaina, Tareq, and Nasser Yassen. "Thermoacoustic Solar Cooling for Domestic Usage Sizing Software Part (I)." Energy Procedia 18 (2012): 119–30. http://dx.doi.org/10.1016/j.egypro.2012.05.024.

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Vishwanath, Arun, Vijay Sivaraman, and Marina Thottan. "Perspectives on router buffer sizing." ACM SIGCOMM Computer Communication Review 39, no. 2 (March 31, 2009): 34–39. http://dx.doi.org/10.1145/1517480.1517487.

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35

Wischik, Damon. "Fairness, QoS, and buffer sizing." ACM SIGCOMM Computer Communication Review 36, no. 1 (January 10, 2006): 93. http://dx.doi.org/10.1145/1111322.1111343.

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36

Judas, Paul A., and Lorraine E. Prokop. "A historical compilation of software metrics with applicability to NASA’s Orion spacecraft flight software sizing." Innovations in Systems and Software Engineering 7, no. 3 (February 3, 2011): 161–70. http://dx.doi.org/10.1007/s11334-011-0142-7.

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37

Ben-Cnaan, Talmon. "Unprofessional Article Regarding Non-Functional Sizing: The IEEE Standard 2430 Chair Response to “IEEE 2430 Non-Functional Sizing Measurements: A Numerical Placebo”." IEEE Software 38, no. 5 (September 2021): 16. http://dx.doi.org/10.1109/ms.2021.3089728.

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Zhou, Zhao Feng, Xiao Hua Ni, and Xiao Jun Zhu. "Hot Sizing Experiment Study of TC4 Titanium Alloy Bending Plate." Applied Mechanics and Materials 665 (October 2014): 21–25. http://dx.doi.org/10.4028/www.scientific.net/amm.665.21.

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The ratio of TC4 titanium alloy’s yield strength (σs) and elastic modulus is very high . Springback amount of TC4 forming is big at room temperature and the quality of TC4 part can be inferior . TC4 titanium alloy needs to be amended after it is formed .The article does the hot sizing experiment study of TC4 titanium alloy. The influence laws of some factors are gotten, which include the process parameters of induction heating and so on. The article establishes the model of TC4’s hot sizing through ANSYS software. Hot sizing numerical simulation of TC4 is done through ANSYS LS-DYNA solution. Some rules and optimum parameters are found., which are expected to be applied to the production. Keywords:TC4 titanium alloy (Ti-6Al-4V); hot sizing; high frequency induction; experiment research

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39

Loparic, Marko, Hugues Marchand, and Laurence A. Wolsey. "Dynamic knapsack sets and capacitated lot-sizing." Mathematical Programming 95, no. 1 (January 1, 2003): 53–69. http://dx.doi.org/10.1007/s10107-002-0341-y.

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40

Leung, Janny M. Y., Thomas L. Magnanti, and Rita Vachani. "Facets and algorithms for capacitated lot sizing." Mathematical Programming 45, no. 1-3 (August 1989): 331–59. http://dx.doi.org/10.1007/bf01589110.

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41

Grover, Ashish, Anita Khosla, and Dheeraj Joshi. "Design and simulation of 20MW photovoltaic power plant using PVSyst." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 1 (July 1, 2020): 58. http://dx.doi.org/10.11591/ijeecs.v19.i1.pp58-65.

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This paper deeply explains the analysis through simulation and sizing of grid connected photovoltaic plant of 20MW for the site Devdurga, Karnataka India with use of PV syst software tool. Primarily, the trajectories the behavior of grid tied photovoltaic system at a particular location. It gives results for the geographical position taken by maps for avoiding the oversizing or under sizing of the systems which projects the installation with very much realistic conditions. The projected area is of about 110 acres would generate 44854 MWh/year for a 20MW PV system, with a performance ratio of 76.28%.Loss fraction taken for simulation and sizing is 2%.The paper also includes the study and behavior of the system with tilt and orientation of the PV Panel which gives better simulation results at similar latitudes for any feasible sizing.

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42

Haas, David F., and Leslie J. Waguespack. "Sizing assignments: a contribution from software engineering to computer science education." ACM SIGCSE Bulletin 21, no. 1 (February 1989): 190–94. http://dx.doi.org/10.1145/65294.65308.

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Feng, Qi, Vijay S. Mookerjee, and Suresh P. Sethi. "Optimal policies for the sizing and timing of software maintenance projects." European Journal of Operational Research 173, no. 3 (September 2006): 1047–66. http://dx.doi.org/10.1016/j.ejor.2005.07.004.

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LUDWIG, RAFAEL, JOÃO C. C. SAAD, FERNANDO F. PUTTI, JOSUÉ F. DA S. JUNIOR, ANA PAULA R. A. SCHIMIDT, DEBORA DE O. LATORRE, and ILCA P. DE F. E. SILVA. "DIMENSIONAMENTO DE SISTEMAS DE DRENAGEM ATRAVÉS DE SOFTWARE COMPUTACIONAL / SIZING OF DRAINAGE SYSTEMS THROUGH COMPUTER SOFTWARE." Revista Brasileira de Engenharia de Biossistemas 7, no. 2 (December 5, 2013): 70. http://dx.doi.org/10.18011/bioeng2013v7n2p70-76.

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Sadeghi Moghadam, Mohammad Reza, Amir Afsar, and Babak Sohrabi. "Inventory lot-sizing with supplier selection using hybrid intelligent algorithm." Applied Soft Computing 8, no. 4 (September 2008): 1523–29. http://dx.doi.org/10.1016/j.asoc.2007.11.001.

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Dhamdhere, Amogh, and Constantine Dovrolis. "Open issues in router buffer sizing." ACM SIGCOMM Computer Communication Review 36, no. 1 (January 10, 2006): 87–92. http://dx.doi.org/10.1145/1111322.1111342.

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Z.Mohammad Noor, S., S. Zaini, and A. M.Omar. "Design of Graphical User Interface Development Environment Software for sizing of Grid Connected Photovoltaic (GCPV) system." International Journal of Engineering & Technology 7, no. 3.15 (August 13, 2018): 145. http://dx.doi.org/10.14419/ijet.v7i3.15.17519.

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This work presents a design of graphical user interface development environment (GUIDE) software for sizing of Grid Connected Photovoltaic (GCPV) system. The simulation model of the GCPV system design is developed by using GUIDE in MATLAB. The developed GUI display the performance of the PV system based on the three scenarios. The three scenarios are sizing based on architecture constraint, the energy required and budget constraint. The size of the GCPV system is from 4.6 kW to 60.0 kW. A GUIDE is developed to design and calculate the suitable size of photovoltaic (PV) module, analyses the optimum array configuration, selection of inverter, size of cable, determine the specific yield and performance ratio. The GUI be able to make a user’s job easier and beneficial in assisting the GCPV system design process compared to the manual calculation of the GCPV system.

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Wolsey, Laurence A. "Lot-sizing with production and delivery time windows." Mathematical Programming 107, no. 3 (December 6, 2005): 471–89. http://dx.doi.org/10.1007/s10107-005-0675-3.

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Küçükyavuz, Simge, and Yves Pochet. "Uncapacitated lot sizing with backlogging: the convex hull." Mathematical Programming 118, no. 1 (August 28, 2007): 151–75. http://dx.doi.org/10.1007/s10107-007-0186-5.

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Pochet, Yves, and Laurence A. Wolsey. "Single item lot-sizing with non-decreasing capacities." Mathematical Programming 121, no. 1 (July 15, 2008): 123–43. http://dx.doi.org/10.1007/s10107-008-0228-7.

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Journal articles on the topic 'Software sizing'

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