Relevant bibliographies by topics / COSMIC function points

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'COSMIC function points'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "COSMIC function points"

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Jayasri, Angara, Prasad Srinivas, and Sridevi Gutta. "Towards Benchmarking User Stories Estimation with COSMIC Function Points-A Case Example of Participant Observation." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3076–83. https://doi.org/10.11591/ijece.v8i5.pp3076-3083.

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Shorter time-to-market and unstable requirements is leading to introduction of Agile and DevOps practices. Story point estimation is becoming handier in Agile/DevOps setting. However, developing user stories and defining sizing unit in terms of story point is subjective process. It lacks benchmarking/standardization in terms of sizing measure and productivity of historical data. COSMIC has been considered as FSM (Functional Size Method). It has flexibility to receive requirements as User stories (popular Agile/Devops method) and derive COSMIC functional units using parametric approach. COSMIC method reduces the subjectivity and populates the productivity parameter for benchmarking. It standardizes the estimation process and can be easily deployed in Agile or DevOps setting. This paper presents the related work on linkages between User stories, COSMIC methods and traditional function point methods. It also presents the outcome of the industry survey conducted on 49 practitioners working in 10 different domains with respective to parametric estimation process adoption and presents 9 real-time case studies developed to demonstrate the usage of COSMIC method in various domains. This paper also attempts to derive mapping process of COSMIC functional process with User Stories with the help of 2 real-time industry case studies.
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Lavazza, Luigi. "An evaluation of the statistical convertibility of Function Points into COSMIC Function Points." Empirical Software Engineering 19, no. 4 (2013): 1075–110. http://dx.doi.org/10.1007/s10664-013-9246-z.

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Abualkishik, Abedallah Zaid, and Luigi Lavazza. "IFPUG Function Points to COSMIC Function Points convertibility: A fine-grained statistical approach." Information and Software Technology 97 (May 2018): 179–91. http://dx.doi.org/10.1016/j.infsof.2018.01.012.

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Lavazza, Luigi, and Sandro Morasca. "Convertibility of Function Points into COSMIC Function Points: A study using Piecewise Linear Regression." Information and Software Technology 53, no. 8 (2011): 874–84. http://dx.doi.org/10.1016/j.infsof.2011.02.005.

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Ziema, Mushtaq*1 &. Prof. Abdul Wahid2. "EFFECTIVENESS OF COSMIC FUNCTION POINTS FOR MOBILE APPLICATION DEVELOPMENT: A CRITICAL REVIEW." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 10 (2018): 169–76. https://doi.org/10.5281/zenodo.1476481.

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<strong>Context</strong>. With the increased complexity in mobile applications, many challenges and issues emerged for project management to develop mobile applications effectively and accurately. Among these challenges Effort Estimation, is one of the critical issues faced by software project management team in general and mobile application management team in particular. Effort estimation helps software development team to approximate the cost required for the successful software application development. In order to perform mobile effort estimation, COSMIC estimation approach is followed. COSMIC effort estimation is based on various data movements corresponding to numerous functionalities a software application or mobile application is expected to deliver. The overall density of these data movements quantifies the aggregate size of the development.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp; <strong>Objective.</strong> This study is an effort to review the effectiveness of COSMIC in performing software effort estimation and different invariants of COSMIC FP method of effort estimation are reviewed for software projects, web applications and mobile applications.. The research work also highlights the importance of continuously refining the COSMIC FP approach in order to reduce the gap between the estimated and actual efforts
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Angara, Jayasri, Srinivas Prasad, and Gutta Sridevi. "Towards Benchmarking User Stories Estimation with COSMIC Function Points-A Case Example of Participant Observatio." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3076. http://dx.doi.org/10.11591/ijece.v8i5.pp3076-3083.

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Shorter time-to-market and unstable requirements is leading to introduction of Agile and DevOps practices. Story point estimation is becoming handier in Agile/DevOps setting. However, developing user stories and defining sizing unit in terms of story point is subjective process. It lacks benchmarking/standardization in terms of sizing measure and productivity of historical data. COSMIC has been considered as FSM (Functional Size Method). It has flexibility to receive requirements as User stories (popular Agile/Devops method) and derive COSMIC functional units using parametric approach. COSMIC method reduces the subjectivity and populates the productivity parameter for benchmarking. It standardizes the estimation process and can be easily deployed in Agile or DevOps setting. This paper presents the related work on linkages between User stories, COSMIC methods and traditional function point methods. It also presents the outcome of the industry survey conducted on 49 practitioners working in 10 different domains with respective to parametric estimation process adoption and presents 9 real-time case studies developed to demonstrate the usage of COSMIC method in various domains. This paper also attempts to derive mapping process of COSMIC functional process with User Stories with the help of 2 real-time industry case studies.
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Shim, J., S. Codis, C. Pichon, D. Pogosyan, and C. Cadiou. "The clustering of critical points in the evolving cosmic web." Monthly Notices of the Royal Astronomical Society 502, no. 3 (2021): 3885–910. http://dx.doi.org/10.1093/mnras/stab263.

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ABSTRACT Focusing on both small separations and baryonic acoustic oscillation scales, the cosmic evolution of the clustering properties of peak, void, wall, and filament-type critical points is measured using two-point correlation functions in ΛCDM dark matter simulations as a function of their relative rarity. A qualitative comparison to the corresponding theory for Gaussian random fields allows us to understand the following observed features: (i) the appearance of an exclusion zone at small separation, whose size depends both on rarity and signature (i.e. the number of negative eigenvalues) of the critical points involved; (ii) the amplification of the baryonic acoustic oscillation bump with rarity and its reversal for cross-correlations involving negatively biased critical points; (iii) the orientation-dependent small-separation divergence of the cross-correlations of peaks and filaments (respectively voids and walls) that reflects the relative loci of such points in the filament’s (respectively wall’s) eigenframe. The (cross-) correlations involving the most non-linear critical points (peaks, voids) display significant variation with redshift, while those involving less non-linear critical points seem mostly insensitive to redshift evolution, which should prove advantageous to model. The ratios of distances to the maxima of the peak-to-wall and peak-to-void over that of the peak-to-filament cross-correlation are ${\sim} \sqrt{2}$ and ${\sim} \sqrt{3}$, respectively, which could be interpreted as the cosmic crystal being on average close to a cubic lattice. The insensitivity to redshift evolution suggests that the absolute and relative clustering of critical points could become a topologically robust alternative to standard clustering techniques when analysing upcoming surveys such as Euclid or Large Synoptic Survey Telescope (LSST).
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AZIZI, TAHEREH, and EMAD YARAIE. "COSMOLOGICAL DYNAMICS OF MODIFIED GRAVITY WITH A NONMINIMAL CURVATURE-MATTER COUPLING." International Journal of Modern Physics D 23, no. 02 (2014): 1450021. http://dx.doi.org/10.1142/s0218271814500217.

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We perform a phase space analysis of a nonminimally coupled modified gravity theory with the Lagrangian density of the form [Formula: see text], where f1(R) and f2(R) are arbitrary functions of the curvature scalar R and [Formula: see text] is the matter Lagrangian density. We apply the dynamical system approach to this scenario in two particular models. In the first model we assume f1(R) = 2R with a general form for f2(R) and set favorable values for effective equation of state parameter which is related to the several epochs of the cosmic evolution and study the critical points and their stability in each cosmic eras. In the second case, we allow the f1(R) to be an arbitrary function of R and set f2(R) = 2R. We find the late-time attractor solution for the model and show that this model has a late-time accelerating epoch and an acceptable matter era.
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SPINELLY, J., and E. R. BEZERRA DE MELLO. "VACUUM POLARIZATION BY A MAGNETIC FLUX TUBE AT FINITE TEMPERATURE IN THE COSMIC STRING SPACE–TIME." International Journal of Modern Physics D 18, no. 01 (2009): 53–70. http://dx.doi.org/10.1142/s0218271809014273.

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In this paper, we analyze the effect produced by the temperature in the vacuum polarization associated with a charged massless scalar field in the presence of a magnetic flux tube in the cosmic string space–time. Three different configurations of magnetic fields are taken into account: (i) a homogeneous field inside the tube, (ii) a field proportional to 1/r, and (iii) a cylindrical shell with δ-function. In these three cases, the axis of the infinitely long tube of radius R coincides with the cosmic string. Because of the complexity of this analysis in the region inside the tube, we consider the thermal effect in the region outside. In order to develop this analysis, we construct the thermal Green function associated with this system for the three above-mentioned situations considering points in the region outside the tube. We explicitly calculate, in the high-temperature limit, the thermal average of the field square and the energy–momentum tensor.
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Blakeslee, John P. "Cosmic distances from surface brightness fluctuations." Proceedings of the International Astronomical Union 8, S289 (2012): 304–11. http://dx.doi.org/10.1017/s174392131202159x.

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AbstractHigh spatial-resolution measurements of surface brightness fluctuations (SBFs) with the Hubble Space Telescope (HST) provide the most precise distances available to early-type galaxies beyond the Local Group. The observable SBF magnitude in a given bandpass is a basic property of any stellar system, corresponding to a ratio of the first and second moments of the stellar luminosity function. Calibration of the method has presented challenges, but we now have an excellent empirical determination of how the SBF observable varies with galaxy color in broad bandpasses at the red end of the optical spectrum, and we are working towards a similar calibration for HST's Wide-Field Camera 3 in the near-infrared wavelength range, where the SBF magnitudes are considerably brighter. From HST Advanced Camera for Surveys data, we have determined the relative distances of the Virgo and Fornax clusters to within a precision of 2%, and resolved their internal structures. More recent measurements allow us to tie the Coma cluster, the standard of comparison for distant cluster studies, to the same precise distance scale. The SBF method can be calibrated in an absolute sense either empirically using Cepheids or theoretically based on stellar population models. The agreement between model and empirical zero points provides an independent confirmation of the Cepheid distance scale.
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Dissertations / Theses on the topic "COSMIC function points"

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Ivonytė, Aistė. "Cosmic metodo taikymas darbo imlumo įvertinimui agile projektuose." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140818_114434-57123.

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COSMIC metodas apibrėžia principus, taisykles ir standartinio funkcinio dydžio matavimo procesą. Šio metodo realizacija Agile projektuose, padės prognozuoti konkrečios užduoties atlikimo laiką ankstyvoje planavimo stadijoje. Netikslus darbo imlumo įvertinimas planavimo stadijoje gali tapti rimta problema, dėl ko gali nepavykti įgyvendinti projekto, arba jo dalies, laiku. Vartotojų scenarijai yra vertinami SP, kurie nėra verčiami į laikinę skalę, kas dar labiau apsunkina tikslų darbo imlumo įvertinimą pradinėje projekto ir užduočių planavimo stadijoje. Šiame darbe atliekama detali COSMIC metodo analizė, apžvelgiami esami įrankiai, skirti Agile projektams. Įsitikinama, kad nėra sukurto įrankio, leidžiančio prognozuoti vartotojų scenarijų atlikimo laiką, sujungus COSMIC su istoriniais darbų atlikimo duomenimis. Darbe iškeltų tikslų pasiekimui buvo atliktas trijų dalių eksperimentinis tyrimas kurio metu paaiškėjo, kad COSMIC metodo apjungimas su istoriniais darbų atlikimo duomenimis gali pateikti panašią ar net geresnę prognozę, lyginant su programuotojų komandos įvertinimu. Taip pat pateikiamos idėjos įrankio korekcijai, jos realizuojamos ir kartojamas eksperimentas. Aptariami gauti rezultatai ir pateikiamos išvados.<br>COSMIC method defines principles, rules and the process of standard functional size measurement. Method implementation in Agile projects will help forecasting the completion time for a specific task in the early planning stages. Inaccurate task capacity estimation in the planning stage can become a serious problem which in turn may lead to not being able to complete parts of the assignment or even the whole project. User stories are being evaluated as SP which are not converted into a timescale which further complicates accurate job receptivity in the early project and task planning stage. Within this paper a detailed COSMIC method analysis is being performed as well as a review of existing Agile project tools. Also making sure that there are no other tools which allow the forecast of user story completion time by merging COSMIC with task completion time history log. To complete the goals of this paper a three part experimental survey took place which determined that the consolidation of the COSMIC method with the task completion time history may result in a similar or even more accurate forecast as compared to the forecast of a team of software developers. Also new ideas for tool adjustments are included, their implementation and repeating of the experiment, review of the obtained results and findings.
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BARBALHO, Felipe de Oliveira. "Uma Abordagem Comparativa entre duas Técnicas de Medição de Software." Universidade Federal de Pernambuco, 2014. https://repositorio.ufpe.br/handle/123456789/18390.

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Submitted by Irene Nascimento (irene.kessia@ufpe.br) on 2017-03-08T19:19:52Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação_FelipeOliveiraBarbalho.pdf: 1338681 bytes, checksum: 59450531ef14c232cbd53efcacba8b7e (MD5)<br>Made available in DSpace on 2017-03-08T19:19:52Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação_FelipeOliveiraBarbalho.pdf: 1338681 bytes, checksum: 59450531ef14c232cbd53efcacba8b7e (MD5) Previous issue date: 2014-04-28<br>Há uma tendência das organizações que atuam no desenvolvimento e manutenção de software em utilizarem Pontos de Função como medida padrão em seus processos de medição. Atualmente a análise de pontos de função é a técnica mais utilizada entre as organizações brasileiras. Por outro lado, o COSMIC é uma técnica de medição considerada como a segunda geração em método de medição funcional de projetos de desenvolvimento e manutenção de software, sendo precisa e abrangente para medir software e estimar esforço de desenvolvimento, despertando o interesse do mercado de desenvolvimento de software por essa métrica. Quando considerada a migração das bases históricas de medição de software das organizações para uma nova unidade de medida, há como consequência um alto custo para se medir os projetos legados. Nesse sentido, o objetivo desse trabalho é propor uma alternativa para migração de bases históricas de Pontos de Função para o COSMIC. A abordagem propõe uma fórmula de conversão, o qual foi encontrada a partir da medição de quatro projetos de desenvolvimento de software analisados nessas duas técnicas, para atualizar seus dados sem o custo de refazer toda sua base histórica.<br>There is a tendency in software development and maintenance organizations in using Function Points as a standard measure in their measurement processes. Currently the analysis of function points is the most used technique among Brazilian organizations. On the other hand, COSMIC is a measurement technique considered as the secondgeneration method of functional measurement for software development and maintenance projects, with an accurate and comprehensive approach to measure and estimate software development effort, arousing interest of software development market for this metric. When organizations are considering the migration of their historical measure basis for a new measurement unit, there is a consequent high cost to measure the legacy projects. In this sense, the purpose of this work is to propose an alternative to migrate historical bases of Function Points to COSMIC. The approach proposes a conversion factor, which was found from the measurement of four software development projects analyzed in these two techniques to update its data without the cost of redoing the entire historical basis.
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LIN, CHI-JUI, and 林紀睿. "A Software Maintenance Project Size Estimation Tool Based On Cosmic Full Function Point And Coupling Metric." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/q4mp6u.

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碩士<br>國立高雄師範大學<br>軟體工程與管理學系<br>105<br>The cost of software maintenance is constantly growing. The maintenance cost takes almost eighty-percent budget of software companies. Software size estimation is an important basis step to assess the manpower, the schedule and the budget in the initial project planning phase. Function point methods are widely adopted in estimating the size of a software under development. However, the function point calculation of a maintenance project is different from that of a development project. In COSMIC-FFP, when analyzing a system developed from scratch, all messages in a sequence diagram will be accumulated as function points. However, when analyzing maintenance project, if the method invoked by a message is the same as the previous version, such a messages will not be included in the function point calculation. It is necessary to distinguish between the unchanged and new or enhanced functions in order to identify the potential maintenance cost. Besides function points, some object-oriented metrics can be helpful in predicting the size of a project. Coupling metrics are one of such metrics. Reference to coupling metrics has the potential to produce more accurate size estimation through including more impacting factors. This study proposes a method to distinguish between existing and new or changed function points for maintenance projects and develops a supporting tool for COSMIC-FFP. We also transform the traditional object-oriented metrics in the context of functional processes to estimate the size of a software system under maintenance. By comparing the differences between two versions of a system, a linear regression model based on function points and coupling metrics can be established. Three models are built for three different application domains, and their predicting powers are shown to be more accurate than traditional function point estimation models.
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Books on the topic "COSMIC function points"

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Zubova, Elena. Basics of makeup art. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/1971857.

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The textbook reveals the main points of the history of make-up and make-up, gives an idea of the structure of the skin, its physiological functions, as well as modern cosmetic skin care technologies. The article examines the color theory and its application in the color palette, taking into account the physiological characteristics of a person, methods of correcting the shape of the face, eyes, lips, eyebrows, types and rules of makeup and makeup for different age groups. The professional techniques of the makeup artist are analyzed. Meets the requirements of the federal state educational standards of secondary vocational education of the latest generation. It is intended for students of secondary vocational educational institutions, as well as for students enrolled in the professional additional training program in the profession of "Hairdresser", in short-term courses at the educational institution.
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Abran, Alain, and Reiner Dumke. Cosmic Function Points. Taylor & Francis Group, 2019.

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Dumke, Reiner, and Alain Abran, eds. COSMIC Function Points. Auerbach Publications, 2016. http://dx.doi.org/10.1201/b10724.

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Abran, Alain, and Reiner Dumke. Cosmic Function Points. Taylor & Francis Group, 2011.

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COSMIC function points: Theory and advanced practices. Auerbach Publications, 2011.

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Giles, Bretton T., and Shawn P. Lambert, eds. New Methods and Theories for Analyzing Mississippian Imagery. University Press of Florida, 2021. http://dx.doi.org/10.5744/florida/9781683402121.001.0001.

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In this book, various scholars explore how stylistic and iconographic analyses of Mississippian imagery provide new perspectives on the beliefs, narratives, public ceremonies, ritual regimes, and expression of power in Mississippian communities. Their work advances through well-contextualized case studies that build on Vernon James Knight’s Iconographic Method in New World Prehistory. It is organized into three sections:(1) the use of style in Mississippian iconographic studies, (2) interpreting Mississippian imagery, and (3) situating and historicizing Mississippian symbols. Semon addresses regional variation in Late Mississippian complicated stamped ceramic assemblages of the filfot-cross motif along the Georgia coast. Stauffer investigates Mississippian spider-themed imagery, which are carved on marine shell, copper, stone, and wood media. Scarry presents a preliminary assessment of Pensacola ceramic vessels from Choctawhatchee Bay, Florida. Lankford examines how comparative mythology and the analysis of historic-geographic patterns can have a recursive relationship with iconographic analyses. Dye delves into how owl effigy vessels are a materialization of witchcraft in Mississippian societies and how elites employed witchcraft accusations for political aggrandizement. Giles considers how the imagery on certain Pecan Point headpots materializes a layered cosmos and might typify (mnemonic) parallelism. Nowak employs a Peircean approach to consider the agential properties of Early Caddo bottles and how they might have functioned as Native American bundles. Lambert traces how Caddo pottery and motifs moved through two diverse areas and how these movements resulted in the transformation of iconographic meanings. Knight provides an extension of his perspective on iconographic analysis and its relationship to Mississippian archaeology.
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Book chapters on the topic "COSMIC function points"

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Corazza, Anna, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, and Federica Sarro. "From Function Points to COSMIC - A Transfer Learning Approach for Effort Estimation." In Product-Focused Software Process Improvement. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26844-6_19.

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Abualkishik, Abedallah Zaid. "A Review Study on the Accuracy of Conversion Between IFPUG FPA and COSMIC Function Points." In Smart Technologies and Innovation for a Sustainable Future. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01659-3_5.

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Börner, G., and Y. Jing. "The 3-Point Correlation Function of the Cosmic Matter Distribution." In Astrophysics and Space Science Library. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4960-0_24.

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"Background and Overview of the COSMIC-ISO 19761." In COSMIC Function Points. Auerbach Publications, 2011. http://dx.doi.org/10.1201/b10724-2.

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"Measurement, Theoretical Basics and Aspects of the COSMIC-ISO 19761." In COSMIC Function Points. Auerbach Publications, 2011. http://dx.doi.org/10.1201/b10724-3.

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"Methodologies of the COSMIC Application in Practice." In COSMIC Function Points. Auerbach Publications, 2011. http://dx.doi.org/10.1201/b10724-4.

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"Case Studies of COSMIC Usage and Benefits in Industry." In COSMIC Function Points. Auerbach Publications, 2011. http://dx.doi.org/10.1201/b10724-5.

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"Foundations of Measurement Tools with COSMIC." In COSMIC Function Points. Auerbach Publications, 2011. http://dx.doi.org/10.1201/b10724-6.

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Yeh Dowming, Chen Yi-Hong, Yang Chih-Ying, Chen Li-Wei, Wang Ying-Hsiu, and Chen Kai-Wei. "Applying reverse engineering and complexity analysis to refine a cost estimation model based on function point." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-484-8-1753.

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Software size estimation plays an important role in software development. There are methods proved to be helpful in providing a more systematic way in making estimates, in particular, those based on function points. Among various function point analysis methods, COSMIC-FFP is an approach more suitable for object-oriented systems and its application is relatively easy. However, when a system is involved with some complex computation, COSMIC-FFP method does not provide a clear mechanism which adjusts the weighting of these raw function points. In this study, we develop a tool to support the procedure by integrating reverse engineering-based function points with complexity analysis. Then, the unadjusted function points and complexity metrics are combined in statistical analyses to produce regression models which can produce an estimate of software size based on COSMIC-FFP and complexity. A study case is performed to verify the effectiveness of our method. The results are encouraging.
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Ariew, André, and Mark Perlman. "Introduction." In Functions. Oxford University PressOxford, 2002. http://dx.doi.org/10.1093/oso/9780199255801.003.0001.

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Abstract Humans often create objects with a purpose in mind, endowing the objects with particular functions. It is taken to be relatively unproblematic to have artifacts receive their functions from the intentions of their inventors. For example, can-openers are invented with the function of opening cans. But functions have a checkered philosophical history when applied to the natural world. In the past, they have been expected to carry a lot of explanatory weight, sometimes to the point of investing every event and every part of every object with either some cosmic function or some end-directing inner force.
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Conference papers on the topic "COSMIC function points"

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Thompson, Conall, Michael Handley, Daniel Olesker, Jonathan M. Taylor, and Andrew R. Harvey. "Twin-Airy Point Spread Function for 3D Super Resolution Microscopy." In Computational Optical Sensing and Imaging. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cosi.2024.cf4b.3.

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We demonstrate how a Twin-Airy Point Spread Function can be employed in super-resolution microscopy to combine state-of-the-art 3D localisation precision and depth of field with the potential for an order-of-magnitude increase in emitter densities.
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Hira, Anandi, and Barry Boehm. "COSMIC Function Points Evaluation for Software Maintenance." In ISEC '18: Innovations in Software Engineering Conference. ACM, 2018. http://dx.doi.org/10.1145/3172871.3172874.

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Lavazza, Luigi, and Sandro Morasca. "A study of non-linearity in the statistical convertibility of function points into COSMIC function points." In the Workshop. ACM Press, 2010. http://dx.doi.org/10.1145/1921705.1921708.

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Rabbi, Md Forhad, Shailendra Natraj, and Olorisade Babatunde Kazeem. "Evaluation of Convertibility Issues between IFPUG and COSMIC Function Points." In 2009 Fourth International Conference on Software Engineering Advances (ICSEA). IEEE, 2009. http://dx.doi.org/10.1109/icsea.2009.94.

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Ferrucci, Filomena, Carmine Gravino, and Federica Sarro. "A Case Study on the Conversion of Function Points into COSMIC." In 2011 37th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA). IEEE, 2011. http://dx.doi.org/10.1109/seaa.2011.70.

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Gencel, Cigdem, and Carl Bideau. "Exploring the Convertibility between IFPUG and COSMIC Function Points: Preliminary Findings." In 2012 Joint Conf of 22nd Int'l Workshop on Software Measurement and the 7th Int'l Conference on Software Process and Product Measurement (IWSM-MENSURA). IEEE, 2012. http://dx.doi.org/10.1109/iwsm-mensura.2012.33.

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Santillo, Luca. "Easy Function Points -- 'Smart' Approximation Technique for the IFPUG and COSMIC Methods." In 2012 Joint Conf of 22nd Int'l Workshop on Software Measurement and the 7th Int'l Conference on Software Process and Product Measurement (IWSM-MENSURA). IEEE, 2012. http://dx.doi.org/10.1109/iwsm-mensura.2012.29.

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Paz, Freddy, Claudia Zapata, and José Antonio Pow-Sang. "An approach for effort estimation in incremental software development using cosmic function points." In the 8th ACM/IEEE International Symposium. ACM Press, 2014. http://dx.doi.org/10.1145/2652524.2652571.

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Plebaniak, Zbigniew, Jacek Szabelski, Tadeusz Wibig, and Lech Piotrowski. "Point Spread Function of EUSO-TA detector." In 35th International Cosmic Ray Conference. Sissa Medialab, 2017. http://dx.doi.org/10.22323/1.301.0460.

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Rajapaksha, Pavith, and Thareendra Keerthi Wijayasiriwardhane. "Functional Size Measurement of IoT Devices using COSMIC Function Point: A Novel Set of Guidelines." In 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE). IEEE, 2024. http://dx.doi.org/10.1109/scse61872.2024.10550485.

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