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Estimation Approaches of Machine Learning in Scrum Projects: A Review

Chitrak Vimalbhai Dave
<span title="2021-11-30">2021</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
Keywords: Machine Learning, Scrum, Scrum Projects, Effort Estimation, Agile Software Development  ...  Improper and inaccurate estimation of software projects leads to a failure, and therefore it must be considered in true letter and spirit. When Agile principle-based process models (e.g.  ...  Story point is most used unit to size a user story, i.e., 61.67% of industries employing it. As per ISPA [1] , two-thirds of software projects neglect to be conveyed on time and inside budget.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2021.38977">doi:10.22214/ijraset.2021.38977</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vhiixhefxfhcbl6ep4npcawnpy">fatcat:vhiixhefxfhcbl6ep4npcawnpy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211129191858/https://www.ijraset.com/best-journal/estimation-approaches-of-machine-learning-in-scrum-projects" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d2/4c/d24ce10a29a364030bc323f668db616e18a7ea5e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2021.38977"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A Machine Learning Approach to Quantitative Prosopography [article]

Aayushee Gupta, Haimonti Dutta, Srikanta Bedathur, Lipika Dey
<span title="2018-01-30">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we present a machine learning framework for automatically designing a people gazetteer which forms the basis of quantitative prosopographical research.  ...  The gazetteer is learnt from the noisy text of newspapers using a Named Entity Recognizer (NER).  ...  The authors would like to thank Barbara Taranto and Ben Vershbow from the NYPL Labs and Manoj Pooleery, Deepak Sankargouda and Megha Gupta for setting up the database used in this research.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1801.10080v1">arXiv:1801.10080v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ohebdikebfezpladikwz5rnlfm">fatcat:ohebdikebfezpladikwz5rnlfm</a> </span>
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Dyslexia and Dysgraphia prediction: A new machine learning approach [article]

Gilles Richard, Mathieu Serrurier
<span title="2020-04-15">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Gathering a dataset of handwritten text pictures and audio recordings, both from standard children and from dyslexic and/or dysgraphic children, we apply machine learning techniques for classification  ...  For assessing such disabilities in early childhood, children have to solve a battery of tests.  ...  Dyslexia results As pointed out in Section 3, we have developed a mobile app (Android and IOS) enabling professionals, specialist clinics and schools to participate in our research by helping us collecting  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.06401v1">arXiv:2005.06401v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jtplcwcmyjcwtkdbuygl5ebzee">fatcat:jtplcwcmyjcwtkdbuygl5ebzee</a> </span>
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Machine learning approach towards remote diagnostics and repair of electric vehicle charging processes [chapter]

K. Renatus, A. Unger, B. Baker, O. Manicke
<span title="">2021</span> <i title="VDI Verlag"> ELIV 2021 </i> &nbsp;
Therefore, this paper firstly suggests using machine learning to allow vehicles to deal with certain unknown charging behaviour through automated parameterisation.  ...  The approach is demonstrated based on an exemplary use case and is evaluated via first simulation results.  ...  Machine learning in short and preselection of approach But firstly, it needs to be discussed why ML should be considered and what "learning" means in this matter.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.51202/9783181023846-163">doi:10.51202/9783181023846-163</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g547yys3wvfmbbvx4blsowyray">fatcat:g547yys3wvfmbbvx4blsowyray</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220118155931/https://elibrary.vdi-verlag.de/10.51202/9783181023846-163.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/71/f9/71f98284f2407009a14edfca7c7d89aeebe761e2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.51202/9783181023846-163"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A computational approach to nonparametric regression: bootstrapping CMARS method

Ceyda Yazıcı, Fatma Yerlikaya-Özkurt, İnci Batmaz
<span title="2015-05-20">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h4nnd7sxwzcwhetu5qkjbcdh6u" style="color: black;">Machine Learning</a> </i> &nbsp;
In this study, it is used to obtain the empirical distributions of the parameters to determine whether they are statistically significant or not in a special case of nonparametric regression, Conic Multivariate  ...  This technique is widely used, especially, in mathematically intractable problems.  ...  All performance criteria are explained in Appendix A. In order to validate all models developed; three-fold CV approach is used.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10994-015-5502-3">doi:10.1007/s10994-015-5502-3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7l2n4ilwxrhmvgmlkwl37cz5hy">fatcat:7l2n4ilwxrhmvgmlkwl37cz5hy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809070538/http://etd.lib.metu.edu.tr/upload/12613708/index.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ee/b2/eeb24726441d7b4127cdb0baeaeccdefef8f148b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10994-015-5502-3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context [article]

Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac
<span title="2020-06-17">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Machine learning (ML) fairness research tends to focus primarily on mathematically-based interventions on often opaque algorithms or models and/or their immediate inputs and outputs.  ...  Finally, we identify community based system dynamics (CBSD) as a powerful, transparent and rigorous approach for practicing CCTF during all phases of the ML product development process.  ...  In large part this revolution has been driven by recent advancements, such as deep learning, in machine learning model design and development.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.09663v1">arXiv:2006.09663v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oelh2r2m7nbqldypsb4bg6p6qe">fatcat:oelh2r2m7nbqldypsb4bg6p6qe</a> </span>
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A Machine-Learning Approach to Automated Negotiation and Prospects for Electronic Commerce

Jim R. Oliver
<span title="">1996</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/54mp5eekpzbfrgawwofa3str7a" style="color: black;">Journal of Management Information Systems</a> </i> &nbsp;
KEY WORDS AND PHRASES: electronic commerce, genetic algorithms, machine learn- ing, negotiation support, software agents.  ...  A Machine-Learning Approach to Automated Negotiation and Prospects for Electronic Commerce JIM R. OLIVER JIM R. OLIVER was recently a visitor at the National University of Singapore.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/07421222.1996.11518135">doi:10.1080/07421222.1996.11518135</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3f6v47golver5c62sgyxlb6u4a">fatcat:3f6v47golver5c62sgyxlb6u4a</a> </span>
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A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis

Mohamed Hany Abokersh, Manel Vallès, Luisa F. Cabeza, Dieter Boer
<span title="">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qukv3edgarbe7mj7wawmy4skw4" style="color: black;">Applied Energy</a> </i> &nbsp;
GREiA is a certified agent TECNIO in the category of technology developers from the Government of Catalonia. This work is partially supported by ICREA under the ICREA Academia programme.  ...  With computationally demanding processes, the machine learning approach based on ANN is utilized to alleviate the computationally effort during the optimization phase.  ...  machine sensitivity analysis (GEM-SA) software to perform the analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.apenergy.2020.114903">doi:10.1016/j.apenergy.2020.114903</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zjblr5zelnhprkzii4hn2hkpmu">fatcat:zjblr5zelnhprkzii4hn2hkpmu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210527034404/https://pdf.sciencedirectassets.com/271429/1-s2.0-S0306261920X00079/1-s2.0-S0306261920304153/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEJP%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIFRHgA4AyIBtVZgfT6AuL%2F7kmIi2gVi78D5IVA%2B0bExCAiEAwsu%2FqYOa5P98GjSUNFRq%2FOXE7jGAZ53x3EF%2BOkSBj9Uq%2BgMIPBADGgwwNTkwMDM1NDY4NjUiDF5JSls2AYL%2FZ%2BW7virXA3RveLLyII1E3nBVKOSPthgJGOctsl0iOVGIDSm8Oy0P9z7Ja0qeKfxWO67dIhxhTx%2F6f2Mk3G2QV0No3i1KLkveITBGSL97s%2FT%2FmKdoC%2FinQ0QmpD3LrNtCjms29Uoi7PwH%2F9CxeKpZD0jQZR5MXkUBiLMxzkjn2JWqqs%2B3ldw0eWpLFE3D997Ki0p7KXbZaNAxgYgepvLn%2BIfqgJr0KdSRx4opIXSw%2FnY0MnOrLSDTqeHudc6oVIRtGEdhXNw1a7a7%2F56tsZJQgYnKtFSv42c4LrZH0k0DFnMw4bMfGNZPMUlJrPpF%2Bk%2Fo9KxBe1Q8q2JDIl6sVb3NrvU6BwdTdFXN9OWnSJFJBzDQSqxtzIriDpmHZdeXdZgYOdTPaIrhZ8zMe4oAQX%2BxBd58pKm3f6ro%2BPFxjstD826Y5htTy9nu0YoOeXfUwHTyduiBxdR7k3iltf1V9W%2Bo0mFbnGW6zxW847fQUIc47TqaDwzPTDkPGjD%2BoRaBAJwhmoCtehR450%2Fm4M1WaEh6ciE35QWU30ZjPByqmaVcI6K08%2FA3NeDVAyGiAYPtW3ACUth96kT2gz5C%2BChkuG9pxrRGVsoegY76Ue%2FPEeu8bj9oBa7dHjphcNZnI%2FdQszDOi7yFBjqlASAn%2B%2B9U083sgW8aZ5wiXK9TeMa%2F4kGxryDEaTjMF2E2w3X01ACnY8%2BIX9mNxRwmEGX2M4074drnyebhJV77OvygaTDiC1fWbIayfteBdx2iw2qjnDamretay5LMPpTm4FhfqdYzB5u1BBBA4Txzwlx2V6NI%2FMtJ04o5Fz%2FlzpNck78Zls96No2ZxHDBH6oik4ZZArz%2BFNGL4m5CjfPPqOYgK%2FPI2A%3D%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20210527T034358Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTYWFV45VMR%2F20210527%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=c8bc153905127b204860372d680e13294e05a05fd0b5ecd7839f842bf021eb77&amp;hash=baf0070c6b4b52488f209030d8dc80b319a2a334c31fe61d1c1e3f9ca260e634&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S0306261920304153&amp;tid=spdf-d8e95318-3f1f-45bf-bc6b-744f3c9a704c&amp;sid=3381c9b74a53744f859b66a8881d64e8dfa8gxrqa&amp;type=client" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/04/e4/04e471cf9ebae30640233d8465edaff390fd1567.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.apenergy.2020.114903"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

A deep learning model for estimating story points [article]

Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies
<span title="2016-09-06">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Story points are the most common unit of measure used for estimating the effort involved in implementing a user story or resolving an issue.  ...  Although there has been substantial research in software analytics for effort estimation in traditional software projects, little work has been done for estimation in agile projects, especially estimating  ...  To facilitate research in effort estimation for agile development, we have developed a new dataset for story point effort estimation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1609.00489v2">arXiv:1609.00489v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dex3i7whabfj7mh5z6vsawbosq">fatcat:dex3i7whabfj7mh5z6vsawbosq</a> </span>
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Machine Learning Approach to Personality Assessment and Its Application to Personnel Selection

JiSoo Ock, HyeRyeon An
<span title="2021-05-31">2021</span> <i title="Korean Society for Industrial and Organizational Psychology"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pmp3ijymnfa3xjuap6xgvgpv54" style="color: black;">The Korean Journal of Industrial and Organizational Psychology</a> </i> &nbsp;
As a result, machine learning-based assessment tools are becoming increasingly popular in operational settings across the globe with the anticipation that they can effectively overcome the limitations  ...  However, the provision of scientific evidence regarding the psychometric soundness and the fairness of machine learning-based assessment tools have lagged behind their use in practice.  ...  In that regard, the past and present development in personality theory and measurement can serve as a useful guiding principle for the direction of the future of machine learning-based personality assessment  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24230/kjiop.v34i2.213-236">doi:10.24230/kjiop.v34i2.213-236</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j6dvkigavjcdni42r7juf3gqzm">fatcat:j6dvkigavjcdni42r7juf3gqzm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210720065559/https://journal.ksiop.or.kr/index.php/KJIOP/article/download/389/384" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/75/45/754556f473a797f661878d558ca914a08b38e9e3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24230/kjiop.v34i2.213-236"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Story Point Effort Estimation by Text Level Graph Neural Network [article]

Hung Phan, Ali Jannesari
<span title="2022-03-14">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Estimating the software projects' efforts developed by agile methods is important for project managers or technical leads.  ...  In this paper, we show the potential and possible challenges of Graph Neural Network text classification in story point level estimation.  ...  Machine learning-based approaches have been applied to this dataset for story point estimations by [1] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.03062v2">arXiv:2203.03062v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ld4drfjvanbzvirbzhppooytpu">fatcat:ld4drfjvanbzvirbzhppooytpu</a> </span>
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A deep learning model for estimating story points

Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Thi Minh Pham, Aditya Ghose, Tim Menzies
<span title="">2018</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dthyqga2onff5nwf4agwqtrhxi" style="color: black;">IEEE Transactions on Software Engineering</a> </i> &nbsp;
Index Terms-software analytics, effort estimation, story point estimation, deep learning. ! • M. Choetkiertikul, H. Dam, and A. Ghose are with the  ...  Story points are the most common unit of measure used for estimating the effort involved in completing a user story or resolving an issue.  ...  However, effort estimation using story points is a more preferable practice in agile development.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tse.2018.2792473">doi:10.1109/tse.2018.2792473</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3ttwztmz6beu7gswijk2no3eby">fatcat:3ttwztmz6beu7gswijk2no3eby</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306030318/https://ro.uow.edu.au/cgi/viewcontent.cgi?article=3998&amp;context=eispapers1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e4/07/e407083fd984790b743f87f1e4b986f0d6607705.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tse.2018.2792473"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Toward a Machine Learning Predictive-Oriented Approach to Complement Explanatory Modeling. An Application for Evaluating Psychopathological Traits Based on Affective Neurosciences and Phenomenology

Pasquale Dolce, Davide Marocco, Mauro Nelson Maldonato, Raffaele Sperandeo
<span title="2020-03-24">2020</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5r5ojcju2repjbmmjeu5oyawti" style="color: black;">Frontiers in Psychology</a> </i> &nbsp;
Results show that the machine learning procedure selected a set of items that drastically improved the prediction accuracy of the model (167 items reached a prediction accuracy of 88.5%, that is 25.6%  ...  of incorrectly classified), compared to the predictions obtained using all the original items (260 items with a prediction accuracy of 74.4%).  ...  Another interesting use of machine learning is for demonstrating the reliability of a scale and testing for convergence validity with other variables.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fpsyg.2020.00446">doi:10.3389/fpsyg.2020.00446</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32265781">pmid:32265781</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7105860/">pmcid:PMC7105860</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wh6dq7hubvfetb35gb3elkab3e">fatcat:wh6dq7hubvfetb35gb3elkab3e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200325184858/https://fjfsdata01prod.blob.core.windows.net/articles/files/506199/pubmed-zip/.versions/1/.package-entries/fpsyg-11-00446/fpsyg-11-00446.pdf?sv=2015-12-11&amp;sr=b&amp;sig=cwyyixkiBUSzCz9jRylV%2BLnsO2dg9fsbW685%2BNiNKQc%3D&amp;se=2020-03-25T18%3A49%3A28Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fpsyg-11-00446.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0b/e9/0be93c3b317b58f5002833883ab53af0236c4a15.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fpsyg.2020.00446"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105860" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

An Effective Software Effort Estimation based on Functional Points using Soft Computing Techniques

<span title="2019-08-10">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cj3bm7tgcffurfop7xzswxuks4" style="color: black;">VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE</a> </i> &nbsp;
There are many methodologies like KLOC, Use Case Points (UCP), Class Points, Story Points, Test Case Points, Functional Points (FP), etc. to estimate effort in the software development.  ...  To estimate the effort in the early stage of software development, UCP, Story Points and FP are more preferable.  ...  In this paper Functional Point approach is used for predicting the software effort in the early stage of the software development.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.j9674.0881019">doi:10.35940/ijitee.j9674.0881019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fen4e4tqlzge7ockdhjkincouu">fatcat:fen4e4tqlzge7ockdhjkincouu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220121013746/https://www.ijitee.org/wp-content/uploads/papers/v8i10/J96740881019.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7f/c5/7fc5b99c2cf8843a7767c513f06180a731b0fcc1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.j9674.0881019"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Class point approach for software effort estimation using various support vector regression kernel methods

Shashank Mouli Satapathy, Santanu Kumar Rath
<span title="">2014</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gzykucdqqffjfa6h33tmfddele" style="color: black;">Proceedings of the 7th India Software Engineering Conference on - ISEC &#39;14</a> </i> &nbsp;
The main objective of the research work carried out in this paper is to estimate the effort of agile softwares using story point approach.  ...  Estimating effort of agile software accurately in early stage of software development life cycle is a major challenge in the software industry.  ...  Now-a-days effort estimation of softwares developed using agile methods are creating a buzz in the software development community, drawing their fair share of advocates and opponents.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2590748.2590752">doi:10.1145/2590748.2590752</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/indiaSE/SatapathyR14.html">dblp:conf/indiaSE/SatapathyR14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pvzdx3aatneupfpwehp3icngyy">fatcat:pvzdx3aatneupfpwehp3icngyy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321072419/http://ksiresearchorg.ipage.com/seke/seke14paper/seke14paper_150.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/53/37/5337f7813ddfb2957406aa57b760d1204aa2f652.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2590748.2590752"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>
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