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Applying Machine Learning to Solve an Estimation Problem in Software Inspections [chapter]

Thomas Ragg, Frank Padberg, Ralf Schoknecht
<span title="">2002</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
We use Bayesian neural network techniques to estimate the number of defects in a software document based on the outcome of an inspection of the document.  ...  Our neural networks clearly outperform standard methods from software engineering for estimating the defect content.  ...  To solve the machine learning problem, we apply the following techniques. We use feature selection based on mutual information. As estimation models, we train neural networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-46084-5_84">doi:10.1007/3-540-46084-5_84</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qathilekijcefgdpbqwfgcpazu">fatcat:qathilekijcefgdpbqwfgcpazu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809143654/http://www.ipd.uni-karlsruhe.de/Tichy/uploads/publikationen/38/icann02.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/b2/ca/b2ca3abda19006c82dc6e3d3a8ee870aa821e403.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-46084-5_84"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Using machine learning for estimating the defect content after an inspection

F. Padberg, T. Ragg, R. Schoknecht
<span title="">2004</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;
We view the problem of estimating the defect content of a document after an inspection as a machine learning problem : The goal is to learn from empirical data the relationship between certain observable  ...  Therefore, we use a non-linear regression technique, neural networks, to solve the learning problem.  ...  Acknowledgements We would like to thank Vic Basili and Forrest Shull from the University of Maryland who generously provided the zero-one matrices from their 1994 and 1995 inspection experiments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tse.2004.1265733">doi:10.1109/tse.2004.1265733</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rkzxqmt575g7plsqp63gt7a6ni">fatcat:rkzxqmt575g7plsqp63gt7a6ni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808150945/http://www.ipd.uka.de/Tichy/uploads/publikationen/29/tse04.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/02/f1/02f1e3de3cad79a198312b5f133438bddb365bc2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tse.2004.1265733"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Page 4557 of Psychological Abstracts Vol. 93, Issue 12 [page]

<span title="">2006</span> <i title="American Psychological Association"> <a target="_blank" rel="noopener" href="https://archive.org/details/pub_psychological-abstracts" style="color: black;">Psychological Abstracts </a> </i> &nbsp;
—A novel method for estimating prediction uncertainty using machine learning techniques is presented.  ...  In addition, deep explana- tions were found to be somewhat helpful in system understanding, and this, in turn, led to improved problem-solving performance.—Journal abstract. 36604.  ... 
<span class="external-identifiers"> </span>
<a target="_blank" rel="noopener" href="https://archive.org/details/sim_psychological-abstracts_2006-12_93_12/page/4557" title="read fulltext microfilm" 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> Archive [Microfilm] <div class="menu fulltext-thumbnail"> <img src="https://archive.org/serve/sim_psychological-abstracts_2006-12_93_12/__ia_thumb.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>

Beyond prediction: Using big data for policy problems

Susan Athey
<span title="2017-02-02">2017</span> <i title="American Association for the Advancement of Science (AAAS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qirzh7firjdsjhg4tutxtir6ey" style="color: black;">Science</a> </i> &nbsp;
Machine-learning prediction methods have been extremely productive in applications ranging from medicine to allocating fire and health inspectors in cities.  ...  However, there are a number of gaps between making a prediction and making a decision, and underlying assumptions need to be understood in order to optimize data-driven decision-making.  ...  Increasingly, big-data applications make use of the toolbox from supervised machine learning (SML), in which software programs take as input training data sets and estimate or "learn" parameters that can  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1126/science.aal4321">doi:10.1126/science.aal4321</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28154050">pmid:28154050</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pdzzzzx2c5bvxijpy5jfhkkt2y">fatcat:pdzzzzx2c5bvxijpy5jfhkkt2y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719050245/http://science.sciencemag.org/content/sci/355/6324/483.full.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/d3/be/d3be27981d24edd5e71b77d2d44f28bd7bd4333d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1126/science.aal4321"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> sciencemag.org </button> </a>

Quality Inspection of Food and Agricultural Products using Artificial Intelligence

Maimunah Mohd Ali, Norhashila Hashim, Samsuzana Abd Aziz, Ola Lasekan
<span title="2021-08-23">2021</span> <i title="HH Publisher"> Advances in Agricultural and Food Research Journal </i> &nbsp;
A rising awareness for quality inspection of food and agricultural products has generated a growing effort to develop rapid and non-destructive techniques.  ...  Quality detection of food and agricultural products has prime importance in various stages of processing due to the laborious processes and the inability of the system to measure the whole of the food  ...  the technical facilities used in this research.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.36877/aafrj.a0000237">doi:10.36877/aafrj.a0000237</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zmmgbq43xvhidhzmubslr6izom">fatcat:zmmgbq43xvhidhzmubslr6izom</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220117135928/https://journals.hh-publisher.com/index.php/AAFRJ/article/download/380/303" 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/49/0c/490cc0c20dca80ad26e69286e4422d443049b1f5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.36877/aafrj.a0000237"> <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>

Emerging Estimation Techniques

Amrinder SinghGrewal, Vishal Gupta, Rohit Kumar
<span title="2012-12-18">2012</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
Software cost estimation is the process of predicting the effort required to develop a software system. Accurate cost estimation helps us complete the project within time and budget.  ...  Machine learning techniques such as neural networks, rule induction, genetic algorithm and case-based reasoning are finding application in a wide variety of fields such as computer vision; cloud computing  ...  To solve this type problem it is very necessary to know about the software cost estimation methods and models. Several software estimation techniques have there own advantages and disadvantages.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/9571-4045">doi:10.5120/9571-4045</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yegl7atyefaejakunyu6g67nla">fatcat:yegl7atyefaejakunyu6g67nla</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812141125/http://research.ijcaonline.org/volume59/number8/pxc3884045.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/0a/0e/0a0ec84c2525e6a37dcb10b10bd1c65d69da5578.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/9571-4045"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Understanding Static Code Warnings: an Incremental AI Approach [article]

Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies
<span title="2020-10-22">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Using an incremental support vector machine mechanism, this AI tool can quickly learn to distinguish spurious false alarms from more serious matters that deserve further attention.  ...  Static code analysis is a widely-used method for detecting bugs and security vulnerabilities in software systems.  ...  This framework has also been shown effective in solving other software engineering problems , such as inspecting software security vulnerabilities , finding self-admitted technical debt (Fahid et al.,  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.01387v3">arXiv:1911.01387v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jhlbjcln7jej7bqiuwiry4ribq">fatcat:jhlbjcln7jej7bqiuwiry4ribq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201024044532/https://arxiv.org/pdf/1911.01387v3.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/d3/32/d332b791de3620d8a4f20ab85e5acc1af0c086f1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.01387v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Improving Vulnerability Inspection Efficiency Using Active Learning [article]

Zhe Yu, Christopher Theisen, Laurie Williams, Tim Menzies
<span title="2018-10-14">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The goal of this paper is to improve software vulnerability inspection efficiency via an active learning based inspection support tool HARMLESS.  ...  Secondly, by estimating the total number of vulnerabilities in a software project, HARMLESS guides human to stop the inspection at a target recall.  ...  The authors would like to thank the Mozilla Firefox team for making crash and defect data available to the public, which makes this research possible.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.06545v2">arXiv:1803.06545v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i4lxfdz2pzdo5n4a5y4gk5wvam">fatcat:i4lxfdz2pzdo5n4a5y4gk5wvam</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200831201614/https://arxiv.org/pdf/1803.06545v2.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/a2/0c/a20c16b90606ed27eadd5695e101f2f0431a66cc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.06545v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Bug Severity Prediction using Class Imbalance Problem

<span title="2019-11-30">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/3sfifsouvjgadp4gfj54u3z2ku" style="color: black;">International journal of recent technology and engineering</a> </i> &nbsp;
Several machine learning techniques are applied on imbalanced as well as balanced datasets to predict the severity of software bugs using textual description.  ...  Test outcomes and statistical analysis shows improved results on balanced datasets in respect to Gmean and balance metrics instead of machine learning techniques applied on imbalanced data.  ...  Machine learning classifiers are then applied and performance is compared before and after solving the imbalance problem in terms of Geometric mean (G mean ) and balance.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.d7297.118419">doi:10.35940/ijrte.d7297.118419</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2qvkvu3lencezn4jukkrr6cnz4">fatcat:2qvkvu3lencezn4jukkrr6cnz4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191218005236/https://www.ijrte.org/wp-content/uploads/papers/v8i4/D7297118419.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/3c/d0/3cd06a9e49cf47eb1659a5bc79fab89c6829d210.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.d7297.118419"> <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>

Machine Teaching: A New Paradigm for Building Machine Learning Systems [article]

Patrice Y. Simard, Saleema Amershi, David M. Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Christopher Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing
<span title="2017-08-11">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We believe that in order to meet this growing demand for machine learning systems we must significantly increase the number of individuals that can teach machines.  ...  This significantly limits the number of machine learning systems that can be created and has led to a mismatch between the demand for machine learning systems and the ability for organizations to build  ...  Acknowledgements We thank Jason Williams for his support and contributions to Machine Teaching.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1707.06742v3">arXiv:1707.06742v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4btdbfgwkvhdtpantomqlxs4qy">fatcat:4btdbfgwkvhdtpantomqlxs4qy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191014001129/https://arxiv.org/pdf/1707.06742v3.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/2e/e5/2ee5f430d99ccdd17ac347fd053ee4e267f3682c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1707.06742v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Investigating statistical machine learning as a tool for software development

Kayur Patel, James Fogarty, James A. Landay, Beverly Harrison
<span title="">2008</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4obeqfuqs5gzbos5ah64a7m57a" style="color: black;">Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems - CHI &#39;08</a> </i> &nbsp;
working during a five-hour study to apply statistical machine learning algorithms and techniques to a realistic problem.  ...  We distill three related categories of difficulties that arise in applying statistical machine learning as a tool for software development: (1) difficulty pursuing statistical machine learning as an iterative  ...  This work was supported in part by a gift from Intel Research, by an equipment donation from Intel's Higher Education Program, and by Kayur Patel's NDSEG Fellowship.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1357054.1357160">doi:10.1145/1357054.1357160</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/chi/PatelFLH08.html">dblp:conf/chi/PatelFLH08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xfwvvbx7zvan5ptbgc4c55zwzy">fatcat:xfwvvbx7zvan5ptbgc4c55zwzy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160819140427/http://kayur.org/papers/chi2008.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/94/ac/94ac58d1b6132b07ef66c47af8bd506bdb67e0c3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1357054.1357160"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Design and Implementation of Machine Vision-Based Quality Inspection System in Mask Manufacturing Process

Minwoo Park, Jongpil Jeong
<span title="2022-05-16">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oglosmy3gbhuzobyjit4qalakq" style="color: black;">Sustainability</a> </i> &nbsp;
This paper is an application study applied to an actual mask manufacturing plant, and is a qualitative analysis study focused on improving mask productivity.  ...  In this study, the intention is to establish a machine vision-based quality inspection system in actual manufacturing process to improve sustainable productivity in the mask manufacturing process and try  ...  To solve this problem, machine vision-based inspection points are applied to the process.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/su14106009">doi:10.3390/su14106009</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/32kijfp6bfeijbamtlpfe37d34">fatcat:32kijfp6bfeijbamtlpfe37d34</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220518224132/https://mdpi-res.com/d_attachment/sustainability/sustainability-14-06009/article_deploy/sustainability-14-06009.pdf?version=1652675016" 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/ad/92/ad929eb0d2a79d37bd2ce36442598ce3614061cd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/su14106009"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Image-based Renovation Progress Inspection with Deep Siamese Networks

Petr Byvshev, Pham-An Truong, Yu Xiao
<span title="2020-02-15">2020</span> <i title="ACM"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/r2zfmv6yijbvti4wkp4555oeky" style="color: black;">Proceedings of the 2020 12th International Conference on Machine Learning and Computing</a> </i> &nbsp;
Renovation progress inspection is formulated as an ordinal classification problem, with every class representing one stage of the renovation process.  ...  Various specialized machine vision systems have been proposed for item inspection, robot supervision and quality control in manufacturing and construction industries.  ...  In Section 5 we formulate the progress inspection task as an image classification problem.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3383972.3384036">doi:10.1145/3383972.3384036</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icmlc2/ByvshevTX20.html">dblp:conf/icmlc2/ByvshevTX20</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4wt4jr4ywzanzdjokzfmmdogca">fatcat:4wt4jr4ywzanzdjokzfmmdogca</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201106145802/https://acris.aalto.fi/ws/portalfiles/portal/43946068/Byshev_Image_based_renovation_ACM.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/4a/f5/4af5746060c5616485407de76b756ec486bea25f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3383972.3384036"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Software engineering education

H.D. Mills
<span title="">1980</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yfvtieuumfamvmjlc255uckdlm" style="color: black;">Proceedings of the IEEE</a> </i> &nbsp;
In brief, university students are "supposed to be learning" while industrial students are "supposed to be working."  ...  A Serious Problem The U.S. finds itself far ahead in computer hardware but also heading for a serious problem in software. In a recent Manuscript  ...  But it is frequently difficult for students to apply such techniques in problem-solving contexts. Problem solving is a great motivator and confidence builder.  ... 
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<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922002953/http://trace.tennessee.edu/cgi/viewcontent.cgi?article=1021&amp;context=utk_harlan" 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/0c/df/0cdf1c1d21e26bda1bc185c47a7fd3dd9be1296a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/proc.1980.11814"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Machine Learning for Software Engineering: A Systematic Mapping [article]

Saad Shafiq, Atif Mashkoor, Christoph Mayr-Dorn, Alexander Egyed
<span title="2020-05-27">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Objective: This article addresses the aforementioned problem and aims to present a state-of-the-art on the growing number of uses of machine learning in software engineering.  ...  Results: This study introduces a machine learning for software engineering (MLSE) taxonomy classifying the state-of-the-art machine learning techniques according to their applicability to various software  ...  Reinforcement learning has proven to be beneficial in solving complex problems specially in healthcare, business and robotics [67] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.13299v1">arXiv:2005.13299v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4ox7os6ebbh77bafi6ebi5jxf4">fatcat:4ox7os6ebbh77bafi6ebi5jxf4</a> </span>
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