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Learning to Boost the Efficiency of Modern Code Review [article]

Robert Heumüller
2021 arXiv   pre-print
However, the time invest in MCR is generally substantial. The goal of this thesis is to boost the efficiency of MCR by developing AI techniques that can partially replace or assist human reviewers.  ...  This should allow us to use state-of-science algorithms from that domain to learn coding and reviewing standards directly from existing projects.  ...  However, the time invest in MCR is generally substantial. The goal of this thesis is to boost the efficiency of MCR by developing AI techniques that can partially replace or assist human reviewers.  ... 
arXiv:2104.08310v1 fatcat:ygceubvqpfelfnqnaspet2wt4a

Boosting Group-Level Synergies by Using a Shared Modeling Framework [chapter]

Yunus Sevinchan, Benjamin Herdeanu, Harald Mack, Lukas Riedel, Kurt Roth
2020 Lecture Notes in Computer Science  
Together, these experiences illustrate that the adoption of modern software engineering workflows is feasible in the dynamically changing academic context, and how these practices facilitate reliability  ...  , reproducibility, reusability, and sustainability of research software, ultimately improving the quality of the resulting scientific output.  ...  We thank the reviewers of this submission for their thoughtful remarks and suggestions and Maria Blöchl for valuable feedback on an earlier version of this manuscript.  ... 
doi:10.1007/978-3-030-50436-6_32 fatcat:esrpygkarjbe3lblruc5uqhwam

Predicting Code Review Completion Time in Modern Code Review [article]

Moataz Chouchen, Jefferson Olongo, Ali Ouni, Mohamed Wiem Mkaouer
2021 arXiv   pre-print
We formulate the prediction of the code review completion time as a learning problem.  ...  Our objective is to build and validate an effective approach to predict the code review completion time in the context of MCR and help developers better manage and prioritize their code review tasks.  ...  The main goals of this study are (i) investigate the efficiency of ML techniques to predict the code review completion time, and (ii) understand the main factors influencing the code review completion  ... 
arXiv:2109.15141v1 fatcat:xltstlxaujaqfb557lb5l7s25m

Emergency department triage prediction of clinical outcomes using machine learning models

Yoshihiko Raita, Tadahiro Goto, Mohammad Kamal Faridi, David F. M. Brown, Carlos A. Camargo, Kohei Hasegawa
2019 Critical Care  
The application of modern machine learning models may enhance clinicians' triage decision making, thereby achieving better clinical care and optimal resource utilization.  ...  We used machine learning models to predict clinical outcomes, and then compared their performance with that of a conventional approach-the Emergency Severity Index (ESI).  ...  Acknowledgements Not applicable Funding None Availability of data and materials The datasets analysed during the current study are publicly available: https:// www.cdc.gov/nchs/ahcd/datasets_documentation_related.htm  ... 
doi:10.1186/s13054-019-2351-7 fatcat:zwb4djqugvhrxcbab2u6cprhay

Local Decorrelation For Improved Detection [article]

Woonhyun Nam, Piotr Dollár, Joon Hee Han
2014 arXiv   pre-print
While effective, most boosted detectors use decision trees with orthogonal (single feature) splits, and the topology of the resulting decision boundary may not be well matched to the natural topology of  ...  Even with the advent of more sophisticated, data-hungry methods, boosted decision trees remain extraordinarily successful for fast rigid object detection, achieving top accuracy on numerous datasets.  ...  Recent boosted detectors [1, 7] achieve state-of-the-art accuracy on modern benchmarks [10, 22] while retaining computational efficiency.  ... 
arXiv:1406.1134v2 fatcat:sfcmem4y4zatjawx3ynq5lfu7i

Local Decorrelation For Improved Pedestrian Detection

Woonhyun Nam, Piotr Dollár, Joon Hee Han
2014 Neural Information Processing Systems  
While effective, most boosted detectors use decision trees with orthogonal (single feature) splits, and the topology of the resulting decision boundary may not be well matched to the natural topology of  ...  Even with the advent of more sophisticated, data-hungry methods, boosted decision trees remain extraordinarily successful for fast rigid object detection, achieving top accuracy on numerous datasets.  ...  Recent boosted detectors [1, 7] achieve state-of-the-art accuracy on modern benchmarks [10, 22] while retaining computational efficiency.  ... 
dblp:conf/nips/NamDH14 fatcat:v6zbkxvsqffiraza3brwz2dsly

Malware Detection using Deep Learning Methods

2020 International Journal of Innovative Science and Modern Engineering  
Rapid development of the internet leads the malware to become one of the most significant threads nowadays.  ...  This work will help in cyber security area and also which will help the researchers to do efficient researches.  ...  [5] presented a multi stages method to analyze the malware behavior by code review and live testing.  ... 
doi:10.35940/ijisme.f1218.046620 fatcat:fut3da7njbepxlcpogkonlz6ye

Leaked-Web: Accurate and Efficient Machine Learning-Based Website Fingerprinting Attack through Hardware Performance Counters [article]

Han Wang
2021 arXiv   pre-print
Leaked-Web examines the web browsers' microarchitectural features using various advanced machine learning algorithms ranging from classical, boosting, deep learning, and time-series models.  ...  Leaked-Web efficiently collects hardware performance counters in users' computer systems at a significantly low granularity monitoring rate and sends the samples to the remote attack's server for further  ...  Machine Learning based Classification 1) Boosting: Boosting aims to enhance the performance of machine learning algorithms, where the incorrectly classified data from the previous model is employed to  ... 
arXiv:2110.01202v1 fatcat:ix35ubeggnhwdjm6iu72pwhaty

A critical discourse analysis of impact of code-switching on modern adult language learners' motivation in Pakistan

Shafaq SAMEEN, Aisha FARİD, Muhammad Sabboor HUSSAİN
2021 Journal of Language and Linguistic Studies  
Ethics Committee Approval The authors confirm that ethical approval was obtained from G C Women University, Sialkot, Pakistan (Approval Date: August 17, 2020).  ...  The present research tries to explore the benefits of code-switching in terms of its positive impact on motivation and better comprehension of the modern-day learners, whether it boosts their morale and  ...  of code-switching in facilitating the learning process by reducing the language anxiety in learners and thus boosting their motivation.  ... 
doi:10.17263/jlls.903353 fatcat:obvy3medafcifhktv75a27ukta

Real-Time Face Identification via CNN and Boosted Hashing Forest

Yury Vizilter, Vladimir Gorbatsevich, Andrey Vorotnikov, Nikita Kostromov
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
We learn the CNN, then transform CNN to the multiple convolution architecture and finally learn the output hashing transform via new Boosted Hashing Forest (BHF) technique.  ...  This BHF generalizes the Boosted SSC approach for hashing learning with joint optimization of face verification and identification.  ...  Best modern results on LFW are obtained by ensembles of deep nets learned on different parts (patches) of face ([13, 23, 24] ).  ... 
doi:10.1109/cvprw.2016.25 dblp:conf/cvpr/VizilterGVK16 fatcat:5wjpjs4rpndn7c3misu5eils7u

The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence

David Watson
2019 Minds and Machines  
Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain.  ...  Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology.  ...  A version of this material was originally presented to the Oxford Digital Ethics Lab, where I also received helpful feedback.  ... 
doi:10.1007/s11023-019-09506-6 fatcat:ghbrw6cc5bgylovc2os6ldltpu

The Impact of Kagan's Cooperative Learning Structure (KCLS) on Grade 9 Students towards English Language Learning

2021 Contemporary Education and Teaching Research  
Owing to its importance in the era of modernization, the education ministry of Bhutan is providing professional development program in a form of training and workshops for all the English teachers to grow  ...  breaks and cheers helped them keep themselves alert and boost retention level of learning.  ...  Therefore, to boost learning achievement of the students, innovative teaching strategies should be incorporated especially in Bhutanese classrooms.  ... 
doi:10.47852/bonviewcetr2021020206 fatcat:hdwn4nfo3zcsdospegt4yhe67e

An Efficient QR Methodology for Authentication of Reviews in Hospitality Sector

Mahoor Khan
2021 International Journal for Research in Applied Science and Engineering Technology  
Social media applications already provide us with an option of sharing our reviews which helps a new visitor to know the place in advance, but it is really hard to get a holistic view of the restaurant  ...  mainly due to the fact that almost anyone can submit a review regardless of whether they have actually visited the restaurant or not.  ...  Future Scope Implementing the concepts of Bill number and QR code, restaurants can get a tremendous boost in their business.  ... 
doi:10.22214/ijraset.2021.39115 fatcat:sjfv52twobbodg6oliuecsa5ee

TOOLS SUPPORT E-LEARNING: A REVIEW

Raidah Yazid, Nur Syazwani Sukormo, Faaizah Shahbodin, Siti Nurul Mahfuzah Mohamed
2021 International Journal of Modern Education  
However, a large percentage of e-learning content fails to fulfil successful teaching and learning standards, emphasizing the need for guidelines on how to structure online resources for effective learning  ...  The term of Web 2.0 means internet applications which allow sharing and collaboration opportunities to people and help them to express themselves online. e-Learning is a term used in education to describe  ...  Acknowledgement We would like to thank this work was supported by grant Industri (MTUN)/IPSB/2020/FTMK-CACT/100044, Universiti Teknikal Malaysia Melaka (UTeM).  ... 
doi:10.35631/ijmoe.310007 fatcat:p75i7zyh3ra7de4b2t5uyi53m4

A Review of Machine Learning Approaches to Power System Security and Stability

Oyeniyi Akeem Alimi, Khmaies Ouahada, Adnan M. Abu-Mahfouz
2020 IEEE Access  
A brief review of reinforcement learning (RL) and deep reinforcement learning (DRL) approaches to transient stability assessment is also presented.  ...  network offer the opportunity to build a resilient and efficient grid.  ...  In an effort to boost the efficiency and accuracy of a developed SVM based VSA approach, the authors in [125] deployed multiobjective optimization for the selection of features for the SVM training.  ... 
doi:10.1109/access.2020.3003568 fatcat:liy2h3z43rcafo63jenwpsue4y
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