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(PDF) Clustering support for automated tracing
https://www.researchgate.net/publication/220884032_Clustering_support_for_automated_tracing
Despite successes with automated approaches to recover trace links [7, 9, 22], full automation is difficult to achieve, and trace recovery often requires a human in the loop as pointed out in [16 ...
Clustering support for automated tracing | Proceedings …
https://dl.acm.org/doi/abs/10.1145/1321631.1321668
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[PDF] Clustering support for automated tracing
https://www.semanticscholar.org/paper/Clustering-support-for-automated-tracing-Duan-Cleland-Huang/09be086786ff2c6c707c69c071088b7177fec8f6
This paper evaluates and compares the effectiveness of several existing clustering methods to support traceability; describes a technique for incorporating them into the automated traceability process; and proposes new techniques based on the concepts of theme cohesion and coupling to dynamically identify optimal clustering granularity. Automated trace tools dynamically …
Clustering support for automated tracing | DeepDyve
https://www.deepdyve.com/lp/association-for-computing-machinery/clustering-support-for-automated-tracing-p6Xg7fAZKw
Clustering Support for Automated Tracing Chuan Duan and Jane Cleland-Huang Center for Requirements Engineering DePaul University 243 S. Wabash Avenue, Chicago IL 60604 312-362-8863 {duanchuan,jhuang}@cs.depaul.edu ABSTRACT Automated trace tools dynamically generate links between various software artifacts such as requirements, design elements, …
TraCter: A Tool for Candidate Traceability Link …
https://homepages.uc.edu/~niunn/papers/RE11-Tool.pdf
support for automated tracing tools is an important problem, because the retrieved results must be vetted by a human analyst to determine the final traceability information [3]. A majority of automated tracing tools today adopt a ranked-list presentation, in which all retrieved links are displayed as a sequential list based on the similarity score
Clustering based Contact Tracing Analysis and Prediction …
https://eudl.eu/doi/10.4108/eai.3-11-2021.171756
INTRODUCTION: Contact tracing is a method to track the victims, which have been infected from the host with any particular disease. Therefore, clustering based machine learning techniques can be employed for contact tracing. Contact tracing can be automated by using technology and thus helps us in producing much more accurate and efficient results.
Visual Support In Automated Tracing | Request PDF
https://www.researchgate.net/publication/4325577_Visual_Support_In_Automated_Tracing
Clustering support for automated tracing. Conference Paper. Full-text available. Jan 2007; Chuan Duan; Jane Cleland-Huang; Automated trace tools …
Visual Support In Automated Tracing | Proceedings of the …
https://dl.acm.org/doi/10.1109/REV.2007.7
Visual Support In Automated Tracing. Share on. Authors: Jane Cleland-Huang. View Profile, Rafal Habrat. View Profile. Authors Info & Claims ...
8 Clustering Algorithms in Machine Learning that All Data …
https://www.freecodecamp.org/news/8-clustering-algorithms-in-machine-learning-that-all-data-scientists-should-know/
Clustering is an unsupervised machine learning task. You might also hear this referred to as cluster analysis because of the way this method works. Using a clustering algorithm means you're going to give the algorithm a lot of input data with no labels and let it find any groupings in the data it can. Those groupings are called clusters. A cluster is a group of …
Cluster Analysis – Machine Learning for Pairs Trading
https://algotrading101.com/learn/cluster-analysis-guide/
The algorithm gives us 4 groups (clusters) that we need to examine. After examination, we conclude that the groups are: “Bestselling”, “Selling but mediocre”, “Worst selling”, and “Stagnating”. In this article, we’ll explore how Cluster Analysis can help us in creating a Paris Trading Strategy. Let us first remind ourselves ...
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