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Contactless Connector Market worth $480 million by 2029 - Exclusive Report by MarketsandMarkets™

/PRNewswire/ The global contactless connector market is expected to be valued at USD 220 million in 2024 and is projected to reach USD 480 million by 2029;. ....

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Contactless Connector Market worth $480 million by 2029 - Exclusive Report by MarketsandMarkets

Contactless Connector Market worth $480 million by 2029 - Exclusive Report by MarketsandMarkets
finanznachrichten.de - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from finanznachrichten.de Daily Mail and Mail on Sunday newspapers.

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Contactless Connector Market worth $480 million by 2029 - Exclusive Report by MarketsandMarkets™

Contactless Connector Market worth $480 million by 2029 - Exclusive Report by MarketsandMarkets™
tmcnet.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from tmcnet.com Daily Mail and Mail on Sunday newspapers.

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Die Casting Product Market to Witness Significant Incremental

Die Casting Product Market to Witness Significant Incremental
openpr.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from openpr.com Daily Mail and Mail on Sunday newspapers.

Software Analytics Market , Market Overview Of Software Analytics , Software Analytics , Key Benefits , Market Overview , Regional Analysis , Market Segmentation , Future Trends Upto ,

"Towards automating self-admitted technical debt repayment" by Abdulaziz Alhefdhi, Hoa Khanh Dam et al.

Context: Self-Admitted Technical Debt (SATD) refers to the technical debt in software that is explicitly flagged, typically by the source code comment. The SATD literature has mainly focused on comprehending, describing, detecting, and recommending SATD. Most recently, there have been efforts to study the state of the code before and after removing the SATD comment. While these efforts serve as a preliminary step towards the repayment of SATD, actual attempts towards automating SATD repayment, to the best of our knowledge, are yet to be made. Objective: In this paper, we propose the first attempt towards direct, complete, and automated SATD repayment by providing two main contributions. The first contribution is an empirical study of how the SATD comment relates to repaying the debt. The second contribution is DLRepay, our deep learning approach for SATD repayment. Method: We developed a SATD Repayment dataset, namely SATD-R, and established a taxonomy based on the relationship and hel ....

Self Admitted Technical Debt , Technical Debt , Deep Learning , Self Admitted Technical Debt , Software Analytics , Software Maintenance , Software Quality , Echnical Debt Repayment ,