From 5125c466268e7299494f5591a48ff0dec0db4199 Mon Sep 17 00:00:00 2001
From: Rares Folea <30867783+raresraf@users.noreply.github.com>
Date: Mon, 29 Nov 2021 11:32:05 +0200
Subject: [PATCH] Update README.md

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 README.md | 18 +++++++++++++++++-
 1 file changed, 17 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index a2eff4c..b02c46b 100644
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+++ b/README.md
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 # rafMetrics
 
 
-**Now published**: [A new metric for evaluating the performance and complexity of computer programs: A new approach to the traditional ways of measuring the complexity of algorithms and estimating running times](https://ieeexplore.ieee.org/abstract/document/9481065) at the 2021 23rd International Conference on Control Systems and Computer Science (CSCS)
+**Now published**: [A new metric for evaluating the performance and complexity of computer programs: A new approach to the traditional ways of measuring the complexity of algorithms and estimating running times](https://ieeexplore.ieee.org/abstract/document/9481065) at the 2021 23rd International Conference on Control Systems and Computer Science (CSCS).
+
+```
+@INPROCEEDINGS{9481065,
+  author={Folea, Rares and Slusanschi, Emil-Ioan},
+  booktitle={2021 23rd International Conference on Control Systems and Computer Science (CSCS)}, 
+  title={A new metric for evaluating the performance and complexity of computer programs: A new approach to the traditional ways of measuring the complexity of algorithms and estimating running times}, 
+  year={2021},
+  volume={},
+  number={},
+  pages={157-164},
+  abstract={This paper presents a refined complexity calculus model: r-Complexity, a new asymptotic notation that offers better complexity feedback for similar programs than the traditional Bachmann-Landau notation, providing subtle insights even for algorithms that are part of the same conventional complexity class. The architecture-dependent metric represents an enhancement that provides better sensitivity with respect to discrete analysis.},
+  keywords={},
+  doi={10.1109/CSCS52396.2021.00033},
+  ISSN={2379-0482},
+  month={May},}
+```
 
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