Software metrics

Software entropy

Software entropy is the idea that software eventually rots as it is changed if sufficient care is not taken to maintain coherence with product design and established design principles. The common usage is only tangentially related to entropy as defined in classical thermodynamics and statistical physics. Another aspect can be found in what is perceived to be a decay in the quality of otherwise static software that is the result of the inevitable changes to its environment, that often occur as operating systems and other components are upgraded or retired. (Wikipedia).

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Physics - Thermodynamics 2: Ch 32.7 Thermo Potential (10 of 25) What is Entropy?

Visit http://ilectureonline.com for more math and science lectures! In this video explain and give examples of what is entropy. 1) entropy is a measure of the amount of disorder (randomness) of a system. 2) entropy is a measure of thermodynamic equilibrium. Low entropy implies heat flow t

From playlist PHYSICS 32.7 THERMODYNAMIC POTENTIALS

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Entropy is NOT About Disorder

Entropy is often taught as a measure of how disordered or how mixed up a system is, but this definition never really sat right with me. How is "disorder" defined and why is one way of arranging things any more disordered than another? It wasn't until much later in my physics career that I

From playlist Thermal Physics/Statistical Physics

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A better description of entropy

I use this stirling engine to explain entropy. Entropy is normally described as a measure of disorder but I don't think that's helpful. Here's a better description. Visit my blog here: http://stevemould.com Follow me on twitter here: http://twitter.com/moulds Buy nerdy maths things here:

From playlist Best of

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The ENTROPY EQUATION and its Applications | Thermodynamics and Microstates EXPLAINED

Entropy is a hotly discussed topic... but how can we actually CALCULATE the entropy of a system? (Note: The written document discussed here can be found in the pinned comment below!) Hey everyone, I'm back with a new video, and this time it's a bit different to my usual ones! In this vid

From playlist Thermodynamics by Parth G

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Topics in Combinatorics lecture 10.0 --- The formula for entropy

In this video I present the formula for the entropy of a random variable that takes values in a finite set, prove that it satisfies the entropy axioms, and prove that it is the only formula that satisfies the entropy axioms. 0:00 The formula for entropy and proof that it satisfies the ax

From playlist Topics in Combinatorics (Cambridge Part III course)

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What Is "Entropy?"

Entropy Explained In 60 Seconds!! #Thermodynamics #Chemistry #Physics #Math #NicholasGKK #Shorts

From playlist Heat and Chemistry

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What is Entropy?

Entropy is a very weird and misunderstood quantity. Hopefully, this video can shed some light on the "disorder" we find ourselves in... ________________________________ More videos at: http://www.youtube.com/TheScienceAsylum T-Shirts: http://scienceasylum.spreadshirt.com/ Facebook: http:/

From playlist Thermodynamics

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Entropy (for data science) Clearly Explained!!!

Entropy is a fundamental concept in Data Science because it shows up all over the place - from Decision Trees, to similarity metrics, to state of the art dimension reduction algorithms. It's also surprisingly simple, but often poorly explained. Traditionally the equation is presented with

From playlist StatQuest

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Entropy production during free expansion of an ideal gas by Subhadip Chakraborti

Abstract: According to the second law, the entropy of an isolated system increases during its evolution from one equilibrium state to another. The free expansion of a gas, on removal of a partition in a box, is an example where we expect to see such an increase of entropy. The constructi

From playlist Seminar Series

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Monotonicity of the Logarithmic Energy for Random Matrices by Benjamin Dadoun

PROGRAM: TOPICS IN HIGH DIMENSIONAL PROBABILITY ORGANIZERS: Anirban Basak (ICTS-TIFR, India) and Riddhipratim Basu (ICTS-TIFR, India) DATE & TIME: 02 January 2023 to 13 January 2023 VENUE: Ramanujan Lecture Hall This program will focus on several interconnected themes in modern probab

From playlist TOPICS IN HIGH DIMENSIONAL PROBABILITY

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Nexus Trimester - John Walsh (Drexel University)

Rate Regions for Network Coding: Computation, Symmetry, and Hierarchy John Walsh (Drexel University) February 17, 2016 Abstract: This talk identifies a number of methods and algorithms we have created for determining fundamental rate regions and efficient codes for network coding proble

From playlist Nexus Trimester - 2016 - Fundamental Inequalities and Lower Bounds Theme

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Gonzalo Contreras: Ergodic optimization - lecture 2

We will show the proof that for generic Lipschitz functions on an expanding map there is a unique maximizing measure, and it is supported on a periodic orbit. Recording during the meeting "Dynamics beyond uniform hyperbolicity" the May 23, 2019 at the Centre International de Rencontres Ma

From playlist Dynamical Systems and Ordinary Differential Equations

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Sal Khan Interview with IT Conversations - January 31,2010

Interview with IT Conversations - January 31,2010

From playlist Khan Academy-Related Talks and Interviews

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Holographic Approach to QCD matter (HQCD - Lecture 4) by Johanna Erdmenger

PROGRAM THE MYRIAD COLORFUL WAYS OF UNDERSTANDING EXTREME QCD MATTER ORGANIZERS: Ayan Mukhopadhyay, Sayantan Sharma and Ravindran V DATE: 01 April 2019 to 17 April 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Strongly interacting phases of QCD matter at extreme temperature and

From playlist The Myriad Colorful Ways of Understanding Extreme QCD Matter 2019

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Looking For Grammar In All The Right Places | Alethea Power | OpenAI Scholars Demo Day 2020

Learn more: https://openai.com/blog/openai-scholars-2020-final-projects#alethea

From playlist Events and Talks

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DEFCON 13: Development of An Undergraduate Security Program

Speaker: Daniel Burroughs, University of Central Florida At the University of Central Florida, an undergraduate program in security is currently being developed. This program will offer students a bachelor's degree through the College of Engineering. It is intended to be an interdiscipli

From playlist DEFCON 13

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DEFCON 13: Auto-adapting Stealth Communication Channels

Speaker: Daniel Burroughs, University of Central Florida Intrusion detection systems and firewalls generally follow one of two methods of attack detection, signature or anomaly. Signature detection detects known attacks and anomaly detection covers unusual activity (with the hope that i

From playlist DEFCON 13

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Clojure Conj 2012 - Whence Complexity?

Whence Complexity? by: Michael Nygard Quantum Mechanics and General Relativity don't agree on much, but both claim that every physical process is perfectly reversible. The Second Law of Themodynamics says, "Not likely!" The Second Law may win in the long run, but today, at (nearly) every

From playlist Clojure Conf 2012

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20 Black Hole Questions by Jan De Boer

ORGANIZERS : Pallab Basu, Avinash Dhar, Rajesh Gopakumar, R. Loganayagam, Gautam Mandal, Shiraz Minwalla, Suvrat Raju, Sandip Trivedi and Spenta Wadia DATE : 21 May 2018 to 02 June 2018 VENUE : Ramanujan Lecture Hall, ICTS Bangalore In the past twenty years, the discovery of the AdS/C

From playlist AdS/CFT at 20 and Beyond

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What is Geometric Entropy, and Does it Really Increase? - Jozsef Beck

Jozsef Beck Rutgers, The State University of New Jersey April 9, 2013 We all know Shannon's entropy of a discrete probability distribution. Physicists define entropy in thermodynamics and in statistical mechanics (there are several competing schools), and want to prove the Second Law, but

From playlist Mathematics

Related pages

Complexity | Entropy | Algorithmic information theory | Second law of thermodynamics | Randomness | Closed system