The slides from Software Diagnostics Services seminar (13th of May 2013) about phenomenological, hermeneutical, and analytical approaches to software diagnostics. Topics include: Definitions of Software Diagnostics, Diagnostics Pattern, The Definition of Problem from Historical Thesaurus, The Definition of Understanding of Problems, Projection to Patterns, Patterns-in-artifact, Da-Signs, CARE, Software Phenomenology and Hermeneutics, Understanding of Patterns, Sources of Interpretation, Patterns as Phenomena, Explanation in Software Diagnostics, Human-Assisted Software Diagnostics, Analytical Philosophy and Abductive Diagnostics, Software and Time.
A Benchmark Study on Sentiment Analysis for Software Engineering ResearchNicole Novielli
PAPER here: https://arxiv.org/abs/1803.06525
A recent research trend has emerged to identify developers’ emotions, by applying sentiment analysis to the content of communication traces left in collaborative development environments. Trying to overcome the limitations posed by using off-the-shelf sentiment analysis tools, researchers recently started to develop their own tools for the software engineering domain. In this paper, we report a benchmark study to assess the performance and reliability of three sentiment analysis tools specifically customized for software engineering. Furthermore, we offer a reflection on the open challenges, as they emerge from a qualitative analysis of misclassified texts.
The slides from Software Diagnostics Services seminar (14th of January, 2013) about how pattern-based software diagnostics, troubleshooting, and debugging address software post-construction problem solving pattern life cycle: from the discovery of a new pattern through its integration into an existing pattern catalogue and pattern language, testing, packaging and delivering to pattern consumers with subsequent usage, refactoring and writing case studies. Topics include: Definitions of Software Diagnostics, Diagnostics Pattern, Pattern Orientation, Pattern Cloud, Pattern Catalogs, Pattern Catalog Classification, Pattern Catalog Partition, Pattern Implementation, Pattern Forms, Pattern Networks, The Relationship between Software Construction Patterns and Software Diagnostics Patterns, Pattern Sequences, Pattern-Driven vs. Pattern-Based, Pattern Catalog Evolution, Pattern Packaging and Delivery, Economic Benefits of Pattern-Oriented Software Diagnostics.
The slides from Software Diagnostics Services seminar (17th of September, 2012) about how to apply systems theory and systems thinking for effective and efficient abnormal software behavior diagnostics: the foundation of software troubleshooting and debugging. Topics include: Software Diagnostics vs. Software Problem Solving, General Systems-Theory, Software System and Environment, Using Humanities, Isomorphic Systems, Isomorphic Patterns, Isomorphic Diagnostics, Isomorphic Disciplines, Metaphorical Bijection, Complementarity (Artifacts, Reports, Analysis), Decomposition of Behavior, Holistic Approach, Diagnostics Complexity, First Fault Diagnosis, Software Diagnostics Tools.
201209 An Introduction to Building Affective-Driven Self-Adaptive Software Javier Gonzalez-Sanchez
One important characteristic in modern software systems is self-
adaptation, the capability of monitoring and reacting to changes into the environment. A particular case of self-adaptation is affect-driven self- adaptation. Affect-driven self-adaptation involves using sensing devices to measure physiological signals of human affectivestate’s (emotions) changes, learning about the meaning of those changes, and then reacting (self-adapting) in consequence. Affect-driven self-adaptive systems take advantage of brain-computer interfaces, eye-tracking, face-based emotion recognition, and sensors to measure physiological signals.
Systems such as learning environments, health care systems, and videogames are able to take advantage of affect-driven self-adaptive capabilities. Today these capabilities are brittle, costly to change, difficult to reuse, and limited in scope. A software factory approach has been suggested to make feasible adding affective-driven self-adaptive capabilities either into new or existing systems. Software factories capture knowledge of how to produce applications that share common characteristics and make that knowledge available in the form of assets (patterns, model, framework, and tools) and systematically apply those assets to automate development reducing cost and time while improving product quality.
This talk provides a sneak peek of affective-driven self-adaptive capabilities and explores how a software factory approach is used to build affect-driven self-adaptive software.
A Benchmark Study on Sentiment Analysis for Software Engineering ResearchNicole Novielli
PAPER here: https://arxiv.org/abs/1803.06525
A recent research trend has emerged to identify developers’ emotions, by applying sentiment analysis to the content of communication traces left in collaborative development environments. Trying to overcome the limitations posed by using off-the-shelf sentiment analysis tools, researchers recently started to develop their own tools for the software engineering domain. In this paper, we report a benchmark study to assess the performance and reliability of three sentiment analysis tools specifically customized for software engineering. Furthermore, we offer a reflection on the open challenges, as they emerge from a qualitative analysis of misclassified texts.
The slides from Software Diagnostics Services seminar (14th of January, 2013) about how pattern-based software diagnostics, troubleshooting, and debugging address software post-construction problem solving pattern life cycle: from the discovery of a new pattern through its integration into an existing pattern catalogue and pattern language, testing, packaging and delivering to pattern consumers with subsequent usage, refactoring and writing case studies. Topics include: Definitions of Software Diagnostics, Diagnostics Pattern, Pattern Orientation, Pattern Cloud, Pattern Catalogs, Pattern Catalog Classification, Pattern Catalog Partition, Pattern Implementation, Pattern Forms, Pattern Networks, The Relationship between Software Construction Patterns and Software Diagnostics Patterns, Pattern Sequences, Pattern-Driven vs. Pattern-Based, Pattern Catalog Evolution, Pattern Packaging and Delivery, Economic Benefits of Pattern-Oriented Software Diagnostics.
The slides from Software Diagnostics Services seminar (17th of September, 2012) about how to apply systems theory and systems thinking for effective and efficient abnormal software behavior diagnostics: the foundation of software troubleshooting and debugging. Topics include: Software Diagnostics vs. Software Problem Solving, General Systems-Theory, Software System and Environment, Using Humanities, Isomorphic Systems, Isomorphic Patterns, Isomorphic Diagnostics, Isomorphic Disciplines, Metaphorical Bijection, Complementarity (Artifacts, Reports, Analysis), Decomposition of Behavior, Holistic Approach, Diagnostics Complexity, First Fault Diagnosis, Software Diagnostics Tools.
201209 An Introduction to Building Affective-Driven Self-Adaptive Software Javier Gonzalez-Sanchez
One important characteristic in modern software systems is self-
adaptation, the capability of monitoring and reacting to changes into the environment. A particular case of self-adaptation is affect-driven self- adaptation. Affect-driven self-adaptation involves using sensing devices to measure physiological signals of human affectivestate’s (emotions) changes, learning about the meaning of those changes, and then reacting (self-adapting) in consequence. Affect-driven self-adaptive systems take advantage of brain-computer interfaces, eye-tracking, face-based emotion recognition, and sensors to measure physiological signals.
Systems such as learning environments, health care systems, and videogames are able to take advantage of affect-driven self-adaptive capabilities. Today these capabilities are brittle, costly to change, difficult to reuse, and limited in scope. A software factory approach has been suggested to make feasible adding affective-driven self-adaptive capabilities either into new or existing systems. Software factories capture knowledge of how to produce applications that share common characteristics and make that knowledge available in the form of assets (patterns, model, framework, and tools) and systematically apply those assets to automate development reducing cost and time while improving product quality.
This talk provides a sneak peek of affective-driven self-adaptive capabilities and explores how a software factory approach is used to build affect-driven self-adaptive software.
A Survey on Speech Recognition with Language Specificationijtsrd
As a cross disciplinary, speech recognition is entirely based on the speech as the survey object. Speech recognition allows the machine to convert the speech signal into text or commands via the process of identification and understanding. Speech recognition involves in various fields of physiology, psychology, linguistics, computer science and signal processing, and is even related to the person’s body language, and its goal is to achieve natural language communication between man and machine. The speech recognition technology is gradually becoming the key technology of the IT man machine interface. This paper describes the development of speech recognition technology and its basic principles, methods, reviewed the classification of speech recognition systems, speech recognition approaches and voice recognition technology, analyzed the problems faced by the speech recognition. Dr. Preeti Savant | Lakshmi Sandhya H "A Survey on Speech Recognition with Language Specification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49370.pdf Paper URL: https://www.ijtsrd.com/computer-science/speech-recognition/49370/a-survey-on-speech-recognition-with-language-specification/dr-preeti-savant
NeuroVR 1.5 - Open Source VR system for neuroscience and behavioral healthcareRiva Giuseppe
NeuroVR 1.5 is an open source virtual reality toolkit for researchers, psychologists and neuroscientists. Using it is possible to create custom virtual environments without any technical experience.
It will help you to know about the uses of application software. Everyday purpose, we depend on various kinds of application software. Which makes our life and specific task easier. So, it is important to know details about application software and uses of it.
These Notes from the class of BS EDUCATION 1st Semester (Spring) Session 2023-2027 Teacher :Ch Naveed Afzal
semester started in march 2023 and end in july 2023
[After Going Live Studio] Software archaeologyGlobant
While almost all software development paradigms are made for building from scratch, Software Archaeology is our method for evolving applications that were built by other people.
Artificial intelligence in health care by Islam salama " Saimo#BoOm "Dr-Islam Salama
A Lecture about basics and concepts of Artificial Intelligence in health care & there applications
محاضرة عامة حول الذكاء الإصطناعي وأساسياته في الرعاية الصحية والطبية وتطبيقاته
Software is a set of instructions to acquire inputs and to manipulate them to produce the desired output in terms of functions and performance as determined by the user of the software
Accelerated Windows Debugging 3 training public slidesDmitry Vostokov
The slides from Software Diagnostics Services Accelerated Windows Debugging 3 training. The training description: "The full transcript of Software Diagnostics Services training with 14 step-by-step exercises, notes, and source code of specially created modeling applications. Learn live local and remote debugging techniques in kernel, user process and managed .NET spaces using WinDbg debugger. The unique and innovative course teaches unified debugging patterns applied to real problems from complex software environments. The second edition was fully reworked and updated to use the latest WinDbg version and Windows 10."
Accelerated .NET Memory Dump Analysis training public slidesDmitry Vostokov
The slides from Software Diagnostics Services .NET memory dump analysis training. The training description: "Covers 22 .NET memory dump analysis patterns plus additional 11 unmanaged patterns. Learn how to analyze CLR 4 .NET application and service crashes and freezes, navigate through memory dump space (managed and unmanaged code) and diagnose corruption, leaks, CPU spikes, blocked threads, deadlocks, wait chains, resource contention, and much more. The training consists of practical step-by-step exercises using Microsoft WinDbg debugger to diagnose patterns in 64-bit and 32-bit process memory dumps. The training uses a unique and innovative pattern-oriented analysis approach to speed up the learning curve. The third edition was fully reworked to use the latest WinDbg version and Windows 10. It also includes 9 optional legacy exercises from the previous editions covering CLR 2 and 4, Windows Vista and Windows 7. Prerequisites: Basic .NET programming and debugging. Audience: Software technical support and escalation engineers, system administrators, DevOps, performance and reliability engineers, software developers and quality assurance engineers."
A Survey on Speech Recognition with Language Specificationijtsrd
As a cross disciplinary, speech recognition is entirely based on the speech as the survey object. Speech recognition allows the machine to convert the speech signal into text or commands via the process of identification and understanding. Speech recognition involves in various fields of physiology, psychology, linguistics, computer science and signal processing, and is even related to the person’s body language, and its goal is to achieve natural language communication between man and machine. The speech recognition technology is gradually becoming the key technology of the IT man machine interface. This paper describes the development of speech recognition technology and its basic principles, methods, reviewed the classification of speech recognition systems, speech recognition approaches and voice recognition technology, analyzed the problems faced by the speech recognition. Dr. Preeti Savant | Lakshmi Sandhya H "A Survey on Speech Recognition with Language Specification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49370.pdf Paper URL: https://www.ijtsrd.com/computer-science/speech-recognition/49370/a-survey-on-speech-recognition-with-language-specification/dr-preeti-savant
NeuroVR 1.5 - Open Source VR system for neuroscience and behavioral healthcareRiva Giuseppe
NeuroVR 1.5 is an open source virtual reality toolkit for researchers, psychologists and neuroscientists. Using it is possible to create custom virtual environments without any technical experience.
It will help you to know about the uses of application software. Everyday purpose, we depend on various kinds of application software. Which makes our life and specific task easier. So, it is important to know details about application software and uses of it.
These Notes from the class of BS EDUCATION 1st Semester (Spring) Session 2023-2027 Teacher :Ch Naveed Afzal
semester started in march 2023 and end in july 2023
[After Going Live Studio] Software archaeologyGlobant
While almost all software development paradigms are made for building from scratch, Software Archaeology is our method for evolving applications that were built by other people.
Artificial intelligence in health care by Islam salama " Saimo#BoOm "Dr-Islam Salama
A Lecture about basics and concepts of Artificial Intelligence in health care & there applications
محاضرة عامة حول الذكاء الإصطناعي وأساسياته في الرعاية الصحية والطبية وتطبيقاته
Software is a set of instructions to acquire inputs and to manipulate them to produce the desired output in terms of functions and performance as determined by the user of the software
Accelerated Windows Debugging 3 training public slidesDmitry Vostokov
The slides from Software Diagnostics Services Accelerated Windows Debugging 3 training. The training description: "The full transcript of Software Diagnostics Services training with 14 step-by-step exercises, notes, and source code of specially created modeling applications. Learn live local and remote debugging techniques in kernel, user process and managed .NET spaces using WinDbg debugger. The unique and innovative course teaches unified debugging patterns applied to real problems from complex software environments. The second edition was fully reworked and updated to use the latest WinDbg version and Windows 10."
Accelerated .NET Memory Dump Analysis training public slidesDmitry Vostokov
The slides from Software Diagnostics Services .NET memory dump analysis training. The training description: "Covers 22 .NET memory dump analysis patterns plus additional 11 unmanaged patterns. Learn how to analyze CLR 4 .NET application and service crashes and freezes, navigate through memory dump space (managed and unmanaged code) and diagnose corruption, leaks, CPU spikes, blocked threads, deadlocks, wait chains, resource contention, and much more. The training consists of practical step-by-step exercises using Microsoft WinDbg debugger to diagnose patterns in 64-bit and 32-bit process memory dumps. The training uses a unique and innovative pattern-oriented analysis approach to speed up the learning curve. The third edition was fully reworked to use the latest WinDbg version and Windows 10. It also includes 9 optional legacy exercises from the previous editions covering CLR 2 and 4, Windows Vista and Windows 7. Prerequisites: Basic .NET programming and debugging. Audience: Software technical support and escalation engineers, system administrators, DevOps, performance and reliability engineers, software developers and quality assurance engineers."
This episode shows process, kernel, complete and fibre bundle memory dump analysis using WinDbg and examples from Windows 8.1. Shows new changes in Explorer process. Covers Zombie Process, Spiking Thread, and Coincidental Symbolic Information memory analysis patterns.
This episode demonstrates GDB debugging and core dump analysis on Android platform. Discusses Android Linux processes and threads. Shows Invalid Pointer and Spiking Thread memory analysis patterns in the context of ARM assembly language.
This episode discusses Spiking Thread, Deadlock, and Paratext memory analysis patterns in the context of Android Java platform. Shows an example of Android Debug Bridge (ADB) usage.
This episode proposes a classification of memory leaks and provides a parameter reconstruction example from a memory dump saved after an implicit heap leak.
This episode explains raw stack; discusses Execution Residue and Past Stack Trace memory analysis patterns; provides examples for manual stack trace reconstruction and associated patterns.
The most frequently asked question in software technical support is how to save a memory dump depending on abnormal software behaviour. This episode provides an algorithm and shows how to generate a user dump when a process suddenly disappears from Windows Task Manager.
This episode introduces malware analysis patterns and malware modelling in the context of DLL injection. Discusses victimware and Injection Residue pattern example.
This short episode introduces a revolution and paradigm shift in software log analysis: log as a software narrative, structured analysis according to patterns, product and platform independent common language, trace analysis pattern classification.
Covers what's new in Windows 8 complete memory dump analysis, WinDbg update and introduces new pattern Frozen Process and support for collective pointers.
Debugging TV Frames episode 0x15 discusses inter-correlation in software trace and log analysis using Windows messaging as an example. This episode also features Citrix MessageHistory as a recording tool and Excel as an analysis tool.
Debugging TV Frames episode 0x14 discusses multibraiding and adjoint threading in software log and trace analysis with practical examples from Process Monitor, Excel, and Citrix CDFAnalyzer.
Debugging TV Frames episode 0x13 discusses C++ return value optimization in the context of Mac OS X, Xcode and software trace analysis patterns. Features RVO internals and its x64 assembly language implementation.
This episode introduces software diagnostics pattern language for Mac OS X, shows core dump analysis pattern interaction example and partial stack trace reconstruction, discusses Truncated Stack Trace, Execution Residue, and Regular Buffer memory analysis patterns.
This episode shows how to examine stack region on Windows and Mac OS X using WinDbg and GDB. It also briefly discusses associated structural memory patterns and introduces unified diagnostics/debugging pattern language for software post-construction.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?