STAG Software presented a webinar on Aug 21, 2013 on the topic - Improving Defect Yield - a three step approach". The webinar was hosted by T Ashok, Founder & CEO, STAG Software and Architect of HBT.
STAG Software presented a webinar on Aug 21, 2013 on the topic - Improving Defect Yield - a three step approach". The webinar was hosted by T Ashok, Founder & CEO, STAG Software and Architect of HBT.
I like to take up new roles lead the team and play with data.I have turned my day to day passion to new role and I am working with Data sets to extract more and more information. I love to recognize pattern's in data and this is what I do very passionately.
The New Normal: Predictive Power on the Front LinesInside Analysis
The Briefing Room with Mike Ferguson and Alteryx
Live Webcast on Feb. 12, 2013
Today's savvy organizations know that a streamlined approach to data and applications can put the power of predictive analytics right where it needs to be: in the hands of the user. Sure, training is still required, but a real revolution is underway for the graphic design of such user interfaces. Central to this overhaul of design is the concept of intelligent, simple workflow, which enables users to get things done in an orderly fashion.
Check out the slides for this episode of The Briefing Room to hear analyst Mike Ferguson of Intelligent Business Strategies as he explains why interface design and workflow must go hand-in-hand. He will be briefed by Matt Madden of Alteryx, who will tout his company’s predictive platform, a solution that leverages an array of traditional and Big Data analytics applications, designed for problem solvers and decision makers. Madden will also provide several customer use cases that demonstrate the new normal in predictive analytics.
This outlines FIVE key application scenarios of validation using doSmartQA, a smart probing assistant to test deeply & rapidly.
It facilitates rapid testing in short sessions of Recon, Explore & Recoup, based on HyBIST -
‘Hypothesis Based Immersive Session Testing’, an intellectual practice of probing.
“Despite all the testing we do, field issues do not seem to abate. Sometimes it is a few serious issues that cause us to react intensely, sometimes it is a bunch of simple issues that make us consume bandwidth. Clearly the backlog is building up, with debts to be serviced, straining capacity to deliver new ideas.”
This is what I hear from senior engineering managers of product companies. How do you go about fixing this? Well, I have seen a flurry of activity to identify root cause(s) and address them. They help to set focus, but fizzle out.
Analysing 'quality of technical debt’ to understand types of issues that leak enables practical actions, rather than jumping into the ‘reason of why’ (root cause). Smart QA it is, to do failure analytics differently, to ‘tighten the purse’.
Technical debt is indeed a serious drain on engineering capacity, forcing one to fix issues at the expense of building revenue yielding new features. Smart failure analytics visualises problems well, enabling clear actions to strengthen practice and reduce debt significantly.
If you are “choked by technical debt”, then you may find our SmartQA consulting (stagsoftware.com/smartqa) interesting, where we unshackle your practice so that you can exploit technology.
I like to take up new roles lead the team and play with data.I have turned my day to day passion to new role and I am working with Data sets to extract more and more information. I love to recognize pattern's in data and this is what I do very passionately.
The New Normal: Predictive Power on the Front LinesInside Analysis
The Briefing Room with Mike Ferguson and Alteryx
Live Webcast on Feb. 12, 2013
Today's savvy organizations know that a streamlined approach to data and applications can put the power of predictive analytics right where it needs to be: in the hands of the user. Sure, training is still required, but a real revolution is underway for the graphic design of such user interfaces. Central to this overhaul of design is the concept of intelligent, simple workflow, which enables users to get things done in an orderly fashion.
Check out the slides for this episode of The Briefing Room to hear analyst Mike Ferguson of Intelligent Business Strategies as he explains why interface design and workflow must go hand-in-hand. He will be briefed by Matt Madden of Alteryx, who will tout his company’s predictive platform, a solution that leverages an array of traditional and Big Data analytics applications, designed for problem solvers and decision makers. Madden will also provide several customer use cases that demonstrate the new normal in predictive analytics.
This outlines FIVE key application scenarios of validation using doSmartQA, a smart probing assistant to test deeply & rapidly.
It facilitates rapid testing in short sessions of Recon, Explore & Recoup, based on HyBIST -
‘Hypothesis Based Immersive Session Testing’, an intellectual practice of probing.
“Despite all the testing we do, field issues do not seem to abate. Sometimes it is a few serious issues that cause us to react intensely, sometimes it is a bunch of simple issues that make us consume bandwidth. Clearly the backlog is building up, with debts to be serviced, straining capacity to deliver new ideas.”
This is what I hear from senior engineering managers of product companies. How do you go about fixing this? Well, I have seen a flurry of activity to identify root cause(s) and address them. They help to set focus, but fizzle out.
Analysing 'quality of technical debt’ to understand types of issues that leak enables practical actions, rather than jumping into the ‘reason of why’ (root cause). Smart QA it is, to do failure analytics differently, to ‘tighten the purse’.
Technical debt is indeed a serious drain on engineering capacity, forcing one to fix issues at the expense of building revenue yielding new features. Smart failure analytics visualises problems well, enabling clear actions to strengthen practice and reduce debt significantly.
If you are “choked by technical debt”, then you may find our SmartQA consulting (stagsoftware.com/smartqa) interesting, where we unshackle your practice so that you can exploit technology.
"We track a lot of metrics related to progress of development and quality every sprint, like backlogs, technical debt, velocity, task status etc. What is not very evident is the 'quality of movement' i.e. how well done, so that we create less debt as we move. How can I get a better insight of the quality of tests done and a more objective measure of product quality?"
Extrinsic metrics are easier to measure and give visibility of direction, progress, speed and external feel of product quality. Intrinsic metrics are deeper, harder to measure but can give greater insight into the quality of work. Measuring this requires a good structure and organisation of test artefacts. The benefit - a greater insight into effectiveness of outcome and therefore lower technical debt & greater acceleration, don't you think?
Metrics can be classified as measuring work progress, work quality, product quality and practice quality. Except for the first one on work progress where we have a lot of measures facilitated by project and test management tools, the others depend on test organisation and clarity of types of issues to uncover. 'Quality Levels' based on HBT (Hypothesis Based Testing) provides a strong foundation for these, enabling you to assess potential test effectiveness, judge product quality objectively and fine tune practice quality .
If you are keen on "insightful quality metrics", then you may find our SmartQA consulting (stagsoftware.com/smartqa) interesting, where we unshackle your practice so that you can see clearly and do far better.
“As we embrace faster release cycles, testing has become a bottleneck. Yes, we have embraced automation as the way forward. We have a huge regression suite and therefore a big backlog for automation, a tough balance to speed up and yet maintain the fast paced release rhythm. What can I do?”
Automated tests are great to monitor a system’s health. Rather than just use regression as the candidate for automation, key flows that signify the pulse of a system's health are superior, don’t you think? And, this won’t create a huge backlog for automation, right?
Most often I have seen automation embraced as the solution to speed up testing. Conceptually correct it is, the problem is - what makes it worth the while to automate? Automated tests have to be in sync with the product and are therefore not a one time effort.
Choosing the right ones implies, it needs to be at the level of user flow, and be a clear indicator of health. Unless test scenarios are well structured and organised, choosing the right ones will turn out to be difficult, and ultimately weigh you down. It then becomes a pursuit of catching up with automation rather than making it work for you.
The goal is not 100% automation, it really is no leakage of defects. Automated tests are really ‘checks’ that assess key paths for good health (correctness) while intelligent human tests are focused on finding issues(robustness). A harmonious balance between these two enables clean code to be delivered without being weighed down by automation.
If you are “weighed down by automation“, then you may find our SmartQA consulting (stagsoftware.com/smartqa) interesting, where we unshackle your practice so that you can exploit technology.
Inspired by how the world is handling Covid19, this slideshare lists actions taken and criteria met to contain the pandemic and correlate this to how we can deliver clean code for large scale software systems. This article focuses on the process flow and criteria for delivering clean code.
The act of testing is a scientific exploration of a system done in three phases - RECONNAISSANCE to understand and plan, SEARCH to look for issues, REST&RECOVER to analyse and course correct. To enable the various activities in each phase to be done quickly and effectively, is where the SEVEN Thinking Tools outlined in this presentation. How to apply these tools in a session-based approach is also briefly outlined.
This article version of this SlideShare is available at http://bit.ly/7ThinkTools.
Agile and automation have been great enablers to doing tests faster. How we can accelerate further to accomplish more by doing less is the objective of this webinar.
“Left-shifting” by smart decomposition of dev testing aided by smart lightweight aids to perform rapid dev testing will be the takeaways of this webinar.
Three ideas to regression test smarter and outline THREE AIDS to do this.
AID #1: Fault propagation analyser - Figure out how what-to-retest by doing a smarter impact analysis using a scientific approach to understanding fault propagation due to change.
AID #2 : Automation analyser - Ensure scenarios are fit-to-automate so that they are easily scriptable and easily maintainable
AID #3 : Yield analyser : Figure out how much not to regress by analysing defect yields over time to understand what parts of the system have been hardened
Well, automation is an obvious choice, ensure that the scenarios are “fit enough for automation” so that you don’t end spend much effort maintaining the scripts to be in sync with every change.
Drawing inspiration from Atul Gawande's book "The checklist manifesto", T Ashok, CEO, STAG Software, explores at how we can exploit the power of checklist to delivering good quality code.
Drawing inspiration from Atul Gawande's book "The checklist manifesto", T Ashok, CEO, STAG Software, explores at how we can exploit the power of checklist to delivering good quality code.
This is the webinar recording on the topic ‘Test Case Immunity’- Optimize testing. In this webinar we have conveyed an interesting idea of measuring “Test Case Immunity” to logically assess what test cases to drop by so that we can 'do none'
This slide share contains the webinar, slides and the transcribed audio. The discussion outlines the entities to be considered for design, level based design, the optimal approach (think & prove/execute & evaluate) and finally design techniques.
Part#2 of Tri-webinar series consisting of three webinars commencing with 'How-to question to understand an user story and identify gaps', moving onto 'How-to set clear baseline' to ensure an effective strategy, and finally culminating with 'How-to design test scenarios/cases' using a scientific and disciplined approach
Part1 of Tri-webinar series consisting of three webinars commencing with 'How-to question to understand an user story and identify gaps', moving onto 'How-to set clear baseline' to ensure an effective strategy, and finally culminating with 'How-to design test scenarios/cases' using a scientific and disciplined approach
"Language shapes the way you think" was the topic of the talk presented by T Ashok, CEO STAG Software, to a group of test professionals at a Pune-based IT services and solutions provider on June 16, 2014.
HBT Innovation Series webinar presented by T Ashok, Architect-HBT and Founder & CEO, STAG Software on the topic - Deliver Superior Outcomes Using HBT Visualization Tool - on Feb 26, 2014.
This presentation on Hypothesis Based Testing (HBT) was delivered by Mr Satvik Kini, Associate Quality Manager, Suite Test Centre, SAP Labs India Pvt. Ltd at STeP-IN Forum webinar on Dec 19, 2013.
This presentation was part of the talk delivered by T Ashok Founder & CEO STAG Software at the HSTC 2013: "Think Testing" Conference on Nov 21 & 22 at Hyderabad.
STAG’s assessment for test case potency of a cloud-based trading software helps reduce
regression test cases by 28% and regression cycle time by 40% for an award-winning B2B
e-commerce company.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
HBT Solution - Part 5 of 6
1. 3 W’S BOTHERING MANAGEMENT
WHY, WHAT AND WHEN TO
AUTOMATE?
M C Nagaraj
Director – Customer Excellence
in.linkedin.com/in/mcnagaraj
2. Hypothesis Based Testing (HBT)
A goal focused methodology to validation
Six-stage evaluation model (S1-S6)
S6 S1
Assess & Understand The central theme of HBT is
ANALYZE EXPECTATIONS “hypothesize potential defects that
can cause loss of expectations
and
S5 Tooling HBT
Understand
S2 prove that they will not exist”
SUPPORT CONTEXT
Devise Formulate The focus is on the goal and
PROOF HYPOTHESIS
how we shall achieve it
rather than the various activities
S3 S3
“goal-centric vs. activity-based”
Copyright STAG Software Private Limited, 2009 2
3. HBT and STEM
“outcome”
‘deliver clean software
S6 S1 GOAL quickly & cost-effectively’
Assess & Understand
ANALYZE EXPECTATIONS
D8 D1
Tooling D7 D2
S5
SUPPORT
STEM Understand
S2 “methodology”
D6 D3 CONTEXT
HBT a system of ways of doing
D5 D4
‘goal centered scientific
approach to validation’
Devise Formulate
PROOF HYPOTHESIS
S3 S3 “method”
STEM
a particular way of doing something
‘defect detection technology
from STAG’
Copyright STAG Software Private Limited, 2009 3
4. HBT - six stage personal test methodology
• Key focus in each stage
• Empowered by scientific approach using eight
disciplines (D1 to D8) of STEM
• 32 core concepts address factors like effectiveness,
consistency, scalability, efficiency, visibility and
agility of test methodology
• The outcome of each stage are well defined
Copyright 2011. STAG Software Pvt Ltd. All rights reserved. 4
5. HBT Stage 5 (Tooling)
Key focus: STEM discipline D5(Tooling)
Problems addressed:
• Organization is not sure on which tool they should make investment
• Functional test or non-functional test or both? What to automate?
• We have so many test cases. Where to start focusing on automation?
• We had excellent automation team who did some automation but not
working on latest version of product but no band width to look at it
• We have legacy tool used for automation it is not supported by vendor
anymore. Can we port it to another tool?
• Open source / commercial tools? Which will fit our automation strategy?
• Can you help us accelerate our automation project?
• Many things automated but product quality is still a concern!
Copyright 2011. STAG Software Pvt Ltd. All rights reserved. 5
6. Summary
Using D5 (Tooling ) we were able to address problems stated in
previous slides
• This discipline has well defined 7 steps for Functionality
assessment tooling and 6 steps for NF (LSPS – Load, Stress,
Performance and Scalability) assessment tooling
• Key deliverables: Needs and benefits document, Complexity
assessment report, Automation architecture, Tool
requirements, Automation phasing and scope, Automated
scripts
• STEM core concepts: Automation complexity assessment,
Minimal baby sitting principle, Clear separation of concerns
principle, Tooling needs analysis
Achieve effectiveness first before looking at efficiency. Certain test we
cannot execute manually
Copyright 2011. STAG Software Pvt Ltd. All rights reserved. 6