Mnemonics are memory aids that can help recall information. They are useful for software testing to systematically consider different aspects of a product. Some examples of mnemonics for testing include:
1. SFDPO to remember structure, function, data, platform, and operations.
2. FDSFSCURA to remember various testing techniques like functionality, domain, stress, flow, scenario, claims, user, and risk testing.
3. HICCUPPS to remember factors for testing a new version like history, image, comparable products, claims, users' expectations, the product itself, purpose, and statutes.
4. FAILURE to remember elements of usability testing for error messages
This is in continuation with my last presentation about pragmatic programmer. In this I will be discussing the next 10 tips of the book Pramatic Programmer. I hope you will enjoy
The Pragmatic Programmer is a collection of ideas, observations, and recommendations for software developers. Throughout the book, they highlight these notions in a set of numbered tips, about 70 of them, which are collected on a single tear-out card situated in the back of the book. Just reading the tips, without reading the text of the book, might make these gems seem trite, empty, and obvious. But, they're not!
This is in continuation with my last presentation about pragmatic programmer. In this I will be discussing the next 10 tips of the book Pramatic Programmer. I hope you will enjoy
The Pragmatic Programmer is a collection of ideas, observations, and recommendations for software developers. Throughout the book, they highlight these notions in a set of numbered tips, about 70 of them, which are collected on a single tear-out card situated in the back of the book. Just reading the tips, without reading the text of the book, might make these gems seem trite, empty, and obvious. But, they're not!
Analysis and Design of Algorithms (ADA): An In-depth Exploration
Introduction:
The field of computer science is heavily reliant on algorithms to solve complex problems efficiently. The analysis and design of algorithms (ADA) is a fundamental area of study that focuses on understanding and creating efficient algorithms. This comprehensive overview will delve into the various aspects of ADA, including its importance, key concepts, techniques, and applications.
Importance of ADA:
Efficient algorithms play a critical role in various domains, including software development, data analysis, artificial intelligence, and optimization. ADA provides the tools and techniques necessary to design algorithms that are both correct and efficient. By analyzing the performance characteristics of algorithms, ADA enables computer scientists and engineers to develop solutions that save time, resources, and computational power.
Key Concepts in ADA:
Correctness: ADA emphasizes the importance of designing algorithms that produce correct outputs for all possible inputs. Techniques like mathematical proofs and induction are used to establish the correctness of algorithms.
Complexity Analysis: ADA seeks to analyze the efficiency of algorithms by examining their time and space complexity. Time complexity measures the amount of time required by an algorithm to execute, while space complexity measures the amount of memory consumed.
Asymptotic Notations: ADA employs asymptotic notations, such as Big O, Omega, and Theta, to express the growth rates of functions and classify the efficiency of algorithms. These notations allow for a concise comparison of algorithmic performance.
Algorithm Design Paradigms: ADA explores various design paradigms, including divide and conquer, dynamic programming, greedy algorithms, and backtracking. Each paradigm offers a systematic approach to solving problems efficiently.
Techniques in ADA:
Divide and Conquer: This technique involves breaking down a problem into smaller subproblems, solving them independently, and combining the solutions to obtain the final result. Well-known algorithms like Merge Sort and Quick Sort utilize the divide and conquer approach.
Dynamic Programming: Dynamic programming breaks down a complex problem into a series of overlapping subproblems and solves them in a bottom-up manner. This technique optimizes efficiency by storing and reusing intermediate results. The Fibonacci sequence calculation is a classic example of dynamic programming.
Greedy Algorithms: Greedy algorithms make locally optimal choices at each step, with the hope of achieving a global optimal solution. These algorithms are efficient but may not always yield the best overall solution. The Huffman coding algorithm for data compression is a widely used example of a greedy algorithm.
Backtracking: Backtracking involves searching for a solution to a problem by incrementally building a solution and undoing the choices that lead to dead-ends.
5 Steps to Usability Testing Success with Salesforce and Beyond!Missy Longshore
Missy Longshore of Longshore Consulting and Steve Fadden of Salesforce presented at Dreamforce 2015 how to leverage usability testing to drive technology adoption at your organization. Follow these 5 steps to do usability testing yourself!
Slides for a talk I gave at the British Columbia Genome Sciences Centre in Vancouver, Canada.
This is an updated and expanded version of the talk I gave at the European Bioinformatics Institute not so long ago. This one is better! :)
Usability testing is a quick, easy, and systematic way to gather hands-on feedback from users before, during, and after one of your Salesforce implementations or releases. Join us to learn how developers, system administrators, and project managers can leverage usability testing to increase user adoption and provide a roadmap for improvements. Content will focus on specific step-by-step techniques and you will walk away with everything needed to add this high ROI tool to your Salesforce toolkit.
In this chapter, we will introduce you to the
fundamentals of testing:
why testing is needed;
its limitations, objectives, and purpose;
the principles behind testing;
the process that testers follow;
and some of the psychological factors that testers must consider in their work.
Basically this slid will help to Learn software quality testing on scratch level.
Software testing is the quality measures conducted to provide stakeholders with information about the quality of the product or service. Test techniques include, but are not limited to, the process of executing a program or application with the intent of finding software bugs. It is an important part of the entire Software Development ensuring that the functionalities of the system are tested to the finest and assures the quality, correctness and completeness of the product. Software testing, depending on the testing method employed, can be implemented at any time in the development process.
Stages of testing:
o Test planning
o Test Analysis
o Test verification & Construction
o Test execution
o Defect tracking and management
o Quality Analysis Bug tracking
o Report
o Final testing & implementation
Creating a culture that provokes failure and boosts improvementBen Dressler
Everyone fails - but not everyone uses failed attempts as a source of learning and improvement. This talk outlines a framework to turn failure into gaining knowledge by understanding IF, HOW and WHY something fails.
Experimentation Excellence: Mastering the basicsOptimizely
Digital leaders like the BBC, Farfetch, or HelloFresh didn’t get there by chance. They understand that testing and learning is part of a virtuous circle in creating ever more magnetic user experiences. And it’s all driven by digital experimentation.
Now it’s your turn. If you’re at the beginning of your journey of digital transformation, this webinar will show you where to start, then how to accelerate the process as you scale up.
If you are at the very beginning of your journey, prepare to master the basics: how to get started, how to scale up once you have the skills in place, and how experimentation offers a clear ROI.
What you will learn:
- The essential building blocks of digital experimentation.
- The six steps of your Experimentation Cycle.
- Why you need to share results – and how best to do it.
Why can't programmers test and what can you do about it?
Do your developers take part in testing tasks?
Fact! [Most] developers are not good testers.
So how can we help then out?
Full webinar recording here:
https://www.practitest.com/qa-learningcenter/webinars/developer-testing-webinar/
Analysis and Design of Algorithms (ADA): An In-depth Exploration
Introduction:
The field of computer science is heavily reliant on algorithms to solve complex problems efficiently. The analysis and design of algorithms (ADA) is a fundamental area of study that focuses on understanding and creating efficient algorithms. This comprehensive overview will delve into the various aspects of ADA, including its importance, key concepts, techniques, and applications.
Importance of ADA:
Efficient algorithms play a critical role in various domains, including software development, data analysis, artificial intelligence, and optimization. ADA provides the tools and techniques necessary to design algorithms that are both correct and efficient. By analyzing the performance characteristics of algorithms, ADA enables computer scientists and engineers to develop solutions that save time, resources, and computational power.
Key Concepts in ADA:
Correctness: ADA emphasizes the importance of designing algorithms that produce correct outputs for all possible inputs. Techniques like mathematical proofs and induction are used to establish the correctness of algorithms.
Complexity Analysis: ADA seeks to analyze the efficiency of algorithms by examining their time and space complexity. Time complexity measures the amount of time required by an algorithm to execute, while space complexity measures the amount of memory consumed.
Asymptotic Notations: ADA employs asymptotic notations, such as Big O, Omega, and Theta, to express the growth rates of functions and classify the efficiency of algorithms. These notations allow for a concise comparison of algorithmic performance.
Algorithm Design Paradigms: ADA explores various design paradigms, including divide and conquer, dynamic programming, greedy algorithms, and backtracking. Each paradigm offers a systematic approach to solving problems efficiently.
Techniques in ADA:
Divide and Conquer: This technique involves breaking down a problem into smaller subproblems, solving them independently, and combining the solutions to obtain the final result. Well-known algorithms like Merge Sort and Quick Sort utilize the divide and conquer approach.
Dynamic Programming: Dynamic programming breaks down a complex problem into a series of overlapping subproblems and solves them in a bottom-up manner. This technique optimizes efficiency by storing and reusing intermediate results. The Fibonacci sequence calculation is a classic example of dynamic programming.
Greedy Algorithms: Greedy algorithms make locally optimal choices at each step, with the hope of achieving a global optimal solution. These algorithms are efficient but may not always yield the best overall solution. The Huffman coding algorithm for data compression is a widely used example of a greedy algorithm.
Backtracking: Backtracking involves searching for a solution to a problem by incrementally building a solution and undoing the choices that lead to dead-ends.
5 Steps to Usability Testing Success with Salesforce and Beyond!Missy Longshore
Missy Longshore of Longshore Consulting and Steve Fadden of Salesforce presented at Dreamforce 2015 how to leverage usability testing to drive technology adoption at your organization. Follow these 5 steps to do usability testing yourself!
Slides for a talk I gave at the British Columbia Genome Sciences Centre in Vancouver, Canada.
This is an updated and expanded version of the talk I gave at the European Bioinformatics Institute not so long ago. This one is better! :)
Usability testing is a quick, easy, and systematic way to gather hands-on feedback from users before, during, and after one of your Salesforce implementations or releases. Join us to learn how developers, system administrators, and project managers can leverage usability testing to increase user adoption and provide a roadmap for improvements. Content will focus on specific step-by-step techniques and you will walk away with everything needed to add this high ROI tool to your Salesforce toolkit.
In this chapter, we will introduce you to the
fundamentals of testing:
why testing is needed;
its limitations, objectives, and purpose;
the principles behind testing;
the process that testers follow;
and some of the psychological factors that testers must consider in their work.
Basically this slid will help to Learn software quality testing on scratch level.
Software testing is the quality measures conducted to provide stakeholders with information about the quality of the product or service. Test techniques include, but are not limited to, the process of executing a program or application with the intent of finding software bugs. It is an important part of the entire Software Development ensuring that the functionalities of the system are tested to the finest and assures the quality, correctness and completeness of the product. Software testing, depending on the testing method employed, can be implemented at any time in the development process.
Stages of testing:
o Test planning
o Test Analysis
o Test verification & Construction
o Test execution
o Defect tracking and management
o Quality Analysis Bug tracking
o Report
o Final testing & implementation
Creating a culture that provokes failure and boosts improvementBen Dressler
Everyone fails - but not everyone uses failed attempts as a source of learning and improvement. This talk outlines a framework to turn failure into gaining knowledge by understanding IF, HOW and WHY something fails.
Experimentation Excellence: Mastering the basicsOptimizely
Digital leaders like the BBC, Farfetch, or HelloFresh didn’t get there by chance. They understand that testing and learning is part of a virtuous circle in creating ever more magnetic user experiences. And it’s all driven by digital experimentation.
Now it’s your turn. If you’re at the beginning of your journey of digital transformation, this webinar will show you where to start, then how to accelerate the process as you scale up.
If you are at the very beginning of your journey, prepare to master the basics: how to get started, how to scale up once you have the skills in place, and how experimentation offers a clear ROI.
What you will learn:
- The essential building blocks of digital experimentation.
- The six steps of your Experimentation Cycle.
- Why you need to share results – and how best to do it.
Why can't programmers test and what can you do about it?
Do your developers take part in testing tasks?
Fact! [Most] developers are not good testers.
So how can we help then out?
Full webinar recording here:
https://www.practitest.com/qa-learningcenter/webinars/developer-testing-webinar/
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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