Software testing
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This PPT gives a very basic understanding of Software testing as a process and some important aspects to it.
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Leveraging the Graph for Clinical Trials and Standards
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Marius Conjeaud
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Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
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Senior Product Owner - QIAGEN
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
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Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
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Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
AppSec PNW: Android and iOS Application Security with MobSF
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
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Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
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Software testing
- 1. Software Testing: An overview Presented by: Arvind Verma October, 2013
- 2. Contents 1) Software Testing 2) Testing an important Evil task 3) SDLC 4) STLC October, 2013
- 3. 1. Software Testing Definition: The process of evaluating the quality of any software Questions answered by QA. Does it meet the requirements? Is it build according to the design? Is it usable? Verification: Are we building the product RIGHT? Making sure are we on the right path. Validation: A process of finding out if the product being built is right. It is done after the development process is fully or partially complete. October, 2013
- 4. 2) Testing an important Evil task! Why do we test? • • • • • Gain confidence in the system we are building Checking against the requirements set for the system Identify the weak areas of the system Proving that the software is usable and operable Making the deployment decision easy October, 2013
- 5. 3. SDLC Software Development Life Cycle: Definition: A process of creating and maintaining a software system/product/[project. Broadly Classified in 5 steps • Planning and communication • Setting requirements • Worthiness of the system • Modularizing system • Setting measurable goals to be achieved • Design • Input: Approved SRS, Output: Small Modules • All details of the system provided in form of Process flow diagrams, UI screen shots etc. October, 2013 201
- 6. Conti… • Implementation • Detailed design is converted into software code • Unit and Integration testing also done • Testing • Functional, Non functional testing • Bug fixes and releases with bug fixes • QA certified • User acceptance testing • Deployment and Maintenance • QA certified release is made Live • Alpha and beta testing • Upgrades and maintenance activities October, 2013
- 7. 4. STLC Definition: A process which tells which test activity is to be performed and at what point of time. • Test Planning • Preparation of a high-level test plan • Test plan specifies: Scope, approach, resources and schedule • An on going process • Test Analysis • What type of testing will be done at various stages in SDLC • Need and use of automation • Creating Test case templates and test cases • Test Design • Revision of Test plan and test cases • Automation(if any) begins • Test environment is created October, 2013
- 8. Conti… • Construction and verification • Completion of all Test plans, test cases including the automation • Unit and integration testing and bug reporting. • Testing Cycles • Test execution—Bug reporting—Bug fixing—Re-test and Regression—Update test cases • Above process continues until Approved from QA • Final Testing and Implementation • All testing including acceptance, Performance and stress will be completed • Testing in production environment is done • Post Implementation • Post mortem of the complete test process • Cleaning of the test environment and other systems • Enhancing the complete cycle October, 2013