Testing JavaScript Applications
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This slide goes from an introduction to general software testing down to testing of javascript application, explaining why test, when to test and what to test in an application. Mocha framework was used to explain how testing works in JS. Talk Presented at #forLoopKaduna Meetup on July 1st, 2017
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Optimizing Web Performance for Mobile Users
Optimizing Web Performance for Mobile UsersMuhammad Samu The document discusses optimizing web performance for mobile users. It notes that most internet users now access the web via mobile, with over 68% of the world using unique mobile devices. Slow page load times can negatively impact user engagement and conversions. The document recommends minimizing page size by compressing and minifying scripts and stylesheets, optimizing images, code splitting large scripts, caching static files, prioritizing visible content, reducing HTTP requests, and lazy loading images to improve performance for mobile users.
Progressive Web Apps 101
Progressive Web Apps 101Muhammad Samu A gentle Introduction to the concept of Progressive Web Apps, explaining the key concept needed to build a website/app that works even when your user is on a flaky network.
Building Offline Ready and Installable Web App
Building Offline Ready and Installable Web AppMuhammad Samu This talks introduces Progressive Web Apps as a way of building web applications that works like native application, keeping users engaged even when on flaky or no network connection also giving them the ability to install the app on their home screen
Offline First with Service Worker
Offline First with Service WorkerMuhammad Samu slide for my talk at DevFest Abuja 2015, where I explained the process involved in developing offline first app by leveraging on the power of service worker.
Getting Started with Firebase Cloud Functions
Getting Started with Firebase Cloud FunctionsMuhammad Samu Slide for my talk on Firebase Cloud Functions at GDG Covenant University's GCP Next 17 Extended. Went through the functions available for Firebase users as at April 1st 2017.
Becoming a Software Developer
Becoming a Software DeveloperMuhammad Samu This document provides information about becoming a software developer. It discusses that the best way to prepare is to write programs and study other programs. It defines a developer as an individual who builds and creates software and applications by writing, debugging, and executing source code. Developers are also known as software developers, computer programmers, or software engineers. The document discusses that developers are problem solvers who analyze user needs to design and develop software. It provides tips for becoming a developer such as setting goals, choosing a language, practicing, using developer tools, reading other code, and joining communities.
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Top 10 Client Portal Software Solutions for 2025.docxPortli Discover the top 10 client portal software solutions for 2025. Streamline communication, ensure security, and enhance client experience.
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How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.
Exploring Wayland: A Modern Display Server for the Future
Exploring Wayland: A Modern Display Server for the FutureICS Wayland is revolutionizing the way we interact with graphical interfaces, offering a modern alternative to the X Window System. In this webinar, we’ll delve into the architecture and benefits of Wayland, including its streamlined design, enhanced performance, and improved security features.
Secure Test Infrastructure: The Backbone of Trustworthy Software Development
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
Societal challenges of AI: biases, multilinguism and sustainability
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...University of Hawai‘i at Mānoa This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
Designing AI-Powered APIs on Azure: Best Practices& Considerations
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Not So Common Memory Leaks in Java WebinarTier1 app This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.
Explaining GitHub Actions Failures with Large Language Models Challenges, In...
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185 GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
https://arxiv.org/abs/2501.16495
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Examples of included software:
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Adobe Audition: For audio editing and mixing.
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Explore real-world nonprofit use cases and success stories.
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Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AI
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Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
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Testing JavaScript Applications
- 2. Hello! Auwal Muhammad Samu Software Engineer,@intapps Community Manager, GDG Lafia Tweets: @auwalms_ Other Socials: @auwalms Mails: [email protected]
- 3. What is a Test?1
- 4. “ Testing is the process of evaluating a system or its component(s) with the intent to find whether it satisfies the specified requirements or not.
- 5. “ A process of analyzing a software item to detect the differences between existing and required conditions (that is defects/errors/bugs) and to evaluate the features of the software item. - ANSI/IEEE 1059 standard
- 6. Why write a Test?2
- 7. Write Test so as to: ◉spend less debugging time and save cost ◉ship less buggy codes ◉ensure user requirement are met ◉identify errors and gaps
- 8. What do you Test?3
- 9. Writing Tests depends on: ◉what the test is expected to achieve ◉the level and depth of the test expectation ◉Non-Functional Testing ◉Functional Testing
- 10. Image Source: http://testwithbest.blogspot.com.ng/p/ manual-testing.html
- 13. Ensure tests are written for: ◉Areas where large users will be accessing simultaneously such ◉Login/registration form ◉Bill/payment pages ◉Connection to DB ◉Expected response from database ◉Components interaction with each others
- 14. Unit Test The main aim is to isolate each part of a program and show that the section of code works correctly.
- 15. Integration Test Involves testing of combined parts of a program to ensure its working based on user requirement.
- 16. System Test Is performed when all components of a program are integrated and tested to ensure functionality.
- 17. Writing Test in JS5
- 18. JavaScript does not natively supports testing It employs the good will of some of its frameworks and library to achieve this fit for testing in both Node and browsers
- 19. Some JS Testing Frameworks ◉Mocha ◉Jasmine ◉Jest ◉Selenium ◉QUnit ◉Tape ◉Protractor
- 20. Some JS Testing Library ◉Chai ◉Sinon ◉Enzyme ◉Unexpected ◉WebdriverIO ◉ and many others
- 22. Why Mocha? ◉ a feature-rich JS testing framework that runs on node and browser ◉ most used testing framework for testing ◉ support usage of 3rd party library for assertion, mocks, spy and others
- 23. Adding Mocha to Project //Mocha can be installed with npm, bower and available on cdnjs //install globally with npm using npm install -g mocha //install as a dev dependency for your project npm install --save-dev mocha //installed using bower as bower install mocha
- 28. <demo-time/>
- 29. Akwai tambaya ? You can find me at ◉ @auwalms_ ◉ [email protected] Nagode!
Editor's Notes
- #11: 10