Testing JavaScript Applications

Jul 2, 2017Download as pptx, pdf

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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

Testing JavaScript
Applications
What? Why? How?

Hello!
Auwal Muhammad Samu
Software Engineer,@intapps
Community Manager, GDG Lafia
Tweets: @auwalms_
Other Socials: @auwalms
Mails: auwalforall@gmail.com

“
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.

Most read

“
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

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

Writing Tests depends on:
◉what the test is expected to
achieve
◉the level and depth of the test
expectation
◉Non-Functional Testing
◉Functional Testing

Image Source:
http://testwithbest.blogspot.com.ng/p/
manual-testing.html

Image Source: http://www.mamsys.com/quality-
assurance/functional-testing/

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

Unit Test
The main aim is to isolate each part of a
program and show that the section of
code works correctly.

Integration Test
Involves testing of combined parts of a
program to ensure its working based on
user requirement.

System Test
Is performed when all components of a
program are integrated and tested to
ensure functionality.

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

Some JS Testing Frameworks
◉Mocha
◉Jasmine
◉Jest
◉Selenium
◉QUnit
◉Tape
◉Protractor

Some JS Testing Library
◉Chai
◉Sinon
◉Enzyme
◉Unexpected
◉WebdriverIO
◉ and many others

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

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

Akwai tambaya ?
You can find me at
◉ @auwalms_
◉ auwalforall@gmail.com
Nagode!

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Agentic Techniques in Retrieval-Augmented Generation with Azure AI SearchMaxim Salnikov

Discover how Agentic Retrieval in Azure AI Search takes Retrieval-Augmented Generation (RAG) to the next level by intelligently breaking down complex queries, leveraging full conversation history, and executing parallel searches through a new LLM-powered query planner. This session introduces a cutting-edge approach that delivers significantly more accurate, relevant, and grounded answers—unlocking new capabilities for building smarter, more responsive generative AI applications. Traditional Retrieval-Augmented Generation (RAG) pipelines work well for simple queries—but when users ask complex, multi-part questions or refer to previous conversation history, they often fall short. That’s where Agentic Retrieval comes in: a game-changing advancement in Azure AI Search that brings LLM-powered reasoning directly into the retrieval layer. This session unveils how agentic techniques elevate your RAG-based applications by introducing intelligent query planning, subquery decomposition, parallel execution, and result merging—all orchestrated by a new Knowledge Agent. You’ll learn how this approach significantly boosts relevance, groundedness, and answer quality, especially for sophisticated enterprise use cases. Key takeaways: - Understand the evolution from keyword and vector search to agentic query orchestration - See how full conversation context improves retrieval accuracy - Explore measurable improvements in answer relevance and completeness (up to 40% gains!) - Get hands-on guidance on integrating Agentic Retrieval with Azure AI Foundry and SDKs - Discover how to build scalable, AI-first applications powered by this new paradigm Whether you're building intelligent copilots, enterprise Q&A bots, or AI-driven search solutions, this session will equip you with the tools and patterns to push beyond traditional RAG.

Bonk coin airdrop_ Everything You Need to Know.pdfHerond Labs

The Bonk airdrop, one of the largest in Solana’s history, distributed 50% of its total supply to community members, significantly boosting its popularity and Solana’s network activity. Below is everything you need to know about the Bonk coin airdrop, including its history, eligibility, how to claim tokens, risks, and current status. https://blog.herond.org/bonk-coin-airdrop/

Revolutionize Your Insurance Workflow with Claims Management SoftwareInsurance Tech Services

Eliminate the complexities of Event-Driven Architecture with Domain-Driven De...SheenBrisals

The distributed nature of modern applications and their architectures brings a great level of complexity to engineering teams. Though API contracts, asynchronous communication patterns, and event-driven architecture offer assistance, not all enterprise teams fully utilize them. While adopting cloud and modern technologies, teams are often hurried to produce outcomes without spending time in upfront thinking. This leads to building tangled applications and distributed monoliths. For those organizations, it is hard to recover from such costly mistakes. In this talk, Sheen will explain how enterprises should decompose by starting at the organizational level, applying Domain-Driven Design, and distilling to a level where teams can operate within a boundary, ownership, and autonomy. He will provide organizational, team, and design patterns and practices to make the best use of event-driven architecture by understanding the types of events, event structure, and design choices to keep the domain model pure by guarding against corruption and complexity.

Artificial Intelligence Applications Across IndustriesSandeepKS52

Artificial Intelligence is a rapidly growing field that influences many aspects of modern life, including transportation, healthcare, and finance. Understanding the basics of AI provides insight into how machines can learn and make decisions, which is essential for grasping its applications in various industries. In the automotive sector, AI enhances vehicle safety and efficiency through advanced technologies like self-driving systems and predictive maintenance. Similarly, in healthcare, AI plays a crucial role in diagnosing diseases and personalizing treatment plans, while in financial services, it helps in fraud detection and risk management. By exploring these themes, a clearer picture of AI's transformative impact on society emerges, highlighting both its potential benefits and challenges.

How Insurance Policy Administration Streamlines Policy Lifecycle for Agile Op...Insurance Tech Services

Online Queue Management System for Public Service Offices [Focused on Municip...Rishab Acharya

This report documents the design and development of an Online Queue Management System tailored specifically for municipal offices in Nepal. Municipal offices, as critical providers of essential public services, face challenges including overcrowded queues, long waiting times, and inefficient service delivery, causing inconvenience to citizens and pressure on municipal staff. The proposed digital platform allows citizens to book queue tokens online for various physical services, facilitating efficient queue management and real-time wait time updates. Beyond queue management, the system includes modules to oversee non-physical developmental programs, such as educational and social welfare initiatives, enabling better participation and progress monitoring. Furthermore, it incorporates a module for monitoring infrastructure development projects, promoting transparency and allowing citizens to report issues and track progress. The system development follows established software engineering methodologies, including requirement analysis, UML-based system design, and iterative testing. Emphasis has been placed on user-friendliness, security, and scalability to meet the diverse needs of municipal offices across Nepal. Implementation of this integrated digital platform will enhance service efficiency, increase transparency, and improve citizen satisfaction, thereby supporting the modernization and digital transformation of public service delivery in Nepal.

Top 5 Task Management Software to Boost Productivity in 2025Orangescrum

Providing Better Biodiversity Through Better DataSafe Software

This session explores how FME is transforming data workflows at Ireland’s National Biodiversity Data Centre (NBDC) by eliminating manual data manipulation, incorporating machine learning, and enhancing overall efficiency. Attendees will gain insight into how NBDC is using FME to document and understand internal processes, make decision-making fully transparent, and shine a light on underlying code to improve clarity and reduce silent failures. The presentation will also outline NBDC’s future plans for FME, including empowering staff to access and query data independently, without relying on external consultants. It will also showcase ambitions to connect to new data sources, unlock the full potential of its valuable datasets, create living atlases, and place its valuable data directly into the hands of decision-makers across Ireland—ensuring that biodiversity is not only protected but actively enhanced.