Libraries & Frameworks

This blog discusses the transformative impact of digital technologies like AI, RPA, and data analytics in the financial services industry. It highlights the industry’s shift towards customer-centric models and operational efficiency through automation, advanced data analytics, and cybersecurity measures. Key areas include improved customer experience, efficiency, cost savings, and enhanced risk management. The role of technological advancements in reshaping financial services to meet modern demands and ensure competitiveness is emphasized, illustrating the critical benefits and trends driving this evolution.
The post Digital Transformation: Shaping the Future of Financial Services first appeared on TestingXperts.

In 2024, AI is set to transform platform engineering by automating tasks, enhancing predictive analytics, and optimizing operational efficiency. As businesses adopt advanced technologies like cloud and microservices, AI’s role becomes crucial in managing complexities and scaling innovations. The blog discusses how this integration promises significant application deployment and system management improvements, boosting productivity and business resilience. Additionally, addressing AI-related challenges such as data privacy and ethical concerns is essential for maximizing AI’s potential in platform engineering.
The post How will AI transform Platform Engineering in 2024? first appeared on TestingXperts.

I am designing automation scripts using the REST APIs, RestAssured with Cucumber BDD framework. I have multiple APIs where one API’s response is used as a parameter in another API.
Here is my feature file:
Feature: Create Order API

@Background:
Scenario Outline: Generate Access token With Valid Details
Given Query param for request
| grant_type |
| client_credentials |
Given Basic Auth keys for request “<userName>” and “<key>”
When Build request for baseurl “PAYPAL_BASE_URI” and endpoint “ENDPOINT_GET_AUTH_KEY”
And Perform “POST” request using
Then status code is 200
And response contains “scope”
Examples:
| userName | key |
| AWnCb | EMAekuSA2f |

Now the response of the above API is as follows:
{
“scope”: “https://uri.pppaypal.com/services/invoicing https://uri.pppaypal.com/services/applications/webhooks”,
“access_token”: “ALs1szFnv2TJ19Zf3vq”,
“token_type”: “Bearer”,
“app_id”: “APP-284543T”,
“expires_in”: 311286,
“nonce”: “2022-05-31T03:41:41ZWs9dpOQ”
}

Now I need this “access_token” as in the “Create Order API” Authorization parameter with Bearer. also i need to pass “app_id” and “nonce” in the Create Order API. The “Create Order API” feature file is below:
Scenario: Verify create order api using valid auth
Given Generate request
And Build request for baseurl “PAYPAL_BASE_URI” and endpoint “ENDPOINT_CREATE_ORDER_API”
And Set header values as
| Content-Type | Authorization | app_id | nonce |
| application/json | <token> | <app_id> | <nonce> |
When Perform “POST” request using “FILE_PATH_ORDER_JSON”
Then status code is 201

How can I get the values from the response of one API and the use that data in the next API as payload or query param in the same feature file so that I can use it anywhere in this feature file?

I was trying to interact jmeter and influx db but getting as ERROR o.a.j.v.b.i.HttpMetricsSender: Error writing metrics to influxDB Url: http://localhost:8086/api/v2/write?org=ITM&bucket=JMter, responseCode: 401, responseBody: {“error”:”unable to parse authentication credentials”}
Could anyone please help me.

In any testing situation, when you’re using a tool, you must understand its working principles. You must know what it can and cannot do. You must know how to configure it, and how to calibrate it, how to observe it in action, and how to adjust or repair it when it’s not working properly. To do THAT effectively, you must be able to recognize when your tool is not working. … Read more

“Language models” is typically interpreted as a compound noun, something that models language. What happens if we consider “models” as a verb, though? We get a simple declarative sentence, with an implied object: language models our thinking, or language models the world. As with any model, replacing or modifying one of its elements can suggest something interesting, which can help us to refine our answers to two big questions that … Read more

AI dramatically transforms the gaming industry by automating world creation, producing realistic graphics, and optimizing production economics. The blog discusses how it enhances game testing and data optimization, ensuring polished, engaging, high-performance games. However, challenges like intellectual property and ethical concerns need careful management. AI also enables dynamic NPC behaviors and personalized gaming experiences.
The post AI in Games: 5 Ways it’s Transforming the Industry first appeared on TestingXperts.