Standard test cases : ASPIRE Standard Flow RP Testing.pdf Customization test cases: Customization Release Preview Testing Document – ASPIRE.pdf Issues / concerns reported: RP Issues ASPIRE.pdf
Author: ROSE MARY THOMAS
Important points to check on DEV tasks before moving to QA
Important points to check before moving a DEV task to QA are: Verify whether the Code Review is completed Check if the Unit Testing results are shared with proper details., after the final code review Testing Requirement / Scope is specified in the JIRA Task for smooth QA execution Re-check if the bug fixed, is… Continue reading Important points to check on DEV tasks before moving to QA
BlueLeaf Test Execution status: NetSuite RP 2025.1
Please find the final test execution status details below :
BlueLeaf Care- RP 2025.1 Standard flow Test cases
BlueLeaf Care- RP 2025.1 Customization Test cases link: TC Doc
BlueLeaf Care- RP 2025.1 Standard flow Test cases
BlueLeaf Care- RP 2025.1 Standard flow Test cases TC DOc
Release Preview Document- Jobin and Jismi – NetSuite 2025. 1 release
Introducing Release Preview Account | Version – 2025.1 NetSuite has announced the availability of its latest product version, Release 2025.1, providing clients with access to the latest features and enhancements. Like past releases, customer accounts will be upgraded to Release 2025.1 within the next three months. What is NetSuite Release Preview account? Your Release Preview… Continue reading Release Preview Document- Jobin and Jismi – NetSuite 2025. 1 release
Proposal template for NetSuite 2025.1 release
PAGE1: PROPOSAL FOR RELEASE PREVIEW TESTING OF XXXXXXX _________________________________________________________________________________ JOBIN AND JISMI IT SERVICES LLP ZZ Feb 2025 PAGE2: Proposal For Release Preview Testing of XXXXXXX This proposal covers the scope for Release preview 2025.1 testing of the normal processes like Order to cash, procure to pay, Lead to cash, Design to Build, Record to… Continue reading Proposal template for NetSuite 2025.1 release
LLM Model
A Large Language Model (LLM) is a type of artificial intelligence designed to understand and generate human-like text based on vast amounts of data. These models, such as GPT-4, are trained on diverse datasets that include books, articles, and websites, enabling them to perform a wide range of language-related tasks. LLMs can generate coherent and… Continue reading LLM Model
CONS of AI in Software Testing
1.Initial Setup Costs: High Investment: Implementing AI in software testing requires a significant initial investment in tools, infrastructure, and training. ROI Uncertainty: The return on investment (ROI) may not be immediately apparent, making it challenging to justify the initial costs. 2.Complexity: Technical Expertise: Setting up and maintaining AI systems requires specialized knowledge and skills, which… Continue reading CONS of AI in Software Testing