Service Introduction
SoftwareProduct Selection Test(Also known as POC testing) refers to a professional service where, before software procurement, bidding or technology introduction, an independent third-party evaluation institution conducts horizontal comparison tests on multiple candidate products based on relevant national standards and user requirements.Product Selection TestBy using scientific software evaluation techniques to verify whether the software meets the business index requirements, it helps the purchasing party distinguish the quality of products, avoid procurement risks, and ensure the scientific and fair nature of the selection decision.
We conducted the tests strictly in accordance with the national standard GB/T 25000.51-2016 "Systems and Software Engineering - Quality Requirements and Evaluation of Systems and Software (SQuaRE) - Part 51: Quality Requirements and test details for ready-to-use software products (RUSP)" and the technical specification in the user's tender documents. Simulate real business scenarios and conduct a comprehensive quality assessment of candidate software products. The tests cover key quality characteristics such as functionality, performance efficiency, information security, compatibility, ease of use, reliability, portability, and maintainability, and conduct compliance reviews on product descriptions and user documentation sets. Ultimately issue an authoritative selection document that has legal effect and can be compared horizontallySoftware Test ReportIt provides quantitative basis for business negotiations and acceptance.
SoftwareProduct Selection TestIt is usually applied in the following scenarios:
Procurement selection for government informatization projects
Enterprise digital system construction
Scoring for large-scale software bidding and tendering
Screening of shortlisted suppliers
It can help enterprises obtain the most optimal solution from numerous software products based on the results of horizontal comparison, prevent substandard software from flowing into the production environment, and ensure the maximization of investment returns.
