HealthCare.gov, the health insurance exchange website operated by the United States federal government, has reportedly suffered a data breach. A…
Development
In this article, we will explore 10 great alternatives to Laravel, each with its own unique strengths and features. Whether…
Design is about understanding and solving user problems. It’s about making experiences simple, accessible, and easy to use. Google states…
The innovative mirrored glass works seamlessly to unite traditional craftsmanship with generative algorithms. Each is inspired by a name, word,…
Professionals across various industries have historically relied on concepts to communicate and sell ideas. Concepts are very common in advertising,…
The accepted proposal is a green light for the CSSWG to work on the idea with the intent of circulating…
Launching a greenfield application or rolling out a new feature can be like going out into the wilderness: you can…
Ensuring product sustainability has both global and local impacts. As the US Environmental Protection Agency points out, reducing waste and…
Voice interaction technology has significantly evolved with the advancements in artificial intelligence (AI). The field focuses on enhancing natural communication…
Large language models (LLMs) have been instrumental in various applications, such as chatbots, content creation, and data analysis, due to…
Pretrained large models have shown impressive abilities in many different fields. Recent research focuses on ensuring these models align with…
Significant issues arise when programming knowledge and task assistants based on Large Language Models (LLMs) carefully follow developer-provided policies. To…
Deep learning systems must be highly integrated and have access to vast amounts of computational resources to function properly. Consequently,…
The rapid advancement of LLMs has enabled the creation of highly capable autonomous agents. However, multi-agent frameworks need help integrating…
Existing open-source large multimodal models (LMMs) face several significant limitations. They often lack native integration and require adapters to align…
Natural Language Processing (NLP) focuses on the interaction between computers and humans through natural language. It encompasses tasks such as…
Vision-language models have evolved significantly over the past few years, with two distinct generations emerging. The first generation, exemplified by…
One of the emerging challenges in artificial intelligence is whether next-token prediction can truly model human intelligence, particularly in planning…
I am writing up a white paper to introduce Agile. As my role is a QA engineer working for a consultancy company.
We want customers to hire us to train them in implementing Agile and we DO want our customers to be aware of various traps when implementing Agile as well as false expectations.
I am thinking of adding some scenarios that show if Agile is not properly implemented, it may backfire on you.
Have you experienced any scenarios where Agile does not improve efficiency or even hurdle coding?
Background
We are currently moving API testing from the Technical testing team to the development team. The technical testing team has a formal process where they write the test objectives and test cases prior to developing the script in SOAPUI. Therefore, analyzing the specification and supporting requirements document are important for deriving the tests.
In the new world the developers will code/point and click their unit tests and there will be no other QA other than the UAT of the consumption of API, which can happen between a month to three months after the API has been created. The API is not an open API, only for third party suppliers and internal web and app resources.
There is an argument that additional QA work is not needed if the developers are writing the unit tests, so developers do not need to have an analysis phase or write test cases prior to setting them up in SOAPUI or coding the test.
We create enterprise level financial websites and applications. The teams is 30+ strong.
Question
Should developers still perform such analysis and write test cases?