As GenAI becomes embedded in developer toolchains and practices, and routine code is
increasingly generated, human creativity will be increasingly important for generating …

Large language models (LLMs) have demonstrated significant prowess in code analysis
and natural language processing, making them highly valuable for software testing. This …

What-if analysis (WIA), crucial for making data-driven decisions, enables users to
understand how changes in variables impact outcomes and explore alternative scenarios …

In this study, we compare the performance of five chatbots using large language models
(LLMs) in handling web development tasks. Three human testers asked each chatbot nine …

The integration of Large Language Models (LLMs) and chatbots introduces new challenges
and opportunities for decision-making in software testing. Decision-making relies on a …

In the short period since the release of ChatGPT in November 2022, large language models
(LLMs) have changed the software engineering research landscape. While there are …

As software systems grow more complex, automated testing has become essential to
ensuring reliability and performance. Traditional methods for boundary value test input …

The integration of Large Language Models (LLMs) and chatbots introduces new challenges
and opportunities for decision-making in software testing. Decision-making relies on a …

The rapid advancements in artificial intelligence have transformed software testing, with
Large Language Models (LLMs) emerging as powerful tools for automating test case …

Having a high quality software is essential in software engineering, which requires robust
validation and verification processes during testing activities. Manual testing, while effective …