Integration Testing

Testing of combined modules of an application to determine whether they are
functionally working correctly. The ‘parts’ can be code modules, individual
applications, client and server applications on a network, etc.

Types of Integration Testing:
1. Big Bang: In this approach, all or most of the developed modules are coupled
together to form a complete software system or major part of the system and then used
for integration testing. The Big Bang method is very effective for saving time in the
integration testing process.

2. Bottom up Testing: This is an approach of integration testing where the lowest level
components are tested first, then used to facilitate the testing of higher level components. The
process is repeated until the component at the top of the hierarchy is tested.

All the bottom or low-level modules, procedures or functions are integrated and then tested.
After the integration testing of lower level integrated modules, the next level of modules will be
formed and can be used for integration testing.

3. Top down Testing: This is an approach of integration testing where the top level
modules are tested and the branch of the module is tested step by step until the end of the
related module.

4. Sandwich Testing: This is an approach of combination of both top down testing with bottom up testing.


Posted

in

by

Tags:

Recent Post

  • Generative AI in Sales: Implementation Approaches, Use Cases, Challenges, Best Practices, and Future Trends

    The world of sales is evolving at lightning speed. Today’s sales teams are not just tasked with meeting ambitious quotas but must also navigate a maze of complex buyer journeys and ever-rising customer expectations. Despite relying on advanced CRM systems and various sales tools, many teams remain bogged down by repetitive administrative tasks, a lack […]

  • Generative AI in Due Diligence: Integration Approaches, Use Cases, Challenges, and Future Outlook

    Generative AI is revolutionizing the due diligence landscape, setting unprecedented benchmarks in data analysis, risk management, and operational efficiency. By combining advanced data processing capabilities with human-like contextual understanding, this cutting-edge technology is reshaping traditional due diligence processes, making them more efficient, accurate, and insightful. This comprehensive guide explores the integration strategies, practical applications, challenges, […]

  • Exploring the Role of AI in Sustainable Development Goals (SDGs)

    Artificial Intelligence (AI) is revolutionizing how we address some of the world’s most pressing challenges. As we strive to meet the United Nations’ Sustainable Development Goals (SDGs) by 2030, AI emerges as a powerful tool to accelerate progress across various domains. AI’s potential to contribute to sustainable development is vast from eradicating poverty to combating […]

  • Future Trends in AI Chatbots: What to Expect in the Next Decade

    Artificial Intelligence (AI) chatbots have become indispensable across industries. The absolute conversational capabilities of AI chatbots are enhancing customer engagement, streamlining operations, and transforming how businesses interact with users. As technology evolves, the future of AI chatbots holds revolutionary advancements that will redefine their capabilities. So, let’s start with exploring the AI chatbot trends: Future […]

  • Linguistics and NLP: Enhancing AI Chatbots for Multilingual Support

    In today’s interconnected world, businesses and individuals often communicate across linguistic boundaries. The growing need for seamless communication has driven significant advancements in artificial intelligence (AI), particularly in natural language processing (NLP) and linguistics. AI chatbots with multilingual support, are revolutionizing global customer engagement and service delivery. This blog explores how linguistics and NLP are […]

  • How Reinforcement Learning is Shaping the Next Generation of AI Chatbots?

    AI chatbots are no longer just about answering “What are your working hours?” or guiding users through FAQs. They’re becoming conversation partners, problem solvers and even reporting managers and sales agents. What’s driving this transformation? Enter Reinforcement Learning (RL)—a type of machine learning that’s changing the way chatbots think, learn, and respond. At Codalien Technologies, […]

Click to Copy