Customer Cases
Pricing

Most common types of software bugs in QA Testing

As per Wikipedia, "A software bug is an error, flaw or fault in a computer program or system that causes it to produce an incorrect or unexpected result, or to behave in unintended ways".

Comprehensive testing and optimizations are needed because errors need to be identified, recorded, and resolved. If testers are aware of the most common types of bugs or defects they are likely to encounter, they can tackle them earlier, faster and more effectively. So next we will discuss the most common types of software bugs or defects encountered in software testing.

Functional Bugs

A functional bug means that the program does not work as intended, each type of software has its unique quality requirements, any component in an app or website that doesn’t function as intended is a functional bug. Such bugs are often detected when testers conduct comprehensive functional testing for their apps or websites in real user conditions. Functional bugs can be fixed by performing functional testing.

Integration Errors

Integration level bugs are defects that occur when two or more units of code written by different developers fail to interact with each other. These defects can be difficult to find and fix. It requires coordination between multiple teams. However, they can have a significant impact on the overall quality of the software. Integration bugs can be fixed by performing integration testing.

Performance Defects

Performance defects are related to speed, stability, response time, and resource consumption by software. The bugs will impact the performance of the software. Performance bugs are caused by a number of different factors. Usability bugs can be fixed by performing performance testing.

Syntactic Errors

Syntactic mistakes are wrongly spelled terms or grammatically wrong phrases, they are the most basic type of defect. The errors occure when the code violates the rules of the programming language. Syntactic mistakes will usually prevent the code from running at all, so they're easy to spot and fix.

Calculation Errors

It is one of the most common software errors. It may happen due to any of the following reasons: incorrect logic, incorrect formulae, data type mismatch, programming errors, incorrect arithmetic operator order, etc. For example, when a wrong formula is used for calculation, incorrect logic may happen.

Conclusion

Defects are an inevitable in the software industry. Prevention is better than cure. You could think ahead, anticipate bugs that can appear in your mobile/web app after you fix an existing bug, the expenses of detecting and fixing bugs increase significantly as software testing progresses. Therefore, early detection of software errors is essential.

For any inquiries, please contact: wetest@wetest.net

PD网络测试推广
Latest Posts
1PerfDog & Service(v11.1) Version Update PerfDog v11.1 enhances cross-platform testing with new Windows, iOS, PlayStation support, advanced GPU/CPU metrics, high-FPS capture, and improved web reporting and stability.
2How LLMs are Reshaping Finance: AI Applications & Case Studies Explore how top banks like ICBC, CCB, and CMB are leveraging LLMs (DeepSeek, Qwen) for wealth management, risk control, and operational efficiency. A deep dive into the financial AI ecosystem.
3Testing as a Craft: Reshaping QA in the Age of AI (20-Year Insight) Explore the 20-year evolution of software testing. From manual automation to DeepSeek R1, a veteran practitioner shares deep insights into AI-driven innovation, technical paradigms, and the future of the testing craft. Read the full roadmap.
4Top Performance Bottleneck Solutions: A Senior Engineer’s Guide Learn how to identify and resolve critical performance bottlenecks in CPU, Memory, I/O, and Databases. A veteran engineer shares real-world case studies and proven optimization strategies to boost your system scalability.
5Comprehensive Guide to LLM Performance Testing and Inference Acceleration Learn how to perform professional performance testing on Large Language Models (LLM). This guide covers Token calculation, TTFT, QPM, and advanced acceleration strategies like P/D separation and KV Cache optimization.