`software-quality` Related Article Results

Static code analysis is one of the fundamental testing and verification methods used in the software development lifecycle (SDLC) to improve software quality. It involves examining the source code without executing it, using various automated tools or manual review techniques. This analysis aims to identify potential bugs and weaknesses based solely on the structural and syntactic properties of the code, without observing its dynamic behavior.As defined by the International Software Testing Qual

Code review is a step in the software development process where code written by a developer is examined by one or more other developers to ensure quality, adherence to standards, and error detection. This process goes beyond simply producing functional code; it aims to create software that is sustainable, readable, secure, and efficient. Research has shown that code review can be more effective than other testing steps such as unit testing and functional testing in identifying bugs and improving

Data-Driven Testing (DDT) is a testing technique in software testing processes that evaluates the consistency of software behavior under various conditions by executing test scenarios with different data inputs. This approach enhances repeatability by enabling test automation, simplifies test maintenance, and systematically analyzes how the system behaves across diverse data scenarios.Objectives of Data-Driven Testing The primary objectives of data-driven testing extend beyond merely repeating t

Software quality is fundamentally related to the extent to which a software product meets specified requirements. While ISO defines quality as the ability of a product or service to meet explicit or implicit needs, IEEE describes it as the degree to which a system, component, or process satisfies specified requirements and user expectations. Both definitions are user-centered and emphasize that software must satisfy not only technical specifications but also user expectations.The software develo