Software testing is an essential process in software development that aims to identify defects and ensure that software is functioning as intended. Various testing techniques are employed to achieve this goal, but the effectiveness of these techniques varies. In this research paper, analyzes the effectiveness of different testing techniques in ensuring software quality. The paper explores different testing techniques, including manual and automated testing, and evaluate their effectiveness in terms of identifying defects, reducing the number of defects in software, and ensuring that software meets its functional and non-functional requirements. Moreover, the paper will also investigate the impact of factors such as testing time, test coverage, and testing environment on the effectiveness of these techniques. This research aims to provide valuable insights into the effectiveness of different testing techniques, enabling software development teams to make informed decisions about the testing approach that is best suited to their needs. By improving testing techniques, the number of defects in software can be reduced, enhancing the quality of software and ultimately providing better software for users.

The process of software development is complex and requires thorough quality control measures to ensure that software products adhere to the required standards. The primary goal of this study was to investigate the correlation between the complexity of a software code-base and the efficiency of software code reviews and inspections. The study used a hybrid approach, utilizing automated static code analysis tools and manual code reviews to detect potential code quality concerns. Additionally, we used cyclomatic complexity and other metrics to measure code complexity. Criteria were decided on to select technical personnel from industries for the purpose of conducting a code review and a feedback survey. Afterward, the responses obtained from the survey were used to determine the impact caused by the complexity of the code base on the efficiency of software code reviews and inspections.

In the industry of software engineering regression testing plays a crucial yet essential role as it is done to ensure that an update or a change does not impact existing functionality and that the changes won’t corrupt the user requirements. When it comes to regression testing total number of test cases required to moderately test a software system can be very large, and it is a disadvantage/challenge that Quality Assurance Engineers/testers face as it could be time-consuming and have to engage a vast number of resources. Since humans started to engage in the software industry it was crystal clear that they always cleverly came up with excellent solutions to overcome the challenges they faced. Developing test case prioritization techniques was the magnificent solution they hammered out to prevail over the challenge. In that way, they could optimize testing resources and detect faults easily. This research paper dispenses an assessment of various test case prioritization techniques in the context of regression testing. This paper collates and contrasts those techniques according to the criteria such as precision of fault detection, time consume for testing, and the cost initialized for each technique. Through our research findings and the suggestion, we provide in the paper, IT professionals who are engaged in the regression process will get a consequential impact on us as they could improve effectiveness and efficiency and also save man-hours resources while enhancing the quality and reliability of the product. As the research paper provides valuable insights on regression testing this is “shouldn’t miss” research for everyone who interacts with testing. The work is valuable for other concerned readers as well.