Regression Testing
Regression testing is the process to ensure the data are working properly with the existing software. The main aim is to fix the bugs and to make sure the problems are solved. Regression testing is acting as the control measure for maintaining the quality of the product with its specified requirements and the code.
Verifying the application works by changing the code to test whether the product needs any enhancement methods to be used. Few cases the end user rise the request to change the methodological aspects through the incremental programming that implies more and meet the project goals.
regression-testing
Figure: Regression Testing
Analyzing Regression
Regression analysis is the statistical tool used for the investigation between the variables. Variables may depend on anything according to the project and the inflation rate. Generally the investigator tries to understand which variable is relying on the other as the contributory effect. Arranging the data in the assembly method and estimating the quantitative effect clearly picture us where the problem is from?
Through which the investigator can assess the statistical importance for the estimated
Relationship, with the highest degree of confidence to close the issues evolved through the relationship. Regression testing is of three types as
Unit regression testing- Test the particular unit with the module
Regional regression testing – Retesting and identifying the impacts from the fixed areas, run by the companies
Full regression testing- Even after fixing the changes, in case there is a negative impact they will conduct the full regression testing instead of correcting the impact point.
Apart from the three major types some are used as the sub modules of the regression testing used in different levels and in different circumstances like system level testing, global variables, object oriented software testing, selective comparisons and cost comparisons.
Whatever the types of testing, normally used to select the technique based on the four categorize we select which one to choose
Inclusiveness measure the extent of modification to reveal the tests program and test suite
Precision measures the extent of non modification programs also helps to understand the relativity of the safe selection test
Efficiency is measured with the time and space requirements. Both phases are applicable while evaluating the efficiency. This concerns the ability to handle the cases with multiple modifications that mainly depends on the analyses and the process of modified programs are forced to reanalyzed and perform the modifications to analyze the significant importance of the cost approach.
Generality is the ability to function the practical range to describe the several factors considered for evaluation. Selections should be analyzed and identified for practical programs, by handling the realistic program modifications, assumptions are based on the maintenance and techniques used, Analysis tool is less general than the technique, regression testing tool supports the inter and intra procedural levels of programs, practically the inter procedural levels are used to analyze and justify the solutions.
Designing Regression Testing
Why need to design the regression and what basis? All these are based on one single factor called risk. To identify, activities are designed with the help of methodologies to identify the risk from various levels with the abstractions from the initial conception to final stage of implementation. Defining the metrics is the key area with which we get the exact instances like return on investment, choices to evaluate, compare the alternatives and by monitoring the improvement, making predictions with the early warnings, setting up the benchmarks for the competitions. Ideally the verification will take place right from the coding level to the delivery level. Only in rare cases, the test will be conducted at each level of the design.
The specification or architectural testing done based on models, gives us the clear idea how we are going to perform, queuing based indicates the system work will be done less or more than the designer. Performance analysis are quantitative, executes the modeled operations. Behavioral level is the debugging level, mainly used to initialize the simulator.
Test automation can be automated by executing the test scripts, every change happening will be introduced in the system helps eliminate the oversight resulted faster and cheaper execution. Selective testing never does with all the steps but executes the test cases selectively by restoring the time and the effort.
For the best output design the output as focus based to test the prerequisite and the responsibilities can be created through the regression test plan. The test cases cover the major steps that are needed as the input and output as expected this addresses greatly with the changes and the functionality components includes the testing performance that are applicable to the changes for the effective tracking.
Implementation regression testing
The final part is the implementation with the two main problems the metadata format and the storage. The metadata format is used in the developmental paradigms with the set of standards allowing the subtypes, contents to flexible their extensions for the consumption. These consumptions called the components to exclusively propose the future considerations. This can be used to utilize in the relational database with the power of SQL, considered as the standard requirement for the self checking code examples in C, logical data are used in the nested components to reveal the method and attribute, differentiation can be examines and implemented further by checking the virus, authenticity, tampering and the version to take the business decision to avoid fraudulent and thus by taking the advantage towards the product success with the full safety.
Final Stage
The inventory is the final stage to conclude with all the limitations and the test case ended with the possibility of pre and post conditions to pass the dispenser. The metadata is dynamically used to innovate and prove the expensive testing phase to provide the output and reporting the malfunctions. The quality is marked as the effect of the implementation functions well without serious flaws and so the applications are well performed under any circumstances. The risk factors are eliminated with the help of meta-content helps controlling the test cases for the effective usage of application.