A SURVEY ON AUTOMATED TOOL FOR SOFTWARE QUALITY IMPROVEMENT
Keywords:
Software Engineering, Data Quality, Fraud Prediction, Security, Software Measurements.Abstract
Many software organizations today are confronted with challenge of building secure software systems. Traditional software engineering principles place a wide importance on security. Software principles tend to outline security as one of a long list of quality aspect with the hope of high efficiently developed software. As software systems of today have a broad reach, security has become a challenge. An essential need is developed to adopt security into software engineering. Software engineering mainly focused on structure of process, methods and tools which also considers other constraints to enhance and sustains the software process in appropriate manner. The challenge of Software standards lies in high security and maintenances with lengthy list of quality issues and probability of highly improved software. The conventional software engineering ideologies are settled with minimum importance on security. Data quality in software engineering defines attributes with various specification of context to present better software information process. Software fault prediction replicas are utilized to discover the fault levels in various components which lead to high-principled software. The attainment of the fault prediction replicas is connected with existing software measurements and fault information to determine the threads. Security factors turn into a huge precedence process in software engineering and software systems. Moreover, security on online networking process is gradually increasing for protecting the software issues. The necessity of better quality information for the users demands the improvising of software engineering. Experimental evaluation on software quality with parameters like fault prediction rate, software failure rate, software protection cost prove the efficiency.